阅读说明：本技术 一种阿蒙森低压识别方法和系统 (Method and system for identifying low voltage of Monsson ) 是由 高妙妮 王艳君 苏布达 黄金龙 姜彤 于 2021-11-09 设计创作，主要内容包括：本发明公开一种阿蒙森低压识别方法和系统,所述识别方法包括：S1：在监测时间段内获取待识别区域的气压格点数据；S2：在所述气压格点数据中查找出所述气压值最小的气压格点作为绝对中心格点；S3：计算所述待识别区域内所述气压格点数据中的所述气压值的平均值,计算各个所述气压格点数据的所述气压值与所述平均值的差值作为相对气压值；S4：查找相对中心格点。本发明识别方法可以根据气压格点数据,查找出监测时间段内待识别区域的绝对中心格点和相对中心格点对应的数据信息,其中待识别区域可以是西经62°至东经170°且南纬60°至80°的区域,即监测阿蒙森低压数据,从而个更好的辅助理解和预测南极气候。(The invention discloses an Armunson low-voltage identification method and system, wherein the identification method comprises the following steps: s1: acquiring air pressure lattice point data of an area to be identified in a monitoring time period; s2: finding out the air pressure lattice point with the minimum air pressure value from the air pressure lattice point data as an absolute center lattice point; s3: calculating an average value of the air pressure values in the air pressure lattice point data in the area to be identified, and calculating a difference value between the air pressure value and the average value of each air pressure lattice point data to serve as a relative air pressure value; s4: find the relative center grid point. The identification method can find out the data information corresponding to the absolute center grid point and the relative center grid point of the area to be identified in the monitoring time period according to the air pressure grid point data, wherein the area to be identified can be an area with a west longitude of 62 degrees to an east longitude of 170 degrees and a south latitude of 60 degrees to 80 degrees, namely the monitoring of the Monson low-pressure data, so that the better auxiliary understanding and the prediction of the Antarctic climate can be realized.)

1. An arminson low-voltage identification method, characterized in that the identification method comprises:

s1: acquiring air pressure lattice point data of an area to be identified in a monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value;

s2: finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data acquired in the step S1 as an absolute center grid point, taking the air pressure value of the absolute center grid point as an absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as an absolute center position;

s3: calculating an average value of the air pressure values in the air pressure lattice point data in the area to be identified, and calculating a difference value between the air pressure value and the average value of each air pressure lattice point data to serve as a relative air pressure value;

s4: finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

2. The method for identifying the low pressure of the aponsin according to claim 1, wherein the air pressure lattice point data of the area to be identified is periodically acquired in the monitoring time period, and the absolute center positions in the monitoring time period are connected in a time sequence to be used as an absolute center trajectory graph;

and connecting the relative central positions in the monitoring time period according to a time sequence to be used as a relative central locus diagram.

3. The method according to claim 2, wherein the atmospheric pressure lattice point data of the area to be identified is acquired according to a preset period within the monitoring time period, and the preset period is shortened when the difference between the currently acquired atmospheric pressure lattice point data and the last acquired atmospheric pressure lattice point data exceeds a large difference threshold;

and under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data is smaller than a small difference threshold value, increasing the preset period.

4. An aporson low-voltage recognition method according to claim 3, wherein the preset period is shortened by a first shortening ratio in case that a distance between the grid point coordinates of the currently acquired air pressure grid point data and the last acquired air pressure grid point data exceeds a first large difference threshold;

under the condition that the absolute value of the difference value of the air pressure value of the currently acquired air pressure lattice point data and the air pressure value of the last acquired air pressure lattice point data exceeds a second large difference threshold value, shortening the preset period according to a second shortening proportion;

under the condition that the distance between the currently acquired air pressure lattice point data and the lattice point coordinates of the last acquired air pressure lattice point data is smaller than a first small difference threshold value, increasing the preset period according to a first increase proportion;

and under the condition that the absolute value of the difference value of the air pressure value of the currently acquired air pressure lattice point data and the air pressure value of the last acquired air pressure lattice point data is smaller than a second small difference threshold value, increasing the preset period according to a second increase proportion.

