CN116543529A - Disaster early warning prevention and control system and method - Google Patents
Disaster early warning prevention and control system and method Download PDFInfo
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- CN116543529A CN116543529A CN202310574441.1A CN202310574441A CN116543529A CN 116543529 A CN116543529 A CN 116543529A CN 202310574441 A CN202310574441 A CN 202310574441A CN 116543529 A CN116543529 A CN 116543529A
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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- G08B21/10—Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes
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Abstract
The invention provides a disaster early warning prevention and control system and a disaster early warning prevention and control method, wherein the system comprises the following steps: the sensor detects environmental data; shooting a video by a camera; when detecting that the environmental data is abnormal and the environmental data of the adjacent monitoring area is abnormal, the control center sends an early warning signal to the unmanned aerial vehicle; receiving field data returned by the unmanned aerial vehicle, and generating an alarm signal when the disaster actually occurs at the early warning site through the field data; the unmanned aerial vehicle flies to the early warning place to collect field data and transmits the field data back to the control center. The disaster early warning prevention and control system establishes an autonomous site confirmation and processing mechanism. When an abnormal situation occurs, the unmanned aerial vehicle or the special robot is automatically dispatched to the site for confirmation, and effective information is timely returned for the treatment department to make decisions. When a disaster occurs, alarm information is sent to a related external system at the first time, so that the enlargement of abnormal conditions caused by artificial reasons is avoided, the processing efficiency of the abnormal conditions is effectively improved, and the damages to personnel and property on site are reduced.
Description
Technical Field
The invention belongs to the technical field of environmental monitoring, and particularly relates to a disaster early warning prevention and control system and method.
Background
Disaster is a general term for things that can have destructive effects on humans and environments in which humans live. Because the disaster threatens personal safety and property safety, rescue should be carried out as soon as possible when the disaster occurs, and loss caused by personal safety and property safety is reduced.
At present, when a disaster occurs, the disaster is mainly performed in a manual alarm mode, alarm information is sent to an external rescue system manually, and the external rescue system waits for on-site rescue, so that the mode has the defects that: the disasters usually occur or are spread to a certain severity and can be perceived by people, so that the disaster treatment efficiency is seriously reduced, and the damages of personnel and property on site cannot be reduced better.
Disclosure of Invention
Aiming at the defects in the prior art, the disaster early warning prevention and control system and the disaster early warning prevention and control method provided by the invention effectively improve the processing efficiency of abnormal conditions and reduce the damage of personnel and property on site.
In a first aspect, a disaster early warning prevention and control system includes:
a plurality of sensors: are arranged on different monitoring areas; the sensor is used for detecting environment data of the monitoring area;
a plurality of cameras: are arranged on different monitoring areas; the camera is used for shooting video of the monitoring area;
and the control center: the camera is connected with the sensor; the control center is used for receiving the environment data and the video; when the environmental data is abnormal, the environmental data of the adjacent monitoring area is read, and when the environmental data of the adjacent monitoring area is abnormal, a video corresponding to the monitoring area with the abnormal environmental data is called and displayed, an early warning signal containing an early warning place is generated, and the early warning signal is sent to the unmanned aerial vehicle; the control center is also used for receiving the field data returned by the unmanned aerial vehicle, generating an alarm signal when the disaster actually occurs at the early warning place through the field data, and sending the alarm signal to an external system;
unmanned aerial vehicle: is connected with a control center; the unmanned aerial vehicle is used for flying to an early warning place to collect field data when receiving the early warning signal, and returning the field data to the control center.
Further, the control center is specifically configured to:
a: when the environmental data is abnormal, defining a monitoring area of the environmental data as an early warning area;
b: respectively acquiring the distance between the early warning area and the adjacent monitoring area;
c: calculating the product of the distance and the environmental data of the adjacent monitoring areas respectively;
d: judging whether a product larger than a minimum threshold exists or not, if so, determining that the environmental data of the adjacent monitoring area is abnormal, defining the adjacent monitoring area as an early warning area, and repeatedly executing the step B; if not, integrating all the early warning areas to obtain an early warning map.
Further, the control center is specifically configured to:
sending alarm signals, early warning maps and field data to related rescue departments;
sending an alarm signal to an associated insurance company;
generating a tracking instruction containing a tracking location and sending the tracking instruction to the unmanned aerial vehicle;
the received tracking stopping instruction is sent to the unmanned aerial vehicle;
the unmanned aerial vehicle is also used for:
when a tracking instruction is received, flying to a tracking place to collect field data, and returning the field data to a control center;
when a stop tracking instruction is received, shooting is stopped and returned.
Further, the control center is further configured to:
crawling a webpage by using a crawler to obtain disaster original data;
preprocessing disaster original data to obtain standard data;
analyzing the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster; the early warning standard comprises warning thresholds of various grades;
when the on-site data meets an alarm threshold, judging that the disaster actually occurs at the early-warning place, and setting the grade of the disaster as the grade corresponding to the alarm threshold.
Further, the disaster categories include weather, earthquake, living things, sea, environmental pollution, fire, traffic.
In a second aspect, a disaster early warning prevention and control method includes:
the sensor detects environmental data of a monitoring area;
shooting a video of a monitoring area by a camera;
the control center receives the environment data and the video; when the environmental data is abnormal, the environmental data of the adjacent monitoring area is read, and when the environmental data of the adjacent monitoring area is abnormal, a video corresponding to the monitoring area with the abnormal environmental data is called and displayed, an early warning signal containing an early warning place is generated, and the early warning signal is sent to the unmanned aerial vehicle;
when receiving the early warning signal, the unmanned aerial vehicle flies to an early warning place to collect field data, and the field data is returned to a control center;
the control center receives the field data returned by the unmanned aerial vehicle, and generates an alarm signal and sends the alarm signal to an external system when the disaster actually occurs at the early warning place through the field data.
Further, the method for judging whether the environment data of the monitoring area is abnormal comprises the following steps:
a: when the environmental data is abnormal, defining a monitoring area of the environmental data as an early warning area;
b: respectively acquiring the distance between the early warning area and the adjacent monitoring area;
c: calculating the product of the distance and the environmental data of the adjacent monitoring areas respectively;
d: judging whether a product larger than a minimum threshold exists or not, if so, determining that the environmental data of the adjacent monitoring area is abnormal, defining the adjacent monitoring area as an early warning area, and repeatedly executing the step B; if not, integrating all the early warning areas to obtain an early warning map.
Further, after the control center generates the alarm signal, the method further comprises:
the control center sends alarm signals, early warning maps and field data to related rescue departments;
the control center sends an alarm signal to the related insurance company;
the control center generates a tracking instruction containing a tracking place and sends the tracking instruction to the unmanned aerial vehicle;
when the unmanned aerial vehicle receives the tracking instruction, the unmanned aerial vehicle flies to a tracking place to collect field data, and the field data is returned to a control center;
the control center sends the received tracking stopping instruction to the unmanned aerial vehicle;
and when the unmanned aerial vehicle receives the tracking stopping instruction, stopping shooting and returning.
Further, the method further comprises the following steps:
the control center uses a crawler to crawl the webpage so as to obtain disaster original data;
the control center preprocesses disaster original data to obtain standard data;
the control center analyzes the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster; the early warning standard comprises warning thresholds of various grades;
when the control center detects that the on-site data meets an alarm threshold, judging that the disaster actually occurs at the early-warning place, and setting the grade of the disaster as the grade corresponding to the alarm threshold.
Further, the disaster categories include weather, earthquake, living things, sea, environmental pollution, fire, traffic.
According to the technical scheme, the disaster early warning prevention and control system provided by the invention establishes an autonomous site confirmation and processing mechanism. When an abnormal situation occurs, the unmanned aerial vehicle or the special robot is automatically dispatched to the site for confirmation, and effective information is timely returned for the treatment department to make decisions. When a disaster occurs, alarm information is sent to a related external system at the first time, so that the enlargement of abnormal conditions caused by artificial reasons is avoided, the processing efficiency of the abnormal conditions is effectively improved, and the damages to personnel and property on site are reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
Fig. 1 is a block diagram of a disaster early warning prevention and control system according to an embodiment.
Fig. 2 is a flowchart of a disaster early warning prevention and control method according to an embodiment.
Fig. 3 is a flowchart of a method for determining whether environment data is abnormal according to an embodiment.
Fig. 4 is a flowchart of a method for tracking a drone according to an embodiment.
Fig. 5 is a flowchart of a disaster prediction method according to an embodiment.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention. It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Examples:
referring to fig. 1, the disaster early warning prevention and control system includes:
a plurality of sensors 1: are arranged on different monitoring areas; the sensor 1 is used for detecting environmental data of a monitoring area;
a plurality of cameras 2: are arranged on different monitoring areas; the camera 2 is used for shooting video of the monitoring area;
control center 3: is connected with the sensor 1 and the camera 2; the control center 3 is used for receiving the environment data and the video; when the environmental data is abnormal, the environmental data of the adjacent monitoring area is read, and when the environmental data of the adjacent monitoring area is abnormal, a video corresponding to the monitoring area with the abnormal environmental data is called and displayed, an early warning signal containing an early warning place is generated, and the early warning signal is sent to the unmanned aerial vehicle; the control center 3 is also used for receiving field data returned by the unmanned aerial vehicle, generating an alarm signal when the disaster actually occurs at the early warning place through the field data, and sending the alarm signal to an external system;
unmanned aerial vehicle 4: is connected with the control center 3; the unmanned aerial vehicle 4 is used for flying to an early warning place to collect field data when receiving an early warning signal, and returning the field data to the control center 3.
In this embodiment, the disaster early warning prevention and control system may set a plurality of sensors 1 and cameras 2 in a monitoring area where disaster prevention and early warning is required, where the sensors 1 and the cameras 2 may be connected to the control center 3 in a wired or wireless manner. For example, a temperature sensor 1, a light sensor 1, a water level sensor 1, and the like are provided in the monitoring area. The control center 3 receives the environmental data and video of each monitoring area, and when detecting that the environmental data returned by the sensor 1 in a certain monitoring area is abnormal, automatically compares the environmental data returned by the sensor 1 in an adjacent monitoring area, so that whether the area has disaster can be further confirmed through the adjacent area, the error is automatically corrected, and the possibility of false alarm is further reduced. For example, when detecting that the temperature of the monitored area a increases, the control center 3 may cross-compare the data of the temperature, the light sensation, and the like of the area (for example, the monitored area B, C, and the like) near the monitored area a, and further determine whether the monitored area a is in fire. When the environment data of the adjacent monitoring area is abnormal, the situation that the monitoring area is truly disaster is indicated. For example, when the temperature and light sensation of the monitoring area B or C are abnormal, it is indicated that the disaster situation of the monitoring area a does occur. At this time, the control center 3 can retrieve and display the video corresponding to the monitoring area where the disaster occurs, so that the manager can perform the next emergency treatment according to the displayed video. For example, the control center 3 retrieves the video captured by the camera 2 located in the monitoring area a, displays the video on a screen, and gives an early warning. When the control center 3 performs early warning, the generated early warning signal can be sent to the unmanned aerial vehicle 4, and the unmanned aerial vehicle 4 flies to an early warning place according to the early warning signal to collect field data and returns the field data to the control center 3. Wherein the drone 4 includes various mechanical devices based on wireless or wired control and operated within the machine by a non-human operator, including but not limited to flying devices, non-human ride control devices or vehicles including underwater robots for underwater detection and rescue, and the like. The unmanned aerial vehicle 4 can also be provided with a sensor 1 and a camera 2 for acquiring field data. For example, the pre-warning signal generated by the control center 3 includes a monitoring area a, the unmanned aerial vehicle 4 flies to the monitoring area a to collect field data, wherein the control center 3 can control the unmanned aerial vehicle 4 closest to the monitoring area a to fly to the field. And the control center 3 alarms when judging that the disaster actually occurs at the early warning place according to the field data returned by the unmanned aerial vehicle 4. For example, after the control center 3 confirms the disaster situation through the unmanned plane 4, the control center alarms to a corresponding external system, for example, alarms to the 119 command center and informs the place where the alarm needs to be given, and can also provide a field picture or video to the 119 command center, so that the 119 command center can conveniently confirm the field situation, and a more proper team can be dispatched for rescue. Rescue may also be called 120, for example. And reporting a case to the bound insurance company, so that the corresponding insurance company can arrive at the site in time conveniently, and confirming the loss. The control center 3 may also automatically report treatment information to the superior supervisory management platform including, but not limited to, live pictures or videos, rescue pictures or videos, and the like. In addition, when the unmanned aerial vehicle 4 is dispatched to execute tasks, the operation is circulated all the time, and when the energy carried by the unmanned aerial vehicle reaches a return threshold value, the unmanned aerial vehicle returns to the navigation, and another unmanned aerial vehicle is automatically called to take over. And returning and terminating the operation when the unmanned aerial vehicle receives a termination instruction initiated by the advanced authority user, wherein the advanced authority user can be a supervision user.
The disaster early warning prevention and control system establishes an autonomous site confirmation and processing mechanism. When an abnormal situation occurs, the unmanned aerial vehicle or the special robot is automatically dispatched to the site for confirmation, and effective information is timely returned for the treatment department to make decisions. When a disaster occurs, alarm information is sent to a related external system at the first time, so that the enlargement of abnormal conditions caused by artificial reasons is avoided, the processing efficiency of the abnormal conditions is effectively improved, and the damages to personnel and property on site are reduced.
Further, in some embodiments, the control center 3 is specifically configured to:
a: when the environmental data is abnormal, defining a monitoring area of the environmental data as an early warning area;
b: respectively acquiring the distance between the early warning area and the adjacent monitoring area;
c: calculating the product of the distance and the environmental data of the adjacent monitoring areas respectively;
d: judging whether a product larger than a minimum threshold exists or not, if so, determining that the environmental data of the adjacent monitoring area is abnormal, defining the adjacent monitoring area as an early warning area, and repeatedly executing the step B; if not, integrating all the early warning areas to obtain an early warning map.
In this embodiment, the control center 3 selects the adjacent monitoring area of the early warning area, and may select the distance between the early warning area and the adjacent monitoring area in combination with the environmental data. For example, assuming that the environmental data of the monitoring area a is abnormal, the monitoring area a is defined as an early warning area. At this time, the distances between the other monitoring areas and the monitoring area a are calculated, for example, assuming that the adjacent monitoring area is defined as an area within 10km of the early warning area, the adjacent monitoring area of the monitoring area a is the monitoring area B, C, D, and the distances between the monitoring area B, C, D and the monitoring area a are calculated to be 8km, 10km and 5km, respectively. Meanwhile, the temperature of the monitoring area B, C, D is 32 ℃, 30 ℃ and 80 ℃ respectively, then the products of the distances and the temperatures are calculated respectively to obtain 256, 300 and 400, the minimum threshold value is assumed to be 390, the environment data of the monitoring area D is defined at the moment to be abnormal, the monitoring area D is set to be an early warning area, the steps B-D are repeated, the adjacent monitoring areas of the monitoring area D are also checked to be abnormal, and therefore the monitoring areas with all the abnormal environment data can be sequentially checked. Because the monitoring area A is supposed to actually generate a fire disaster, the temperature of the area closer to the monitoring area A is higher, when the environmental data is abnormal, the method fully considers the distance between the monitoring area A and the adjacent monitoring area and the environmental data of the adjacent monitoring area, and when the environmental data of the adjacent monitoring area closer to the monitoring area reaches a very high value or the environmental data of the adjacent monitoring area farther from the monitoring area reaches a higher value, the environmental data of the adjacent monitoring area is considered to be abnormal. The control center 3 integrates all the pre-warning areas to obtain a pre-warning map, for example, the pre-warning map comprises a monitoring area a and a monitoring area D.
Further, in some embodiments, the control center 3 is specifically configured to:
sending alarm signals, early warning maps and field data to related rescue departments;
sending an alarm signal to an associated insurance company;
generating a tracking instruction containing a tracking location and sending the tracking instruction to the unmanned aerial vehicle 4;
the received tracking stopping instruction is sent to the unmanned aerial vehicle 4;
the unmanned aerial vehicle 4 is also configured to:
when a tracking instruction is received, flying to a tracking place to collect field data, and returning the field data to the control center 3;
when a stop tracking instruction is received, shooting is stopped and returned.
In this embodiment, the control center 3 may send an alarm signal, an early warning map, and field data to a related external system (i.e., rescue department) when performing an alarm. The control center 3 can also control the unmanned aerial vehicle 4 to track in the whole course, and after disaster confirmation, a tracking instruction is sent out to control the unmanned aerial vehicle 4 to carry out on-site tour shooting. Before the unmanned aerial vehicle 4 reaches the return threshold value, another unmanned aerial vehicle 4 can be automatically called to take over, after the handover is completed, the automatic return energy supplementing is performed, the circulation is performed until the disaster relief work is completed or the manager terminates the disaster relief, the control center 3 initiates a tracking stopping instruction, and all unmanned aerial vehicles 4 are controlled to return, so that the response condition of the disposal personnel can be conveniently known to a supervision user.
Further, in some embodiments, the control center 3 is further configured to:
crawling a webpage by using a crawler to obtain disaster original data;
preprocessing disaster original data to obtain standard data;
analyzing the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster; the early warning standard comprises warning thresholds of various grades;
when the on-site data meets an alarm threshold, judging that the disaster actually occurs at the early-warning place, and setting the grade of the disaster as the grade corresponding to the alarm threshold.
In this embodiment, the system also has a disaster prediction function. The disaster includes weather, earthquake, biology, ocean, environmental pollution, fire and traffic. When predicting the disaster situation, the control center 3 can climb up the data on the web page, for example, establish a queue according to the URL to be crawled, when crawling, sequentially read the URL from the queue, and crawl to obtain the original disaster situation data on the URL, for example, the original disaster situation data includes the disaster situation occurrence time, the occurrence place, the damage degree, the duration time, the rescue situation, and the like. And then the control center preprocesses the disaster original data to obtain standard data, such as cleaning, conversion, regulation and the like, and converts the disaster original data into standard data with a uniform format, so that the subsequent data analysis is convenient. And then analyzing the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster, for example, after the control center analyzes the disaster data generated in the history, the category and the grade of the disaster generated in each time period in each place are identified. The number of the grades of different disaster conditions is different, and the judging standard of each grade is also different, for example, the earthquake is classified into four grades, and the environmental pollution is classified into three grades. When receiving the field data returned by the unmanned aerial vehicle, the control center 3 can evaluate the field data according to the early warning standard, and evaluate the type and grade of the disaster.
The following provides the use scenarios of several disaster early warning prevention and control systems:
the first usage scenario: forest fire prevention. In the early stage of fire, when the local temperature rises, the sensor can sense and report to the control center at the first time. Thus, when a fire disaster is formed initially and smoke or a small amount of open fire occurs, the rescue department can rapidly dispatch teams to put out the fire, and the loss is controlled to the maximum extent. If the local manager does not find the problem in time, the system can also automatically contact with the disaster relief and rescue department and send the local actual situation data to the disaster relief and rescue department, so that the disaster relief and rescue department can dispatch proper team and pre-judge the scene situation according to the scene actual situation. The system can also automatically inform 120 to rescue, can maximize the possibility of striving for personnel rescue, and has higher efficiency compared with the traditional mode that personnel report 120 after discovering the demands on site. The system is linked with each rescue department and insurance company to control the disaster condition within smaller loss as much as possible, thereby fully reducing insurance risk, greatly reducing insurance cost and reducing prevention and control cost investment.
Second usage scenario: and (5) flood prevention management. Before and after the disaster, the unmanned plane or the water robot can timely collect field data, and can quickly and conveniently help the prevention and control department to make the fastest judgment. The system can also timely push rescue requirements to corresponding departments, so that the rescue rate of personnel is improved to the greatest extent, the rescue departments can quickly determine the site conditions, and corresponding rescue teams can be dispatched according to the actual conditions.
Third usage scenario: traffic accident. After automatic patrol or alarm is received, the unmanned aerial vehicle goes to the place where the accident happens and returns the field data and video in real time, and can also inform field personnel how to handle the unmanned aerial vehicle through on-board broadcasting. If the expressway accident occurs, the unmanned aerial vehicle can go to the confirmation situation and broadcast to on-site personnel to prompt to leave the expressway, go to a safe place to wait for the traffic police to go to the treatment, and the damage to the personnel caused by the secondary accident is avoided to a greater extent. The system can also quickly acquire the casualties through communication with field personnel and report the requirements to 120 according to the actual conditions. The unmanned aerial vehicle can acquire field data through equipment such as a carried sensor, a microphone, a camera, a thermal imaging life detection module and the like, and the life detection module can acquire the number and the state of disaster field personnel by combining a humanoid algorithm. For example, the life detection module may detect unconscious persons, the direction of escape of persons, and so forth. When the life detection module detects an abnormal condition, the unmanned aerial vehicle can guide a safety escape direction to disaster-stricken personnel. Before the rescue arrives at the scene, the first hand information is preferentially acquired, so that the rescue device is convenient to handle and rescue and arrangement of personnel. After the unmanned aerial vehicle arrives at the scene, the unmanned aerial vehicle can be in butt joint with an insurance company system according to the scene license plate, after an insurance company corresponding to an accident vehicle is obtained, the insurance company is automatically reported to the corresponding insurance company, the scene video or picture data is provided, and the possibility of secondary accidents after accident personnel stay at the scene is reduced. The unmanned aerial vehicle can also start an on-demand patrol mode, and when the traffic flow of a certain node is abnormal, the control center dispatches the unmanned aerial vehicle to the abnormal node for timely processing and guiding traffic. The control center can carry out the works such as voice notification, photographing and evidence obtaining through the unmanned aerial vehicle, so that rescue can not arrive at the scene, the effect can also be achieved after the rescue arrives at the scene, and the accident handling and traffic guiding can be more efficiently completed on the basis of reducing the number of people. If the traffic of holiday vehicles is suddenly increased, an unmanned aerial vehicle alternate patrol mode is set on an easy-to-block road section, and a plurality of unmanned aerial vehicles automatically and alternately complete seamless patrol, and the conditions of occupying an emergency lane and the like are timely treated, so that smoothness is fully ensured.
Referring to fig. 2, the disaster early warning prevention and control method includes:
s1: the sensor detects environmental data of a monitoring area;
s2: shooting a video of a monitoring area by a camera;
s3: the control center receives the environment data and the video; when the environmental data is abnormal, the environmental data of the adjacent monitoring area is read, and when the environmental data of the adjacent monitoring area is abnormal, a video corresponding to the monitoring area with the abnormal environmental data is called and displayed, an early warning signal containing an early warning place is generated, and the early warning signal is sent to the unmanned aerial vehicle;
s4: when receiving the early warning signal, the unmanned aerial vehicle flies to an early warning place to collect field data, and the field data is returned to a control center;
s5: the control center receives the field data returned by the unmanned aerial vehicle, and generates an alarm signal and sends the alarm signal to an external system when the disaster actually occurs at the early warning place through the field data.
Further, in some embodiments, referring to fig. 3, a method for determining whether environmental data of a monitored area is abnormal includes:
a: when the environmental data is abnormal, defining a monitoring area of the environmental data as an early warning area;
b: respectively acquiring the distance between the early warning area and the adjacent monitoring area;
c: calculating the product of the distance and the environmental data of the adjacent monitoring areas respectively;
d: judging whether a product larger than a minimum threshold exists or not, if so, determining that the environmental data of the adjacent monitoring area is abnormal, defining the adjacent monitoring area as an early warning area, and repeatedly executing the step B; if not, integrating all the early warning areas to obtain an early warning map.
Further, in some embodiments, referring to fig. 4, after the control center generates the alarm signal, the method further includes:
s11: the control center sends alarm signals, early warning maps and field data to related rescue departments;
s12: the control center sends an alarm signal to the related insurance company;
s13: the control center generates a tracking instruction containing a tracking place and sends the tracking instruction to the unmanned aerial vehicle;
s14: when the unmanned aerial vehicle receives the tracking instruction, the unmanned aerial vehicle flies to a tracking place to collect field data, and the field data is returned to a control center;
s15: the control center sends the received tracking stopping instruction to the unmanned aerial vehicle;
s16: and when the unmanned aerial vehicle receives the tracking stopping instruction, stopping shooting and returning.
Further, in some embodiments, referring to fig. 5, further comprising:
s21: the control center uses a crawler to crawl the webpage so as to obtain disaster original data;
s22: the control center preprocesses disaster original data to obtain standard data;
s23: the control center analyzes the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster; the early warning standard comprises warning thresholds of various grades;
s24: when the control center detects that the on-site data meets an alarm threshold, judging that the disaster actually occurs at the early-warning place, and setting the grade of the disaster as the grade corresponding to the alarm threshold.
Further, in some embodiments, the categories of disaster include weather, earthquakes, living things, ocean, environmental pollution, fire, traffic.
For a brief description of the method provided by the embodiments of the present invention, reference may be made to the corresponding content in the foregoing embodiments where the description of the embodiments is not mentioned.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.
Claims (10)
1. The disaster early warning prevention and control system is characterized by comprising:
a plurality of sensors: are arranged on different monitoring areas; the sensor is used for detecting environmental data of the monitoring area;
a plurality of cameras: are arranged on different monitoring areas; the camera is used for shooting videos of the monitoring area;
and the control center: the camera is connected with the sensor; the control center is used for receiving the environment data and the video; when the environmental data is abnormal, the environmental data of the adjacent monitoring areas are read, and when the environmental data of the adjacent monitoring areas is abnormal, videos corresponding to the monitoring areas with the abnormal environmental data are called and displayed, early warning signals containing early warning places are generated, and the early warning signals are sent to the unmanned aerial vehicle; the control center is also used for receiving field data returned by the unmanned aerial vehicle, generating an alarm signal when the disaster of the early-warning place is judged to actually happen through the field data, and sending the alarm signal to an external system;
unmanned aerial vehicle: is connected with the control center; and the unmanned aerial vehicle is used for flying to the early warning place to collect field data when receiving the early warning signal, and returning the field data to the control center.
2. The disaster early warning prevention and control system according to claim 1, wherein the control center is specifically configured to:
a: when one of the environmental data is abnormal, defining a monitoring area of the environmental data as an early warning area;
b: respectively acquiring the distance between the early warning area and the adjacent monitoring area;
c: calculating the product of the distance and the environmental data of the adjacent monitoring area respectively;
d: judging whether a product larger than a minimum threshold exists or not, if so, determining that the environmental data of the adjacent monitoring area is abnormal, defining the adjacent monitoring area as an early warning area, and repeatedly executing the step B; if not, integrating all the early warning areas to obtain an early warning map.
3. The disaster early warning prevention and control system according to claim 2, wherein the control center is specifically configured to:
the alarm signal, the early warning map and the site data are sent to related rescue departments;
sending the alarm signal to an associated insurance company;
generating a tracking instruction containing the tracking place and sending the tracking instruction to the unmanned aerial vehicle;
the received tracking stopping instruction is sent to the unmanned aerial vehicle;
the unmanned aerial vehicle is further configured to:
when the tracking instruction is received, flying to the tracking place to collect field data, and returning the field data to the control center;
and stopping shooting and returning when the tracking stopping instruction is received.
4. The disaster warning prevention and control system of claim 1, wherein the control center is further configured to:
crawling a webpage by using a crawler to obtain disaster original data;
preprocessing the disaster original data to obtain standard data;
analyzing the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster; the early warning standard comprises warning thresholds of various grades;
when the on-site data meets an alarm threshold, judging that the disaster actually occurs at the early-warning place, and setting the grade of the disaster as the grade corresponding to the alarm threshold.
5. The disaster early warning prevention and control system according to claim 4, wherein the category of disaster comprises weather, earthquake, living things, ocean, environmental pollution, fire, traffic.
6. The disaster early warning prevention and control method is characterized by comprising the following steps:
the sensor detects environmental data of the monitoring area;
shooting a video of the monitoring area by a camera;
a control center receives the environment data and the video; when the environmental data is abnormal, the environmental data of the adjacent monitoring areas are read, and when the environmental data of the adjacent monitoring areas is abnormal, videos corresponding to the monitoring areas with the abnormal environmental data are called and displayed, early warning signals containing early warning places are generated, and the early warning signals are sent to the unmanned aerial vehicle;
when the unmanned aerial vehicle receives the early warning signal, the unmanned aerial vehicle flies to the early warning place to collect field data, and the field data is returned to the control center;
and the control center receives the field data returned by the unmanned aerial vehicle, and generates an alarm signal and sends the alarm signal to an external system when the disaster of the early-warning place is judged to actually happen through the field data.
7. The disaster early warning prevention and control method according to claim 6, wherein the judging method of whether the environmental data of the monitoring area is abnormal comprises:
a: when one of the environmental data is abnormal, defining a monitoring area of the environmental data as an early warning area;
b: respectively acquiring the distance between the early warning area and the adjacent monitoring area;
c: calculating the product of the distance and the environmental data of the adjacent monitoring area respectively;
d: judging whether a product larger than a minimum threshold exists or not, if so, determining that the environmental data of the adjacent monitoring area is abnormal, defining the adjacent monitoring area as an early warning area, and repeatedly executing the step B; if not, integrating all the early warning areas to obtain an early warning map.
8. The disaster warning prevention and control method according to claim 7, further comprising, after the control center generates the alarm signal:
the control center sends the alarm signal, the early warning map and the site data to related rescue departments;
the control center sends the alarm signal to the relevant insurance company;
the control center generates a tracking instruction containing the tracking place and sends the tracking instruction to the unmanned aerial vehicle;
when the unmanned aerial vehicle receives the tracking instruction, the unmanned aerial vehicle flies to the tracking place to collect field data, and the field data is returned to the control center;
the control center sends the received tracking stopping instruction to the unmanned aerial vehicle;
and when the unmanned aerial vehicle receives the tracking stopping instruction, stopping shooting and returning.
9. The disaster warning prevention and control method according to claim 6, further comprising:
the control center uses a crawler to crawl the webpage so as to obtain disaster original data;
the control center preprocesses the disaster original data to obtain standard data;
the control center analyzes the title, the content and the comments of the standard data to obtain the category and the early warning standard of each disaster; the early warning standard comprises warning thresholds of various grades;
when the control center detects that the field data meets an alarm threshold, judging that the disaster occurs in the early warning place truly, and setting the grade of the disaster as the grade corresponding to the alarm threshold.
10. The disaster early warning prevention and control method according to claim 9, wherein the category of the disaster comprises weather, earthquake, living things, ocean, environmental pollution, fire, traffic.
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|---|---|---|---|
| CN202310574441.1A CN116543529A (en) | 2023-05-19 | 2023-05-19 | Disaster early warning prevention and control system and method |
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| CN202310574441.1A CN116543529A (en) | 2023-05-19 | 2023-05-19 | Disaster early warning prevention and control system and method |
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