CN112946631A - Point domain identification system and method for slope risk monitoring - Google Patents
Point domain identification system and method for slope risk monitoring Download PDFInfo
- Publication number
- CN112946631A CN112946631A CN202110120356.9A CN202110120356A CN112946631A CN 112946631 A CN112946631 A CN 112946631A CN 202110120356 A CN202110120356 A CN 202110120356A CN 112946631 A CN112946631 A CN 112946631A
- Authority
- CN
- China
- Prior art keywords
- risk
- processing module
- acquisition
- point
- information
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 77
- 238000001914 filtration Methods 0.000 claims description 16
- 230000003287 optical effect Effects 0.000 claims description 5
- 239000007787 solid Substances 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 description 6
- 239000011435 rock Substances 0.000 description 6
- 238000001514 detection method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000010291 electrical method Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/885—Radar or analogous systems specially adapted for specific applications for ground probing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/16—Receiving elements for seismic signals; Arrangements or adaptations of receiving elements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Electromagnetism (AREA)
- Environmental & Geological Engineering (AREA)
- Geology (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geophysics (AREA)
- Acoustics & Sound (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to the field of devices for measuring solid deformation, in particular to a point domain identification system and a point domain identification method for slope risk monitoring, which comprise a processing module, the system comprises a display module and a plurality of acquisition modules, each acquisition module comprises a plurality of acquisition units, the acquisition units send geographic information of an acquisition risk region to a processing module, the processing module acquires the risk region and the geographic information, the processing module identifies risk point domain information corresponding to each acquisition mode in the risk region of each geographic information, a range label and a risk degree label are added to the risk point domain information, the processing module takes the acquisition mode corresponding to the risk point domain information which is located in a preset range and has the maximum risk degree label as a target monitoring method, the preset range is a risk range preset according to a geological structure, and the processing module outputs the target monitoring method to the display module for display. According to the invention, a plurality of acquired data are compared, so that the determined acquisition mode is optimized, and the accuracy of slope risk monitoring is improved.
Description
Technical Field
The invention relates to the field of devices for measuring solid deformation, in particular to a point domain identification system and a point domain identification method for slope risk monitoring.
Background
The acceleration of the urbanization process promotes the construction of urban roads, bridges and tunnels, so that more side slope zones are generated, and the geological disaster monitoring of the side slope zones becomes the key point and the difficulty of urban disaster prevention and control due to the influence of special geographic environments of the side slope zones. If the disaster prevention and control are not carried out on the side slope zone in time, traffic jam and even casualties of personnel and vehicles are easily caused.
For example, patent with publication number CN111178214A discloses a method for rapidly identifying dangerous rock mass with high and steep slopes based on unmanned aerial vehicle photography technology, which includes the following steps: generating a point cloud model by using a high-definition photo of an unmanned aerial vehicle, and carrying out point cloud denoising and sparse processing; calculating general characteristic points of the point cloud model, and clustering the general characteristic points into a plurality of general characteristic point sets by using a noise application space clustering algorithm based on density; classifying the general characteristic point set by using a support vector machine to determine a boundary point set of the dangerous rock mass; in the neighborhood of each boundary point set, fitting points on a slope where a dangerous rock mass is located into a plane to cut a point cloud model, and dividing the remaining point cloud model into a plurality of independent point cloud areas by using a density-based noise application spatial clustering algorithm; determining the region of the dangerous rock mass according to the geometric characteristics of each independent point cloud region; and carrying out primary stability evaluation on the dangerous rock mass. So as to realize the quick identification and stable preliminary judgment of the dangerous rock mass. Although the existing monitoring methods can monitor the slope danger, it is unknown which monitoring method can achieve the best monitoring effect.
Disclosure of Invention
The invention aims to provide a point domain identification system for slope risk monitoring, so as to select the most appropriate monitoring mode according to the slope condition.
