CN111079314A - Position selection method and device of fog monitoring equipment, computer equipment and medium - Google Patents

Position selection method and device of fog monitoring equipment, computer equipment and medium Download PDF

Info

Publication number
CN111079314A
CN111079314A CN202010001233.9A CN202010001233A CN111079314A CN 111079314 A CN111079314 A CN 111079314A CN 202010001233 A CN202010001233 A CN 202010001233A CN 111079314 A CN111079314 A CN 111079314A
Authority
CN
China
Prior art keywords
wind direction
area
surveyed
data
angle
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
Application number
CN202010001233.9A
Other languages
Chinese (zh)
Other versions
CN111079314B (en
Inventor
周康明
左恒
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Eye Control Technology Co Ltd
Original Assignee
Shanghai Eye Control Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Eye Control Technology Co Ltd filed Critical Shanghai Eye Control Technology Co Ltd
Priority to CN202010001233.9A priority Critical patent/CN111079314B/en
Publication of CN111079314A publication Critical patent/CN111079314A/en
Application granted granted Critical
Publication of CN111079314B publication Critical patent/CN111079314B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Indicating Or Recording The Presence, Absence, Or Direction Of Movement (AREA)

Abstract

The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for selecting a location of a fog monitoring device, a computer device, and a medium. The method comprises the following steps: acquiring fogging data, and extracting wind field data from the fogging data; calculating an average wind direction according to the wind field data; determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed; the installation position of the fog monitoring device is extracted from the area to be surveyed. By adopting the method, the efficiency of selecting the installation position of the fog monitoring equipment can be improved.

