CN113129555A - Multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area - Google Patents
Multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area Download PDFInfo
- Publication number
- CN113129555A CN113129555A CN202010044492.XA CN202010044492A CN113129555A CN 113129555 A CN113129555 A CN 113129555A CN 202010044492 A CN202010044492 A CN 202010044492A CN 113129555 A CN113129555 A CN 113129555A
- Authority
- CN
- China
- Prior art keywords
- disaster
- disaster area
- area
- photoelectric switch
- monitoring
- 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
- 238000007500 overflow downdraw method Methods 0.000 title claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 40
- 230000003238 somatosensory effect Effects 0.000 claims abstract description 24
- 238000005259 measurement Methods 0.000 claims description 12
- 230000001815 facial effect Effects 0.000 claims description 3
- 230000001681 protective effect Effects 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000034 method Methods 0.000 description 1
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
- 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
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B29/00—Checking or monitoring of signalling or alarm systems; Prevention or correction of operating errors, e.g. preventing unauthorised operation
- G08B29/18—Prevention or correction of operating errors
- G08B29/185—Signal analysis techniques for reducing or preventing false alarms or for enhancing the reliability of the system
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25033—Pc structure of the system structure, control, syncronization, data, alarm, connect I-O line to interface
Abstract
The invention provides a multi-source sensor information fusion method applied to geological disasters in a three gorges reservoir area, which comprises a disaster area and a monitoring server for managing monitoring data, wherein the monitoring server is arranged outside the top of the disaster area; a monitoring module is arranged on the disaster area, and comprises a first ranging module, a second ranging module, a third ranging module, an upper flat layer photoelectric switch, a lower flat layer photoelectric switch, a sensing switch, an upper limit magnetic switch, a lower limit magnetic switch, a 3D somatosensory photographic device and an MCU (microprogrammed control unit); the first ranging module is installed at the top of the disaster area and used for monitoring the distance between the disaster area and the disaster, so that a better service is provided.
Description
Technical Field
The invention relates to the technical field of geological disaster treatment, in particular to a multi-source sensor information fusion method applied to geological disasters in a three gorges reservoir area.
Background
At present, a disaster user has little knowledge about the daily situation of a disaster, and cannot know the daily environment, disaster situation, use time, disaster time, and the like of the disaster. Whether abnormal conditions occur in the daily process is difficult to know and completely depends on feedback of customers, so that the multi-source sensor information fusion method applied to geological disasters in the three gorges reservoir area is provided.
Disclosure of Invention
In order to solve the problems, the invention provides a multi-source sensor information fusion method applied to geological disasters in a three gorges reservoir area.
In order to achieve the purpose, the invention adopts the following technical scheme:
a multi-source sensor information fusion method applied to geological disasters in three gorges reservoir areas comprises a disaster area and a monitoring server used for managing monitoring data, wherein the monitoring server is arranged on the outer side of the top of the disaster area; a monitoring module is arranged on the disaster area, and comprises a first ranging module, a second ranging module, a third ranging module, an upper flat layer photoelectric switch, a lower flat layer photoelectric switch, a sensing switch, an upper limit magnetic switch, a lower limit magnetic switch, a 3D somatosensory photographic device and an MCU (microprogrammed control unit); the first distance measurement module is arranged at the top of the disaster area and used for monitoring the distance between the disaster area and a disaster, and meanwhile, the first distance measurement module monitors whether a shielding object exists between the disaster area and the disaster or not so as to judge whether the disaster area is normal or not; the second distance measurement module is arranged at the bottom of the disaster area and used for monitoring the distance between the disaster area and the disaster floor, and meanwhile, the second distance measurement module monitors whether a shielding object exists between the disaster area and the disaster floor or not so as to judge whether the disaster area is normal or not; the