The point domain identification system for slope risk monitoring in the scheme comprises a plurality of acquisition modules for acquiring risk regions of different geological structures, each acquisition module comprises a plurality of acquisition units for acquiring the risk regions of a slope in different acquisition modes, a processing module and a display module, the acquisition units send geographic information of the acquired risk regions to the processing module, the processing module acquires the risk regions and the geographic information, the processing module identifies risk point domain information corresponding to each acquisition mode in the risk regions of each geographic information and adds a range label and a risk degree label to the risk point domain information, the processing module takes the acquisition mode corresponding to the risk point domain information which is within a preset range and has the largest risk degree label as a target monitoring method, the preset range is a risk range preset according to the geological structures, and the processing module outputs the target monitoring method to the display module for displaying.
The beneficial effect of this scheme is:
acquiring risk areas of different geological structures by using a plurality of acquisition modules, and then setting a plurality of acquisition units for each geological structure to acquire in different acquisition modes, so that a plurality of acquisition results have comparability; the method comprises the steps of identifying risk point domain information from a risk area, adding a range label and a risk degree label to the risk point domain information, identifying a risk position of the side slope, judging an acquisition mode serving as a target monitoring method according to the range label and the risk degree label, comparing a plurality of acquired data, optimizing the determined acquisition mode, and improving the accuracy of side slope risk monitoring.
Further, the processing module calculates a ratio of the range label to a preset range, and when the ratio is greater than the preset value, the processing module judges that the risk point domain information is within the preset range.
The beneficial effects are that: because the preset range and the actually acquired range label cannot be completely the same, whether the risk point domain information is in the preset range is judged according to the ratio, and the method is more practical.
Further, the processing module judges whether the acquisition starting time of the acquisition units is the same when the risk point domain information is outside the preset range, the processing module judges whether mutual interference exists among the acquisition units according to the acquisition starting time of the acquisition units, the processing module sends starting sequence information to the acquisition units when the mutual interference exists among the acquisition units, and the acquisition units start acquisition according to the starting sequence information.
The beneficial effects are that: when the risk point domain information is located outside the preset range, whether the acquisition units have mutual interference or not is judged, so that the starting sequence of the acquisition units is determined, the interference among the acquisition units is eliminated, and the accuracy of risk point domain information acquisition is improved.
Further, the processing module presets the acquisition unit on the side slopes on different geological sections according to the range label and the risk degree label.
The beneficial effects are that: the acquisition units of different acquisition modes are preset to different geological sections according to the range labels and the risk degree labels, slope risks are acquired, and the acquisition units are more reasonably arranged.
Further, the acquisition unit is first electromagnetism ware, second electromagnetism ware, optical monitor and electric power monitor, be equipped with the first camera module of shooing first environment image on the first electromagnetism ware, be equipped with the second camera module of shooing second environment image on the second electromagnetism ware, 360 panoramas are formed in the combination of first environment image and second environment image, when no mutual interference between the acquisition unit, processing module acquires first environment image and second environment image and discernment interference factor, processing module compares interference factor with the factor of predetermineeing, and is the same with the factor of predetermineeing at interference factor, processing module gives the geographic information mark interference label that first electromagnetism ware and second electromagnetism ware gathered.
The beneficial effects are that: because first electromagnetism ware and second electromagnetism ware detect through sending the electromagnetic wave, the electromagnetic wave can receive radio wave and the interference of electromagnetic wave in the environment, so, when the acquisition unit does not have mutual interference, through shooing the environment image to two camera modules to discern interference factor in the environment image, for example interference factor can be signal base, building etc. when having preset the factor, add the interference label, be convenient for in time discover the acquisition information who receives the interference, improve the follow-up validity of confirming the risk range.
The processing module sends the geographic information to the filtering module according to the interference tag, the filtering module sends the filtered geographic information to the processing module, and the processing module identifies risk point domain information in the geographic information after filtering.
The beneficial effects are that: and filtering the interfered geographic information, and then identifying the risk point domain information, thereby improving the accuracy of the identified risk point domain information.
The point domain identification method for slope risk monitoring is applied to the point domain identification system for slope risk monitoring.
