WO2021248442A1

WO2021248442A1 - Big-data-based system and method for saving whales

Info

Publication number: WO2021248442A1
Application number: PCT/CN2020/095783
Authority: WO
Inventors: 周连惠
Original assignee: 周连惠
Priority date: 2020-06-12
Filing date: 2020-06-12
Publication date: 2021-12-16
Also published as: AU2020101260A4; ZA202109727B

Abstract

A big-data-based system and method for saving whales. The system comprises a plurality of video image monitoring points provided on a coastline, wherein the video image monitoring points are a plurality of wireless cameras (1). The plurality of wireless cameras (1) are connected to a wireless hard disk video recorder (2) by means of a wireless network; the wireless hard disk video recorder (2) is connected to a GPRS router (3); the GPRS router (3) is further connected to a GPS locator (4); the GPRS router (3) is wirelessly connected to a wireless Ethernet switch (5) by means of the Internet; and the wireless Ethernet switch (5) is connected to a video server (6) and an application server (7). By means of the system, whether a whale appears on a coastline can be manually or automatically detected by means of a wireless video monitoring network composed of wireless cameras; early warning information can be given in advance; rescue measures to be taken when a whale is stranded are given, and the rescue measures have a good operability; and a good solution for solving the problem of whale stranding is provided.

Description

System and method for saving whales based on big data

Technical field:

The invention relates to the technical field of the Internet of Things, in particular to a system and method for saving whales based on big data.

Background technique:

Technical field:

Background technique:

Whales, as aquatic mammals that breathe with their lungs, are distributed in all oceans of the world; they are divided into baleen whales and toothed whales. The former has toothless baleen and two nostrils, including fin whales, blue whales, and humpback whales. , Gray whales, etc. The latter have teeth and one nostril without baleen, including sperm whales, narwhals, killer whales, etc.

60% of the oxygen is produced by phytoplankton in the ocean; baleen whales can eliminate phytoplankton's strong enemy-zooplankton; toothed whales eat large mollusks that feed on fish, so there are no whales in the world, which will seriously damage the marine ecology The environment, in turn, affects the global ecological balance, and also has an adverse effect on the survival and development of mankind.

Since ancient times, humans have noticed a strange phenomenon, often singly or in groups of whales, venture to the beach, and then desperately beat the water with their tails and howls of despair, and finally stranded and died at low tide. . According to records, as far back as 1783, 18 sperm whales rushed to the mouth of the Elbe in Europe, where they were waiting to die. The following year, another 32 sperm whales ran aground in Audi Aini Bay, France. In the 18th century, some navigators found the terrifying whale cemetery in Tass, piles of carrion and bones scattered on the beach, presenting a miserable scene.

On Sunday, 2018, a whale 12 meters long and weighing 18 tons ran aground in New South Wales, Australia. It has not been moved because of its size. At that time, the body was buried on the spot. However, the serious decay of the body attracted many sharks, and the whale was dug out again. The local government started working on Monday morning and had dug up the whale by lunch time. Local Development and Environment Director Matt Rogers told reporters: "We are satisfied that the whole process went so smoothly, and we are currently processing the remaining liquids." "These liquids will be pumped into a huge container and then discharged into sewage treatment. System." The whale carcass was cut into pieces by an excavator and then transported away.

For this excavation work, the government has paid 50,000 U.S. dollars (about 330,000 yuan). The beach will remain closed until the whales and contaminated sand are completely removed.

More than 100 whales stranded on New Zealand beach, half dead and half to be euthanized

CNN quoted local environmental officials on November 26, 2018. At least 145 sperm whales stranded on a remote beach in New Zealand, and about half of them have died.

According to the New Zealand Environmental Protection Agency, a hiker found these sperm whales on Stewart Island on the evening of the 24th. Half of them had died at that time, and the remaining sperm whales would be euthanized. Local officials said that due to the remote location, it is impossible for the current living environment to save these sperm whales. He said the decision was "heartbreaking." The EPA also stated that the exact reason for the stranding is not yet clear, and that "disease, wrong marching direction, geographic changes, rapid ebb and chasing by whalers" may all be factors affecting their stranding.