third ranging module is arranged on one side, close to the disaster non-disaster area, of the top of the disaster area and used for monitoring the distance between the disaster area and the non-disaster area, and meanwhile, the third ranging module is used for judging whether the disaster area and the side wall non-disaster area are in an inclined state or not so as to judge whether the disaster is normal or not; the upper flat photoelectric switch and the lower flat photoelectric switch are arranged on a control area of a disaster area; obtaining the speed and direction of the disaster according to the sequence of the upper flat layer photoelectric switch and the lower flat layer photoelectric switch which are shielded, the shielding time and the length of the flat layer plugboard; when the upper leveling photoelectric switch and the lower leveling photoelectric switch are simultaneously shielded by the leveling plugboards, the disaster is in the leveling position, and the current landing is obtained according to the disaster direction; the sensing switch and the 3D somatosensory photographic device are arranged in the disaster area; the sensing switch is used for detecting the opening and closing of the protective door; the 3D somatosensory photographic device collects video images, facial feature information and voice voiceprint information of a disaster area, and establishes disaster area action data according to the video images; the 3D somatosensory photographic device sends the acquired original data to the MCU; the 3D somatosensory photographic device comprises face recognition and voice recognition, wherein the face recognition carries out user identity recognition analysis on face information in data provided by the 3D somatosensory photographic device to determine the identity of a user; and voice recognition is used for carrying out user voice recognition analysis on voice information of the original data stream provided by the 3D somatosensory photographic device to assist in determining the identity of the user.
Preferably, signal data are obtained by sensors such as a first ranging module, a second ranging module, a third ranging module, an upper flat photoelectric switch, a lower flat photoelectric switch, a sensing switch, an upper limit magnetic switch, a lower limit magnetic switch and a 3D somatosensory photographic device and are sent to an MCU (microprogrammed control unit), the MCU is sent to a monitoring server, and the monitoring server sends information to the outside through a wireless network; and the monitoring server performs monitoring management after obtaining the disaster data.
Preferably, first range finding module is installed and is used for monitoring the distance between disaster area and the calamity in disaster area top, and whether first range finding module monitors between disaster area and the calamity shelter object simultaneously, judges whether normal in the calamity.
Preferably, the second ranging module is installed in disaster area bottom and is used for monitoring the distance between disaster area and the disaster floor, and whether the second ranging module monitors between disaster area and the disaster floor and shelter from the thing simultaneously, judges whether normal in the calamity.
Preferably, the third ranging module is installed at the top of the disaster area and is close to one side of the disaster non-disaster area for monitoring the distance between the disaster area and the non-disaster area, and the third ranging module judges whether the disaster area and the non-disaster area on the side wall have an inclined state or not to judge whether the disaster is normal or not.
Preferably, the upper flat photoelectric switch and the lower flat photoelectric switch are arranged on a control area of the disaster area; obtaining the speed and direction of the disaster according to the sequence of the upper flat layer photoelectric switch and the lower flat layer photoelectric switch which are shielded, the shielding time and the length of the flat layer plugboard; when the upper flat photoelectric switch and the lower flat photoelectric switch are simultaneously shielded by the flat plugboards, the disaster is in the flat position, and the current landing is obtained according to the disaster direction.
The invention has the beneficial effects that: the daily condition of the disaster is comprehensively and specifically known; the user can know the daily environment, disaster condition or service time and disaster time of the disaster, and can know various conditions of the user and be familiar with various disaster laws of the user. Therefore, abnormal disasters of the user can be confirmed according to the related data, corresponding processing is carried out in time, the safety of the user is better guaranteed, and the false alarm rate is reduced.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to 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.