Description

Position selection method and device of fog monitoring equipment, computer equipment and medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for selecting a location of a fog monitoring device, a computer device, and a medium.
Background
Fog is a weather phenomenon consisting of tiny water droplets or ice crystals suspended in the air near the ground, and the weather of heavy fog can not only harm the health of human beings, but also have great influence on human traffic activities.
In the traditional technology, the fog monitoring of non-flat areas is mainly manually investigated on the spot, and then the installation site of the fog monitoring equipment is selected, so that the selection efficiency of the installation site of the fog monitoring equipment is low.
Disclosure of Invention
In view of the above, there is a need to provide a method, an apparatus, a computer device and a medium capable of improving the efficiency of selecting a mounting location of a fog monitoring device.
A position selection method of fog monitoring equipment comprises the following steps:
acquiring fogging data, and extracting wind field data from the fogging data;
calculating an average wind direction according to the wind field data;
determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed;
the installation position of the fog monitoring device is extracted from the area to be surveyed.
In one embodiment, the method for determining the area to be surveyed by taking the area to be monitored as a center and a preset radius and a preset angle as parameters includes the following steps:
adjusting the wind direction angle according to a preset angle to obtain a monitorable angle interval of the fog monitoring equipment;
the method comprises the steps of determining a region to be surveyed by taking a region to be monitored as a center, a preset radius and a monitorable angle interval as parameters, and setting a wind direction angle as a central angle of the monitorable angle interval.
In one embodiment, calculating an average wind direction from the wind direction data comprises:
acquiring fogging information corresponding to each time of fogging in the fogging data;
extracting wind direction data corresponding to each piece of fogging information, and calculating an average wind direction corresponding to the fogging data according to each piece of wind direction data;
and obtaining the average wind direction corresponding to the fogging data according to each average wind direction.
In one embodiment, determining the installation location of the fog monitoring device based on the area to be surveyed includes:
and identifying the terrain in the area to be surveyed, and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment.
In one embodiment, identifying the terrain in the area to be surveyed and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment comprises:
acquiring satellite map data corresponding to an area to be surveyed;
extracting relief information from the satellite map data;
and extracting the position corresponding to the terrain information meeting the terrain standard of the fog source as the installation position of the fog monitoring equipment.
In one embodiment, extracting a location corresponding to the terrain information meeting the terrain standard of the fog source as the installation location of the fog monitoring device includes:
extracting the position corresponding to the terrain information meeting the fog source terrain standard as a point to be surveyed;
and acquiring corresponding terrain height information of the point to be surveyed, and extracting the position corresponding to the terrain height information meeting the preset standard as the installation position of the fog monitoring equipment.
In one embodiment, the method for determining the preset radius includes:
acquiring preset time counted in advance in a current area;
calculating the average wind speed according to the wind direction data;
and determining the preset radius according to the average wind speed and the preset time.
A device is selected to fog monitoring facilities's position, the device includes:
the extraction module is used for acquiring the fogging data and extracting wind field data from the fogging data;
the average wind direction calculation module is used for calculating an average wind direction according to the wind field data;
the survey area determining module is used for determining the survey area by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, and the wind direction angle corresponding to the average wind direction is within an angle range limited by the survey area;
and the position determining module is used for extracting the installation position of the fog monitoring equipment according to the area to be surveyed.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method.
The position selection method and device of the fog monitoring equipment, the computer equipment and the storage medium acquire the fog data, and automatically extract the wind field data from the fog data; calculating an average wind direction according to the automatically extracted wind field data; then, determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed; and then can be according to waiting to survey the regional mounted position who draws fog monitoring facilities of surveying, realize waiting to survey regional automatic determination and wait to survey regional automatic determination fog detection equipment's position, improved the efficiency of position determination.
Drawings
FIG. 1 is a diagram of an application scenario of a location selection method for a fog monitoring device in one embodiment;
FIG. 2 is a schematic flow chart illustrating a method for selecting a location of the fog monitoring device in one embodiment;
FIG. 3 is a schematic illustration of determining an area to be surveyed in one embodiment;
FIG. 4 is a schematic flow diagram of one embodiment of determining an area to be surveyed;
FIG. 5 is a flow chart illustrating a method for determining a predetermined radius according to one embodiment;
FIG. 6 is a block diagram showing a position selecting device of the fog monitoring apparatus in one embodiment;
FIG. 7 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The position selecting method of the fog monitoring equipment can be applied to the application environment shown in fig. 1. Wherein a user terminal 102 communicates with a server 104 over a network. The server 104 acquires the fogging data and extracts wind field data from the fogging data; calculating an average wind direction according to the wind field data; determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed; the installation position of the fog monitoring device is extracted from the area to be surveyed. Further, the acquired installation position may also be pushed to the user terminal 102 to instruct the user to install the fog monitoring device at the preset position.
The user terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a location selection method for a fog monitoring device is provided, which is described by taking the method as an example applied to the server 104 in fig. 1, and in other embodiments, the method can also be applied to a terminal, and the method includes the following steps:
and step 210, acquiring the fogging data, and extracting wind field data from the fogging data.
Specifically, the server may obtain meteorological data of a certain area within a preset time, for example, the server may obtain meteorological data of a target area for at least ten years from a meteorological bureau, where the meteorological data includes weather conditions (e.g., whether fog exists) every day, wind direction data every day, and the like. Then the server picks out the data corresponding to the foggy weather from the meteorological data to obtain the foggy data, and then the data of the foggy weather are analyzed, and specifically, the server can extract the wind field data in the foggy weather. The wind field data may include a wind direction, a wind size, a wind influence range, and the like.
And step 220, calculating an average wind direction according to the wind field data.
And analyzing by the server according to the acquired wind field data, extracting wind direction data in the wind field data, and calculating an average wind direction according to the wind direction data. For example, the average wind direction may be obtained by calculating an average value of each wind direction data, or an average wind direction may be obtained by calculating a median or a mode of each wind direction data, which is not limited herein.