5. The method according to claim 1, wherein after acquiring the air pressure grid point data of the area to be identified within a monitoring time period, before finding the air pressure grid point with the minimum air pressure value in the air pressure grid point data as an absolute center grid point, drawing an air pressure grid point color map of the area to be identified, wherein the color depth of each grid point is inversely proportional to the air pressure value, and identifying a dark color area of the air pressure grid point color map as an absolute target area through an image processing method;

and when the air pressure lattice point with the minimum air pressure value is found out from the air pressure lattice point data to be used as an absolute center lattice point, finding out the air pressure lattice point with the minimum air pressure value from the air pressure lattice point data in the absolute target area to be used as the absolute center lattice point.

6. An armon low-voltage identification method according to claim 1, wherein after calculating the difference between the air pressure value and the average value of each of the air pressure grid point data as a relative air pressure value, before finding the air pressure grid point with the smallest relative air pressure value in the air pressure grid point data as a relative center grid point, a relative air pressure grid point color map of the area to be identified is drawn, the color depth of each grid point is inversely proportional to the relative air pressure value, and a dark color area of the relative air pressure grid point color map is identified as a relative target area by image processing;

when the air pressure lattice point with the minimum relative air pressure value is found out from the air pressure lattice point data as a relative center lattice point, the air pressure lattice point with the minimum relative air pressure value is found out from the air pressure lattice point data in the relative target area as a relative center lattice point.

7. An aponson low voltage identification method according to claim 1, characterized in that the area to be identified is an area of 62 ° to 170 ° west warp and 60 ° to 80 ° south weft.

8. An aponson low voltage identification system, characterized in that the identification system comprises an identification server for performing the method of aponson low voltage identification according to any of claims 1 to 7.

9. An aponson low voltage identification system according to claim 8, wherein the identification system further comprises: a plurality of query terminals;

the identification server is further configured to receive query instructions sent by the query terminals, where the query instructions include the monitoring time period and/or the area to be identified;

the identification server is further configured to output the data corresponding to the absolute center grid point and the data corresponding to the relative center grid point to the corresponding query terminal.

10. An aporsen low voltage identification system according to claim 8, characterized in that said identification server comprises a processor, an input device, an output device and a memory, said processor, input device, output device and memory being interconnected, said memory being adapted to store a computer program, said computer program comprising program instructions, said processor being configured to invoke said program instructions to perform the identification method according to any one of claims 1 to 7.

Technical Field

The invention relates to the field of meteorology, in particular to an Armunson low-voltage identification method and system.

Background

The low pressure of the arminson is a non-latitudinal type circular flow system in the south Pole region, is generated by the interaction of a western wind zone of a southern hemisphere and a Victoria highland, and can affect sea ice, air temperature and precipitation of the west Antarctica through the wind, so that the global climate change is further affected. Therefore, the variation of the intensity and the position of the low-pressure of the armon has a remarkable influence on the south-pole climate, and the identification and the monitoring of the low-pressure data of the armon are important for understanding and predicting the south-pole climate. In response to this situation, an arminson low voltage identification method and system are proposed.

Disclosure of Invention

The invention aims to provide an Armunson low-voltage identification method and system, which can effectively solve the problems, the identification method can search out data information corresponding to an absolute center grid point and a relative center grid point of a to-be-identified area in a monitoring time period according to air pressure grid point data, wherein the to-be-identified area can be an area with a west longitude of 62 degrees to east longitude of 170 degrees and a south latitude of 60 degrees to 80 degrees, namely, the Armunson low-voltage data is monitored, so that the better auxiliary understanding and the prediction of the Antarctic climate are realized.

The purpose of the invention can be realized by the following technical scheme:

an arminson low voltage identification method, the identification method comprising:

s1: acquiring air pressure lattice point data of an area to be identified in a monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value;

s2: finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data as an absolute center grid point, taking the air pressure value of the absolute center grid point as an absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as an absolute center position;

s3: calculating an average value of the air pressure values in the air pressure lattice point data in the area to be identified, and calculating a difference value between the air pressure value and the average value of each air pressure lattice point data to serve as a relative air pressure value;

s4: finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

Further, the identification method can find out data information corresponding to an absolute center grid point and a relative center grid point of an area to be identified in a monitoring time period according to the air pressure grid point data, wherein the area to be identified can be an area with a west longitude of 62 degrees to an east longitude of 170 degrees and a south latitude of 60 degrees to 80 degrees, namely the armon low-pressure data is monitored, so that the south-pole climate can be understood and predicted in an auxiliary mode.

Further, the acquiring the air pressure lattice point data of the area to be identified in the monitoring time period includes: periodically acquiring air pressure lattice point data of an area to be identified in a monitoring time period; connecting the absolute central positions in the monitoring time period according to a time sequence to be used as an absolute central locus diagram; and connecting the relative central positions in the monitoring time period according to a time sequence to be used as a relative central locus diagram.

Furthermore, the identification method can find out the data information corresponding to the absolute center grid point and the relative center grid point of the area to be identified in the monitoring time period according to the air pressure grid point data; and an absolute central track map and a relative central track map can be drawn, and the track changes of the absolute central lattice point and the relative central lattice point are further displayed visually, so that technicians can analyze and predict the climate change conveniently.

Further, the periodically acquiring the air pressure lattice point data of the area to be identified in the monitoring time period includes: acquiring air pressure lattice point data of an area to be identified according to a preset period in a monitoring time period; shortening the preset period under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data exceeds a large difference threshold value; and under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data is smaller than a small difference threshold value, increasing the preset period.

Further, in the process of periodically acquiring the air pressure lattice point data of the area to be identified, under the condition that the air pressure lattice point data changes greatly, the acquisition period can be shortened properly, the air pressure lattice point data can be acquired more frequently, the phenomenon that key data are missed and misleading is caused to judgment of technicians is avoided, in addition, under the condition that the air pressure lattice point data changes slightly, the acquisition period can be increased properly, the frequency of acquiring the air pressure lattice point data is reduced, the calculation amount is reduced, and the overall identification efficiency is improved.

Further, under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data exceeds a large difference threshold, shortening the preset period, including: under the condition that the distance between the currently acquired air pressure lattice point data and the lattice point coordinates of the last acquired air pressure lattice point data exceeds a first large difference threshold value, shortening the preset period according to a first shortening proportion; under the condition that the absolute value of the difference value of the air pressure value of the currently acquired air pressure lattice point data and the air pressure value of the last acquired air pressure lattice point data exceeds a second large difference threshold value, shortening the preset period according to a second shortening proportion; under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data is smaller than a small difference threshold value, the preset period is increased, and the method comprises the following steps: under the condition that the distance between the currently acquired air pressure lattice point data and the lattice point coordinates of the last acquired air pressure lattice point data is smaller than a first small difference threshold value, increasing the preset period according to a first increase proportion; and under the condition that the absolute value of the difference value of the air pressure value of the currently acquired air pressure lattice point data and the air pressure value of the last acquired air pressure lattice point data is smaller than a second small difference threshold value, increasing the preset period according to a second increase proportion.

Further, after acquiring the air pressure grid point data of the area to be identified in the monitoring time period, before finding the air pressure grid point with the minimum air pressure value as an absolute center grid point in the air pressure grid point data, the method further includes: drawing an air pressure lattice point color map of the area to be identified, wherein the color depth of each lattice point is inversely proportional to the air pressure value; identifying a dark color area of the atmospheric pressure lattice point color image as an absolute target area through an image processing method; the finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data as an absolute center grid point comprises: and finding out the air pressure lattice point with the minimum air pressure value from the air pressure lattice point data in the absolute target area as an absolute center lattice point.

Furthermore, after the air pressure grid point color map is drawn, a dark color area, namely a low-pressure area, can be efficiently found through an image processing method, the dark color area is used as an absolute target area, and the absolute center grid point with the minimum air pressure value can be more quickly found in the absolute target area.

