AU2020101260A4 - System and Method for Rescuing Whales Based on Big Data - Google Patents
System and Method for Rescuing Whales Based on Big Data Download PDFInfo
- Publication number
- AU2020101260A4 AU2020101260A4 AU2020101260A AU2020101260A AU2020101260A4 AU 2020101260 A4 AU2020101260 A4 AU 2020101260A4 AU 2020101260 A AU2020101260 A AU 2020101260A AU 2020101260 A AU2020101260 A AU 2020101260A AU 2020101260 A4 AU2020101260 A4 AU 2020101260A4
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- AU
- Australia
- Prior art keywords
- whales
- wireless
- whale
- rescuing
- video
- 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.)
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Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a system and method for rescuing whales based on big data, including a
plurality of video imagery monitoring points set on the seashore, the video imagery monitoring
points are multiple wireless cameras, which are connected through a wireless network which is
connected to a GPRS router, which is wirelessly connected to a wireless Ethernet switch through
the Internet, and the wireless Ethernet switch is connected to a video server and an application
server. The invention uses a wireless video monitoring network based on wireless webcams to
monitor whether there are whales on the seashore, giving early warning signals. It also gives the
good solution to rescuing if whales are stranded.
1
Description
System Based on Big Data for Rescuing Stranded Whale and Method Thereof
Technical field:
The present invention relates to the field of Internet of Things technique, and in particular to a
system and method for rescuing whales based on big data.
Arts of the Background
Whales, as aquatic mammals with lung breathing, are distributed across the world oceans; which
are divided into baleen and toothed one/odontoceti; the former are toothless with baleen and two
nostrils, including fin whales, blue whales, and humpback whales, grey whales, etc., whereas, the
latter has a nostril without baleen, including sperm whale, narwhal, killer whale, etc.
In the ocean, 60% oxygen of the oxygen is produced by phytoplankton, however, which is
threaten by the principle killer-zooplankton, which is killed and checked by the baleen whales;
whereas, odontoceti mainly feeds upon large mollusks that eat fish. If there is no whale in the
world, the marine eco-system will be disruptive and destroyed; the global eco-balance will be
imbalance, negatively impacting upon human survival and sustainability.
Since ancient times, humans have noticed a strange phenomenon that solo whale or whales in
large pods took risk of swimming to beaches, desperately flapping the water with their tails, and at
the same time producing desperate sirens, eventually stranded and died off when tide ebbing off.
According to records dated back as far as 1783, 18 sperm whales rushed to the ria of Elbe River in
Europe, where they were dying off. In the following year, another 32 sperm whales were stranded
in the Odiani Bay of France. In the 18th century, some ocean navigators found out the horrid
sepulcher on the beach around Pacific, where, piles of carrion and bones scattered across,.
On the day of 2018, a 12-meter-long whale weighing 18 tons was stranded in New South Wales,
Australia, it had never been moved because of her massive body, and it was buried in situ.
However, the severe rotten carcass attracted to incoming of many sharks, the whale was forced to
unearthed again.
Working from Monday morning until to lunchtime, the local government had the whale dug up
Matt Rogers, the local director of development and environment, told reporters:" We are satisfied
that the whole process is so smooth and are currently processing of the remaining liquids, which
will be pumped into a huge container and then discharged into the sewage treatment system." The
whale carcass were dismembered by excavators and hauled away.
For this excavation, the government had already paid $50,000 (about CNY 330,000), the beach
will be locked down in continuity until the whale and contaminated sand were completely
removed.
November 26, 2018, CNN cited from the local environmental protection officials that at least 145
pilot whales had run aground on a remote beach in New Zealand, and approximately half of them
had died off.
According to the Environmental Protection Agency of New Zealand, when a hiker discovered
these pilot whales on Stewart Island on the evening of the 24th, half of them were already dead,
and the remnant will be euthanized. The local officials said that it was impossible to save these
pilot whales under the current living condition of the remote location, he expressed the decision
was heartbreaking, the EPA also stated that the exact cause of the stranding is unknown yet, and
"disease, disorientation of swimming, geographical change, rapid tide and hunt by whale catchers"
are probably contribute to their stranding.
On March 5th, 2019, a heart-warming scenario took place on Stewart Island, New Zealand, about
whales were trapped in the shallow water, and the warm-hearted local residents jumped into the
sea, at together, pushing these whale out of the shallow water one by one, escorting them back to
the deep sea; thence, the local residents have made close observation for the beach, if discovering stranded whales, they would ignored the wind and waves, jumping into the water and pushing the whales to the deeper water.
Though the causes of whale going strand have been open, the emergent rescue to them could be
implemented before and after stranding; nevertheless, there is no technical solution available to
resolve the problem of stranding whale.