The wind direction refers to an angle corresponding to the main wind, for example, the range may be 0-360 degrees, where 0 degree or 360 degrees represents a north wind, that is, the wind blows from the north direction, and 90 degrees represents an east wind. Under the action of wind, the fog can be diffused to an area to be monitored, so that the determination of the average wind direction has important significance for determining the source direction of the fog.
It should be noted that, when calculating the average wind direction, only wind field data corresponding to the fog weather during the time period of fog occurrence and fog duration is calculated, and wind field data during the time period of no fog occurrence is not considered.
And step 230, determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed.
The area to be monitored is an area which needs to be subjected to fog monitoring, and is generally a residential living area. The preset radius is a safe radius, and means that when the fog occurs, the fog is not or hardly influenced by the fog within a preset time in an area limited by the preset radius.
As shown in fig. 3, a schematic illustration of an area to be surveyed is provided. Specifically, the server may determine an arc using the area to be monitored as a center of a circle, using a preset radius and a preset angle as parameters, and determine the area to be surveyed according to the arc. As shown in FIG. 3, the angle corresponding to a circumferential range is [2k π,2k π +360 ° ], k ≧ 0, and is an integer. And determining an arc by taking the preset radius R as a radius and a preset angle of 90 degrees as parameters, wherein the area determined by the arc is the area to be surveyed, and the wind direction angle corresponding to the average wind direction is in an angle range defined by the area to be surveyed, that is, when the circle center angle interval corresponding to the area to be surveyed is [285 degrees, 375 degrees ], the wind direction angle corresponding to the average wind direction is also in an interval range corresponding to [285 degrees, 375 degrees ], and the angle can be 330 degrees. In other embodiments, the predetermined angle is not limited in size.
In other embodiments, the process of determining the area to be surveyed may also be determined in a manner other than by a circular arc, such as determining a rectangular area by determining a preset radius, determining the area to be surveyed according to the rectangular area, and the like, which are not limited herein.
The area to be surveyed, determined from the circular arc, is the area to be examined further, in which the best installation position can be selected.
The installation location of the fog monitoring device is extracted from the area to be surveyed, step 240.
Specifically, the server may survey the terrain of the area to be surveyed, such as extracting and marking the locations of valleys, rivers, lakes, or elevations in the area to be surveyed on a map, or may also mark the locations of peaks around the valleys, the locations of elevations near rivers and lakes, and the like.
The server can acquire a corresponding satellite map according to longitude and latitude information corresponding to an area to be surveyed, extract corresponding satellite base data in the satellite map, wherein the satellite base data can store data information of valleys, rivers and lakes, further acquire place position information of the valleys, the rivers and the lakes according to the base data, search high place position information within a preset position information range, and send the searched high place position information to a user so as to indicate the user to investigate the place on the spot.
In this embodiment, the area to be surveyed can be determined by acquiring the fogging data corresponding to the area to be monitored and calculating the average wind direction according to the average wind direction, the preset radius and the preset angle as parameters, and then the installation position of the fog monitoring device can be determined in the area to be surveyed.
In one embodiment, a flow diagram for determining an area to be surveyed is provided, as in FIG. 4. The area to be surveyed is determined by taking the area to be monitored as the center and taking the preset radius and the preset angle as parameters, and the wind direction angle corresponding to the average wind direction is in the angle range limited by the area to be surveyed, and the method comprises the following steps of:
and step 410, adjusting the wind direction angle according to a preset angle to obtain a monitorable angle interval of the fog monitoring equipment.
If the size of the wind direction angle is adjusted according to the preset angle, the wind direction angle is added with or subtracted from the preset angle. If the wind direction angle that average wind direction corresponds is A degree, predetermines the angle and is B degree, then adjust wind direction angle A according to predetermineeing the rule and can be: and on the basis of A, adding or subtracting a preset angle B degree to obtain a monitorable angle interval of [ A-B, A + B ]. If a is 320 degrees and B is 45 degrees, then the angle interval can be monitored as [285 °,375 ° ]. It should be noted that the size of the preset angle may be adjusted according to an actual situation, for example, the size of the preset angle may be adaptively adjusted according to the monitoring capability of the monitoring device, the terrain of the area to be monitored, and the actual situation, in an embodiment, at least the visual angle of the visual area of the camera monitoring device is over 90 degrees, and the preset angle may be set to 45 degrees.
In consideration of mountainous areas, four mountains surround, and the visible area of one imaging detection apparatus is approximately 90 °.
And 420, determining the area to be surveyed by taking the area to be monitored as a center, a preset radius and a monitorable angle interval as parameters, and taking the wind direction angle as a central angle of the monitorable angle interval.
In one embodiment, the wind direction angle is the center angle of the monitorable angular interval.
With continued reference to fig. 3, the server may determine an arc using the area to be monitored as a center of a circle and using the preset radius and the preset angle as parameters, and determine the area to be surveyed according to the arc. And the wind direction angle corresponding to the average wind direction is within the angle range limited by the area to be surveyed and is the central angle of the monitorable angle interval.
In this embodiment, the range of the area to be surveyed is determined by taking the wind direction angle as the center, so that the monitoring equipment at the position of the area to be surveyed can monitor the fog in the direction of the wind direction angle in time, and further the monitoring condition of sending the fog to the area to be monitored can be ensured to be safe.
In one embodiment, calculating an average wind direction from the wind direction data comprises: acquiring fogging information corresponding to each time of fogging in the fogging data; extracting wind direction data corresponding to each piece of fogging information, and calculating an average wind direction corresponding to the fogging data according to each piece of wind direction data; and obtaining the average wind direction corresponding to the fogging data according to each average wind direction.
The fogging data comprise a plurality of fogging data records, each piece of fogging data corresponds to one wind direction data, the average wind direction corresponding to each wind direction data is extracted, and then the average wind direction of the target monitoring area within the preset time is calculated according to each average wind direction. In addition, in other embodiments, the average wind direction may be weighted according to the average wind directions at different times to obtain a weighted average wind direction, for example, the server obtains the current time and obtains the average wind direction of the fogging data corresponding to the current time, and sets the weight corresponding to the average wind direction to be the maximum.
In this embodiment, wind direction data corresponding to each fog is obtained, the mean value of the wind direction data is obtained, then the dominant wind direction is found in the plurality of wind direction mean values, the obtained dominant wind direction is set as the average wind direction, and the calculation accuracy of the average wind direction is improved.
