CN112017419A - Building safety monitoring and early warning system and method based on multi-source data - Google Patents

Building safety monitoring and early warning system and method based on multi-source data Download PDF

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CN112017419A
CN112017419A CN202010959696.6A CN202010959696A CN112017419A CN 112017419 A CN112017419 A CN 112017419A CN 202010959696 A CN202010959696 A CN 202010959696A CN 112017419 A CN112017419 A CN 112017419A
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data
monitoring
building
early warning
control
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方军帅
何双江
江播伟
赵桂梅
金佳萍
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Fuzhou Branch Of Smart City Research Institute Of China Electronics Technology Group Corp
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Fuzhou Branch Of Smart City Research Institute Of China Electronics Technology Group Corp
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    • GPHYSICS
    • G08SIGNALLING
    • G08CTRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C17/00Arrangements for transmitting signals characterised by the use of a wireless electrical link
    • G08C17/02Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00Predictive alarm systems characterised by extrapolation or other computation using updated historic data

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  • Computer Networks & Wireless Communication (AREA)
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Abstract

The invention discloses a building safety monitoring and early warning system and a method thereof based on multi-source data, comprising a monitoring system, a data acquisition system and a data processing system, wherein the monitoring system is used for detecting the basic state of a building and sending the detected data to the data acquisition system; the data acquisition system is used for acquiring and storing building condition data; the 5G transmission system is used for carrying out wireless transmission of data between the 5G technology and the 5G base station; the big data analysis system is used for carrying out real-time multi-source data fusion analysis on the received data; the display and management system is used for graphically displaying the analyzed data and managing the functions of each system; the control system receives and transmits a control signal; and an alarm system. The invention solves the problems of insufficient building safety monitoring accuracy and alarm lag, not only can realize the real-time monitoring and alarm of building safety, but also can manually or automatically adjust the data acquisition frequency of a monitoring system according to the risk state of the building, save power consumption and improve the early warning accuracy.

Description

Building safety monitoring and early warning system and method based on multi-source data
Technical Field
The invention relates to a building safety monitoring and early warning system and method based on multi-source data, and belongs to the technical field of building safety monitoring and early warning.
Background
The safety of buildings directly influences the life and property safety of people, and social problems are more likely to be caused. In recent years, with the change of global climate, flood disasters frequently occur, and after a plurality of houses are soaked by water, the appearances of the houses are not damaged, but hidden dangers occur internally, so that the houses are threatened. Many historical relics and ancient sites also have risks of collapse and damage due to the long-term age.
In the existing building safety monitoring method, some methods preset an alarm threshold value for a sensor of a monitoring system, and alarm information is sent when monitoring data exceeds the threshold value; some central servers set a threshold value, and the central servers send an alarm when receiving sensor data sent by the monitoring system and exceeding the threshold value; these methods generally have the problem of delayed or insufficient accuracy of alarm, i.e. the danger can be detected only when the outbreak is imminent, or the alarm is mistaken under the non-dangerous condition, which brings trouble to the safety management of the building.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a building safety monitoring and early warning system and a building safety monitoring and early warning method based on multi-source data, which can solve the problems of insufficient building safety monitoring accuracy and delayed warning, not only can realize real-time monitoring and warning of building safety, but also can manually or automatically adjust the data acquisition frequency of a monitoring system according to the risk state of a building, save power consumption and improve early warning accuracy.
In order to achieve the purpose, the invention adopts the following technical scheme: a building safety monitoring and early warning system based on multi-source data comprises:
the monitoring system is used for detecting the basic state information of the building and sending the detected data to the data acquisition system;
the data acquisition system is used for acquiring and storing the building condition data detected by the monitoring system;
the 5G transmission system is used for carrying out wireless transmission of data between the 5G technology and the 5G base station;
the big data analysis system is used for carrying out real-time multi-source data fusion analysis on the received data;
the display and management system is used for graphically displaying the data analyzed by the big data analysis system and managing the functions of each system;
the control system receives and transmits a control signal;
the alarm system receives the control signal sent by the control system and gives an alarm;
the monitoring system is connected with a data acquisition system, the data acquisition system is connected with a 5G transmission system, and the 5G transmission system is connected with a 5G base station through an air wireless interface; the 5G base station is connected with a big data analysis system, the big data analysis system is connected with a display and management system, and the control system is connected with a monitoring system, a data acquisition system, an alarm system and a 5G transmission system.