Summary of the invention:
The present invention aims to provide a system based on big data for rescuing stranded whale and
method thereof to overcome the deficiencies of the prior arts, which comprise plurality of video
imagery monitoring points installed on the seashores, the video imagery monitoring points
comprise plurality of wireless webcams, which are via wireless networks connected to a wireless
hard disk video recorder, which is connected to a GPRS router, which is also connected to a GPS
locator, which is via Wi-Fi connected to a wireless Ethernet switch, which is connected to a video
server and an application server .
Preferably, the wireless webcam is of 4G or 5G,
A method based on big data for rescuing stranded whale, comprises the following steps:
1. wireless webcams are installed at whereabouts of the seashores, around and in which, whales go
frequently stranded according to the historical records over 10 years;
2. a whale monitoring center will issue an early warning signal once whales are spotted in the
waters of the seashores;
3. once the webcams scan the whale going strand, the whale monitoring center will immediately
alert firefighters to rush to the site where the whale went aground;
4. enclose the stranded whale(s) with the flooding-proof inflatable tubes, forming and fortifying a
enclosure with sands, employing the water pump to suck the water from the nearby sea water,
discharging them into the enclosure until the spout of the whale(s) inside are submerged;
5. release off the whale(s) into the tiding sea by deflating and rolling back the tubes when the sea
tide rises.
Preferably, in steps 2 and 3: the presence of whales is monitored by personnel watching wall video monitors or by computer automation imagery recognition technique.
Preferably, the computer imagery recognition technique involves of artificial neural network, of
wavelet moment or of fractal feature.
Advantages of the invention:
based on wireless webcams to watch out by personnel on duty or automation monitoring of this
invention, once whale(s) on are spotted nearby or in the waters of the seashore, the whale
monitoring center will issue an early warning signal;. The measures of rescue to the whale on
stranding are also disclosed, it is of easy operability and a good solution ever since.
Embodiment
In order to more clearly illustrate the embodiments of the present invention or the technical
solutions in the prior art, the brief explanations for the companying drawings are presented;
obviously, the following descriptions to the companying drawings are only representing some
embodiments of the present invention, for those of ordinary skill in the art according to these
drawings, other drawings can also be obtained without paying any creative labor.
Fig 1 shows the system block diagram of the present invention.
Fig 2 shows the flowchart of the present invention method.
Fig 3 shows a schematic diagram of the flooding-proof panel for sucking water to rescue
whales of the present invention, in which:
( seawater (inlet of tube (Pump outlett of tube ( Oanel ( halee
Detailed description of the embodiments
The technical solutions in the embodiments of the present invention will be described clearly and
completely in connection with the drawings of the embodiments of the present invention;
obviously, only a part of the embodiments of the present invention are listed without all the
embodiments, the embodiments in the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative activities shall be covered within the protective scope of the present invention.
As shown in Figure 1, a system based on big data for rescuing stranded whale comprise multiple
video imagery monitoring points installed on the seashore, the video imagery monitoring points
are multiple wireless webcam 1, which are connected to a wireless hard disk via a wireless
network video recorder 2, which is connected to GPRS router 3, which is respectively connected
to GPS locator 4 and via the Wi-Fi connected to wireless Ethernet switch 5, which is connected to
video server 6 and application server 7; wireless webcam 1 is 4G or 5G wireless camera. wireless
hard disk recorder 2 is a common wireless hard disk recorder on the marketplace, such as wireless
monitoring host NVR 7804 N-K1/W with lTB hard disk of HIK-VISION or 4-way wireless
network hard disk DVR of Intelligent Tech, GPRS router 3, GPS locator 4, and wireless Ethernet
switch 5 are also general products on the market, without limit to a designated model and nor
enumerating hereby.
When the system is in operation, the wireless webcams devised along the seashore will monitor
recorded video images, if there will be whale(s) showing up, and the collected video data will be
inputted into the wireless hard disk recorder 2, which, via the GPRS router 3, will transmit to the
Ethernet switch 5 in distance, eventually, these images, via the video server 6 will be displayed
on the TV wall or the video matrix for discovering the whales appearance by personnel on duty or
by automation monitoring; the application server 7 shall analyze and stores relevant data about the
seasons of, of time, of climate, rendezvous of whale(s) frequenting, for instance.
The above-mentioned communication equipments and apparatus are provided with electrical
power by the photovoltaic panel installed on the racks, because it is uneconomical to erect power
transmission lines in these outlying areas of the seashore.
As shown in Figure 2, a system based on big data for rescuing stranded whale
1 wireless webcams are installed at whereabouts of the seashores, around and in which, whales go
frequently stranded according to the historical records over 10 years;
2. a whale monitoring center will issue premonitory warning signals once whales are spotted in the
waters of the seashores;
3. once the webcams scan the whales goes strand, the whale monitoring center will immediately
alert firefighters to rush to the site where the whale went strand;
4. inflate the flooding-proof tubes and enclose the stranded whale(s) with the tubes, forming and
fortifying a enclosure with sands, employing the water pump to suck the water from the nearby
sea water into the enclosure until the spout of the whale(s) inside are submerged;
5. release off the whale(s) into the flooding tide by deflating and rolling back the tubes to the
firefighting vehicle as soon the flood tide comes.
wherein, if the whale is occurred to the seashore is monitored by personnel on duty checking the
video wall or by automatic computer image recognition technique, which includes artificial neural
network technique, wavelet moment technique or fractal feature technique.
The inflatable flooding-proof panels of Denilco, using the state-of-art in the world as tube for
enclosing the stranded whales according to different models of D50, D75 and D100, which are
able to contain floods up to 50, 75, 100 cm respectively as "makeshift flooding-proof rigs for
replacing sandbags".
The following briefly describes the working mechanism of Denilco, the inflatable flooding-proof
panel used in this embodiment, which is composed of multiple sections of inflatable tubes, capable
of building up a temporary flood barrier on asphalt roads, grasslands and even gravel pavements
riverside, even low-lying areas and etc., being widely applied in agriculture, husbandry and
fishing with excellent fighting flood effects.
As the unique flood fighting rigs in the world according to the principle of book end, the
flooding-proof panel of Denilco is smartly designed for turning itself into assistant force, the
weight of flood itself is used as anchorage pressing upon the inflatable tube. If lying down on the
ground, the outstretching pads of the inflatable tube faces towards flooding fronts, as the flood is
rushing on, as the water pressure upon the pads is increasing, the pads will grip the ground surface
more firmly, easily blocking off floods. It is easy to install only if using an air pump to inflate the
Denilco flooding-proof tube, as usual, it needs about 5 minutes for inflating D100 of Denilco,
which will cost an hour by two people for the convention sandbags as flooding-proof wall at
length of 1 meter and height of 75 cm high, whereas D75 can be set up to as long as 60 meters,
with more than 60 times of efficiency, moreover, the flooding-proof wall of the sandbags weighs
as much as to 700 kg for hauling and handling by comparing to about 5 kg for one segment of D75.
The flooding-proof tube of Denilco could be rapidly erected, which saves not only prime time for
the disaster relief but considerable costs of manpower for sandbags and their occupying space; the
time for deflating is equivalent to that for inflating , and exerting pressure by manual power will
speed up deflating !
In connection with the Denilco flooding-proof tube and wireless telecommunication equipments,
based on big data, the present invention is disclosed the system based on big data for rescuing
whale whose number is on gradual decreasing. The above are only the preferred embodiments of
the present invention, however, they are not confined to the limit of the present invention, and any
modification, equivalent replacement and improvement, etc. made within the spirit and principle
of the present invention should be covered in the protective scope of the present invention.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2020/095783 WO2021248442A1 (en) | 2020-06-12 | 2020-06-12 | Big-data-based system and method for saving whales |
AUPCT/CN2020/095783 | 2020-06-12 |
Publications (1)
Publication Number | Publication Date |
---|---|
AU2020101260A4 true AU2020101260A4 (en) | 2020-08-13 |
Family
ID=71949514
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AU2020101260A Ceased AU2020101260A4 (en) | 2020-06-12 | 2020-07-05 | System and Method for Rescuing Whales Based on Big Data |
Country Status (3)
Country | Link |
---|---|
AU (1) | AU2020101260A4 (en) |
WO (1) | WO2021248442A1 (en) |
ZA (1) | ZA202109727B (en) |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105301741A (en) * | 2015-11-24 | 2016-02-03 | 南阳师范学院 | High-definition fog-passing zoom lens for network video monitoring |
CN207517193U (en) * | 2017-11-20 | 2018-06-19 | 华东交通大学 | A kind of intelligent traffic light based on sensing network |
CN208833295U (en) * | 2018-10-31 | 2019-05-07 | 广州顶新时代电子系统科技有限公司 | Mobile target arrangement for detecting around a kind of coastline |
CN210297758U (en) * | 2019-07-19 | 2020-04-10 | 魏伟 | Vehicle overspeed monitoring system based on Internet of things |
-
2020
- 2020-06-12 WO PCT/CN2020/095783 patent/WO2021248442A1/en active Application Filing
- 2020-07-05 AU AU2020101260A patent/AU2020101260A4/en not_active Ceased
-
2021
- 2021-11-29 ZA ZA2021/09727A patent/ZA202109727B/en unknown
Also Published As
Publication number | Publication date |
---|---|
WO2021248442A1 (en) | 2021-12-16 |
ZA202109727B (en) | 2022-08-31 |
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FGI | Letters patent sealed or granted (innovation patent) | ||
MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |