CN111932832A - Construction engineering environment disaster accident monitoring and early warning method - Google Patents
Construction engineering environment disaster accident monitoring and early warning method Download PDFInfo
- Publication number
- CN111932832A CN111932832A CN202010789865.6A CN202010789865A CN111932832A CN 111932832 A CN111932832 A CN 111932832A CN 202010789865 A CN202010789865 A CN 202010789865A CN 111932832 A CN111932832 A CN 111932832A
- Authority
- CN
- China
- Prior art keywords
- data
- early warning
- construction
- monitoring
- environment
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/10—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using wireless transmission systems
Landscapes
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental & Geological Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a monitoring and early warning method for construction engineering environmental disaster accidents, which relates to the technical field of monitoring and early warning of construction engineering and comprises the following steps: acquiring real-time characteristic data of the environment along the engineering line and the construction site built in the period; transmitting the acquired characteristic data to a detection platform through a built communication network; the detection platform builds a data analysis early warning model, and takes the collected real-time characteristic data as input data to obtain a data analysis result; presenting the analysis result. The invention realizes the comprehensive monitoring and early warning of the monitoring data of the natural environment and the construction site, has high practicability and timely response, can monitor and directly reflect the actual deformation and stable state of a monitored object and the influence degree of the site construction on the surrounding environment conditions in real time, analyzes the construction characteristics of the area and provides data support for similar projects in the area.
Description
Technical Field
The invention relates to the technical field of monitoring and early warning of construction engineering, in particular to a monitoring and early warning method for environmental disaster accidents of construction engineering.
Background
At present, a large number of uncertain factors exist in tunnel engineering construction, and the construction of the tunnel engineering has the particularity that: special geographical position, high quality and safety requirements, large quantity of multiple projects related to engineering major, multiple underground and outdoor operations, close relation between engineering and surrounding environment, fluidity of production, single-piece property of production and long production period. The tunnel construction is determined to have a large number of uncertain safety risks, so that the probability of safety accidents in the construction process is extremely high, and the accident consequence is serious.
In the face of complicated and variable natural environments, ensuring the safety of railway construction and minimizing damage caused by construction disaster accidents are still important issues facing the present. With the construction of the Beidou satellite navigation system and the construction of the basic geographic information database in China, a geological disaster monitoring and early warning system based on the Beidou/GPS technology can be gradually built in a dangerous area, the early warning and forecasting capacity of geological disasters can be effectively improved after the system is built, real-time information service is provided for disaster prevention and reduction, and decision support and information publishing service are provided for functional departments.
Therefore, a method for monitoring and early warning environmental disasters and accidents in construction engineering is needed.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the problems in the related art, the invention provides a monitoring and early warning method for environmental disaster accidents of construction engineering, which aims to overcome the technical problems in the prior related art.
The technical scheme of the invention is realized as follows:
a monitoring and early warning method for construction engineering environmental disaster accidents comprises the following steps:
step S1, acquiring real-time characteristic data of the environment along the engineering line and the construction site built in the period;
step S2, transmitting the acquired feature data to a detection platform through a built communication network;
step S3, the detection platform builds a data analysis early warning model, and takes the collected real-time characteristic data as input data to obtain a data analysis result;
in step S4, the analysis result is presented.
Furthermore, real-time characteristic data of the environment along the engineering line and the construction site are built in the acquisition period, and the real-time characteristic data comprises a displacement monitor, an inclinometer, a joint meter, a pressure sensor, a rain gauge, a water level meter, a temperature and humidity sensor and an oxygen monitor.
Further, the communication networking comprises a Beidou communication network and a GSM communication network.
Further, the method for building the data analysis early warning model comprises the following steps:
acquiring historical GIS data, BIM data, meteorological data and geological environment data in advance;
calibrating historical data of the feature selection strategy;
calibrating potential disaster prediction multi-granularity data;
and calibrating the rapid identification and intelligent evaluation data of the disaster dangerous area.
Further, the analysis result is presented, and comprises a terminal display screen and a portal website.
The invention has the beneficial effects that:
the invention provides a monitoring and early warning method for environmental disasters and accidents of construction engineering, which comprises the steps of acquiring real-time characteristic data of an environment along a construction line and a construction site built in a period, and transmitting the real-time characteristic data to a detection platform; and a data analysis early warning model is set up, the acquired real-time characteristic data is used as input data, a data analysis result is obtained, the analysis result is presented, comprehensive monitoring and early warning of the monitoring data of the natural environment and the construction site are realized, the practicability is high, the response is timely, the actual deformation and the stable state of a monitoring object and the influence degree of site construction on the surrounding environment condition can be directly reflected by real-time monitoring, the construction characteristics of the area are analyzed, and data support is provided for similar projects of the area.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a monitoring and early warning method for a construction engineering environmental disaster accident according to an embodiment of the present invention;
fig. 2 is a schematic system architecture diagram of a monitoring and early warning method for a construction engineering environmental disaster accident according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a transmission network of a monitoring system of a monitoring and early warning method for a construction engineering environmental disaster accident according to an embodiment of the present invention;
fig. 4 is a schematic view of a scene application of a monitoring and early warning method for a construction engineering environmental disaster accident according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of a method for monitoring and early warning of a construction engineering environmental disaster accident according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
According to the embodiment of the invention, a monitoring and early warning method for construction engineering environmental disaster accidents is provided.
As shown in fig. 1, the monitoring and early warning method for the construction engineering environmental disaster accident according to the embodiment of the present invention includes the following steps:
step S1, acquiring real-time characteristic data of the environment along the engineering line and the construction site built in the period;
step S2, transmitting the acquired feature data to a detection platform through a built communication network;
step S3, the detection platform builds a data analysis early warning model, and takes the collected real-time characteristic data as input data to obtain a data analysis result;
in step S4, the analysis result is presented.
The method comprises the steps of acquiring real-time characteristic data of the construction project along-line environment and a construction site in a period, wherein the real-time characteristic data comprises a displacement monitor, an inclinometer, a joint meter, a pressure sensor, a rain gauge, a water level meter, a temperature and humidity sensor and an oxygen monitor.
The communication networking comprises a Beidou communication network and a GSM communication network.
The method for building the data analysis early warning model comprises the following steps of:
acquiring historical GIS data, BIM data, meteorological data and geological environment data in advance;
calibrating historical data of the feature selection strategy;
calibrating potential disaster prediction multi-granularity data;
and calibrating the rapid identification and intelligent evaluation data of the disaster dangerous area.
And the analysis result is presented and comprises a terminal display screen and a portal website.
By means of the scheme, real-time characteristic data of the construction project along-line environment and the construction site in a period are acquired and transmitted to the detection platform; and a data analysis early warning model is set up, the acquired real-time characteristic data is used as input data, a data analysis result is obtained, the analysis result is presented, comprehensive monitoring and early warning of the monitoring data of the natural environment and the construction site are realized, the practicability is high, the response is timely, the actual deformation and the stable state of a monitoring object and the influence degree of site construction on the surrounding environment condition can be directly reflected by real-time monitoring, the construction characteristics of the area are analyzed, and data support is provided for similar projects of the area.
In addition, as shown in fig. 2-5, the monitoring and early warning system is built by an access layer. The system comprises a transmission network and basic support hardware, and mainly comprises equipment such as a Beidou communication network, a GSM communication network, storage equipment, server virtualization and the like, and facility environments such as a server, a computer, a network switch, a router, a dispatching center and the like. The monitoring and early warning system sensing layer is based on the internet of things technology, video monitoring, GIS, BIM and Beidou technology, and the main sensors comprise a displacement monitor, an inclinometer, a joint meter, a pressure sensor, a rain gauge, a water level meter, a temperature and humidity sensor, an oxygen monitor and the like.