Further, after the calculating a difference between the air pressure value and the average value of each of the air pressure grid point data as a relative air pressure value, before finding an air pressure grid point with a smallest relative air pressure value in the air pressure grid point data as a relative center grid point, the method further includes: drawing a relative air pressure lattice point color map of the area to be identified, wherein the color depth of each lattice point is inversely proportional to the relative air pressure value; identifying a dark color area of the relative air pressure lattice point color image as a relative target area through an image processing method; finding out the air pressure grid point with the minimum relative air pressure value in the air pressure grid point data as a relative central grid point, wherein the method comprises the following steps: and finding out the air pressure lattice point with the minimum relative air pressure value from the air pressure lattice point data in the relative target area as a relative central lattice point.

Furthermore, after the relative air pressure grid point color map is drawn, a dark color area, namely a low-pressure area, can be efficiently found through an image processing method, the dark color area is used as a relative target area, and a relative central grid point with the minimum air pressure value can be more quickly found in the relative target area.

An arminson low voltage identification system, the identification system comprising: identifying a server; the identification server is used for executing the identification method.

Further, the system further comprises: a plurality of query terminals; the identification server is further configured to receive query instructions sent by the query terminals, where the query instructions include the monitoring time period and/or the area to be identified; the identification server is further configured to output the data corresponding to the absolute center grid point and the data corresponding to the relative center grid point to the corresponding query terminal.

Further, the identification server comprises a processor, an input device, an output device and a memory, which are connected to each other, wherein the memory is used for storing a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the method of any one of the above items.

The invention has the beneficial effects that:

the identification method can find out the data information corresponding to the absolute center grid point and the relative center grid point of the area to be identified in the monitoring time period according to the air pressure grid point data, wherein the area to be identified can be an area with a west longitude of 62 degrees to an east longitude of 170 degrees and a south latitude of 60 degrees to 80 degrees, namely the monitoring of the Monson low-pressure data, so that the better auxiliary understanding and the prediction of the Antarctic climate can be realized.

Drawings

The invention will be further described with reference to the accompanying drawings.

FIG. 1 is a schematic flow chart of a first method for low-voltage identification by the present invention;

FIG. 2 is a schematic illustration of the present invention, an Armunson Low Voltage identification method;

FIG. 3 is a schematic flow chart of a second method for low-voltage identification by the present invention;

FIG. 4 is a schematic illustration of the method of Atmoson low pressure identification shown in FIG. 3;

FIG. 5 is a schematic flow chart of a third method for low-voltage identification by the present invention;

FIG. 6 is a schematic illustration of the method of Atmoson low pressure identification shown in FIG. 5;

FIG. 7 is a schematic flow chart of a fourth method for low-voltage identification by the present invention;

FIG. 8 is a schematic diagram of an Atmoson low voltage identification system provided by the present invention;

fig. 9 is a schematic diagram of an identification server of the arminson low voltage identification system shown in fig. 7.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

An Armunson low-voltage identification method comprises the following steps:

example 1

Referring to fig. 1 and fig. 2, the present application provides an arminson low voltage identification method, including:

110. and acquiring air pressure lattice point data of the area to be identified in the monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value.

In this embodiment, the monitoring time period and the area to be identified may be preset by the server or may be customized by the inquirer. The monitoring time period is a time period for acquiring the air pressure grid point data, and can be one day, one week, one month, one quarter and the like; the area to be identified can be an area in which an inquirer needs to perform low-voltage identification, such as a city and a country.

The air pressure grid point data refers to air pressure data obtained by a plurality of high-density meteorological observation stations distributed in an area to be identified, and a grid point data set with certain precision is obtained by performing spatial interpolation by using a Thin Plate Spline (TPS) method of ANUSPLIN software, so that the calculation and judgment of low-pressure identification by grid point data are simpler and quicker.

The area in fig. 2 is an area to be identified 200, where each small cell is an air pressure cell, and the air pressure cell data corresponding to each air pressure cell includes a cell coordinate and an air pressure value.

120. And finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data as an absolute center grid point, taking the air pressure value of the absolute center grid point as the absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as the absolute center position.