On March 5, 2019, a heart-warming scene took place on Stewart Island, New Zealand: about 30 whales were trapped in shallow water, and kind local residents jumped into the sea one after another, pushed them out of the shallow water one by one, and escorted them back to the deep sea. . After that, local residents watched the beach closely and discovered this stranded group in time. They ignored the wind and waves, jumped into the water, and pushed the whales to a deeper place.

The cause of the whale stranding is still inconclusive, but emergency care before and after the whale stranding can be done. However, there is no technical solution to solve the whale stranding problem.

Summary of the invention:

The purpose of the present invention is to provide a system and method for saving whales based on big data to solve the deficiencies of the prior art. The present invention is implemented by the following technical solutions: a system for saving whales based on big data, including multiple video image monitoring points set on the coastline, the video image monitoring points are multiple wireless cameras, and the multiple wireless cameras are wireless The wireless hard disk video recorder is connected to a wireless hard disk video recorder, the wireless hard disk video recorder is connected to a GPRS router, the GPRS router is also connected to a GPS locator, the GPRS router is connected to a wireless Ethernet switch wirelessly via the Internet, and the wireless Ethernet switch is connected to a video server and an application server .

Preferably, the wireless camera is a 4G or 5G wireless camera.

A method to save whales based on big data, including the following steps:

Step 1. According to many years (more than 10 years) of historical data, select the area where the whale is stranded and set up a wireless camera;

Step 2. At the Whale Monitoring Center, when whales are found in coastal waters, an early warning signal is issued;

Step 3. Once the video surveillance detects that the whale is stranded, notify the firefighters to rush to the place where the whale stranded as quickly as possible;

Step 4. Surround the stranded whale with an inflatable flood control board, and use a sea sand pump to suck water from the nearby sea area into the flood control board enclosure until the water surface has no whale spray hole;

Step 5. When the sea is high tide, remove the flood protection board and put the whale back into the sea.

Preferably, in the step 2 and step 3: monitoring whether the whale appears is monitored by a manual watch monitoring video wall or automatically monitored by computer image recognition technology.

Preferably, the computer image recognition technology includes artificial neural network technology, wavelet moment technology or fractal feature technology.

The advantages of the present invention:

The invention manually or automatically monitors whether there are whales on the coastline through a wireless video monitoring network composed of wireless cameras, and can give early warning information in advance. It also gives the rescue measures taken by the whales when they are stranded, which has good operability and provides a good solution to the problem of whales stranding.

Description of the drawings:

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work.

Figure 1 is a system block diagram of the present invention.

Figure 2 is a flow chart of the method of the present invention.

Figure 3 is a schematic diagram of the flood control board of the present invention collecting water to rescue whales.

detailed description:

The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

As shown in Figure 1, a system for saving whales based on big data includes multiple video image monitoring points set up on the coastline. The video image monitoring points are multiple wireless cameras 1, and multiple wireless cameras 1 are connected to a wireless hard disk through a wireless network. Video recorder 2, wireless hard disk video recorder 2 is connected to GPRS router 3, GPRS router 3 is also connected to GPS locator 4, GPRS router 3 is wirelessly connected to wireless Ethernet switch 5 through the Internet, and wireless Ethernet switch 5 is connected to video server 6 and application server 7. Among them, the wireless camera 1 is a 4G or 5G wireless camera. Wireless hard disk video recorder 2 is a common wireless hard disk video recorder on the market, such as Hikvision wireless monitoring host NVR 7804N-K1/W, with 1TB hard disk. Or Jiu'an 4-channel wireless network hard disk video recorder, etc.; GPRS router 3, GPS locator 4, wireless Ethernet switch 5 are also common products on the market, not limited to a certain model, and will not be listed here.

When the system is working, the wireless cameras installed along the coastline monitor whether there are video images of whales, and store the collected video data in the wireless hard disk video recorder 2. The wireless hard disk video recorder 2 transmits the video data to the remote wireless through the GPRS router 3. The Ethernet switch 5 finally manages the monitoring image through the video server 6, and plays it on the TV wall or video matrix, and manually or automatically monitors whether the whale appears. The application server 7 analyzes and stores related data about whales' appearance, such as: season, time, climate, location, etc. where whales frequently appear.

The above-mentioned communication equipment/instruments can be powered by photovoltaic panels installed on their brackets, because these areas are usually relatively remote and it is not economical to erect transmission lines.