In addition, the data layer building comprises two parts of a database and data processing. The database comprises GIS data, BIM data, meteorological data, geological environment data and the like; the data processing is based on the construction of a history and online data mining model of a feature selection strategy, a potential disaster prediction method and a multi-granularity knowledge discovery method of drift features, a disaster dangerous area rapid identification and intelligent evaluation technology of big data analysis, and a data mining method and a model for predicting disaster accident precursor information in the construction period of the Tokawa-tibet railway are established.
The platform layer comprises modules such as a GIS platform, a BIM platform, an algorithm management platform, a model management platform, a block chain platform and the like, and provides a uniform support engine for the service system. The monitoring and early warning system application layer provides system service functions, including comprehensive query, historical data analysis, early warning analysis, grading early warning and the like, and is a tool for system management and maintenance.
In addition, the monitoring and early warning system display layer is used as an entrance of the system and is displayed to the user in a portal website mode, and the system user can access disaster early warning results in client software, an IE browser, a handheld terminal and the like. Information security guarantee and standardization standard system. The method mainly comprises the system maintenance management of each business application, the service maintenance management of a software support system and the network security management; the system carries out the relevant national standards and specifications of technology, management and the like, follows the implementation specifications of integration, integration and cooperation of a business system, and is scientifically and reasonably applied.
In addition, the transmission network is composed of a Beidou communication network and a GMS network, the construction site early warning monitoring point has extremely poor communication conditions, and the communication network has signal drift and even communication blind areas; and the disaster monitoring system based on the ground wireless communication base station can not ensure real-time operation under the conditions, and is easy to be damaged and influenced by external factors such as earthquake, geological disaster and the like. Therefore, the front-end wireless sensing network of the system transmits the data information through the GMS network or the Beidou satellite network after collecting the data information. The Beidou satellite system has a short message communication function besides a positioning function, can realize seamless coverage of the whole territory and is not limited by ground disasters and environmental conditions. According to the Beidou communication system, the Beidou communication terminal adopts a Beidou/GPS integrated user machine, the terminal integrates two satellite positioning modes of Beidou and GPS, has a Beidou message communication function, and has good field environment adaptability.
In addition, important natural geological environment parameters such as displacement, settlement, crack development, rainfall, osmotic pressure, soil moisture content, underground water level, temperature and the like are monitored by using a high-precision sensor; the GIS + BIM technology is used as a foundation to monitor the construction site environment in real time, including deformation of construction equipment, constructors, surrounding rocks, primary linings, side slopes, surrounding buildings, surrounding rock soil and the like. The selected sensor has the characteristics of small volume, high precision, wear resistance, collision resistance, good waterproof performance and the like, and is suitable for complex geological environments.
And the data processing excavates a large amount of monitoring and early warning data, and historical and online data are analyzed in a machine learning mode, so that a data excavation method and a model for analyzing and judging abnormal monitoring data and predicting disaster precursor information of disaster accidents in the construction period of the Sichuan-Tibet railway are established.
In addition, the BIM technology is applied to single buildings, attribute information of the BIM technology can be refined to the component level, and the BIM technology has the characteristics of high visualization degree, comprehensive building information, good management compatibility and the like.
In summary, with the above technical solution of the present invention, the following effects can be achieved:
1. in the aspect of data storage and transmission, the data storage and transmission based on a block chain platform verifies and stores data by using a block chain type data structure, generates and updates data by using a distributed node consensus algorithm, and ensures the safety of data transmission and access by using a cryptology mode; the transmission channel is based on the Beidou satellite network and the GMS network, when the transmission channel is damaged and influenced by external factors such as earthquake, geological disaster and the like, the Beidou satellite system is used for realizing seamless coverage of the whole territory, the limitation of ground disaster and environmental conditions is avoided, and the safety and stability of data transmission under special environment are ensured.
2. The intelligent construction technology based on the high-precision sensor and GIS + BIM can realize the full-period sensing and monitoring of the field construction process, and can realize the real-time supervision of the construction quality and the field safety; the meteorological early warning system based on the Beidou technology and the geological disaster monitoring system based on the GIS and the Beidou can realize accurate monitoring of the meteorological disasters and the geological disasters of the complex geological area in the danger, and the GIS and the Beidou technology can realize accurate monitoring of the geological disasters and the meteorological environment in the construction operation.
3. In data processing, by means of a big data analysis processing platform, cleaning and digging, intelligent analysis and comprehensive study and judgment of data are carried out through manual and intelligent means such as machine learning, and effective information forms emergency information, so that comprehensive monitoring and early warning of monitoring data of natural environment and construction site are realized, and great practicability is achieved; the real-time automatic monitoring technology directly reflects the actual deformation and stable state of the monitored object and the influence degree of field construction on the surrounding environment conditions, so that the construction characteristics of the region are analyzed, and valuable experience is accumulated for similar projects in the region.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. A monitoring and early warning method for construction engineering environmental disaster accidents is characterized by comprising the following steps:
acquiring real-time characteristic data of the environment along the engineering line and the construction site built in the period;
transmitting the acquired characteristic data to a detection platform through a built communication network;
the detection platform builds a data analysis early warning model, and takes the collected real-time characteristic data as input data to obtain a data analysis result;
presenting the analysis result.
2. The construction project environment disaster accident monitoring and early warning method as claimed in claim 1, wherein the real-time characteristic data of the construction project environment along the line and the construction site in the period are acquired, and the data comprise a displacement monitor, an inclinometer, a joint meter, a pressure sensor, a rain gauge, a water level gauge, a temperature and humidity sensor and an oxygen monitor.
3. The construction engineering environment disaster accident monitoring and early warning method as claimed in claim 1, wherein the communication network comprises a Beidou communication network and a GSM communication network.
4. The monitoring and early warning method for the construction engineering environment disaster accident according to claim 1, wherein the building of the data analysis and early warning model comprises the following steps:
acquiring historical GIS data, BIM data, meteorological data and geological environment data in advance;
calibrating historical data of the feature selection strategy;
calibrating potential disaster prediction multi-granularity data;
and calibrating the rapid identification and intelligent evaluation data of the disaster dangerous area.
5. The construction engineering environment disaster accident monitoring and early warning method as claimed in claim 1, wherein the analysis result is presented and comprises a terminal display screen and a portal website.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010789865.6A CN111932832A (en) | 2020-08-07 | 2020-08-07 | Construction engineering environment disaster accident monitoring and early warning method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010789865.6A CN111932832A (en) | 2020-08-07 | 2020-08-07 | Construction engineering environment disaster accident monitoring and early warning method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111932832A true CN111932832A (en) | 2020-11-13 |
Family
ID=73307218
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010789865.6A Pending CN111932832A (en) | 2020-08-07 | 2020-08-07 | Construction engineering environment disaster accident monitoring and early warning method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111932832A (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112489387A (en) * | 2020-12-04 | 2021-03-12 | 广东电网有限责任公司江门供电局 | Power distribution construction site safety early warning method based on weather monitoring |
CN112738754A (en) * | 2020-12-30 | 2021-04-30 | 长江水利委员会长江科学院 | Mountain torrent disaster early warning monitoring system based on edge calculation |
CN112947645A (en) * | 2021-03-01 | 2021-06-11 | 南京可宇科技有限公司 | Underground engineering construction safety real-time online monitoring cloud platform based on big data analysis and online monitoring method |
