CN112813878A - Gate control platform and method based on high-risk vehicle identification - Google Patents
Gate control platform and method based on high-risk vehicle identification Download PDFInfo
- Publication number
- CN112813878A CN112813878A CN202011265312.7A CN202011265312A CN112813878A CN 112813878 A CN112813878 A CN 112813878A CN 202011265312 A CN202011265312 A CN 202011265312A CN 112813878 A CN112813878 A CN 112813878A
- Authority
- CN
- China
- Prior art keywords
- gate
- gate control
- vehicle identification
- control platform
- meters
- 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.)
- Granted
Links
Classifications
-
- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
- E01F13/00—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions
- E01F13/04—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/20—Scenes; Scene-specific elements in augmented reality scenes
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to a gate control platform and a method based on high-risk vehicle identification, wherein the platform comprises: the coil induction mechanism is arranged under the ground at an entrance of a highway and comprises a square coil, a ground wire slot and a control board, wherein the square coil is 2 meters in length and 1 meter in width, is embedded in the ground wire slot and is used for detecting vehicles within the range of 2.5 meters in length and 2 meters in width, and the control board is connected with the square coil and is used for sending a first detection command when detecting the vehicles within the range of 2.5 meters in length and 2 meters in width; and the gate opening mechanism is used for opening the connected gate when receiving the crack identification command. The gate control platform and the method based on high-risk vehicle identification are compact in design and reliable in structure. The vehicle with irregular crack glass can be identified on site and sent back in time, so that the safety of the vehicle passing on the highway is ensured.
Description
Technical Field
The invention relates to the field of gate control, in particular to a gate control platform and a gate control method based on high-risk vehicle identification.
Background
The gate is used for closing and opening the control facility of the drainage (discharging) water channel. The important components of hydraulic buildings can be used for intercepting water flow, controlling water level, regulating flow, discharging silt and floating objects and the like.
The classification of the gates is as follows: (1) dividing according to the manufacturing materials. The gate mainly comprises a wooden gate, a wooden panel steel framework gate, a cast iron gate, a reinforced concrete gate and a steel gate. (2) The position of the gate top relative to the horizontal plane is divided. There are mainly open-top type gates and submerged type gates. (3) Divided by the nature of the job. Mainly comprises a working gate, an accident gate and an overhaul gate. (4) The method is divided according to the opening and closing method of the gate. The gate is opened and closed by mechanical operation and the hydraulic automatic gate is opened and closed by the change of water pressure borne by the gate when the water level rises and falls. (5) Divided into different supporting forms of the door leaf. Mainly comprises a fixed wheel supporting gate, a hinged supporting gate, a gate supported by a slideway, a chain wheel gate, a string roller gate, a round roller gate and the like.
In a broad sense, any control mechanism that can act as a barrier can be collectively referred to as a gate.
In the prior art, due to the fact that a vehicle is hit by broken stones during running or accidentally injured by nearby construction vehicles at the sides of a class, various irregular cracks are generated on glass of the vehicle, the glass cracks are not very problematic when the vehicle runs on a low-speed urban road, but safety accidents such as glass breakage are easy to generate when the vehicle runs on a high-speed road, and potential safety hazards are generated not only on the vehicle but also on nearby vehicles.
Disclosure of Invention
In order to solve the related problems in the prior art, the invention provides a gate control platform based on high-risk vehicle identification, which can identify vehicles with irregular cracks on site and timely return vehicles, so that the safety of the vehicles passing on a highway is ensured.
For this reason, the present invention needs to have at least the following key points:
(1) when the glass of a vehicle about to enter the highway is detected to have irregular cracks, the vehicle is judged to be a high-risk vehicle, and a return channel near the entrance of the highway is opened so as to facilitate the return of the high-risk vehicle;
(2) a targeted coil induction mechanism and a full-color camera are arranged, and imaging characteristic analysis is carried out on each vehicle about to enter the highway through linkage.