In the building safety monitoring and early warning system based on multisource data, monitoring system is including installing in one or more in the satellite positioning appearance, the static spirit level, the inclinometer, the vibrations monitor, three-axis gyroscope, crack meter, warm and humid acidimeter, the rain gauge of monitoring the building roof or outer wall by monitoring, and each sensor of monitoring system detects in real time by the relevant state data of monitoring the building.
In the building safety monitoring and early warning system based on multi-source data, the data acquisition system is connected with each sensor of the monitoring system through a cable, and data generated by the sensors are acquired and stored.
In the building safety monitoring and early warning system based on multi-source data, the data acquisition system acquires the data of the monitoring system in real time or at regular time according to a control command sent by the control system.
In the building safety monitoring and early warning system based on multi-source data, the warning system carries out sound, light and electricity warning in three modes by receiving a control signal sent by the control system, namely, sending out warning sound and reminding voice, and a red warning lamp flickers for reminding, and an LED electronic screen displays risk information and risk countermeasures.
In the building safety monitoring and early warning system based on the multi-source data, the big data analysis system can clean and classify the multi-source data with different sources and different formats; a mathematical analysis model for carrying out fusion analysis on the cleaned data is arranged in the big data analysis system; the analysis result of the mathematical analysis model comprises the building safety level, safety influencing factors and risk development trend prediction of a specified time point or time period; and when the safety level in the analysis result reaches a set threshold value, the big data analysis system sends a control instruction to other systems according to a built-in disposal rule.
In the building safety monitoring and early warning system based on multi-source data, the display and management system has a graphical management interface and a graphical display capacity for data, and workers can manually configure the operation parameters and the operation state of each system; the whole system comprises a PC end, a large screen end and a mobile phone end interface, and a user can perform display data viewing and configuration operations on the three interfaces.
A building safety monitoring and early warning method based on multi-source data comprises the following steps:
step S1, collecting basic state information of the monitored building, and sending the detected data to a data collection system;
step S2, the data acquisition system acquires and stores the building condition data detected by the monitoring system, and transmits the acquired state data to the big data analysis system through a 5G transmission technology;
step S3, the big data analysis system carries out real-time multi-source data fusion analysis on the received data;
step S4, graphically displaying the analyzed data, simultaneously carrying out customized management setting on the functions of each system, and sending the set control information to a big data analysis system;
and step S5, the big data analysis system transmits the control information to the control system through a 5G transmission technology, and the control system receives and sends a control signal to the corresponding system.
In the building safety monitoring and early warning method based on multi-source data, the step S2 specifically includes:
s2-1, the data acquisition system sends the acquired state data to a 5G transmission system;
s2-2, 5G transmission system sends the state data to 5G base station by wireless mode;
and S2-3 and 5G, the base station transmits the received state data to the big data analysis system through the network.
In the building safety monitoring and early warning method based on multi-source data, the step S5 specifically includes:
step S5-1, the big data analysis system sends the received control information state to the 5G base station;
step S5-2, the 5G base station sends the control information to the 5G transmission system in a wireless mode;
step S5-3, 5G transmission system transmits the received control information to the control system;
and step S5-4, the control system sends an alarm instruction to the alarm system according to the control information, sends detection signal instructions to each sensor in the monitoring system, and sends real-time or timing data acquisition instructions to the data acquisition system.
Compared with the prior art, the invention adopts the monitoring system to monitor the condition of the building in real time, and the data acquisition system is used for acquiring and storing the data generated by the monitoring system; setting an alarm system to receive a control signal of the control system and alarm; the 5G transmission system utilizes the 5G technology to wirelessly transmit data with the 5G base station; carrying out real-time multi-source data fusion analysis on the received data by adopting a big data analysis system; and the display and management system is adopted to graphically display the data after the big data analysis and perform customized management on the functions of each system. By means of the sensors with rich types in the monitoring system, the invention can monitor various data of the crisis and the surrounding environment more comprehensively; by means of the 5G technology, monitoring data with large data volume can be transmitted to the big data analysis system in real time, so that the data acquired by the big data analysis system and generated alarm information are timely, comprehensive and accurate, and the life and property safety of residents is guaranteed to the maximum extent. Finally, the problems of insufficient building safety monitoring accuracy and lagging alarm are solved, not only can the real-time monitoring and alarm of building safety be realized, but also the data acquisition frequency of a monitoring system can be manually or automatically adjusted according to the risk state of the building, the power consumption is saved, and the early warning precision is improved.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a schematic view of a crack width variation curve according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an X-slope accumulated variation curve according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an embodiment of a cumulative variation curve of Y tilt;
FIG. 5 is a schematic diagram of a cumulative settling curve according to an embodiment of the present invention.
Detailed Description
The technical solutions in the implementation of the present invention will be made clear and fully described below with reference to the accompanying drawings, and the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the building safety monitoring and early warning system based on multi-source data provided by the invention comprises:
the monitoring system 1 is used for detecting basic state information of a building and sending detected data to the data acquisition system 2;
the data acquisition system 2 is used for acquiring and storing the building condition data detected by the monitoring system;
a 5G transmission system 5 for performing wireless transmission of data with a 5G base station 6 by using a 5G technology;
the big data analysis system 7 is used for carrying out real-time multi-source data fusion analysis on the received data;
the display and management system 8 is used for graphically displaying the data analyzed by the big data analysis system and managing the functions of each system;
a control system 4 for receiving and transmitting control signals;
the alarm system 3 receives the control signal sent by the control system and gives an alarm;
the monitoring system 1 is connected with a data acquisition system 2, the data acquisition system is connected with a 5G transmission system, and the 5G transmission system is connected with a 5G base station through an air wireless interface so as to realize data transceiving with a big data analysis system 7 by utilizing a 5G base station 6 to access a network; the 5G base station is connected with a big data analysis system, the big data analysis system is connected with a display and management system, and the control system is connected with a monitoring system, a data acquisition system, an alarm system and a 5G transmission system.
On one hand, the monitoring system 1 sends monitored data to the data acquisition system 2, and on the other hand, receives a control signal sent by the control system 4. The data acquisition system 2 sends the acquired monitoring data to the 5G transmission system 5 on one hand, and receives the control signal sent by the control system 4 on the other hand. The 5G transmission system transmits the data of the data acquisition system 2 to the big data analysis system 7 by using a 5G network on one hand, and receives a corresponding control instruction from the big data analysis system 7 and sends the control instruction to the control system 4 on the other hand. The 5G base station 6 is a part of a 5G network constructed by a network operator, provides 5G equipment with the capability of accessing and visiting the 5G network and can access and visit the Internet, and the 5G base station 6 transmits data from the 5G transmission system 5 to the big data analysis system 7 through the network and simultaneously transmits the data of the big data analysis system 7 to the 5G transmission system 5 through an air wireless interface. The control system 4 can not only receive the control signals and the alarm information transmitted by the display and management system 8 through the big data analysis system 7 and the 5G base station 6 through the 5G transmission system 5, but also send control instructions to the monitoring system 1, the data acquisition system 2, the alarm system 3 and the 5G transmission system 4 according to the received control instructions, so that each system can be operated manually or automatically according to the set instructions.
In the building safety monitoring and early warning system based on multisource data, monitoring system 1 is including installing in one or more in the satellite positioning appearance, the static spirit level, the inclinometer of being monitored building roof or outer wall, vibrations monitor, three-axis gyroscope, crack meter, warm and humid acidimeter, the rain gauge, and each sensor of monitoring system all is connected with data acquisition system 2 to the monitored building correlation state data who will detect in real time sends to data acquisition system 2. The satellite positioning instrument is used for receiving satellite positioning information and judging the horizontal displacement of a building; the static level gauge is used for monitoring the settlement condition of the building; the inclinometer is used for monitoring the inclination condition of the building; the vibration monitor is used for monitoring the vibration condition of the building and judging the vibration source; the three-axis gyroscope is used for monitoring real-time movement conditions of the building in all directions and assisting in judging risk levels; the crack meter is used for monitoring cracks existing on the building in a targeted manner and judging whether the cracks are expanded or not; the hygrothermograph is used for monitoring the temperature and humidity conditions of the position where the building is located; the rain gauge is used for monitoring the rainfall condition of the position of the building, and judging the risk brought by the weather by combining the material and the structure of the building.
In the building safety monitoring and early warning system based on multi-source data, the data acquisition system 2 is connected with each sensor of the monitoring system 1 through a cable, and data generated by each sensor is acquired and stored.
In the building safety monitoring and early warning system based on multi-source data, the data acquisition system 2 acquires the data of the monitoring system 1 in real time or at regular time according to a control instruction sent by the control system 4, and sends the acquired data to the 5G transmission system 5. Specifically, the data of the monitoring system 1 may be collected in real time according to the management setting of the data collection system 2 in the display and management system 8 and according to the set control instruction, or the data of the monitoring system 1 may be collected at a fixed frequency according to a fixed duration set by the control instruction.
In the building safety monitoring and early warning system based on multisource data, the warning system 3 carries out sound, light and electricity three-form warning by receiving a control signal sent by the control system 4, namely, sending out a warning sound and reminding voice, a red warning lamp flickers for reminding, and an LED electronic screen displays risk information and risk countermeasures.
In the building safety monitoring and early warning system based on the multi-source data, the big data analysis system 7 can clean and classify the multi-source data with different sources and different formats; a mathematical analysis model for carrying out fusion analysis on the cleaned data is arranged in the big data analysis system 7; the analysis result of the mathematical analysis model comprises the building safety level, safety influencing factors and risk development trend prediction of a specified time point or time period; when the security level in the analysis result reaches a set threshold, the big data analysis system 7 sends a control instruction to the rest of the systems according to the built-in disposal rule.
In the building safety monitoring and early warning system based on multi-source data, the display and management system 8 has a graphical management interface and a graphical display capacity for data, and workers can manually configure the operation parameters and the operation state of each system; the whole system comprises a PC end, a large screen end and a mobile phone end interface, and a user can perform display data viewing and configuration operations on the three interfaces.
A building safety monitoring and early warning method based on multi-source data comprises the following steps:
step S1, collecting basic state information of the monitored building, and sending the detected data to a data collection system; wherein, the sensor used for collecting the basic state information comprises one or more of a satellite positioning instrument, a static level gauge, an inclinometer, a vibration monitor, a three-axis gyroscope, a crack meter, a hygrothermograph and a rain gauge which are arranged on the roof or the outer wall of the monitored building;
step S2, the data acquisition system acquires and stores the building condition data detected by the monitoring system, and transmits the acquired state data to the big data analysis system through a 5G transmission technology;
step S3, the big data analysis system carries out real-time multi-source data fusion analysis on the received data;
step S4, graphically displaying the analyzed data, simultaneously carrying out customized management setting on the functions of each system, and sending the set control information to a big data analysis system;
and step S5, the big data analysis system transmits the control information to the control system through a 5G transmission technology, and the control system receives and sends a control signal to the corresponding system.
In the building safety monitoring and early warning method based on multi-source data, the step S2 specifically includes:
s2-1, the data acquisition system sends the acquired state data to a 5G transmission system;
s2-2, 5G transmission system sends the state data to 5G base station by wireless mode;
and S2-3 and 5G, the base station transmits the received state data to the big data analysis system through the network.
In the building safety monitoring and early warning method based on multi-source data, the step S5 specifically includes:
step S5-1, the big data analysis system sends the received control information state to the 5G base station;
step S5-2, the 5G base station sends the control information to the 5G transmission system in a wireless mode;
step S5-3, 5G transmission system transmits the received control information to the control system;
and step S5-4, the control system sends an alarm instruction to the alarm system according to the control information, sends detection signal instructions to each sensor in the monitoring system, and sends real-time or timing data acquisition instructions to the data acquisition system.
The working process is as follows:
various sensors monitor information of conditions such as horizontal displacement, settlement, inclination, vibration existing in the building, real-time movement in all directions, cracks, temperature and humidity, rainfall and the like in real time, and send various detected data to the data acquisition system 2; the data acquisition system 2 acquires and stores data generated by the monitoring system, and transmits the data to the big data analysis system 7 through the 5G transmission system 5 and the 5G base station 6; the big data analysis system 7 performs real-time multi-source data fusion analysis on the received data and sends the analyzed data to the display and management system 8; the display and management system 8 performs graphical processing on the data received from the big data analysis system 7, displays the data at the PC end, the big screen end and the mobile phone end, provides operation interfaces at the PC end, the big screen end and the mobile phone end, receives control information of a worker, and sends the control information to the big data analysis system 7. The control information is transmitted to the control system 4 through the 5G base station and the 5G transmission system, and finally the control system 4 sends corresponding control instructions and alarm information to each system. By means of the sensors with rich types in the monitoring system, various data of the crisis and the surrounding environment can be monitored more comprehensively; by means of the 5G technology, monitoring data with large data volume can be transmitted to the big data analysis system in real time, so that the data acquired by the big data analysis system and generated alarm information are timely, comprehensive and accurate, and the life and property safety of residents is guaranteed to the maximum extent.
Example (b):
in the monitoring of a rural residential house in Minqing county in Fujian province, 1 crack meter, 2 inclinometers and 1 static level gauge are respectively installed on the house and used for monitoring cracks, gradient and settlement degree of the house. The crack meter and the inclinometer acquire crack and inclination data every half hour, and the static water level meter acquires settlement data every 2 hours. In this case, data between 8, 25, 00:00 and 8, 27, 17:00 in 2020 are taken as an analysis example, and detailed data change curves are shown in fig. 2 to 5.
According to the traditional monitoring method, when the accumulated change of the crack meter reaches 4mm and the change rate reaches 2mm, an alarm is given, when the accumulated change of the inclinometer reaches 0.2 degrees and the change rate reaches 0.08 degrees, an alarm is given, and when the accumulated change of the static level meter reaches 4mm or the change rate reaches 2mm, an alarm is given. According to the figures 2 to 5, the data of the crack meter and the inclinometer do not reach the alarm threshold, but the displacement change rate recorded by the static level meter is about 16 points at 25 and 25 months and about 16 points at 26 and 26 months, and if the displacement change rate exceeds the alarm threshold twice, the system alarm should be triggered.
However, in the system, because a big data analysis model based on multi-source data is adopted, the model does not alarm based on single specific abnormal data, but judges the risk level by adopting a combined comparison mode of the multi-source data and the model characteristics, and alarms according to the risk level. In this example, after the model joint comparison, the risk level is always at a normal level below the low risk, so the system does not alarm.
In conclusion, the invention solves the problems of insufficient building safety monitoring accuracy and alarm lag through the cooperation of all the systems, not only can realize the real-time monitoring and alarm of building safety, but also can manually or automatically adjust the data acquisition frequency of the monitoring system according to the risk state of the building, save power consumption and improve the early warning accuracy.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should make the description as a whole, and the embodiments may be appropriately combined to form other embodiments understood by those skilled in the art.

Claims (10)

1. A building safety monitoring and early warning system based on multisource data, its characterized in that includes:
the monitoring system is used for detecting the basic state information of the building and sending the detected data to the data acquisition system;
the data acquisition system is used for acquiring and storing the building condition data detected by the monitoring system;
the 5G transmission system is used for carrying out wireless transmission of data between the 5G technology and the 5G base station;
the big data analysis system is used for carrying out real-time multi-source data fusion analysis on the received data;
the display and management system is used for graphically displaying the data analyzed by the big data analysis system and managing the functions of each system;
the control system receives and transmits a control signal;
the alarm system receives the control signal sent by the control system and gives an alarm;
the monitoring system is connected with a data acquisition system, the data acquisition system is connected with a 5G transmission system, and the 5G transmission system is connected with a 5G base station through an air wireless interface; the 5G base station is connected with a big data analysis system, the big data analysis system is connected with a display and management system, and the control system is connected with a monitoring system, a data acquisition system, an alarm system and a 5G transmission system.
2. The building safety monitoring and early warning system based on multi-source data according to claim 1, wherein the monitoring system comprises one or more of a satellite positioner, a static level gauge, an inclinometer, a vibration monitor, a three-axis gyroscope, a crack detector, a hygrothermograph and a rain gauge which are arranged on the roof or the outer wall of the monitored building, and each sensor of the monitoring system detects the relevant state data of the monitored building in real time.
3. The multi-source data-based building safety monitoring and early warning system of claim 2, wherein the data acquisition system is connected with each sensor of the monitoring system through a cable, and acquires and stores data generated by the sensors.
4. The multi-source data-based building safety monitoring and early warning system according to claim 1, wherein the data acquisition system acquires data of the monitoring system in real time or at regular time according to a control command sent by the control system.
5. The building safety monitoring and early warning system based on multi-source data as claimed in claim 1, wherein the warning system performs sound, light and electricity warning by receiving the control signal sent by the control system, namely, sending out warning sound and reminding voice, flashing red warning light for reminding, and displaying risk information and risk countermeasures on the LED electronic screen.
6. The building safety monitoring and early warning system based on multi-source data as claimed in claim 1, wherein the big data analysis system can clean and classify multi-source data of different sources and different formats; a mathematical analysis model for carrying out fusion analysis on the cleaned data is arranged in the big data analysis system; the analysis result of the mathematical analysis model comprises the building safety level, safety influencing factors and risk development trend prediction of a specified time point or time period; and when the safety level in the analysis result reaches a set threshold value, the big data analysis system sends a control instruction to other systems according to a built-in disposal rule.
7. The multi-source data-based building safety monitoring and early warning system according to claim 1, wherein the display and management system has a graphical management interface and a graphical display capability for data, and staff can manually configure the operation parameters and the operation state of each system; the whole system comprises a PC end, a large screen end and a mobile phone end interface, and a user can perform display data viewing and configuration operations on the three interfaces.
8. A building safety monitoring and early warning method based on multi-source data is characterized by comprising the following steps:
step S1, collecting basic state information of the monitored building, and sending the detected data to a data collection system;
step S2, the data acquisition system acquires and stores the building condition data detected by the monitoring system, and transmits the acquired state data to the big data analysis system through a 5G transmission technology;
step S3, the big data analysis system carries out real-time multi-source data fusion analysis on the received data;
step S4, graphically displaying the analyzed data, simultaneously carrying out customized management setting on the functions of each system, and sending the set control information to a big data analysis system;
and step S5, the big data analysis system transmits the control information to the control system through a 5G transmission technology, and the control system receives and sends a control signal to the corresponding system.
9. The multi-source data-based building safety monitoring and early warning method according to claim 1, wherein the step S2 specifically comprises:
s2-1, the data acquisition system sends the acquired state data to a 5G transmission system;
s2-2, 5G transmission system sends the state data to 5G base station by wireless mode;
and S2-3 and 5G, the base station transmits the received state data to the big data analysis system through the network.
10. The multi-source data-based building safety monitoring and early warning method according to claim 1, wherein the step S5 specifically comprises:
step S5-1, the big data analysis system sends the received control information state to the 5G base station;
step S5-2, the 5G base station sends the control information to the 5G transmission system in a wireless mode;
step S5-3, 5G transmission system transmits the received control information to the control system;
and step S5-4, the control system sends an alarm instruction to the alarm system according to the control information, sends detection signal instructions to each sensor in the monitoring system, and sends real-time or timing data acquisition instructions to the data acquisition system.
CN202010959696.6A 2020-09-14 2020-09-14 Building safety monitoring and early warning system and method based on multi-source data Pending CN112017419A (en)

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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
CN113706822A (en) * 2021-08-26 2021-11-26 深圳随锐云网科技有限公司 Safety coefficient data model construction method and early warning device based on AI (Artificial Intelligence)
CN116365716A (en) * 2023-05-29 2023-06-30 西安感崆电子信息科技有限公司 Electricity inspection system based on internet of things platform

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Application publication date: 20201201