In one embodiment, calculating an average wind direction from the wind direction data comprises: acquiring all wind direction data in the fogging data; generating a wind direction trend chart according to the wind direction data; and extracting the wind direction corresponding to the wind direction data with the maximum frequency in the wind direction trend graph as the average wind direction.
Specifically, the server obtains a trend graph corresponding to the wind direction data, and searches the most dense average wind direction in the trend graph. And obtaining the average wind direction by calculating the frequency, and obtaining the most frequent average wind direction corresponding to the region.
In one embodiment, determining the installation location of the fog monitoring device from the area to be surveyed comprises: and identifying the terrain in the area to be surveyed, and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment.
Specifically, the server may obtain a relief map corresponding to the area to be surveyed, identify relief information in the relief map, where the relief information may include a relief height at the location and a relief height of an area in the neighborhood of the location, and extract a location meeting a preset relief standard as an installation location of the fog monitoring device.
In one embodiment, identifying the terrain in the area to be surveyed, and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment comprises: acquiring satellite map data corresponding to an area to be surveyed; extracting relief information from the satellite map data; and extracting the position corresponding to the terrain information meeting the terrain standard of the fog source as the installation position of the fog monitoring equipment.
The fog source is an area where large fog easily occurs, such as a lake or a river, the server identifies the acquired satellite map data, the fog source information in the identification map can be included, information meeting the fog source standard is extracted as the installation position of the fog monitoring equipment, the server can also acquire each terrain information pre-stored in the satellite map data, and the information meeting the fog source standard is extracted as the installation position of the fog monitoring equipment.
In the embodiment, by acquiring the satellite map data, the satellite map data can provide the most accurate geographic information, so that the fog source area information in the area to be surveyed, which is acquired according to the satellite map data, is more accurate, and the fog monitoring equipment is installed according to the fog source area information, so that not only is the position automatically acquired, but also the position is accurately acquired.
In one embodiment, extracting a location corresponding to terrain information meeting the terrain standard of the fog source as an installation location of the fog monitoring device includes: extracting the position corresponding to the terrain information meeting the fog source terrain standard as a point to be surveyed; and acquiring corresponding terrain height information of the point to be surveyed, and extracting the position corresponding to the terrain height information meeting the preset standard as the installation position of the fog monitoring equipment.
In the embodiment, 2-3 camera monitoring devices are installed in a place where a valley or a river exists around the selected place and the terrain is high. And if the periphery of the searched valley or river has 2 or 3 high lands, 2 or 3 camera monitoring devices are installed. It should be noted that the monitoring device is installed at a place with a high terrain so as to maximize the view field of the 360-degree overall monitoring. The proximity of a valley or river lake is chosen because there is often sufficient water vapor to be the greatest possible source of fog.
In the embodiment, a reasonable deployment place of the monitoring equipment can be selected, so that weather-related units can monitor the generation of the foggy weather in real time, and forecast and early-warning information can be made for the people half an hour in advance.
Moreover, residents often do not live in the mountainous area, and the monitoring equipment returns data and needs a power supply, so that the camera shooting monitoring equipment is provided with a storage battery and a solar panel to solve the power supply problem.
As shown in fig. 5, a schematic flow chart of a preset radius determining method is provided, which includes:
step 510, obtaining a preset time counted in advance in the current area.
The preset time means that after monitoring the fog and giving out early warning, personnel in the area to be monitored can take precautionary measures within the preset time so as to reduce the negative influence possibly brought by the fog. And the preset time can be adaptively adjusted according to the specific conditions of different areas to be monitored and the monitored size of the fog. For example, the server determines the preset time according to the time corresponding to different mists, or counts different areas to be monitored to determine the preset time.
In one embodiment, the preset time is 30 minutes, and the travel arrangement is made in consideration of the fact that the time of 30 minutes can meet the requirements of common people.
In step 520, an average wind speed is calculated based on the wind direction data.
The average wind speed may be determined with reference to the determination of the average wind direction, for example, wind speed data corresponding to a plurality of fogging data within a preset time may be counted, an average wind speed corresponding to a wind speed in each wind speed data is calculated, or a wind speed with the highest frequency in the wind speed data is extracted as the average wind speed, and the like, which is not limited herein.
Step 530, determining a preset radius according to the average wind speed and a preset time.
According to the safety zone determined by the preset radius, the monitored fog does not affect people in the zone to be monitored within the preset time. Therefore, the determination of the preset radius needs to be determined according to the average wind speed and the preset time, for example, the average wind speed is multiplied by the preset time to obtain the preset radius.
If fog is detected at the distance R, the fog will drift to the area to be monitored, such as the main living area, after the time corresponding to the preset time T. The radius R is used for drawing a circle on a corresponding map to determine a region to be surveyed, so that early warning issuing can be timely performed after monitoring fog by setting monitoring equipment in the region to be surveyed, and then travel arrangement can be made for residents within a preset time T so as to reduce or avoid the influence of fog on lives of the residents.
It should be noted that the camera monitoring device faces away from the area to be monitored, such as a living area, and timely gives an early warning when fog is monitored.
Under the condition that the average wind speed is determined, the preset radius is in direct proportion to the preset time, and if the preset time is longer, the larger the preset radius is, and the larger the area to be monitored which can be covered by the camera shooting monitoring equipment is.
In mountain areas, the living area is often comparatively concentrated, and the preset time is longer, so that the preset radius is larger, the area to be covered by the camera shooting monitoring equipment is larger, and in fact, one of the purposes of arranging the camera shooting monitoring equipment is to carry out protection work for residents near the living area, so that the significance of arranging the camera shooting monitoring equipment in other remote places with less smoke is not great. In summary, the setting of the expected time is generally not suitable for being too long, as long as the safe life of residents in the living area in the concentration range can be ensured.
In another embodiment, in the process of calculating the average wind speed, the average wind speed may be weighted according to the distance from the region to be monitored, for example, the person in the region closer to the region to be monitored is dense, the weight for setting the average wind speed is smaller, and the weight for setting the average wind speed in the position farther from the region to be monitored is larger, because the wind speed corresponding to the position being more open may be larger.
In other embodiments, the size of the average wind speed may also be adaptively adjusted according to different seasons according to historical statistics data, and the like, which is not limited herein.
According to the method and the device, the preset radius is determined according to the average wind speed and the preset time, and then the safe region range corresponding to the region to be monitored is determined, so that the historical data can be reasonably utilized to provide guidance for position selection of the existing monitoring equipment, and the efficiency and the accuracy of position selection are further improved.
It should be understood that although the various steps in the flow charts of fig. 2-5 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 6, there is provided a position selecting device of a fog monitoring apparatus, including:
and the extracting module 610 is used for acquiring the fogging data and extracting wind field data from the fogging data.
And an average wind direction calculating module 620, configured to calculate an average wind direction according to the wind field data.
And a to-be-surveyed area determining module 630, configured to determine the to-be-surveyed area by taking the to-be-monitored area as a center and taking the preset radius and the preset angle as parameters, where a wind direction angle corresponding to the average wind direction is within an angle range defined by the to-be-surveyed area.
A location determination module 640 for extracting the installation location of the fog monitoring device from the area to be surveyed.
In one embodiment, the area to be surveyed determining module 630 includes:
the first adjusting unit is used for adjusting the size of the wind direction angle according to a preset angle to obtain a monitoring angle interval of the fog monitoring equipment.
The first determining unit is used for determining the area to be surveyed by taking the area to be monitored as a center and a preset radius and a monitorable angle interval as parameters, and the wind direction angle is a central angle of the monitorable angle interval.
In one embodiment, the average wind direction calculation module 620 includes:
and the fogging information acquisition unit is used for acquiring the fogging information corresponding to each time of fogging in the fogging data.
And the first average wind direction calculation unit is used for extracting wind direction data corresponding to each piece of fogging information and calculating the average wind direction corresponding to the fogging data according to each piece of wind direction data.
The second average wind direction calculation unit obtains an average wind direction corresponding to the fogging data according to each average wind direction.
In one embodiment, the position determining module 640 includes:
and the position extraction submodule is used for identifying the terrain in the area to be surveyed and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment.
In one embodiment, the location extraction sub-module includes:
and the map data acquisition unit is used for acquiring satellite map data corresponding to the area to be surveyed.
And the relief information extraction unit is used for extracting relief information from the satellite map data.
And the position extraction unit is used for extracting the position corresponding to the terrain information meeting the terrain standard of the fog source as the installation position of the fog monitoring equipment.
In one embodiment, the position extracting unit includes:
and the to-be-surveyed point extracting subunit is used for extracting the position corresponding to the terrain information meeting the fog source terrain standard as the to-be-surveyed point.
And the mounting position extracting subunit is used for acquiring the corresponding terrain height information of the point to be surveyed and extracting the position corresponding to the terrain height information meeting the preset standard as the mounting position of the fog monitoring equipment.
In one embodiment, the apparatus further comprises:
and the part acquiring module is used for acquiring the preset time counted in advance in the current area.
And the wind speed calculation module is used for calculating the average wind speed according to the wind direction data.
And the radius determining module is used for determining a preset radius according to the average wind speed and preset time.
For the specific definition of the location selection device of the fog monitoring device, reference may be made to the above definition of the location selection method of the fog monitoring device, which is not described herein again. All or part of the modules in the position selection device of the fog monitoring equipment can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 7. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing weather related data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of location selection for a fog monitoring device.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program: a position selection method of fog monitoring equipment comprises the following steps: acquiring fogging data, and extracting wind field data from the fogging data; calculating an average wind direction according to the wind field data; determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed; the installation position of the fog monitoring device is extracted from the area to be surveyed.
In one embodiment, the processor, when executing the computer program, performs the step of determining the area to be surveyed by centering on the area to be monitored, using the preset radius and the preset angle as parameters, and the wind direction angle corresponding to the average wind direction is within the angle range defined by the area to be surveyed, and further: adjusting the wind direction angle according to a preset angle to obtain a monitorable angle interval of the fog monitoring equipment; the method comprises the steps of determining a region to be surveyed by taking a region to be monitored as a center, a preset radius and a monitorable angle interval as parameters, and setting a wind direction angle as a central angle of the monitorable angle interval.
In one embodiment, the step of calculating an average wind direction from the wind direction data is further performed when the processor executes the computer program to: acquiring fogging information corresponding to each time of fogging in the fogging data; extracting wind direction data corresponding to each piece of fogging information, and calculating an average wind direction corresponding to the fogging data according to each piece of wind direction data; and obtaining the average wind direction corresponding to the fogging data according to each average wind direction.
In one embodiment, the processor when executing the computer program when carrying out the step of determining the installation location of the fog monitoring device from the area to be surveyed is further adapted to: and identifying the terrain in the area to be surveyed, and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment.
In one embodiment, the processor, when executing the computer program, performs the steps of identifying a terrain in the area to be surveyed, and extracting a location meeting a preset terrain standard as an installation location of the fog monitoring device, and further: acquiring satellite map data corresponding to an area to be surveyed; extracting relief information from the satellite map data; and extracting the position corresponding to the terrain information meeting the terrain standard of the fog source as the installation position of the fog monitoring equipment.
In one embodiment, the processor, when executing the computer program, further performs the step of extracting a location corresponding to the terrain information meeting the terrain standard of the fog source as the installation location of the fog monitoring device: extracting the position corresponding to the terrain information meeting the fog source terrain standard as a point to be surveyed; and acquiring corresponding terrain height information of the point to be surveyed, and extracting the position corresponding to the terrain height information meeting the preset standard as the installation position of the fog monitoring equipment.
In one embodiment, the processor, when executing the computer program, is further configured to: acquiring preset time counted in advance in a current area; calculating the average wind speed according to the wind direction data; and determining the preset radius according to the average wind speed and the preset time.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which when executed by a processor performs the steps of: a position selection method of fog monitoring equipment comprises the following steps: acquiring fogging data, and extracting wind field data from the fogging data; calculating an average wind direction according to the wind field data; determining the area to be surveyed by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the area to be surveyed; the installation position of the fog monitoring device is extracted from the area to be surveyed.