CN113159475A (en) * | 2020-12-04 | 2021-07-23 | 中国国家铁路集团有限公司 | Infrastructure full life cycle monitoring platform and method |
CN114006920A (en) * | 2021-10-11 | 2022-02-01 | 重庆电子工程职业学院 | Geological disaster emergency command system based on alliance chain |
CN114783145A (en) * | 2022-06-23 | 2022-07-22 | 四川易链科技有限公司 | Block chain-based dangerous condition early warning device and method |
CN114997703A (en) * | 2022-06-23 | 2022-09-02 | 广州高新工程顾问有限公司 | BIM and wireless communication technology-based construction site safety risk management and control method |
CN115292967A (en) * | 2022-09-29 | 2022-11-04 | 中大智能科技股份有限公司 | Steel structure engineering detection and analysis method and system |
CN115659673A (en) * | 2022-11-02 | 2023-01-31 | 安徽源信技术有限公司 | Bridge construction process safety monitoring system based on unmanned aerial vehicle image |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160056584A (en) * | 2014-11-12 | 2016-05-20 | 주식회사 서울텍 | Integration control system using overlay multicasting and unicasting |
CN105652315A (en) * | 2016-01-19 | 2016-06-08 | 山东大学 | Multichannel sound emission monitoring system and positioning method in underground engineering construction process |
CN108961688A (en) * | 2018-07-13 | 2018-12-07 | 福建特力惠信息科技股份有限公司 | A kind of big data support under Geological Hazards Monitoring and method for early warning |
CN109493569A (en) * | 2018-12-14 | 2019-03-19 | 深圳高速工程检测有限公司 | Come down method for early warning, device, computer equipment and storage medium |
CN110009872A (en) * | 2019-05-09 | 2019-07-12 | 东北大学 | A kind of rock slope engineering project disaster real-time system for monitoring and pre-warning and method |
CN110333336A (en) * | 2019-07-05 | 2019-10-15 | 东北大学 | Soil slope failure early warning system and method are monitored under a kind of condition of raining |
CN110689705A (en) * | 2019-11-19 | 2020-01-14 | 山西省煤炭地质115勘查院 | Comprehensive application system for mine geological environment management |
CN110991720A (en) * | 2019-11-25 | 2020-04-10 | 中国长江三峡集团有限公司 | Geological disaster monitoring, early warning, preventing and treating system |
CN111031107A (en) * | 2019-11-29 | 2020-04-17 | 武汉智菱物联科技有限公司 | Geological disaster monitoring system and method based on low-power-consumption communication network |
-
2020
- 2020-08-07 CN CN202010789865.6A patent/CN111932832A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20160056584A (en) * | 2014-11-12 | 2016-05-20 | 주식회사 서울텍 | Integration control system using overlay multicasting and unicasting |
CN105652315A (en) * | 2016-01-19 | 2016-06-08 | 山东大学 | Multichannel sound emission monitoring system and positioning method in underground engineering construction process |
CN108961688A (en) * | 2018-07-13 | 2018-12-07 | 福建特力惠信息科技股份有限公司 | A kind of big data support under Geological Hazards Monitoring and method for early warning |
CN109493569A (en) * | 2018-12-14 | 2019-03-19 | 深圳高速工程检测有限公司 | Come down method for early warning, device, computer equipment and storage medium |
CN110009872A (en) * | 2019-05-09 | 2019-07-12 | 东北大学 | A kind of rock slope engineering project disaster real-time system for monitoring and pre-warning and method |
CN110333336A (en) * | 2019-07-05 | 2019-10-15 | 东北大学 | Soil slope failure early warning system and method are monitored under a kind of condition of raining |
CN110689705A (en) * | 2019-11-19 | 2020-01-14 | 山西省煤炭地质115勘查院 | Comprehensive application system for mine geological environment management |
CN110991720A (en) * | 2019-11-25 | 2020-04-10 | 中国长江三峡集团有限公司 | Geological disaster monitoring, early warning, preventing and treating system |
CN111031107A (en) * | 2019-11-29 | 2020-04-17 | 武汉智菱物联科技有限公司 | Geological disaster monitoring system and method based on low-power-consumption communication network |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112489387A (en) * | 2020-12-04 | 2021-03-12 | 广东电网有限责任公司江门供电局 | Power distribution construction site safety early warning method based on weather monitoring |
CN113159475A (en) * | 2020-12-04 | 2021-07-23 | 中国国家铁路集团有限公司 | Infrastructure full life cycle monitoring platform and method |
CN113159475B (en) * | 2020-12-04 | 2024-03-15 | 中国国家铁路集团有限公司 | Infrastructure full life cycle monitoring platform and method |
CN112738754A (en) * | 2020-12-30 | 2021-04-30 | 长江水利委员会长江科学院 | Mountain torrent disaster early warning monitoring system based on edge calculation |
CN112738754B (en) * | 2020-12-30 | 2022-06-21 | 长江水利委员会长江科学院 | Mountain torrent disaster early warning monitoring system based on edge calculation |
CN112947645A (en) * | 2021-03-01 | 2021-06-11 | 南京可宇科技有限公司 | Underground engineering construction safety real-time online monitoring cloud platform based on big data analysis and online monitoring method |
CN114006920A (en) * | 2021-10-11 | 2022-02-01 | 重庆电子工程职业学院 | Geological disaster emergency command system based on alliance chain |
CN114006920B (en) * | 2021-10-11 | 2023-05-23 | 重庆电子工程职业学院 | Geological disaster emergency command system based on alliance chain |
CN114783145A (en) * | 2022-06-23 | 2022-07-22 | 四川易链科技有限公司 | Block chain-based dangerous condition early warning device and method |
CN114997703A (en) * | 2022-06-23 | 2022-09-02 | 广州高新工程顾问有限公司 | BIM and wireless communication technology-based construction site safety risk management and control method |
CN115292967A (en) * | 2022-09-29 | 2022-11-04 | 中大智能科技股份有限公司 | Steel structure engineering detection and analysis method and system |
CN115659673A (en) * | 2022-11-02 | 2023-01-31 | 安徽源信技术有限公司 | Bridge construction process safety monitoring system based on unmanned aerial vehicle image |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111932832A (en) | Construction engineering environment disaster accident monitoring and early warning method | |
CN102435165B (en) | CNSS (COMPASS navigation satellite system)-based long-term ground facility deformation monitoring method | |
CN104778517A (en) | Microclimate disaster early warning method and system based on microclimate and satellite remote sensing data | |
CN110927821A (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
CN111462459A (en) | WebGIS-based mine goaf monitoring and early warning system and method | |
CN110751811A (en) | Geological disaster monitoring and early warning system based on Beidou high-precision satellite positioning | |
CN103234519A (en) | Land subsidence monitoring and early warning system based on global position system (GPS) and hydrostatic leveling | |
CN105425752A (en) | Real-time monitoring system of pipe network and working method of same | |
CN215006896U (en) | Satellite-ground cooperative slope multi-risk factor combined real-time monitoring and early warning system | |
Wang et al. | Development and application of a goaf-safety monitoring system using multi-sensor information fusion | |
CN112488477A (en) | Highway emergency management system and method | |
CN113159475A (en) | Infrastructure full life cycle monitoring platform and method | |
CN115578836A (en) | Geological landslide early warning system based on multivariate data analysis | |
WO2017016862A1 (en) | System and method for detecting ground position changes | |
CN113421404A (en) | Satellite-ground cooperative slope multi-risk factor combined real-time monitoring and early warning method | |
CN211123324U (en) | BIM + GIS-based advanced geological forecast information system for tunnel construction | |
CN113011747A (en) | Building monitoring method and device, electronic equipment and storage medium | |
CN115457739B (en) | Geological disaster early warning method and device, electronic equipment and storage medium | |
CN116233191A (en) | Intelligent foundation pit monitoring system | |
CN114374716A (en) | Geological disaster remote monitoring system and monitoring method thereof | |
CN113053065B (en) | Expressway integrated monitoring and early warning platform system based on 5G and Beidou navigation system and use method thereof | |
CN116106987A (en) | Meteorological prediction method, electronic device, and readable storage medium | |
CN114723281A (en) | Foundation pit comprehensive online monitoring cloud platform system based on Internet of things big data | |
Hu | Online Near Real-time Mine Disaster Monitoring System Based on Wireless Sensor Networks. | |
CN111243221A (en) | Natural disaster monitoring and early warning method based on monitoring |
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 | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20201113 |
|
RJ01 | Rejection of invention patent application after publication |