Drawings
FIG. 1 is a schematic block diagram of a first embodiment of a point domain identification system for slope risk monitoring according to the present invention;
fig. 2 is a flowchart of a first embodiment of a point domain identification method for slope risk monitoring according to the present invention.
Detailed Description
The following is a more detailed description of the present invention by way of specific embodiments.
Example one
A point domain identification system for slope risk monitoring, as shown in FIG. 1: the acquisition module comprises a plurality of acquisition modules for acquiring risk areas of different geological structures, each acquisition module comprises a plurality of acquisition units for acquiring the risk areas of side slopes in different acquisition modes, each acquisition unit comprises a first electromagnetic device, a second electromagnetic device, an optical monitor and an electric power monitor, the first electromagnetic device is a geological radar, the second electromagnetic device is an SSP seismic scattering exploration instrument, the optical monitor is a seismic wave CT exploration instrument, and the electric power monitor is an instrument for exploration by using a high-density electrical method.
The system comprises a processing module and a display module, wherein the processing module can use the existing host carrying tunnel monitoring data processing software, the acquisition units transmit the geographic information of the acquired risk areas to the processing module, each acquisition unit simultaneously transmits equipment codes when transmitting the geographic information, and the geographic information is the detection result information received after a corresponding instrument transmits a detection signal; the processing module acquires a risk area and geographic information, wherein the risk area is the position of the acquisition unit, and the risk area is distinguished through equipment codes of the acquisition unit; the method comprises the steps that a processing module identifies risk point domain information corresponding to each acquisition mode in a risk area of each geological information, namely the risk point domain information is identified for the geological information acquired by different acquisition units on each geological structure slope, the risk point domain information is abnormal position information in the slope, the processing module adds a range label and a risk degree label to the risk point domain information, the processing module presets the acquisition units to the slopes on different geological sections according to the range label and the risk degree label, the range label can be identified through colored lines, the risk degree label can be represented through colored triangular representation, for example, the severity grade is red, and then the colors are sequentially decreased according to the severity; the processing module takes an acquisition mode corresponding to risk point domain information which is located within a preset range and has the maximum risk degree label as a target monitoring method, calculates the ratio of the range label to the preset range, and judges that the risk point domain information is located within the preset range when the ratio is larger than a preset value, namely, the acquisition method which detects the most accurate acquisition unit is selected as the monitoring method, such as a geological radar method, and the preset range is a risk range preset according to a geological structure; and the processing module outputs the target monitoring method to the display module for displaying.
The processing module judges whether the acquisition starting time of the acquisition units is the same when the risk point domain information is located outside the preset range, the processing module judges whether mutual interference exists between the acquisition units according to the acquisition starting time of the acquisition units, for example, the acquisition starting time of the first electromagnetic device is the same as that of the second electromagnetic device, namely, the mutual interference exists between the acquisition units, when the mutual interference exists between the acquisition units, the processing module sends starting sequence information to the acquisition units, for example, the starting sequence information is that the first electromagnetic device is started for five minutes before the second electromagnetic device, and the acquisition units are started for acquisition according to the starting sequence information.
The first electromagnetic device is provided with a first camera module for shooting a first environment image, the second electromagnetic device is provided with a second camera module for shooting a second environment image, the first environment image and the second environment image are combined to form a 360-degree panoramic image, and the first camera module and the second camera module can use the existing panoramic camera; when there is not mutual interference between the acquisition unit, processing module acquires first environment image and second environment image and discerns interference factor, interference factor can be subaerial fixture or removal thing, processing module compares interference factor and preset factor, when interference factor is the same with preset factor, preset factor can be can cause the wireless influence factor of interference to electromagnetic prospecting, processing module gives the geographic information mark interference label of first electromagnetism ware and second electromagnetism ware collection, interference label can be through the addition of characters sign.
The system further comprises a filtering module, the filtering module can use an existing filtering circuit, the processing module sends the geographic information to the filtering module according to the interference tag, the filtering module sends the filtered geographic information to the processing module, and the processing module identifies risk point domain information in the geographic information after filtering.