According to an aspect of the present invention, there is provided a gate control platform based on high-risk vehicle identification, the platform comprising:
the coil induction mechanism is arranged under the ground at an entrance of a highway and comprises a square coil, a ground wire slot and a control board, wherein the square coil is 2 meters in length and 1 meter in width, is embedded in the ground wire slot and is used for detecting vehicles within the range of 2.5 meters in length and 2 meters in width, and the control board is connected with the square coil and is used for sending a first detection command when detecting the vehicles within the range of 2.5 meters in length and 2 meters in width;
the gate opening mechanism is connected with the second detection device, is used for opening the gate connected with the second detection device when receiving a crack identification instruction, and is also used for keeping the gate connected with the second detection device in a closed state when receiving a crack unidentified instruction;
the gate is arranged on the side surface of the highway entrance and used for closing a return channel on the side surface of the highway entrance;
the full-color camera is arranged above the coil induction mechanism, is connected with the control panel and is used for executing full-color camera shooting action on the environment above the ground where the coil induction mechanism is located when receiving a first detection command so as to obtain an image above the ground;
the data adjusting equipment is arranged above the coil induction mechanism, is connected with the full-color camera and is used for performing color index lifting processing on the received image above the ground for multiple times so as to obtain and output a corresponding data adjusting image;
the content processing equipment is connected with the data adjusting equipment and is used for executing the blur processing without the scaling transformation on the received data adjusting image so as to obtain and output a corresponding content processing image;
a point image restoration mechanism connected to the content processing device for executing a point image restoration operation based on optical characteristics of optical components of the full-color camera on the received content processing image to obtain a corresponding real-time restoration image;
the first detection device is connected with the point image restoration mechanism and used for identifying a glass imaging area in the instant restoration image based on glass imaging characteristics;
the second detection device is connected with the first detection device and used for sending out a crack identification instruction when the irregular edge exists in the glass imaging area and sending out a crack unidentified instruction when the irregular edge is not stored in the glass imaging area;
and the characteristic storage device is respectively connected with the first detection device and the full-color camera and is used for storing the glass imaging characteristic and the optical characteristic of the optical component of the full-color camera.
According to another aspect of the invention, a gate control method based on high-risk vehicle identification is further provided, and the method comprises the step of using a gate control platform based on high-risk vehicle identification as described above to open a return passage near an entrance of a highway to facilitate vehicle return when irregular cracks of glass of a vehicle about to enter the highway are detected.
The gate control platform and the method based on high-risk vehicle identification are compact in design and reliable in structure. The vehicle with irregular crack glass can be identified on site and sent back in time, so that the safety of the vehicle passing on the highway is ensured.
Detailed Description
Embodiments of the high-risk vehicle identification-based gate control platform and method of the present invention will be described in detail below.
Modern highways are developing towards intellectualization, and gradually form the science and technology idea of 'intelligent highways'. The intelligent expressway proposes and introduces Internet thinking and technology, reconstructs and reconstructs traditional expressway electromechanical systems and management services, and the initial construction task is to improve the operation management level and the trip service quality of the expressway through information exchange and sharing, data fusion and mining, thereby realizing informatization and intellectualization of services such as provincial expressway monitoring management, emergency command, auxiliary decision, business handling, trip guidance and the like. The future development trend is to introduce a vehicle-road communication technology to realize the cooperation of people, vehicles, roads and environment.
In the prior art, due to the fact that a vehicle is hit by broken stones during running or accidentally injured by nearby construction vehicles at the sides of a class, various irregular cracks are generated on glass of the vehicle, the glass cracks are not very problematic when the vehicle runs on a low-speed urban road, but safety accidents such as glass breakage are easy to generate when the vehicle runs on a high-speed road, and potential safety hazards are generated not only on the vehicle but also on nearby vehicles.
In order to overcome the defects, the invention builds the gate control platform and the gate control method based on high-risk vehicle identification, and can effectively solve the corresponding technical problems.
According to the embodiment of the invention, the gate control platform based on high-risk vehicle identification comprises:
the coil induction mechanism is arranged under the ground at an entrance of a highway and comprises a square coil, a ground wire slot and a control board, wherein the square coil is 2 meters in length and 1 meter in width, is embedded in the ground wire slot and is used for detecting vehicles within the range of 2.5 meters in length and 2 meters in width, and the control board is connected with the square coil and is used for sending a first detection command when detecting the vehicles within the range of 2.5 meters in length and 2 meters in width;
the gate opening mechanism is connected with the second detection device, is used for opening the gate connected with the second detection device when receiving a crack identification instruction, and is also used for keeping the gate connected with the second detection device in a closed state when receiving a crack unidentified instruction;
the gate is arranged on the side surface of the highway entrance and used for closing a return channel on the side surface of the highway entrance;
the full-color camera is arranged above the coil induction mechanism, is connected with the control panel and is used for executing full-color camera shooting action on the environment above the ground where the coil induction mechanism is located when receiving a first detection command so as to obtain an image above the ground;
the data adjusting equipment is arranged above the coil induction mechanism, is connected with the full-color camera and is used for performing color index lifting processing on the received image above the ground for multiple times so as to obtain and output a corresponding data adjusting image;
the content processing equipment is connected with the data adjusting equipment and is used for executing the blur processing without the scaling transformation on the received data adjusting image so as to obtain and output a corresponding content processing image;
a point image restoration mechanism connected to the content processing device for executing a point image restoration operation based on optical characteristics of optical components of the full-color camera on the received content processing image to obtain a corresponding real-time restoration image;
the first detection device is connected with the point image restoration mechanism and used for identifying a glass imaging area in the instant restoration image based on glass imaging characteristics;
the second detection device is connected with the first detection device and used for sending out a crack identification instruction when the irregular edge exists in the glass imaging area and sending out a crack unidentified instruction when the irregular edge is not stored in the glass imaging area;
and the characteristic storage device is respectively connected with the first detection device and the full-color camera and is used for storing the glass imaging characteristic and the optical characteristic of the optical component of the full-color camera.
Next, a detailed description of the structure of the high-risk vehicle identification-based gate control platform according to the present invention will be further described.
Among the gate control platform based on high-risk vehicle discernment:
the control board is also configured to issue a second detection command when no vehicle within a range of 2.5 meters long and 2 meters wide is detected.
Among the gate control platform based on high-risk vehicle discernment:
in the characteristic storage device, the glass imaging characteristic is a numerical range of gray values of pixel points constituting a glass imaging region.
Among the gate control platform based on high-risk vehicle discernment:
and the full-color camera is also used for stopping the full-color image pickup action executed on the environment above the ground where the coil induction mechanism is located when receiving the second detection command.
Among the gate control platform based on high-risk vehicle discernment:
the control panel is arranged in a control box under the ground at the entrance of the expressway, and the ground wire casing is 60 mm deep and filled with cement.
The gate control platform based on high-risk vehicle identification can further comprise:
the content storage chip is arranged on the integrated circuit board where the point image restoration mechanism is arranged, is connected with the point image restoration mechanism and is used for temporarily storing the output signal of the point image restoration mechanism;
the content storage chip is also used for temporarily storing the output signal of the point image restoration mechanism and the working state of the point image restoration mechanism.
Among the gate control platform based on high-risk vehicle discernment:
the content storage chip is also connected with the first detection equipment and is used for storing various configuration parameters of the first detection equipment;
wherein the content storage chip is further configured to store the output signal and the input signal of the first detection device.
Among the gate control platform based on high-risk vehicle discernment:
the content storage chip is also connected with the second detection equipment and is used for temporarily storing various configuration parameters of the second detection equipment.
Among the gate control platform based on high-risk vehicle discernment:
the content storage chip is also used for storing an output signal and an input signal of the second detection device;
the content storage chip is one of a FLASH memory, an SDRAM storage chip and a DDR storage chip.
Meanwhile, in order to overcome the defects, the invention also builds a gate control method based on high-risk vehicle identification, and the method comprises the step of using the gate control platform based on high-risk vehicle identification to open a return channel near the entrance of the expressway to facilitate the vehicle to return when the irregular cracks of the glass of the vehicle about to enter the expressway are detected.
In addition, in the gate control platform based on high-risk vehicle identification, the FLASH memory chip is a nonvolatile memory, and a memory cell block called a block can be erased and reprogrammed. The write operation of any FLASH device can only be performed in empty or erased cells, so in most cases, the erase must be performed before the write operation can be performed. While it is simple for a NAND device to perform an erase operation, NOR requires that all bits in the target block be written to 0 before an erase can be performed. Since erasing NOR devices is performed in blocks of 64-128 KB, the time for performing a write/erase operation is 5s, whereas erasing NAND devices is performed in blocks of 8-32 KB, which requires only 4ms at most to perform the same operation. The difference in block size when performing erasures further increases the performance gap between NOR and NADN, and statistics show that for a given set of write operations (especially when updating small files), more erase operations must be performed in NOR-based cells.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disk, and other various media capable of storing program codes.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A gate control platform based on high-risk vehicle identification, the platform includes:
coil induction mechanism sets up the underground at highway entrance, comprises square coil, ground wire casing and control panel, square coil's length is 2 meters and width and is 1 meter, buries underground in the ground wire casing for detect the vehicle of 2.5 meters length and 2 meters wide within ranges.
2. The gate control platform based on high-risk vehicle identification of claim 1, wherein:
in the coil induction mechanism, the control board is connected with the square coil and used for sending out a first detection command when a vehicle within a range of 2.5 meters in length and 2 meters in width is detected.
3. The high-risk vehicle identification based gate control platform of claim 2, wherein the platform further comprises:
the gate opening mechanism is connected with the second detection device, is used for opening the gate connected with the second detection device when receiving a crack identification instruction, and is also used for keeping the gate connected with the second detection device in a closed state when receiving a crack unidentified instruction;
the gate is arranged on the side surface of the highway entrance and used for closing a return channel on the side surface of the highway entrance;
the full-color camera is arranged above the coil induction mechanism, is connected with the control panel and is used for executing full-color camera shooting action on the environment above the ground where the coil induction mechanism is located when receiving a first detection command so as to obtain an image above the ground;
the data adjusting equipment is arranged above the coil induction mechanism, is connected with the full-color camera and is used for performing color index lifting processing on the received image above the ground for multiple times so as to obtain and output a corresponding data adjusting image;
the content processing equipment is connected with the data adjusting equipment and is used for executing the blur processing without the scaling transformation on the received data adjusting image so as to obtain and output a corresponding content processing image;
a point image restoration mechanism connected to the content processing device for executing a point image restoration operation based on optical characteristics of optical components of the full-color camera on the received content processing image to obtain a corresponding real-time restoration image;
the first detection device is connected with the point image restoration mechanism and used for identifying a glass imaging area in the instant restoration image based on glass imaging characteristics;
the second detection device is connected with the first detection device and used for sending out a crack identification instruction when the irregular edge exists in the glass imaging area and sending out a crack unidentified instruction when the irregular edge is not stored in the glass imaging area;
a property storage device connected to the first detection device and the full-color camera, respectively, for storing the glass imaging property and the optical property of the optical component of the full-color camera;
wherein the control board is further used for sending out a second detection command when the vehicle within the range of 2.5 meters long and 2 meters wide is not detected;
wherein, in the characteristic storage device, the glass imaging characteristic is a numerical range of gray values of pixel points constituting a glass imaging region.
4. The gate control platform based on high-risk vehicle identification of claim 3, wherein:
and the full-color camera is also used for stopping the full-color image pickup action executed on the environment above the ground where the coil induction mechanism is located when receiving the second detection command.
5. The gate control platform based on high-risk vehicle identification of claim 4, wherein:
the control panel is arranged in a control box under the ground at the entrance of the expressway, and the ground wire casing is 60 mm deep and filled with cement.
6. The high-risk vehicle identification based gate control platform of claim 5, wherein the platform further comprises:
the content storage chip is arranged on the integrated circuit board where the point image restoration mechanism is arranged, is connected with the point image restoration mechanism and is used for temporarily storing the output signal of the point image restoration mechanism;
the content storage chip is also used for temporarily storing the output signal of the point image restoration mechanism and the working state of the point image restoration mechanism.
7. The gate control platform based on high-risk vehicle identification of claim 6, wherein:
the content storage chip is also connected with the first detection equipment and is used for storing various configuration parameters of the first detection equipment;
wherein the content storage chip is further configured to store the output signal and the input signal of the first detection device.
8. The gate control platform based on high-risk vehicle identification of claim 7, wherein:
the content storage chip is also connected with the second detection equipment and is used for temporarily storing various configuration parameters of the second detection equipment.
9. The gate control platform based on high-risk vehicle identification of claim 8, wherein:
the content storage chip is also used for storing an output signal and an input signal of the second detection device;
the content storage chip is one of a FLASH memory, an SDRAM storage chip and a DDR storage chip.
