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CN116105802A - Underground facility safety monitoring and early warning method based on Internet of things - Google Patents

Underground facility safety monitoring and early warning method based on Internet of things Download PDF

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Publication number
CN116105802A
CN116105802A CN202310382003.5A CN202310382003A CN116105802A CN 116105802 A CN116105802 A CN 116105802A CN 202310382003 A CN202310382003 A CN 202310382003A CN 116105802 A CN116105802 A CN 116105802A
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monitoring
equipment
environmental
underground
environment
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CN116105802B (en
Inventor
谢永强
刘甲红
华小红
王程
谭嘉辉
马志宏
焦永水
卜青营
范琳琳
李忠兴
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Guangdong Pulan Geographic Information Service Co ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING 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
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract

The invention relates to the technical field of monitoring, and discloses an underground facility safety monitoring and early warning method based on the Internet of things, which comprises the following steps: step S10, acquiring real-time environment data in an underground infrastructure space; step S20, acquiring equipment key parameters of environment adjusting equipment in the underground infrastructure space; step S30, detecting and judging according to the real-time environment data and the key parameters of the equipment to obtain a real-time judging result; step S40, early warning is carried out according to the judging result; by monitoring the real-time environment data of each position point of the underground infrastructure space, comprehensive analysis and judgment are carried out by comprehensively considering the key parameters of equipment responsible for the environment regulating equipment in the corresponding underground infrastructure space, so that the environmental change in the underground infrastructure space can be more comprehensively pre-warned, the accuracy of detecting the potential safety hazards of the underground infrastructure is improved, and meanwhile, the operation health of related equipment can be monitored and judged, so that the function is comprehensive.

Description

Underground facility safety monitoring and early warning method based on Internet of things
Technical Field
The invention relates to the technical field of monitoring, in particular to an underground facility safety monitoring and early warning method based on the Internet of things.
Background
The underground infrastructure comprises underground civil air defense engineering, a power substation built underground, a water pump room, an underground garage, an underground passage and the like, and compared with the ground building, the underground infrastructure has more potential safety hazards and has more complex treatment process, so that the state of the underground infrastructure needs to be monitored.
However, only a few professionals perform operations in the daily operation of the underground municipal facilities, so that the monitoring system inside the underground municipal facilities can accurately and timely and safely identify the underground environment when accidents occur and when the underground municipal facilities are inspected daily.
The existing early warning method for potential safety hazards of underground municipal facilities mainly comprises the steps of inspection, lack of an intelligent underground municipal facility management platform, difficulty in effectively collecting relevant information, difficulty in finding problems existing in underground municipal facilities in time, and insufficient direct and convenient information reporting ways in the process of finding problems.
Disclosure of Invention
The invention aims to provide an underground facility safety monitoring and early warning method based on the Internet of things, which solves the following technical problems:
how to provide a method for comprehensively and accurately carrying out safety monitoring and early warning on underground infrastructure.
The aim of the invention can be achieved by the following technical scheme:
an underground facility safety monitoring and early warning method based on the Internet of things comprises the following steps:
step S10, acquiring real-time environment data in an underground infrastructure space;
step S20, acquiring equipment key parameters of environment adjusting equipment in the underground infrastructure space;
step S30, detecting and judging according to the real-time environment data and the key parameters of the equipment to obtain a real-time judging result;
and S40, early warning is carried out according to the judging result.
According to the technical scheme, the real-time environment data of each position point of the underground infrastructure space is monitored, the equipment key parameters of the environment adjusting equipment in the corresponding underground infrastructure space are comprehensively considered for comprehensive analysis and judgment, so that the environmental change in the underground infrastructure space can be comprehensively early warned, the accuracy of detecting the potential safety hazards of the underground infrastructure is improved, meanwhile, the operation health of related equipment can be monitored and judged, and the function is comprehensive.