In one embodiment, the computer program when executed by the processor performs the step of determining the area to be surveyed with the area to be monitored as a center, the preset radius and the preset angle as parameters, and the wind direction angle corresponding to the average wind direction is within the angle range defined by the area to be surveyed: adjusting the wind direction angle according to a preset angle to obtain a monitorable angle interval of the fog monitoring equipment; the method comprises the steps of determining a region to be surveyed by taking a region to be monitored as a center, a preset radius and a monitorable angle interval as parameters, and setting a wind direction angle as a central angle of the monitorable angle interval.
In one embodiment, the computer program when executed by the processor performs the step of calculating an average wind direction from the wind direction data is further configured to: acquiring fogging information corresponding to each time of fogging in the fogging data; extracting wind direction data corresponding to each piece of fogging information, and calculating an average wind direction corresponding to the fogging data according to each piece of wind direction data; and obtaining the average wind direction corresponding to the fogging data according to each average wind direction.
In one embodiment, the computer program when executed by the processor performs the step of determining the installation location of the fog monitoring device from the area to be surveyed is further for: and identifying the terrain in the area to be surveyed, and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment.
In one embodiment, the computer program, when executed by the processor, performs the steps of identifying a terrain in the area to be surveyed, and extracting a location meeting a preset terrain standard as an installation location of the fog monitoring device, further configured to: acquiring satellite map data corresponding to an area to be surveyed; extracting relief information from the satellite map data; and extracting the position corresponding to the terrain information meeting the terrain standard of the fog source as the installation position of the fog monitoring equipment.
In one embodiment, the computer program when executed by the processor performs the step of extracting a location corresponding to the terrain information meeting the terrain standard of the fog source as the installation location of the fog monitoring device is further configured to: extracting the position corresponding to the terrain information meeting the fog source terrain standard as a point to be surveyed; and acquiring corresponding terrain height information of the point to be surveyed, and extracting the position corresponding to the terrain height information meeting the preset standard as the installation position of the fog monitoring equipment.
In one embodiment, the computer program when executed by the processor performs the steps of the method for determining the preset radius further comprises: acquiring preset time counted in advance in a current area; calculating the average wind speed according to the wind direction data; and determining the preset radius according to the average wind speed and the preset time.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method of location selection for a fog monitoring device, the method comprising:
obtaining fogging data, and extracting wind field data from the fogging data;
calculating an average wind direction according to the wind field data;
determining a region to be surveyed by taking a region to be monitored as a center and a preset radius and a preset angle as parameters, wherein the wind direction angle corresponding to the average wind direction is within an angle range limited by the region to be surveyed;
and extracting the installation position of the fog monitoring equipment according to the area to be surveyed.
2. The method according to claim 1, wherein the determining the area to be surveyed by taking the area to be monitored as a center, taking a preset radius and a preset angle as parameters, and the wind direction angle corresponding to the average wind direction is within an angle range defined by the area to be surveyed comprises the following steps:
adjusting the size of the wind direction angle according to a preset angle to obtain a monitorable angle interval of the fog monitoring equipment;
and determining the area to be surveyed by taking the area to be monitored as a center and the preset radius and the monitorable angle interval as parameters, wherein the wind direction angle is the central angle of the monitorable angle interval.
3. The method of claim 1, wherein said calculating an average wind direction from said wind direction data comprises:
obtaining fogging information corresponding to each time of fogging in the fogging data;
extracting wind direction data corresponding to each piece of fogging information, and calculating an average wind direction corresponding to the fogging data according to each wind direction data;
and obtaining the average wind direction corresponding to the fogging data according to each average wind direction.
4. The method of claim 1, wherein determining the installation location of fog monitoring equipment from the area to be surveyed comprises:
and identifying the terrain in the area to be surveyed, and extracting the position meeting the preset terrain standard as the installation position of the fog monitoring equipment.
5. The method of claim 4, wherein the identifying the terrain in the area to be surveyed, and extracting locations meeting preset terrain criteria as installation locations for fog monitoring equipment comprises:
acquiring satellite map data corresponding to the area to be surveyed;
extracting relief information from the satellite map data;
and extracting the position corresponding to the terrain information meeting the terrain standard of the fog source as the installation position of the fog monitoring equipment.
6. The method of claim 5, wherein the extracting the location corresponding to the terrain information meeting the terrain standard of the fog source as the installation location of the fog monitoring equipment comprises:
extracting the position corresponding to the terrain information meeting the fog source terrain standard as a point to be surveyed;
and acquiring corresponding terrain height information of the to-be-surveyed point, and extracting a position corresponding to the terrain height information meeting a preset standard as an installation position of the fog monitoring equipment.
7. The method of claim 1, wherein the method for determining the preset radius comprises:
acquiring preset time counted in advance in a current area;
calculating an average wind speed according to the wind direction data;
and determining a preset radius according to the average wind speed and preset time.
8. A location selection device for a fog monitoring apparatus, the device comprising:
the extracting module is used for acquiring the fogging data and extracting wind field data from the fogging data;
the average wind direction calculation module is used for calculating an average wind direction according to the wind field data;
the survey area determining module is used for determining the survey area by taking the area to be monitored as a center and taking a preset radius and a preset angle as parameters, and the wind direction angle corresponding to the average wind direction is within an angle range limited by the survey area;
and the position determining module is used for extracting the installation position of the fog monitoring equipment according to the area to be surveyed.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN202010001233.9A 2020-01-02 2020-01-02 Position selection method and device of fog monitoring equipment, computer equipment and medium Expired - Fee Related CN111079314B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010001233.9A CN111079314B (en) 2020-01-02 2020-01-02 Position selection method and device of fog monitoring equipment, computer equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010001233.9A CN111079314B (en) 2020-01-02 2020-01-02 Position selection method and device of fog monitoring equipment, computer equipment and medium

Publications (2)

Publication Number Publication Date
CN111079314A true CN111079314A (en) 2020-04-28
CN111079314B CN111079314B (en) 2021-02-09

Family

ID=70322153

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010001233.9A Expired - Fee Related CN111079314B (en) 2020-01-02 2020-01-02 Position selection method and device of fog monitoring equipment, computer equipment and medium

Country Status (1)

Country Link
CN (1) CN111079314B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113793028A (en) * 2021-09-14 2021-12-14 济南东之林智能软件有限公司 Method and device for determining pollution source associated information and terminal equipment

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102426399A (en) * 2011-09-01 2012-04-25 南京信息工程大学 Highway crosswind warning method
CN203606954U (en) * 2013-12-10 2014-05-21 安徽皖通科技股份有限公司 Highway weather monitoring system
CN104101686A (en) * 2014-07-01 2014-10-15 聚光科技(杭州)股份有限公司 Gas monitoring method
US20160148100A1 (en) * 2014-01-07 2016-05-26 Sk Planet Co., Ltd. Apparatus and method for changing alarm information in accordance with weather
CN105740990A (en) * 2016-02-26 2016-07-06 中铁第四勘察设计院集团有限公司 Method for selecting resident monitoring points in railway wind monitoring system
CN105738974A (en) * 2016-02-05 2016-07-06 北京市环境保护监测中心 Air heavy pollution weather forecast method and system
US9691247B2 (en) * 2014-08-29 2017-06-27 Robert Bosch Gmbh Fire detection apparatus, method for evaluating at least one fire detection feature and computer program
CN107367577A (en) * 2017-06-27 2017-11-21 苏州浪声科学仪器有限公司 A kind of method and system according to wind direction and anemometry pollutant sources
CN107677773A (en) * 2017-09-20 2018-02-09 广东中联兴环保科技有限公司 Toxic and harmful gas monitoring points distributing method, device, medium and computer equipment
CN109407177A (en) * 2018-10-16 2019-03-01 象谱信息产业有限公司 Dense fog identifying system and methods for using them based on machine learning and conventional meteorological observation
CN109901244A (en) * 2019-03-29 2019-06-18 云南电网有限责任公司电力科学研究院 A kind of power transmission line in high altitude region gale monitoring points distributing method and device

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102426399A (en) * 2011-09-01 2012-04-25 南京信息工程大学 Highway crosswind warning method
CN203606954U (en) * 2013-12-10 2014-05-21 安徽皖通科技股份有限公司 Highway weather monitoring system
US20160148100A1 (en) * 2014-01-07 2016-05-26 Sk Planet Co., Ltd. Apparatus and method for changing alarm information in accordance with weather
CN104101686A (en) * 2014-07-01 2014-10-15 聚光科技(杭州)股份有限公司 Gas monitoring method
US9691247B2 (en) * 2014-08-29 2017-06-27 Robert Bosch Gmbh Fire detection apparatus, method for evaluating at least one fire detection feature and computer program
CN105738974A (en) * 2016-02-05 2016-07-06 北京市环境保护监测中心 Air heavy pollution weather forecast method and system
CN105740990A (en) * 2016-02-26 2016-07-06 中铁第四勘察设计院集团有限公司 Method for selecting resident monitoring points in railway wind monitoring system
CN107367577A (en) * 2017-06-27 2017-11-21 苏州浪声科学仪器有限公司 A kind of method and system according to wind direction and anemometry pollutant sources
CN107677773A (en) * 2017-09-20 2018-02-09 广东中联兴环保科技有限公司 Toxic and harmful gas monitoring points distributing method, device, medium and computer equipment
CN109407177A (en) * 2018-10-16 2019-03-01 象谱信息产业有限公司 Dense fog identifying system and methods for using them based on machine learning and conventional meteorological observation
CN109901244A (en) * 2019-03-29 2019-06-18 云南电网有限责任公司电力科学研究院 A kind of power transmission line in high altitude region gale monitoring points distributing method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113793028A (en) * 2021-09-14 2021-12-14 济南东之林智能软件有限公司 Method and device for determining pollution source associated information and terminal equipment
CN113793028B (en) * 2021-09-14 2024-04-26 济南东之林智能软件有限公司 Method and device for determining pollution source associated information and terminal equipment

Also Published As

Publication number Publication date
CN111079314B (en) 2021-02-09

Similar Documents

Publication Publication Date Title
US20220108242A1 (en) Method and system for utility power line monitoring
US20180098137A1 (en) Method and system for utility power lines vegetation proximity monitoring and controlling
KR102108754B1 (en) Realtime forest fire danger rating system in north korea
Vega-Rodríguez et al. Low cost LoRa based network for forest fire detection
Gopal et al. Evaluating the status of the endangered tiger Panthera tigris and its prey in Panna Tiger Reserve, Madhya Pradesh, India
CN113033994B (en) Agricultural dangerous case data evaluation method, device, computer equipment and storage medium
RU2504014C1 (en) Method of controlling monitoring system and system for realising said method
BRPI0618707A2 (en) method and device for detecting forest fires
CN111463902A (en) Overhead line monitoring method, system, device and server
KR101394861B1 (en) System detection of flooding risk roads in real time using the weather center information and offering its service based on the web.
CN111079314B (en) Position selection method and device of fog monitoring equipment, computer equipment and medium
Pętlicki et al. Calving of Fuerza Aérea Glacier (Greenwich Island, Antarctica) observed with terrestrial laser scanning and continuous video monitoring
Shnyparkov et al. Theory and practice of individual snow avalanche risk assessment in the Russian Arctic
CN113269175B (en) Fire monitoring method and device
US20190087757A1 (en) GIS Based Centralized Carbon Footprint Monitoring System and Method Thereof
CN111027827B (en) Method and device for analyzing operation risk of bottom-protecting communication network and computer equipment
Gorressen et al. Behavior of the Hawaiian hoary bat (Lasiurus cinereus semotus) at wind turbines and its distribution across the North Koolau mountains, O'ahu
CN115631588A (en) Method, system, platform, equipment and medium for managing and monitoring homeland resources
KR20190129471A (en) Realtime forest fire danger rating system in north korea on mobile network
CN111986697B (en) Method, device, computer equipment and storage medium for determining trip point of power transmission line
CN113077609A (en) Natural disaster early warning system and method based on big data
CN114966229A (en) Static lightning approach early warning detection system
US20220025863A1 (en) A method for computer-implemented analysis of a wind farm comprising a number of wind turbines
Lollino et al. Infrastructure in geohazard contexts: The importance of automatic and near-real-time monitoring
CN113867406A (en) Unmanned aerial vehicle-based line inspection method and system, intelligent equipment and storage medium

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
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: Location selection method, device, computer equipment and medium of fog monitoring equipment

Effective date of registration: 20220211

Granted publication date: 20210209

Pledgee: Shanghai Bianwei Network Technology Co.,Ltd.

Pledgor: SHANGHAI EYE CONTROL TECHNOLOGY Co.,Ltd.

Registration number: Y2022310000023

CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20210209