In this embodiment, an absolute center grid point may be found by using a point-by-point comparison method, an air pressure value of the absolute center grid point is used as an absolute center intensity, and a longitude and a latitude corresponding to a grid point coordinate of the absolute center grid point are used as an absolute center position, in fig. 2, a first air pressure grid point 201 is an absolute center grid point, an air pressure value of the first air pressure grid point 201 is an absolute center intensity, and a longitude and a latitude corresponding to a grid point coordinate of the first air pressure grid point 201 are an absolute center position.

130. And calculating the average value of the air pressure values in the air pressure grid point data in the area to be identified, and calculating the difference value between the air pressure value of each air pressure grid point data and the average value to be used as a relative air pressure value.

In this embodiment, in order to filter out the influence of the atmospheric large-scale variability signal on the air pressure data, it is therefore necessary to calculate the relative air pressure value.

140. And finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

In this embodiment, generally, a point-by-point comparison method may be adopted to find out a relative center grid point, and take the air pressure value of the relative center grid point as the relative center intensity, and take the longitude and latitude corresponding to the grid point coordinate of the relative center grid point as the relative center position, in fig. 2, the second air pressure grid point 202 is the relative center grid point, the air pressure value of the second air pressure grid point 202 is the relative center intensity, and the longitude and latitude corresponding to the grid point coordinate of the second air pressure grid point 202 is the relative center position.

In the present embodiment, the region to be identified is a region of 62 ° to 170 ° west warp and 60 ° to 80 ° south latitude.

Has the advantages that: the application discloses an Armunson low-voltage identification method, which can be used for searching data information corresponding to an absolute center grid point and a relative center grid point of an area to be identified in a monitoring time period according to air pressure grid point data, wherein the area to be identified can be an area with a west longitude of 62 degrees to an east longitude of 170 degrees and a south latitude of 60 degrees to 80 degrees, namely, the Armunson low-voltage data is monitored, so that the Antarctic climate can be understood and predicted in an auxiliary mode.

Example 2

Referring to fig. 3 and 4, the present application provides an arminson low voltage identification method, including:

310. the method comprises the steps of periodically obtaining air pressure lattice point data of an area to be identified in a monitoring time period, wherein the air pressure lattice point data comprise lattice point coordinates and air pressure values.

The period may be preset or adjusted according to specific situations, and may be 1 hour, 10 hours, 24 hours, 48 hours, and the like.

320. And finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data as an absolute center grid point, taking the air pressure value of the absolute center grid point as the absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as the absolute center position.

330. And calculating the average value of the air pressure values in the air pressure grid point data in the area to be identified, and calculating the difference value between the air pressure value of each air pressure grid point data and the average value to be used as a relative air pressure value.

340. And finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

350. And connecting the absolute central positions in the monitoring time period according to the time sequence to be used as an absolute central track graph.

360. And connecting the relative central positions in the monitoring time period according to the time sequence to be used as a relative central locus diagram.

In this embodiment, because the air pressure grid point data of the to-be-identified area is periodically acquired in the monitoring time period, multiple times of air pressure grid point data can be acquired in the monitoring time period, that is, multiple times of absolute center grid points and relative center grid point information can be obtained, the absolute center positions in the monitoring time period are connected in a time sequence, and an absolute center trajectory diagram is drawn to visually show the trajectory change of the absolute center grid points, as shown by a path S1 shown in fig. 4; the relative center positions in the monitoring time period are connected in a time sequence, and a relative center trajectory diagram is drawn to visually show the trajectory change of the relative center lattice, as shown by a path S2 shown in fig. 4.

Has the advantages that: the application discloses an Omnison low-voltage identification method which can be used for finding out data information corresponding to an absolute center grid point and a relative center grid point of an area to be identified in a monitoring time period according to air pressure grid point data; and an absolute central track map and a relative central track map can be drawn, and the track changes of the absolute central lattice point and the relative central lattice point are further displayed visually, so that technicians can analyze and predict the climate change conveniently.

In this embodiment, step 310 specifically includes:

311. and acquiring the air pressure lattice point data of the area to be identified according to a preset period in the monitoring time period.

312. And under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data exceeds a large difference threshold value, shortening the preset period.

In this embodiment, step 312 specifically includes: under the condition that the distance between the grid point coordinates of the currently acquired air pressure grid point data and the last acquired air pressure grid point data exceeds a first large difference threshold value, shortening a preset period according to a first shortening proportion; and under the condition that the absolute value of the difference value of the air pressure value of the currently acquired air pressure lattice point data and the air pressure value of the last acquired air pressure lattice point data exceeds a second large difference threshold value, shortening the preset period according to a second shortening proportion.

313. And under the condition that the difference between the currently acquired air pressure grid point data and the last acquired air pressure grid point data is smaller than the small difference threshold value, increasing the preset period.

In this embodiment, step 312 specifically includes: under the condition that the distance between the grid point coordinates of the currently acquired air pressure grid point data and the last acquired air pressure grid point data is smaller than a first small difference threshold value, increasing a preset period according to a first increase proportion; and under the condition that the absolute value of the difference value of the air pressure value of the currently acquired air pressure lattice point data and the air pressure value of the last acquired air pressure lattice point data is smaller than a second small difference threshold value, increasing the preset period according to a second increase proportion.

Has the advantages that: in the process of periodically acquiring the air pressure lattice point data of the area to be identified, under the condition that the air pressure lattice point data changes greatly, the acquisition period can be shortened properly, the air pressure lattice point data can be acquired more frequently, and misleading to judgment of technicians caused by missing key data is avoided. In addition, under the condition that the change of the air pressure lattice point data is small, the acquisition period can be properly increased, the frequency of acquiring the air pressure lattice point data is reduced, the calculation amount is reduced, and the overall identification efficiency is improved.

Example 3

Referring to fig. 5 and 6, the present application provides an arminson low voltage identification method, including:

510. and acquiring air pressure lattice point data of the area to be identified in the monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value.

520. Drawing an air pressure lattice point color map of the area to be identified, wherein the color depth of each lattice point is inversely proportional to the air pressure value; the dark area of the air pressure lattice point color image is identified as an absolute target area through an image processing method.

530. And finding the air pressure grid point with the minimum air pressure value from the air pressure grid point data in the absolute target area as an absolute center grid point, taking the air pressure value of the absolute center grid point as absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as an absolute center position.

Has the advantages that: after the air pressure grid point color image is drawn, a dark color area, namely a low-pressure area, can be efficiently found through an image processing method, and the dark color area is used as an absolute target area. In fig. 6, a dark color area 610 in the area 600 to be recognized is an absolute target area, and an absolute center grid point 601 with the minimum air pressure value can be found more quickly in the absolute target area 610.

Example 4

Referring to fig. 7, the present application provides an arminson low voltage identification method, including:

710. and acquiring air pressure lattice point data of the area to be identified in the monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value.

720. And calculating the average value of the air pressure values in the air pressure grid point data in the area to be identified, and calculating the difference value between the air pressure value of each air pressure grid point data and the average value to be used as a relative air pressure value.

730. Drawing a relative air pressure lattice point color map of the area to be identified, wherein the color depth of each lattice point is inversely proportional to the relative air pressure value; the dark area of the relative air pressure lattice point color image is identified as the relative target area through the image processing method.

740. And finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data in the relative target area as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

Has the advantages that: after the relative air pressure grid point color image is drawn, a dark color area, namely a low-pressure area, can be efficiently found through an image processing method, and the dark color area is taken as a relative target area. The relative center grid point with the minimum air pressure value can be found more quickly in the relative target area.

An arminson low voltage identification system:

referring to fig. 8, the present application provides an armon low voltage identification system, which includes: the recognition server 51; the recognition server 51 is configured to perform any of the above-described methods of aponson low voltage recognition.

The identification system further comprises: a plurality of query terminals 52; the identification server 51 is further configured to receive an inquiry instruction sent by each inquiry terminal 52, where the inquiry instruction includes a monitoring time period and/or an area to be identified; the identification server 51 is further configured to output the corresponding data of the absolute center grid point and the corresponding data of the relative center grid point to the corresponding query terminal 52.