As a further scheme of the invention: before the step S1, the method further includes:
step S01, dividing a monitoring area according to the responsible area of the environment adjusting device;
step S02, M groups of environment monitoring sensors are distributed in each monitoring area, and each group of environment monitoring sensors is responsible for N environmental data parameters;
step S03, setting B groups of monitors for monitoring environment-regulating equipment in the underground infrastructure space, wherein each group of monitors is in charge of H equipment key parameters corresponding to the environment-regulating equipment;
wherein ,
Figure SMS_1
。
as a further scheme of the invention: the step S30 includes:
step S301, recording and storing each environmental data parameter obtained by M groups of the environmental monitoring sensors
Figure SMS_2
And B group of said monitors, each device key parameter obtained by said monitor>
Figure SMS_3
；
Step S302, according to each of the environmental data parameters
Figure SMS_4
And each of said device key parameters +.>
Figure SMS_5
Calculating corresponding environmental degradation degree->
Figure SMS_6
And device abnormality->
Figure SMS_7
；
Step S303, according to the environmental degradation degree
Figure SMS_8
And said device abnormality +>
Figure SMS_9
Acquiring facility risk assessment value->
Figure SMS_10
；
The degree of environmental deterioration
Figure SMS_11
The calculation formula of (2) is as follows:
Figure SMS_12
；
degree of abnormality of the apparatus
Figure SMS_13
The calculation formula of (2) is as follows:
Figure SMS_14
；
wherein ,
Figure SMS_15
，
Figure SMS_16
，
Figure SMS_17
the normal threshold interval corresponding to the ith environmental data parameter item;
Figure SMS_18
For the fixed coefficient of the ith environmental data parameter item,/->
Figure SMS_19
；
Figure SMS_20
Corresponding i items of device key parameter representing corresponding environment regulating device +.>
Figure SMS_21
Normal value of->
Figure SMS_22
and
Figure SMS_23
And respectively corresponding to the upper limit and the lower limit of the key parameters of the equipment when the environment-adjusting equipment is required to be shut down.
As a further scheme of the invention: the step S303 includes:
step S3031, obtaining an average degradation degree of the environmental item corresponding to the environmental data parameter of the ith item
Figure SMS_24
；
Step S3032, obtaining the key parameters of the device of item iAverage degree of abnormality of equipment items corresponding to numbers
Figure SMS_25
；
Step S3033, calculating the facility risk assessment value according to a preset calculation rule
Figure SMS_26
；
Average degree of deterioration of the environmental item
Figure SMS_27
The calculation formula of (2) is as follows:
Figure SMS_28
；
average anomaly degree of the equipment items
Figure SMS_29
The calculation formula of (2) is as follows:
Figure SMS_30
；
the preset calculation rule comprises the following steps:
Figure SMS_31
；
wherein ,
Figure SMS_32
the dimensionality reduction coefficient corresponding to the ith environmental parameter monitoring item,/for the monitoring item>
Figure SMS_33
And (5) the dimensionality removing coefficient corresponding to the key parameter item of the ith equipment.
As a further scheme of the invention: the step S30 further includes:
step S304, according to the obtained facility risk evaluation value
Figure SMS_34
Early warning judgment is carried out;
the early warning judgment comprises the following steps:
evaluating the facility risk
Figure SMS_35
Comparing with a preset threshold value:
if it is
Figure SMS_36
＞
Figure SMS_37
And judging that the safety risk exists in the underground infrastructure space.
As a further scheme of the invention: the step S30 further includes:
step S305, if it is determined that there is a security risk, determining a risk location point according to the sensing parameters of each group of the environmental monitoring sensors and the monitors and the corresponding spatial locations.
As a further scheme of the invention: the method for acquiring the risk location point comprises the following steps:
step S3051, for the monitoring area, obtaining environmental degradation degrees corresponding to the environmental monitoring sensor and the monitor
Figure SMS_38
And device abnormality->
Figure SMS_39
；
Step S3052, dividing the monitoring area into environmental degradation degrees
Figure SMS_40
And device abnormality->
Figure SMS_41
Respectively performing descending arrangement to obtain +.>
Figure SMS_42
and
Figure SMS_43
C isDescending order arrangement order;
step S3053, judging
Figure SMS_44
And->
Figure SMS_45
If the association is corresponding, the step S3054 is entered if the association is corresponding, otherwise the step S3055 is entered;
step S3054, judging
Figure SMS_46
And->
Figure SMS_47
Whether the corresponding monitoring areas are adjacent or not, if so, then +.>
Figure SMS_48
The corresponding monitoring area is defined as the risk position point, otherwise, the step S3055 is carried out;
step S3055, will
Figure SMS_49
and
Figure SMS_50
And respectively comparing the detected areas with the historical normal environment degradation degree and the historical normal equipment anomaly degree of the corresponding detected areas, and determining the detected area corresponding to the item with the larger comparison difference as the risk position point.
As a further scheme of the invention: further comprises:
and step S50, the early warning result is sent to the manager terminal.
The invention has the beneficial effects that: according to the invention, through monitoring the real-time environment data of each position point of the underground infrastructure space, comprehensive analysis and judgment are performed by comprehensively considering the equipment key parameters of the environment adjusting equipment in the corresponding underground infrastructure space, so that the environmental change in the underground infrastructure space can be more comprehensively pre-warned, the accuracy of detecting the potential safety hazards of the underground infrastructure is improved, and meanwhile, the operation health of related equipment can be monitored and judged, so that the function is comprehensive.
Drawings
The invention is further described below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of a basic flow of the method for monitoring and early warning of underground facilities safety.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention discloses an underground facility safety monitoring and early warning method based on the internet of things, which comprises the following steps:
step S10, acquiring real-time environment data in an underground infrastructure space;
step S20, acquiring equipment key parameters of environment adjusting equipment in the underground infrastructure space;
step S30, detecting and judging according to the real-time environment data and the key parameters of the equipment to obtain a real-time judging result;
and S40, early warning is carried out according to the judging result.
Through the technical scheme, the real-time environment data of each position point of the underground infrastructure space is monitored, the equipment key parameters of the environment adjusting equipment in the corresponding underground infrastructure space are comprehensively considered for comprehensive analysis and judgment, and then the environmental change in the underground infrastructure space can be comprehensively early-warned, the accuracy of detecting the potential safety hazards of the underground infrastructure is improved, meanwhile, the operation health of related equipment can be monitored and judged, and the function is comprehensive.
As a further scheme of the invention: before the step S1, the method further includes:
step S01, dividing a monitoring area according to the responsible area of the environment adjusting device;
step S02, M groups of environment monitoring sensors are distributed in each monitoring area, and each group of environment monitoring sensors is responsible for N environmental data parameters;
step S03, setting B groups of monitors for monitoring environment-regulating equipment in the underground infrastructure space, wherein each group of monitors is in charge of H equipment key parameters corresponding to the environment-regulating equipment;
wherein ,
Figure SMS_51
。
according to the technical scheme, at least one group of environment monitoring sensors can be arranged in each monitoring area according to the division of the monitoring areas, and each group of environment monitoring sensors can comprise sensors for monitoring environment data parameters of projects such as smoke, temperature, air pressure, pollutants and the like; in addition, at least one group of monitors can be arranged at each environment-adjusting device according to the specific condition of the environment-adjusting device, and each group of monitors can comprise a sensor for monitoring key parameters of the device such as vibration, local temperature and the like of the device.
As a further scheme of the invention: the step S30 includes:
step S301, recording and storing each environmental data parameter obtained by M groups of the environmental monitoring sensors
Figure SMS_52
And B group of said monitors, each device key parameter obtained by said monitor>
Figure SMS_53
；
Step S302, according to each of the environmental data parameters
Figure SMS_54
And each of said device key parameters +.>
Figure SMS_55
Calculating corresponding environmental degradation degree->
Figure SMS_56
And device abnormality->
Figure SMS_57
；
Step S303, according to the environmental degradation degree
Figure SMS_58
And said device abnormality +>
Figure SMS_59
Acquiring facility risk assessment value->
Figure SMS_60
；
The degree of environmental deterioration
Figure SMS_61
The calculation formula of (2) is as follows: />
Figure SMS_62
；
Degree of abnormality of the apparatus
Figure SMS_63
The calculation formula of (2) is as follows:
Figure SMS_64
；
wherein ,
Figure SMS_65
，
Figure SMS_66
，
Figure SMS_67
the normal threshold interval corresponding to the ith environmental data parameter item;
Figure SMS_68
For the fixed coefficient of the ith environmental data parameter item,/->
Figure SMS_69
；
Figure SMS_70
Corresponding i items of device key parameter representing corresponding environment regulating device +.>
Figure SMS_71
Normal value of->
Figure SMS_72
and
Figure SMS_73
And respectively corresponding to the upper limit and the lower limit of the key parameters of the equipment when the environment-adjusting equipment is required to be shut down. It can be seen that in the present embodiment of the present invention, the degree of environmental deterioration +.>
Figure SMS_74
The higher the description environment condition is, the worse the device abnormality +>
Figure SMS_75
The higher the probability of a device failure is, the greater.
Wherein the value of k is related to the category of the key parameter item of the corresponding equipment, for example, at least two abnormal models exist at present when the equipment is abnormal, one is an acceleration type abnormal model,
Figure SMS_76
one is a deceleration type anomaly model, +.>
Figure SMS_77
。
As a further scheme of the invention: the step S303 includes:
step S3031, obtaining an average degradation degree of the environmental item corresponding to the environmental data parameter of the ith item
Figure SMS_78
；
Step S3032, obtaining the average anomaly degree of the equipment items corresponding to the key parameters of the equipment in the ith item
Figure SMS_79
；
Step S3033, calculating the facility risk assessment value according to a preset calculation rule
Figure SMS_80
；
Average degree of deterioration of the environmental item
Figure SMS_81
The calculation formula of (2) is as follows:
Figure SMS_82
；
average anomaly degree of the equipment items
Figure SMS_83
The calculation formula of (2) is as follows:
Figure SMS_84
；
the preset calculation rule comprises the following steps:
Figure SMS_85
；
wherein ,
Figure SMS_86
the dimensionality reduction coefficient corresponding to the ith environmental parameter monitoring item,/for the monitoring item>
Figure SMS_87
The dimensionality reduction coefficient corresponding to the key parameter item of the ith equipment can be obtained by +.>
Figure SMS_88
Reflecting the overall environment and equipment operation conditions in the facility.
As a further scheme of the invention: the step S30 further includes:
step S304, according to the obtained facility risk evaluation value
Figure SMS_89
Early warning judgment is carried out; />
The early warning judgment comprises the following steps:
evaluating the facility risk
Figure SMS_90
Comparing with a preset threshold value:
if it is
Figure SMS_91
＞
Figure SMS_92
And judging that the safety risk exists in the underground infrastructure space.
wherein ,
Figure SMS_93
the risk threshold is preset in advance.
As a further scheme of the invention: the step S30 further includes:
step S305, if it is determined that there is a security risk, determining a risk location point according to the sensing parameters of each group of the environmental monitoring sensors and the monitors and the corresponding spatial locations.
As a further scheme of the invention: the method for acquiring the risk location point comprises the following steps:
step S3051, for the monitoring area, obtaining environmental degradation degrees corresponding to the environmental monitoring sensor and the monitor
Figure SMS_94
And device abnormality->
Figure SMS_95
；
Step S3052, dividing the monitoring area into environmental degradation degrees
Figure SMS_96
And device abnormality->
Figure SMS_97
Respectively performing descending arrangement to obtain +.>
Figure SMS_98
and
Figure SMS_99
C is descending order;
step S3053, judging
Figure SMS_100
And->
Figure SMS_101
If the association is corresponding, the step S3054 is entered if the association is corresponding, otherwise the step S3055 is entered;
step S3054, judging
Figure SMS_102
And->
Figure SMS_103
Whether the corresponding monitoring areas are adjacent or not, if so, then +.>
Figure SMS_104
The corresponding monitoring area is defined as the risk position point, otherwise, the step S3055 is carried out;
step S3055, will
Figure SMS_105
and
Figure SMS_106
And respectively comparing the detected areas with the historical normal environment degradation degree and the historical normal equipment anomaly degree of the corresponding detected areas, and determining the detected area corresponding to the item with the larger comparison difference as the risk position point.
By the technical scheme, the risk judgment can be improved by judging whether the monitoring area with the largest environmental degradation degree is the area corresponding to the largest equipment abnormality degreeAccuracy of breaking, judgment
Figure SMS_107
And->
Figure SMS_108
Whether the corresponding monitoring areas are adjacent or not can be evaluated on the concentration degree of the environmental degradation degree judgment, because the general environmental detection items have problems, the problems can spread nearby, and the more concentrated the position points with larger deviation amount are, the greater the safety risk is, and the more accurate the monitoring result is.
As a further scheme of the invention: further comprises:
and step S50, the early warning result is sent to the manager terminal.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (6)

1. The underground facility safety monitoring and early warning method based on the Internet of things is characterized by comprising the following steps of:
step S10, acquiring real-time environment data in an underground infrastructure space;
step S20, acquiring equipment key parameters of environment adjusting equipment in the underground infrastructure space;
step S30, detecting and judging according to the real-time environment data and the key parameters of the equipment to obtain a real-time judging result;
step S40, early warning is carried out according to the judging result;
before the step S1, the method further includes:
step S01, dividing a monitoring area according to the responsible area of the environment adjusting device;
step S02, M groups of environment monitoring sensors are distributed in each monitoring area, and each group of environment monitoring sensors is responsible for N environmental data parameters;
step S03, setting B groups of monitors for monitoring environment-regulating equipment in the underground infrastructure space, wherein each group of monitors is in charge of H equipment key parameters corresponding to the environment-regulating equipment;
wherein ,
Figure QLYQS_1
；
the step S30 includes:
step S301, recording and storing each environmental data parameter obtained by M groups of the environmental monitoring sensors
Figure QLYQS_2
And B group of said monitors, each device key parameter obtained by said monitor>
Figure QLYQS_3
；
Step S302, according to each of the environmental data parameters
Figure QLYQS_4
And each of said device key parameters +.>
Figure QLYQS_5
Calculating corresponding environmental degradation degree->
Figure QLYQS_6
And device abnormality->
Figure QLYQS_7
；
Step S303, according to the environmental degradation degree
Figure QLYQS_8
And said device abnormality +>
Figure QLYQS_9
Acquiring facility risk assessment value->
Figure QLYQS_10
；
The degree of environmental deterioration
Figure QLYQS_11
The calculation formula of (2) is as follows:
Figure QLYQS_12
；
degree of abnormality of the apparatus
Figure QLYQS_13
The calculation formula of (2) is as follows:
Figure QLYQS_14
；
wherein ,
Figure QLYQS_15
，
Figure QLYQS_16
，
Figure QLYQS_17
the normal threshold interval corresponding to the ith environmental data parameter item;
Figure QLYQS_18
For the fixed coefficient of the ith environmental data parameter item,/->
Figure QLYQS_19
；
Figure QLYQS_20
Corresponding i items of device key parameter representing corresponding environment regulating device +.>
Figure QLYQS_21
Normal value of->
Figure QLYQS_22
and
Figure QLYQS_23
And respectively corresponding to an upper limit and a lower limit of the equipment key parameters when the environment-adjusting equipment is required to be shut down, wherein k is a preset power value related to the corresponding equipment key parameters.
2. The method for monitoring and pre-warning safety of underground facilities based on the internet of things according to claim 1, wherein the step S303 comprises:
step S3031, obtaining an average degradation degree of the environmental item corresponding to the environmental data parameter of the ith item
Figure QLYQS_24
；
Step S3032, obtaining the average anomaly degree of the equipment items corresponding to the key parameters of the equipment in the ith item
Figure QLYQS_25
；
Step S3033, calculating the facility risk assessment value according to a preset calculation rule
Figure QLYQS_26
；
Average degree of deterioration of the environmental item
Figure QLYQS_27
The calculation formula of (2) is as follows:
Figure QLYQS_28
；
average anomaly degree of the equipment items
Figure QLYQS_29
The calculation formula of (2) is as follows:
Figure QLYQS_30
；
the preset calculation rule comprises the following steps:
Figure QLYQS_31
；
wherein ,
Figure QLYQS_32
the dimensionality reduction coefficient corresponding to the ith environmental parameter monitoring item,/for the monitoring item>
Figure QLYQS_33
And (5) the dimensionality removing coefficient corresponding to the key parameter item of the ith equipment.
3. The method for monitoring and pre-warning safety of underground facilities based on the internet of things according to claim 1, wherein the step S30 further comprises:
step S304, according to the obtained facility risk evaluation value
Figure QLYQS_34
Early warning judgment is carried out;
the early warning judgment comprises the following steps:
evaluating the facility risk
Figure QLYQS_35
Comparing with a preset threshold value:
if it is
Figure QLYQS_36
＞
Figure QLYQS_37
Judging that the safety risk exists in the underground infrastructure space;
wherein ,
Figure QLYQS_38
the risk threshold is preset in advance.
4. The method for monitoring and pre-warning safety of an underground facility based on the internet of things according to claim 3, wherein the step S30 further comprises:
step S305, if it is determined that there is a security risk, determining a risk location point according to the sensing parameters of each group of the environmental monitoring sensors and the monitors and the corresponding spatial locations.
5. The method for monitoring and early warning of underground facility safety based on the internet of things according to claim 4, wherein the method for acquiring the risk location point comprises the following steps:
step S3051, for the monitoring area, obtaining environmental degradation degrees corresponding to the environmental monitoring sensor and the monitor
Figure QLYQS_39
And device abnormality->
Figure QLYQS_40
；
Step S3052, dividing the monitoring area into environmental degradation degrees
Figure QLYQS_41
And device abnormality->
Figure QLYQS_42
Respectively performing descending arrangement to obtain +.>
Figure QLYQS_43
and
Figure QLYQS_44
C is descending order;
step S3053, judging
Figure QLYQS_45
And->
Figure QLYQS_46
If the association is corresponding, the step S3054 is entered if the association is corresponding, otherwise the step S3055 is entered;
step S3054, judging
Figure QLYQS_47
And->
Figure QLYQS_48
Whether the corresponding monitoring areas are adjacent or not, if so, then +.>
Figure QLYQS_49
The corresponding monitoring area is defined as the risk position point, otherwise, the step S3055 is carried out;
step S3055, will
Figure QLYQS_50
and
Figure QLYQS_51
And respectively comparing the detected areas with the historical normal environment degradation degree and the historical normal equipment anomaly degree of the corresponding detected areas, and determining the detected area corresponding to the item with the larger comparison difference as the risk position point.
6. The internet of things-based underground facility safety monitoring and early warning method according to claim 1, further comprising:
and step S50, the early warning result is sent to the manager terminal.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116952654A (en) * 2023-07-11 2023-10-27 广州众拓计算机科技有限公司 Environment monitoring and early warning system for administrative supervision
CN117073753A (en) * 2023-08-09 2023-11-17 北京城建设计发展集团股份有限公司 Underground space environment monitoring system and method based on Internet of Things
CN117129041A (en) * 2023-10-25 2023-11-28 广东省农业科学院动物科学研究所 An abnormal monitoring system for agricultural product processing environment based on the Internet of Things

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Denomination of invention: A Safety Monitoring and Early Warning Method for Underground Facilities Based on the Internet of Things

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