A multi-source sensor information fusion method applied to geological disasters in three gorges reservoir areas comprises a disaster area and a monitoring server used for managing monitoring data, wherein the monitoring server is arranged on the outer side of the top of the disaster area; a monitoring module is arranged on the disaster area, and comprises a first ranging module, a second ranging module, a third ranging module, an upper flat layer photoelectric switch, a lower flat layer photoelectric switch, a sensing switch, an upper limit magnetic switch, a lower limit magnetic switch, a 3D somatosensory photographic device and an MCU (microprogrammed control unit); the first distance measurement module is arranged at the top of the disaster area and used for monitoring the distance between the disaster area and a disaster, and meanwhile, the first distance measurement module monitors whether a shielding object exists between the disaster area and the disaster or not so as to judge whether the disaster area is normal or not; the second distance measurement module is arranged at the bottom of the disaster area and used for monitoring the distance between the disaster area and the disaster floor, and meanwhile, the second distance measurement module monitors whether a shielding object exists between the disaster area and the disaster floor or not so as to judge whether the disaster area is normal or not;
the third ranging module is arranged on one side, close to the disaster non-disaster area, of the top of the disaster area and used for monitoring the distance between the disaster area and the non-disaster area, and meanwhile, the third ranging module is used for judging whether the disaster area and the side wall non-disaster area are in an inclined state or not so as to judge whether the disaster is normal or not; the upper flat photoelectric switch and the lower flat photoelectric switch are arranged on a control area of a disaster area; obtaining the speed and direction of the disaster according to the sequence of the upper flat layer photoelectric switch and the lower flat layer photoelectric switch which are shielded, the shielding time and the length of the flat layer plugboard;
when the upper leveling photoelectric switch and the lower leveling photoelectric switch are simultaneously shielded by the leveling plugboards, the disaster is in the leveling position, and the current landing is obtained according to the disaster direction; the sensing switch and the 3D somatosensory photographic device are arranged in the disaster area; the sensing switch is used for detecting the opening and closing of the protective door;
the 3D somatosensory photographic device collects video images, facial feature information and voice voiceprint information of a disaster area, and establishes disaster area action data according to the video images; the 3D somatosensory photographic device sends the acquired original data to the MCU; the 3D somatosensory photographic device comprises face recognition and voice recognition, wherein the face recognition carries out user identity recognition analysis on face information in data provided by the 3D somatosensory photographic device to determine the identity of a user; and voice recognition is used for carrying out user voice recognition analysis on voice information of the original data stream provided by the 3D somatosensory photographic device to assist in determining the identity of the user.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (6)
1. A multi-source sensor information fusion method applied to geological disasters in three gorges reservoir areas is characterized by comprising a disaster area and a monitoring server for managing monitoring data, wherein the monitoring server is arranged on the outer side of the top of the disaster area; a monitoring module is arranged on the disaster area, and comprises a first ranging module, a second ranging module, a third ranging module, an upper flat layer photoelectric switch, a lower flat layer photoelectric switch, a sensing switch, an upper limit magnetic switch, a lower limit magnetic switch, a 3D somatosensory photographic device and an MCU (microprogrammed control unit); the first distance measurement module is arranged at the top of the disaster area and used for monitoring the distance between the disaster area and a disaster, and meanwhile, the first distance measurement module monitors whether a shielding object exists between the disaster area and the disaster or not so as to judge whether the disaster area is normal or not; the second distance measurement module is arranged at the bottom of the disaster area and used for monitoring the distance between the disaster area and the disaster floor, and meanwhile, the second distance measurement module monitors whether a shielding object exists between the disaster area and the disaster floor or not so as to judge whether the disaster area is normal or not; the third ranging module is arranged on one side, close to the disaster non-disaster area, of the top of the disaster area and used for monitoring the distance between the disaster area and the non-disaster area, and meanwhile, the third ranging module is used for judging whether the disaster area and the side wall non-disaster area are in an inclined state or not so as to judge whether the disaster is normal or not; the upper flat photoelectric switch and the lower flat photoelectric switch are arranged on a control area of a disaster area; obtaining the speed and direction of the disaster according to the sequence of the upper flat layer photoelectric switch and the lower flat layer photoelectric switch which are shielded, the shielding time and the length of the flat layer plugboard; when the upper leveling photoelectric switch and the lower leveling photoelectric switch are simultaneously shielded by the leveling plugboards, the disaster is in the leveling position, and the current landing is obtained according to the disaster direction; the sensing switch and the 3D somatosensory photographic device are arranged in the disaster area; the sensing switch is used for detecting the opening and closing of the protective door; the 3D somatosensory photographic device collects video images, facial feature information and voice voiceprint information of a disaster area, and establishes disaster area action data according to the video images; the 3D somatosensory photographic device sends the acquired original data to the MCU; the 3D somatosensory photographic device comprises face recognition and voice recognition, wherein the face recognition carries out user identity recognition analysis on face information in data provided by the 3D somatosensory photographic device to determine the identity of a user; and voice recognition is used for carrying out user voice recognition analysis on voice information of the original data stream provided by the 3D somatosensory photographic device to assist in determining the identity of the user.
2. The multi-source sensor information fusion method applied to geological disasters in three gorges reservoir areas according to claim 1, characterized in that signal data obtained by sensors, such as a first ranging module, a second ranging module, a third ranging module, an upper flat photoelectric switch, a lower flat photoelectric switch, a sensing switch, an upper limit magnetic switch, a lower limit magnetic switch and a 3D somatosensory photographic device, are sent to an MCU (microprogrammed control unit), and the MCU is sent to a monitoring server, and the monitoring server sends information to the outside through a wireless network; and the monitoring server performs monitoring management after obtaining the disaster data.
3. The multi-source sensor information fusion method applied to geological disasters in the three gorges reservoir area according to claim 1, wherein the first ranging module is installed at the top of the disaster area and used for monitoring the distance between the disaster area and the disasters, and meanwhile, the first ranging module monitors whether shelters exist between the disaster area and the disasters or not to judge whether the disasters are normal or not.
4. The multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area according to claim 1, wherein the second ranging module is installed at the bottom of the disaster area and used for monitoring the distance between the disaster area and a disaster floor, and meanwhile, the second ranging module monitors whether a shelter exists between the disaster area and the disaster floor to judge whether the disaster area is normal or not.
5. The multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area according to claim 1, wherein a third ranging module is installed on the top of the disaster area near the disaster non-disaster area for monitoring the distance between the disaster area and the non-disaster area, and the third ranging module judges whether the disaster area and the sidewall non-disaster area are in an inclined state or not to judge whether the disaster is normal or not.
6. The multi-source sensor information fusion method applied to geological disasters in three gorges reservoir areas according to any one of claims 1 to 5, characterized in that an upper flat photoelectric switch and a lower flat photoelectric switch are arranged on a control area of a disaster area; obtaining the speed and direction of the disaster according to the sequence of the upper flat layer photoelectric switch and the lower flat layer photoelectric switch which are shielded, the shielding time and the length of the flat layer plugboard; when the upper flat photoelectric switch and the lower flat photoelectric switch are simultaneously shielded by the flat plugboards, the disaster is in the flat position, and the current landing is obtained according to the disaster direction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010044492.XA CN113129555A (en) | 2020-01-15 | 2020-01-15 | Multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010044492.XA CN113129555A (en) | 2020-01-15 | 2020-01-15 | Multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113129555A true CN113129555A (en) | 2021-07-16 |
Family
ID=76771633
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010044492.XA Pending CN113129555A (en) | 2020-01-15 | 2020-01-15 | Multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113129555A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184618A (en) * | 2011-04-21 | 2011-09-14 | 吴良善 | Photoelectric rockfall, landslide and collapse monitoring method, and monitoring and alarming device |
| CN105673075A (en) * | 2016-01-13 | 2016-06-15 | 中国矿业大学(北京) | Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method |
| CN106530626A (en) * | 2016-11-07 | 2017-03-22 | 孙晓彤 | Mountain flood disaster monitoring and early warning system and monitoring method |
| CN107610421A (en) * | 2017-09-19 | 2018-01-19 | 合肥英泽信息科技有限公司 | A kind of geo-hazard early-warning analysis system and method |
| CN108694505A (en) * | 2018-05-14 | 2018-10-23 | 中国路桥工程有限责任公司 | A kind of intelligence geological hazard dangerous analysis method |
| CN110363964A (en) * | 2019-07-12 | 2019-10-22 | 新疆维吾尔自治区测绘科学研究院 | It is a kind of landslide and Geological Hazards of debris monitoring and emergency response method |
| 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 |
-
2020
- 2020-01-15 CN CN202010044492.XA patent/CN113129555A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102184618A (en) * | 2011-04-21 | 2011-09-14 | 吴良善 | Photoelectric rockfall, landslide and collapse monitoring method, and monitoring and alarming device |
| CN105673075A (en) * | 2016-01-13 | 2016-06-15 | 中国矿业大学(北京) | Coal and rock dynamic disaster multi-parameter wireless monitoring comprehensive early-warning technology and method |
| CN106530626A (en) * | 2016-11-07 | 2017-03-22 | 孙晓彤 | Mountain flood disaster monitoring and early warning system and monitoring method |
| CN107610421A (en) * | 2017-09-19 | 2018-01-19 | 合肥英泽信息科技有限公司 | A kind of geo-hazard early-warning analysis system and method |
| CN108694505A (en) * | 2018-05-14 | 2018-10-23 | 中国路桥工程有限责任公司 | A kind of intelligence geological hazard dangerous analysis method |
| CN110363964A (en) * | 2019-07-12 | 2019-10-22 | 新疆维吾尔自治区测绘科学研究院 | It is a kind of landslide and Geological Hazards of debris monitoring and emergency response method |
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2300949B1 (en) | Video-based system and method of elevator door detection | |
| US9767663B2 (en) | GPS directed intrusion system with data acquisition | |
| JPH07152977A (en) | Sound monitoring-type site monitoring and guarding apparatus for atm machine and other facilities | |
| JP2009523678A (en) | Video assisted system for elevator control | |
| JP6729793B2 (en) | Information processing apparatus, control method, and program | |
| JP2012014302A (en) | Monitoring device | |
| RU2713876C1 (en) | Method and system for detecting alarm events when interacting with self-service device | |
| KR20160074208A (en) | System and method for providing safety service using beacon signals | |
| KR20150051630A (en) | Apparatus and method for detecting terrorism using irregular motion of peoples | |
| CN112757300A (en) | Robot protection system and method | |
| US20240021064A1 (en) | Systems and methods for providing evacuation monitoring and assistance | |
| KR20150033402A (en) | Apparatus and Method for Unmanned Safety Guard Based on Video Recognition | |
| KR20180081645A (en) | Embedded vision system for real-time detection of safety anomaly in subway screen door and method thereof | |
| KR102113489B1 (en) | Action Detection System and Method Using Deep Learning with Camera Input Image | |
| CN113129555A (en) | Multi-source sensor information fusion method applied to geological disasters in three gorges reservoir area | |
| US20220189267A1 (en) | Security system | |
| CN114057051B (en) | Reminding method and system for elevator calling in car | |
| CN103974028A (en) | Method for detecting fierce behavior of personnel | |
| WO2020170643A1 (en) | Information processing device, information processing system, information processing method, and program | |
| US10210719B1 (en) | Automated geospatial security alarm routing | |
| RU2378178C1 (en) | Control system of elevators and method of control automation for elevators | |
| JP2005101807A (en) | Apparatus and method for outdoor monitoring | |
| KR102613957B1 (en) | System of peventing suicide using virtulal detection line in image | |
| KR20200126496A (en) | System and method for identifying intruder | |
| CN113269916B (en) | Guest prejudging analysis method and system based on face recognition |
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: 20210716 |
|
| RJ01 | Rejection of invention patent application after publication |