Referring to fig. 9, the recognition server 51 includes one or more processors 901, one or more input devices 902, one or more output devices 903, and a memory 904, the processors 901, the input devices 902, the output devices 903, and the memory 904 being connected by a bus 905, the memory 904 being used to store computer programs including program instructions, and the processors 901 being used to execute the program instructions stored by the memory 904.

The processor 901 is configured to invoke the program instructions to perform the following operations:

acquiring air pressure lattice point data of an area to be identified in a monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value;

finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data as an absolute center grid point, taking the air pressure value of the absolute center grid point as the absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as the absolute center position;

calculating the average value of the air pressure values in the air pressure grid point data in the area to be identified, and calculating the difference value between the air pressure value of each air pressure grid point data and the average value as a relative air pressure value;

and finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

Processor 901 may be a Central Processing Unit (CPU), which may also be other general purpose processors, Digital Signal Processors (DSP), Application Specific Integrated Circuits (ASIC), Field-Programmable Gate arrays (FPGA) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc.; a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The input device 902 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 903 may include a display (LCD, etc.), a speaker, etc.

The memory 904 may include both read-only memory and random access memory, and provides instructions and data to the processor 901. A portion of the memory 904 may also include non-volatile random access memory. For example, memory 904 may also store device type information.

The processor 901, the input device 902, and the output device 903 may execute the implementations described in embodiment 1 and embodiment 2 of the endurance testing method provided in the embodiment of the present invention, and may also execute the implementation of the terminal device described in the embodiment of the present invention.

A computer-readable storage medium:

a computer-readable storage medium storing a computer program comprising program instructions that when executed by a processor implement the steps of:

acquiring air pressure lattice point data of an area to be identified in a monitoring time period, wherein the air pressure lattice point data comprises lattice point coordinates and an air pressure value;

finding out the air pressure grid point with the minimum air pressure value from the air pressure grid point data as an absolute center grid point, taking the air pressure value of the absolute center grid point as the absolute center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the absolute center grid point as the absolute center position;

calculating the average value of the air pressure values in the air pressure grid point data in the area to be identified, and calculating the difference value between the air pressure value of each air pressure grid point data and the average value as a relative air pressure value;

and finding out the air pressure grid point with the minimum relative air pressure value from the air pressure grid point data as a relative center grid point, taking the relative air pressure value of the relative center grid point as relative center intensity, and taking the longitude and the latitude corresponding to the grid point coordinate of the relative center grid point as a relative center position.

The computer-readable storage medium may be an internal storage unit of the terminal device in any of the foregoing embodiments, for example, a hard disk or a memory of the terminal device; the computer-readable storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided in the terminal device. Further, the computer-readable storage medium may include both an internal storage unit and an external storage device of the terminal device. The computer-readable storage medium stores the computer program and other programs and data required by the terminal device. The above-described computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal device and the unit described above may refer to corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed terminal device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the technical solution of the present invention essentially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. Especially, as for the device, apparatus and medium type embodiments, since they are basically similar to the method embodiments, the description is simple, and the related points may refer to part of the description of the method embodiments, which is not repeated here.

Thus, particular embodiments of the present subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may be advantageous.

The expressions "first", "second", "first" or "second" used in various embodiments of the present disclosure may modify various components regardless of order and/or importance, but these expressions do not limit the respective components. The above description is only configured for the purpose of distinguishing elements from other elements. For example, the first user equipment and the second user equipment represent different user equipment, although both are user equipment. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of the present disclosure.

When an element (e.g., a first element) is referred to as being "operably or communicatively coupled" or "connected" (operably or communicatively) to "another element (e.g., a second element) or" connected "to another element (e.g., a second element), it is understood that the element is directly connected to the other element or the element is indirectly connected to the other element via yet another element (e.g., a third element). In contrast, it is understood that when an element (e.g., a first element) is referred to as being "directly connected" or "directly coupled" to another element (a second element), no element (e.g., a third element) is interposed therebetween.

The above description is only an alternative embodiment of the application and is illustrative of the technical principles applied. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.

The foregoing is illustrative of only alternative embodiments of the present application and is not intended to limit the present application, which may be modified or varied by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.