As shown in Figure 2, the method for saving whales based on big data of the present invention includes the following steps:

Step 1. According to historical data, select the area where the whale is stranded and set up a wireless camera;

Step 4. Fill the flood control board with air, use it to surround the stranded whale, and use a water pump to suck water into the flood control board enclosure until the water surface has no whale spray hole;

Step 5. When the sea water is high tide, release the gas in the flood protection board, take it back to the ambulance, and release the whale back to the sea.

Among them, the monitoring of whether whales appear is through manual monitoring of video walls or automatic monitoring through computer image recognition technology. Computer image recognition technology includes artificial neural network technology, wavelet moment technology or fractal feature technology. The flood protection board adopts the world's most innovative flood protection equipment—Denilco inflatable flood protection board. According to the different models of D50, D75 and D100, it can contain floods up to 50, 75, and 100 cm, respectively, and become a "temporary flood protection device to replace sandbags." It has a wide range of applications. It can be used on gravel roads and agricultural, animal husbandry and fishery environments.

The following briefly describes the principle of the inflatable flood control board used in this embodiment:

This embodiment adopts Denilco flood control board, which is a temporary flood control barrier composed of multiple inflatable pipes. It can be applied to most road environments such as asphalt roads, grasslands and even gravel roads. Riverside or even low-lying areas can achieve excellent flood barrier effects. Denilco flood control board uses the world's unique flood control intelligent design principle, while Denilco flood control board will cleverly turn floods into assistance, using bookends principles and using flood itself The weight is used as the anchor pressure to suppress the inflatable tube. When laying, the floor mat extended by the inflatable tube is only required to face the flood surface. When the flood hits, as the amount of water pressed on the floor mat increases, the floor mat is pressed more firmly On the ground, the effect of blocking floods can be easily achieved.

Easy to install, just use an air pump to inflate the Denilco flood protection board. Generally speaking, the D100 takes about 5 minutes. If two people are used for the same installation in one hour, if the traditional sandbag is used, only 1 meter and 75 cm can be completed. High flood wall, but D75 can be set up to 60 meters, the efficiency is 60 times higher! In addition, if a flood wall with a height of 1 meter and 75 cm is laid, it takes as much as 700 kilograms in terms of sandbags, while a D75 is only about 5 kilograms. The installation of the Denilco flood protection board not only saves precious time, but also makes it more disaster. Measures to grab the best golden time and save a lot of manpower and storage space for transporting sandbags. The natural deflation time is equivalent to the inflation time, and artificial pressure will make the exhaust faster!

Combining Denilco flood control boards with big data and wireless transmission communication equipment, the present invention provides a system and method for saving whales based on big data, which is used to rescue the declining number of whales.

The foregoing descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the present invention. Within the scope of protection.

Claims

A system for saving whales based on big data, which is characterized by comprising a plurality of video image monitoring points arranged on the coastline, the video image monitoring points being a plurality of wireless cameras (1), the plurality of wireless cameras (1) The wireless hard disk video recorder (2) is connected via a wireless network, the wireless hard disk video recorder (2) is connected to a GPRS router (3), the GPRS router (3) is also connected to a GPS locator (4), and the GPRS router (3) passes The Internet is wirelessly connected to a wireless Ethernet switch (5), and the wireless Ethernet switch (5) is connected to a video server (6) and an application server (7).
The system for saving whales based on big data according to claim 1, wherein the wireless camera (1) is a 4G or 5G wireless camera.
A method for saving whales based on big data is characterized in that it includes the following steps:

Step 1. According to historical data, select the area where the whale is stranded and set up a wireless camera;

Step 2. At the Whale Monitoring Center, if whales are found in the coastal waters, an early warning signal is issued;

Step 3. Once the video surveillance detects that the whale is stranded, notify the firefighters to rush to the whale stranded area as quickly as possible;

Step 4. Surround the stranded whale with an inflatable flood control board, and use a water pump to suck water into the flood control board enclosure until the water surface has no whale spray hole;

Step 5. When the sea is high tide, remove the flood protection board and put the whale back into the sea.
The method for saving whales based on big data according to claim 3, characterized in that, in the step 2 and step 3: monitoring whether the whale appears is monitored by manual watch monitoring video wall or automatic monitoring by computer image recognition technology .
The method for saving whales based on big data according to claim 4, wherein the computer image recognition technology includes artificial neural network technology, wavelet moment technology or fractal feature technology.