As shown in fig. 2, the point domain identification method for slope risk monitoring based on the point domain identification system for slope risk monitoring includes the following steps:
the method comprises the steps that acquisition modules are respectively arranged on a plurality of slopes to be monitored, a plurality of acquisition units of each acquisition module are arranged on the acquisition positions of the slopes according to actual requirements, and the acquisition units are used for respectively acquiring the geographic information of the slopes by an electromagnetic wave method, an optical method and an electric power method.
The geographic information and the risk areas of the plurality of acquisition units are acquired through the processing module, and the risk point area information of each acquisition unit is identified through the processing module.
After the geographic information is obtained and the risk point domain information is located outside the preset range, whether the acquisition starting time of the acquisition units is the same or not is judged through the processing module, the acquisition starting time is obtained according to the records of the acquisition units, whether mutual interference exists among the acquisition units is judged through the processing module according to the acquisition starting time of the acquisition units, and when the mutual interference exists among the acquisition units, the processing module sends starting sequence information to the acquisition units to enable the acquisition units to start acquisition according to the starting sequence information.
According to the detection and acquisition unit using the electromagnetic wave method, when mutual interference does not exist between the acquisition units, the interference factors in the environment image are acquired and identified by acquiring the environment image around the acquisition units, the interference factors are compared with preset factors, when the interference factors are the same as the preset factors, wireless electromagnetic interference is judged to exist, the wireless electromagnetic interference environment is judged to exist, then the interference labels are added to the corresponding acquisition units by the processing module, and the filtering module is used for filtering the geographic information.
And recognizing the risk point domain information again after filtering, namely recognizing the risk point domain information in the geographic information again, adding a range label and a risk degree label according to the risk point domain information, enabling a processing module to take an acquisition mode corresponding to the risk point domain information which is located in a preset range and has the maximum risk degree label as a target monitoring method, calculating the ratio of the range label to the preset range by the processing module, and judging that the risk point domain information is located in the preset range by the processing module when the ratio is greater than a preset value.
Example two
The robot system is different from the first embodiment in that the robot system further comprises a radio receiving module for receiving wireless signals, a manipulator module and a control module are mounted on the radio receiving module, the manipulator module can use the existing manipulator product, a base is mounted on the manipulator module, the control module is located in the base, and the control module controls the manipulator module to drive the radio receiving module to move in multiple dimensions; the processing module identifies vehicle areas on the first environment image and the second environment image, the processing module identifies a function identifier from the vehicle area and matches the function identifier with a preset identifier, such as a function identifier of characters of routing inspection, police, fire protection and the like on a vehicle, when the function identifier is the same as the preset identifier, the processing module sends an acquisition signal to the control module, the control module controls the manipulator module to drive the radio receiving module to move towards the moving direction of the vehicle according to the acquisition signal, the radio receiving module receives a radio signal of equipment on the vehicle, outputs a signal frequency and sends the signal frequency to the control module, the control module judges whether the signal frequency and a first working frequency preset by the first electromagnetic device are in the same frequency band, and judges whether the signal frequency and a second working frequency preset by the second electromagnetic device are in the same frequency band, such as the second working frequency and the signal frequency are in an extremely high frequency band, when the signal frequency is the same as the first working frequency or the signal frequency is the same as the second working frequency, the control module sends an interference starting signal to the processing module, the control module continuously judges whether the signal frequency is the same as the first working frequency or the signal frequency is the same as the second working frequency, when the signal frequency is different from the first working frequency or the signal frequency is different from the second working frequency, namely the vehicle generating interference leaves, the control module sends an interference leaving signal to the processing module, and when the interference factor is different from a preset factor, the processing module adds an interference label to geographic information in a time period between the received interference starting signal and the received interference leaving signal.
When no corresponding interference factors are found around the side slope, namely no interference objects such as signal towers and buildings are arranged around the side slope, the radio receiving module is enabled to move towards the vehicle to steer and receive radio signals, namely when a special working vehicle is judged, whether equipment on the vehicle emits radio signals is monitored, the radio signals are received and the signal frequency of the equipment is identified, when the signal frequency is the same as the working frequency of any electromagnetic device, the control module sends an interference starting signal and an interference leaving signal to the processing module, the processing module adds an interference label to geographic information in a time period between the two signals, interference elimination is enabled to be more accurate, and the most appropriate monitoring method is accurately determined.
The foregoing is merely an example of the present invention and common general knowledge of known specific structures and features of the embodiments is not described herein in any greater detail. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (7)
1. A point territory identification system for side slope risk monitoring, including a plurality of collection modules of gathering the risk area of different geological structures, every collection module includes a plurality of collection units of gathering the risk area of side slope with different collection modes, its characterized in that: the system comprises a collecting unit, a processing module and a display module, wherein the collecting unit sends geographic information of a collected risk area to the processing module, the processing module acquires the risk area and the geographic information, the processing module identifies risk point domain information corresponding to each collecting mode in the risk area of each geographic information, and adds a range label and a risk degree label to the risk point domain information, the processing module takes the collecting mode corresponding to the risk point domain information which is located in a preset range and has the maximum risk degree label as a target monitoring method, the preset range is a risk range preset according to a geological structure, and the processing module outputs the target monitoring method to the display module for display.
2. The point-domain identification system for slope risk monitoring of claim 1, wherein: and the processing module calculates the ratio of the range label to the preset range, and judges that the risk point domain information is in the preset range when the ratio is greater than the preset value.
3. The point-domain identification system for slope risk monitoring of claim 1, wherein: the processing module judges whether the acquisition starting time of the acquisition units is the same when the risk point domain information is outside the preset range, the processing module judges whether mutual interference exists among the acquisition units according to the acquisition starting time of the acquisition units, the processing module sends starting sequence information to the acquisition units when the mutual interference exists among the acquisition units, and the acquisition units start acquisition according to the starting sequence information.
4. The point-domain identification system for slope risk monitoring of claim 3, wherein: and the processing module presets the acquisition units on the side slopes on different geological sections according to the range labels and the risk degree labels.
5. The point-domain identification system for slope risk monitoring of claim 3, wherein: the acquisition unit is first electromagnetism ware, second electromagnetism ware, optical monitor and electric power monitor, be equipped with the first camera module of shooing first environment image on the first electromagnetism ware, be equipped with the second camera module of shooing second environment image on the second electromagnetism ware, first environment image and the combination of second environment image form 360 panoramas, when no mutual interference between the acquisition unit, processing module acquires first environment image and second environment image and discernment interference factor, processing module compares interference factor with the factor of predetermineeing, and is the same with the factor of predetermineeing at interference factor, processing module gives the geographic information mark interference label of first electromagnetism ware and second electromagnetism ware collection.
6. The point-domain identification system for slope risk monitoring of claim 5, wherein: the processing module sends the geographic information to the filtering module according to the interference tag, the filtering module sends the filtered geographic information to the processing module, and the processing module identifies risk point domain information in the geographic information after filtering.
7. Point domain identification method for slope risk monitoring using the point domain identification system for slope risk monitoring of any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110120356.9A CN112946631A (en) | 2021-01-28 | 2021-01-28 | Point domain identification system and method for slope risk monitoring |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110120356.9A CN112946631A (en) | 2021-01-28 | 2021-01-28 | Point domain identification system and method for slope risk monitoring |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112946631A true CN112946631A (en) | 2021-06-11 |
Family
ID=76238923
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110120356.9A Pending CN112946631A (en) | 2021-01-28 | 2021-01-28 | Point domain identification system and method for slope risk monitoring |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112946631A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023240542A1 (en) * | 2022-06-16 | 2023-12-21 | 北京小米移动软件有限公司 | Information acquisition method and apparatus, and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2010202215A1 (en) * | 2010-05-31 | 2011-12-15 | Jigsaw Concepts Pty Ltd | An expert risk alert system |
| CN204046720U (en) * | 2014-03-04 | 2014-12-24 | 深圳信息职业技术学院 | A kind of safety monitoring system |
| CN104570157A (en) * | 2015-01-07 | 2015-04-29 | 中国科学院南海海洋研究所 | Ocean floor heat flow long-time observed data collecting method |
| CN111429028A (en) * | 2020-04-16 | 2020-07-17 | 贵州电网有限责任公司 | Power transmission line icing disaster risk assessment method suitable for mountainous terrain |
| CN112071028A (en) * | 2020-09-18 | 2020-12-11 | 北京中地华安地质勘查有限公司 | Monitoring and early warning method and device for shallow landslide |
-
2021
- 2021-01-28 CN CN202110120356.9A patent/CN112946631A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2010202215A1 (en) * | 2010-05-31 | 2011-12-15 | Jigsaw Concepts Pty Ltd | An expert risk alert system |
| CN204046720U (en) * | 2014-03-04 | 2014-12-24 | 深圳信息职业技术学院 | A kind of safety monitoring system |
| CN104570157A (en) * | 2015-01-07 | 2015-04-29 | 中国科学院南海海洋研究所 | Ocean floor heat flow long-time observed data collecting method |
| CN111429028A (en) * | 2020-04-16 | 2020-07-17 | 贵州电网有限责任公司 | Power transmission line icing disaster risk assessment method suitable for mountainous terrain |
| CN112071028A (en) * | 2020-09-18 | 2020-12-11 | 北京中地华安地质勘查有限公司 | Monitoring and early warning method and device for shallow landslide |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023240542A1 (en) * | 2022-06-16 | 2023-12-21 | 北京小米移动软件有限公司 | Information acquisition method and apparatus, and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11867539B2 (en) | Acoustic method and system for providing digital data | |
| US8692690B2 (en) | Automated vehicle speed measurement and enforcement method and system | |
| KR102365578B1 (en) | Intrusion detection system combining high performance rader and machine learning | |
| US20220270376A1 (en) | Deterioration diagnosis device, deterioration diagnosis system, deterioration diagnosis method, and storage medium for storing program | |
| CN110542898A (en) | Radar group-based vehicle behavior continuous tracking detection system and method | |
| KR101752858B1 (en) | Radar-based high-precision unexpected incident detecting system | |
| US20100305858A1 (en) | Non-kinematic behavioral mapping | |
| CN105549110A (en) | Airport runway foreign object debris detection device and airport runway foreign object debris detection method | |
| CN106741008B (en) | Railway line foreign matter identification method and system | |
| KR102225146B1 (en) | Mine Vehicle V2X System and Method for Management of Mine Safety | |
| CN113627213B (en) | Method, device and system for monitoring abnormal behavior of vehicle | |
| CN112596049B (en) | Method for improving detection accuracy of unmanned aerial vehicle | |
| WO2020116032A1 (en) | Road monitoring system, road monitoring device, road monitoring method, and non-transitory computer-readable medium | |
| CN109872505B (en) | Highway guardrail alarm system and method based on optical fiber micro-vibration | |
| JP7471470B2 (en) | Anomaly detection based on statistical image processing to prevent cable cuts | |
| CN110879598A (en) | Information fusion method and device of multiple sensors for vehicle | |
| CN112133085B (en) | Vehicle information matching method, device and system, storage medium and electronic device | |
| CN107578646A (en) | low slow small target detection monitoring management system and method | |
| CN112946631A (en) | Point domain identification system and method for slope risk monitoring | |
| Bello-Salau et al. | Development of a laboratory model for automated road defect detection | |
| CN103149603A (en) | Road weather detection method based on video | |
| KR102648000B1 (en) | Sensor attack simulation system | |
| CN112946779B (en) | Point domain identification system and method for tunnel security monitoring | |
| JP2019158762A (en) | Device, method, and program for detecting abnormalities | |
| Hubner et al. | Audio-video sensor fusion for the detection of security critical events in public spaces |
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 |