10. A gate control method based on high-risk vehicle identification, the method comprising using the gate control platform based on high-risk vehicle identification according to any one of claims 1 to 9 to open a return passage near an entrance of a highway to facilitate vehicle return when an irregular crack of glass of a vehicle about to enter the highway is detected.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011265312.7A CN112813878B (en) | 2020-11-13 | 2020-11-13 | Gate control platform and method based on high-risk vehicle identification |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011265312.7A CN112813878B (en) | 2020-11-13 | 2020-11-13 | Gate control platform and method based on high-risk vehicle identification |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112813878A true CN112813878A (en) | 2021-05-18 |
| CN112813878B CN112813878B (en) | 2021-12-28 |
Family
ID=75853174
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011265312.7A Active CN112813878B (en) | 2020-11-13 | 2020-11-13 | Gate control platform and method based on high-risk vehicle identification |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112813878B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7345595B1 (en) * | 2006-03-31 | 2008-03-18 | Preferred Security Components, Inc Of Pa | Short driveway vehicle motion detector |
| CN201680894U (en) * | 2010-05-24 | 2010-12-22 | 上海同睿工程咨询有限公司 | Comprehensive monitoring device for traffic load of bridge |
| CN201917322U (en) * | 2010-12-20 | 2011-08-03 | 浙江省机电设计研究院有限公司 | High-precision device for automatically detecting length, width, and height of low-speed vehicle |
| CN207798229U (en) * | 2018-01-18 | 2018-08-31 | 浙江盘云交通设备有限公司 | System is persuaded to return in a kind of detection of weighing of Entry to motorway |
| CN209729030U (en) * | 2019-01-21 | 2019-12-03 | 广州珠江黄埔大桥建设有限公司 | Toll station vehicle overload persuades to return managing device |
-
2020
- 2020-11-13 CN CN202011265312.7A patent/CN112813878B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7345595B1 (en) * | 2006-03-31 | 2008-03-18 | Preferred Security Components, Inc Of Pa | Short driveway vehicle motion detector |
| CN201680894U (en) * | 2010-05-24 | 2010-12-22 | 上海同睿工程咨询有限公司 | Comprehensive monitoring device for traffic load of bridge |
| CN201917322U (en) * | 2010-12-20 | 2011-08-03 | 浙江省机电设计研究院有限公司 | High-precision device for automatically detecting length, width, and height of low-speed vehicle |
| CN207798229U (en) * | 2018-01-18 | 2018-08-31 | 浙江盘云交通设备有限公司 | System is persuaded to return in a kind of detection of weighing of Entry to motorway |
| CN209729030U (en) * | 2019-01-21 | 2019-12-03 | 广州珠江黄埔大桥建设有限公司 | Toll station vehicle overload persuades to return managing device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112813878B (en) | 2021-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Diakakis et al. | A systematic assessment of the effects of extreme flash floods on transportation infrastructure and circulation: The example of the 2017 Mandra flood | |
| DE102007059923B4 (en) | smart card | |
| WO2022007120A1 (en) | Road patching quantitative positioning data sending platform and method | |
| KR102501756B1 (en) | Apparatus and method for controlling entry breaker to prevent flooding of underpass | |
| CN106448171A (en) | Ponding road prediction method and device | |
| KR102404784B1 (en) | Parking managemnet system for enhancing safety of immersion | |
| Oguntoke et al. | Frequency of mine dust episodes and the influence of meteorological parameters on the Witwatersrand area, South Africa | |
| CN112813878B (en) | Gate control platform and method based on high-risk vehicle identification | |
| Sultana et al. | A study on the flood affected flexible pavements in Australia | |
| Takano et al. | New UK guidance on hydraulic actions on highway structures and bridges | |
| Chapman | Weather and climate risks to road transport | |
| Salas et al. | Modelling of wet muck entry at El Teniente for long-term planning | |
| KR102600103B1 (en) | System of predicting and reacting city flooding based on ai | |
| Lindenschmidt et al. | Preparing ice-jam flood outlooks for the lower reach of the Red River | |
| KR102429538B1 (en) | Apparatus and method for controlling floodgate | |
| Panici et al. | Assessing and mitigating risks to bridges from large wood using satellite imagery | |
| Maqsood et al. | Cost-effective mitigation strategies for residential buildings in Australian flood plains | |
| CN101783179B (en) | Erasing method for improving durability of grid-split flash memory | |
| Kool et al. | Spatiotemporal aspects in coastal multi-risk climate change decision-making: Wait, protect, or retreat? | |
| Kim-Soon et al. | Relationships between stormwater management and road tunnel maintenance works, flooding and traffic flow | |
| Reis et al. | Specifying seawall crest levels using a probabilistic method | |
| CN110365944A (en) | Monitoring method, device, equipment and the storage medium of sky top operation | |
| Kubo | Housing challenges in shrinking and aging Japanese cities | |
| CN103046768A (en) | Urban overpass planning construction method | |
| KR102547585B1 (en) | Inundation depth measurement device |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20211210 Address after: 210019 19th floor, building 1, No.18, Jiangdong Street, Jialing, Jianye District, Nanjing City, Jiangsu Province Applicant after: Nanjing Benyuan Intelligent Technology Co.,Ltd. Address before: 225300 609, 6th floor, building a, No. 26, Chengzhong Qingnian Road, Hailing District, Taizhou City, Jiangsu Province Applicant before: Taizhou REBIT Intelligent Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |