CN113486703A - Intelligent numerical extraction system and method based on group height analysis - Google Patents
Intelligent numerical extraction system and method based on group height analysis Download PDFInfo
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Abstract
The invention relates to an intelligent numerical extraction system based on group height analysis, which comprises: the numerical value judgment device is used for acquiring each real-time flight height corresponding to each dragonfly target, and taking the average value of a plurality of real-time analysis heights left after the lowest value of the preset number is removed and the highest value of the preset number is removed in each real-time flight height as the group flight height; the probability extraction device is used for mapping the corresponding local rainfall probability based on the received group flight height; and the arrangement and control detection mechanism is arranged at the lakeside and performs image signal capturing operation on an airspace above the lakeside at a pitching viewing angle. The invention also relates to an intelligent numerical extraction method based on group height analysis. According to the invention, the whole flight heights of the groups of dragonfly targets at lakesides can be extracted in real time by adopting a targeted intelligent detection mode, and the corresponding rainfall probability is analyzed based on the extraction result, so that the intelligent level of rainfall probability acquisition is improved.
Description
Technical Field
The invention relates to the field of intelligent identification, in particular to an intelligent numerical extraction system and method based on population height analysis.
Background
Video surveillance is an important branch of intelligent identification. The video monitoring is to monitor, record and backtrack the video image by acquiring the video image information of the monitored target, and manually or automatically make corresponding actions according to the video image information to achieve the monitoring, control, safety precaution and intelligent management of the monitored target, and the video monitoring is widely applied to a plurality of public occasions such as military affairs, customs, public security, fire protection, forestry, dams, airports, railways, ports, urban traffic and the like, and is gradually popularized to the application of family safety precaution and entertainment along with the improvement of the technology and the reduction of the cost. Monitoring technology goes through many different stages, and image monitoring technology is the core content of video monitoring.
Functionally, video monitoring can be used for safety precaution, information acquisition, command scheduling and other aspects, can provide production flow control and security protection of large-scale public facilities, and can also provide various services for medical monitoring, remote education and the like. From the application field, video monitoring is widely applied in various industries, and in addition to monitoring and alarming of important departments such as archives, file rooms, vaults, museums and the like, safety monitoring is carried out in public places, and management and control in other economic and living fields are also indispensable.
In the prior art, people know that the dragonfly flight height is related to the rainfall probability, but a specific numerical analysis model cannot be established, so that the rainfall probability of each place still needs to be estimated in a cloud layer analysis mode and the like, and an auxiliary rainfall probability judgment mode comprising the dragonfly flight height analysis rainfall probability and the like is lacked, so that the rainfall probability estimation mode is too single, and the precision cannot meet the more and more delicate requirements of people.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides an intelligent numerical extraction system and method based on group height analysis, which can adopt a targeted intelligent detection mode to extract the integral flight height of each dragonfly target group at lakesides in real time, and analyze the corresponding rainfall probability based on the extraction result, thereby realizing the intelligent collection of the rainfall probability numerical value.
Compared with the prior art, the invention has at least the following prominent substantive characteristics:
(1) simultaneously analyzing the actual flight heights of the dragonfly targets at lakesides by adopting an intelligent synchronous detection mode, thereby providing key parameters for subsequent numerical analysis;
(2) the method comprises the steps of obtaining each real-time flight height corresponding to each dragonfly target, taking the average value of a plurality of real-time analysis heights left after the lowest value of the preset number and the highest value of the preset number are removed in each real-time flight height as a group flight height, and mapping out corresponding local rainfall probability based on the received group flight height, so that the intelligent extraction of the local rainfall probability is realized.
According to an aspect of the present invention, there is provided an intelligent numerical extraction system based on population height analysis, the system comprising:
the numerical value judgment device is connected with the height analysis device and is used for acquiring each real-time flight height corresponding to each dragonfly target respectively, and outputting the average value of a plurality of residual real-time analysis heights after the lowest value of the preset number and the highest value of the preset number are removed in each real-time flight height as the group flight height;
the probability extraction device is connected with the numerical judgment device and used for mapping the corresponding local rainfall probability based on the received group flight heights;
the arrangement control detection mechanism is arranged at the lakeside and performs image signal capturing operation on an airspace above the lakeside at a pitching viewing angle so as to obtain a corresponding lakeside airspace picture;
the first processing mechanism is arranged in an electric box at a lakeside, is connected with the distribution and control detection mechanism and is used for executing box-type filtering processing on the received lakeside airspace picture to obtain a first processing picture;
the second processing mechanism is arranged in the electrical box, connected with the first processing mechanism and used for carrying out edge sharpening processing on the received first processing picture so as to obtain a second processing picture;
the target identification device is connected with the second processing mechanism and used for identifying each target sub-picture in which each dragonfly target is respectively located from the second processing picture based on a reference dragonfly picture, and further determining the whole depth of field value of the corresponding dragonfly target based on each depth of field value of each pixel point of each target sub-picture;
the height analyzing equipment is connected with the target identification equipment and is used for estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism;
wherein the local rain probability corresponding to the received group flight altitude map comprises: the lower the received group flight altitude, the higher the corresponding local rain probability of the mapping;
wherein, determining the overall depth of field value of the corresponding dragonfly target based on the depth of field value of each pixel point of each target sub-picture comprises: taking the arithmetic mean value of each depth of field value of each pixel point of the target sub-picture as the whole depth of field value of the corresponding dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height of the corresponding dragonfly target is in monotonic positive correlation with the integral depth of field value of the dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height corresponding to the dragonfly target is in monotonic positive correlation with the capture focal length of the cloth control detection mechanism.
According to another aspect of the present invention, there is also provided an intelligent numerical extraction method based on population height analysis, the method including:
the height analysis device is connected with the height analysis device and used for acquiring real-time flight heights corresponding to the dragonfly targets respectively, and outputting the average value of the plurality of real-time analysis heights which are left after the lowest value of the preset number of the real-time flight heights is removed and the highest value of the preset number of the real-time analysis heights is removed as the group flight height;
the probability extraction equipment is connected with the numerical judgment equipment and used for mapping the corresponding local rainfall probability based on the received group flight height;
the method comprises the steps that a distribution control detection mechanism is used and arranged at a lakeside, and image signal capturing operation is carried out on an airspace above the lakeside at a pitching viewing angle, so that a corresponding lakeside airspace picture is obtained;
the first processing mechanism is arranged in an electric box at a lakeside, is connected with the distribution and control detection mechanism and is used for executing box-type filtering processing on the received lakeside airspace picture to obtain a first processing picture;
using a second processing mechanism, arranged in the electrical box, connected to the first processing mechanism, and configured to perform edge sharpening on the received first processed picture to obtain a second processed picture;
using a target identification device connected to the second processing mechanism, for identifying, from the second processing picture, each target sub-picture in which each dragonfly target is respectively located based on a reference dragonfly picture, and further determining an overall depth of field value of the corresponding dragonfly target based on each depth of field value of each pixel point of each target sub-picture;
using a height analyzing device connected with the target identifying device and used for estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism;
wherein the local rain probability corresponding to the received group flight altitude map comprises: the lower the received group flight altitude, the higher the corresponding local rain probability of the mapping;
wherein, determining the overall depth of field value of the corresponding dragonfly target based on the depth of field value of each pixel point of each target sub-picture comprises: taking the arithmetic mean value of each depth of field value of each pixel point of the target sub-picture as the whole depth of field value of the corresponding dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height of the corresponding dragonfly target is in monotonic positive correlation with the integral depth of field value of the dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height corresponding to the dragonfly target is in monotonic positive correlation with the capture focal length of the cloth control detection mechanism.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of an intelligent numerical extraction system based on population height analysis according to an embodiment of the present invention.
Detailed Description
An embodiment of the population height analysis-based intelligent numerical extraction method according to the present invention will be described in detail below with reference to the accompanying drawings.
Dragonfly is the generic name for invertebrates, entomomycetes, insects of the order dragonflies, the suborder heterodera. The base of the posterior wing is slightly larger than the base of the anterior wing, and the veins are slightly different. When resting, the four wings are unfolded and laid on both sides. The larvae are short and thick, have rectal gills and no tail gills. Comprises 3 subjects including Aeschynoidea, Cordulegastroidea, and Libelluloidea, 11 subjects. Dragonflies and dragonflies are the most common.
Dragonfly is a carnivorous insect. They are predatory to a variety of agricultural and forestry animal husbandry pests, such as flies, mosquitoes, leafhoppers, gadflies, midges, and small butterfly moths. Dragonfly is an important natural enemy insect group beneficial to humans. "dragonfly nods water" is the biological characteristic of dragonfly laying eggs in water. Its larva (larva) lives in water, the life period varies with species, the life of the dragonfly is 2 years, and the growth of some dragonfly is 3-5 years. The dragonfly can be used for monitoring environmental pollution, and has medicinal, edible and ornamental values.
In the prior art, people know that the dragonfly flight height is related to the rainfall probability, but a specific numerical analysis model cannot be established, so that the rainfall probability of each place still needs to be estimated in a cloud layer analysis mode and the like, and an auxiliary rainfall probability judgment mode comprising the dragonfly flight height analysis rainfall probability and the like is lacked, so that the rainfall probability estimation mode is too single, and the precision cannot meet the more and more delicate requirements of people.
In order to overcome the defects, the invention builds an intelligent numerical extraction system and method based on population height analysis, and can effectively solve the corresponding technical problems.
Fig. 1 is a schematic structural diagram of an intelligent numerical extraction system based on population height analysis according to an embodiment of the present invention, the system including:
the numerical value judgment device is connected with the height analysis device and is used for acquiring each real-time flight height corresponding to each dragonfly target respectively, and outputting the average value of a plurality of residual real-time analysis heights after the lowest value of the preset number and the highest value of the preset number are removed in each real-time flight height as the group flight height;
the probability extraction device is connected with the numerical judgment device and used for mapping the corresponding local rainfall probability based on the received group flight heights;
the arrangement control detection mechanism is arranged at the lakeside and performs image signal capturing operation on an airspace above the lakeside at a pitching viewing angle so as to obtain a corresponding lakeside airspace picture;
the first processing mechanism is arranged in an electric box at a lakeside, is connected with the distribution and control detection mechanism and is used for executing box-type filtering processing on the received lakeside airspace picture to obtain a first processing picture;
the second processing mechanism is arranged in the electrical box, connected with the first processing mechanism and used for carrying out edge sharpening processing on the received first processing picture so as to obtain a second processing picture;
the target identification device is connected with the second processing mechanism and used for identifying each target sub-picture in which each dragonfly target is respectively located from the second processing picture based on a reference dragonfly picture, and further determining the whole depth of field value of the corresponding dragonfly target based on each depth of field value of each pixel point of each target sub-picture;
the height analyzing equipment is connected with the target identification equipment and is used for estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism;
wherein the local rain probability corresponding to the received group flight altitude map comprises: the lower the received group flight altitude, the higher the corresponding local rain probability of the mapping;
wherein, determining the overall depth of field value of the corresponding dragonfly target based on the depth of field value of each pixel point of each target sub-picture comprises: taking the arithmetic mean value of each depth of field value of each pixel point of the target sub-picture as the whole depth of field value of the corresponding dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height of the corresponding dragonfly target is in monotonic positive correlation with the integral depth of field value of the dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height corresponding to the dragonfly target is in monotonic positive correlation with the capture focal length of the cloth control detection mechanism.
Next, a detailed configuration of the population height analysis-based intelligent numerical extraction system according to the present invention will be described further.
The intelligent numerical extraction system based on population height analysis can further comprise:
and the uninterrupted power supply device is arranged in an electrical box at a lakeside and is respectively connected with the first processing mechanism, the second processing mechanism, the target identification equipment, the height analysis equipment, the numerical value judgment equipment and the probability extraction equipment.
In the intelligent numerical extraction system based on population height analysis:
the uninterruptible power supply device converts the power supply voltages required by the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical judgment device and the probability extraction device through a built-in voltage conversion unit.
The intelligent numerical extraction system based on population height analysis can further comprise:
the heat measuring mechanism is arranged in an electrical cabinet at a lakeside and comprises a plurality of heat measuring units which are respectively connected with the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical value judgment device and the probability extraction device.
In the intelligent numerical extraction system based on population height analysis:
each of the plurality of heat measuring units is used for executing corresponding heat alarm operation when the real-time heat emission of the equipment measured by the heat measuring unit exceeds the limit.
The intelligent numerical extraction method based on the group height analysis according to the embodiment of the invention comprises the following steps:
the height analysis device is connected with the height analysis device and used for acquiring real-time flight heights corresponding to the dragonfly targets respectively, and outputting the average value of the plurality of real-time analysis heights which are left after the lowest value of the preset number of the real-time flight heights is removed and the highest value of the preset number of the real-time analysis heights is removed as the group flight height;
the probability extraction equipment is connected with the numerical judgment equipment and used for mapping the corresponding local rainfall probability based on the received group flight height;
the method comprises the steps that a distribution control detection mechanism is used and arranged at a lakeside, and image signal capturing operation is carried out on an airspace above the lakeside at a pitching viewing angle, so that a corresponding lakeside airspace picture is obtained;
the first processing mechanism is arranged in an electric box at a lakeside, is connected with the distribution and control detection mechanism and is used for executing box-type filtering processing on the received lakeside airspace picture to obtain a first processing picture;
using a second processing mechanism, arranged in the electrical box, connected to the first processing mechanism, and configured to perform edge sharpening on the received first processed picture to obtain a second processed picture;
using a target identification device connected to the second processing mechanism, for identifying, from the second processing picture, each target sub-picture in which each dragonfly target is respectively located based on a reference dragonfly picture, and further determining an overall depth of field value of the corresponding dragonfly target based on each depth of field value of each pixel point of each target sub-picture;
using a height analyzing device connected with the target identifying device and used for estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism;
wherein the local rain probability corresponding to the received group flight altitude map comprises: the lower the received group flight altitude, the higher the corresponding local rain probability of the mapping;
wherein, determining the overall depth of field value of the corresponding dragonfly target based on the depth of field value of each pixel point of each target sub-picture comprises: taking the arithmetic mean value of each depth of field value of each pixel point of the target sub-picture as the whole depth of field value of the corresponding dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height of the corresponding dragonfly target is in monotonic positive correlation with the integral depth of field value of the dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height corresponding to the dragonfly target is in monotonic positive correlation with the capture focal length of the cloth control detection mechanism.
Next, the specific steps of the population height analysis-based intelligent numerical extraction method of the present invention will be further described.
The intelligent numerical extraction method based on population height analysis can further comprise the following steps:
and an uninterruptible power supply device is arranged in an electrical box at the lakeside and is respectively connected with the first processing mechanism, the second processing mechanism, the target identification equipment, the height analysis equipment, the numerical value judgment equipment and the probability extraction equipment.
In the intelligent numerical extraction method based on population height analysis:
the uninterruptible power supply device converts the power supply voltages required by the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical judgment device and the probability extraction device through a built-in voltage conversion unit.
The intelligent numerical extraction method based on population height analysis can further comprise the following steps:
the system comprises a plurality of heat measuring units, a target identification device, a height analysis device, a numerical value judgment device and a probability extraction device, wherein the heat measuring units are arranged in an electrical box at lakeside and are respectively connected with the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical value judgment device and the probability extraction device.
In the intelligent numerical extraction method based on population height analysis:
each of the plurality of heat measuring units is used for executing corresponding heat alarm operation when the real-time heat emission of the equipment measured by the heat measuring unit exceeds the limit.
In addition, in the group height analysis-based intelligent numerical extraction system and method, the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical judgment device, and the probability extraction device may be implemented by using different MCU chips. The MCU may be classified into a non-on-chip ROM type and an on-chip ROM type according to its memory type. For a chip without on-chip ROM, an EPROM must be connected externally to be used (8031 is a typical chip). The chip with on-chip ROM type is further classified into an on-chip EPROM type (a typical chip is 87C51), a MASK on-chip MASK ROM type (a typical chip is 8051), an on-chip FLASH type (a typical chip is 89C51), and the like, and some companies also provide a chip with on-chip One Time Programming (OTP) (a typical chip is 97C 51). The MCU of the MASKROM is low in price, but the program is solidified when leaving the factory, so that the MASKROM is suitable for application occasions with fixed and unchangeable programs; the MCU program of the FLASH ROM can be repeatedly erased and written, has strong flexibility but higher price, and is suitable for application occasions insensitive to price or development application; the MCU price of the OTPROM is between the first two, and the OTPROM has one-time programmable capability, is suitable for application occasions requiring certain flexibility and low cost, and is especially an electronic product with continuously renewed functions and rapid mass production.
By adopting the intelligent numerical extraction system and method based on group height analysis, the technical problem that a reliable rainfall probability analysis mechanism cannot be established based on the dragonfly flight height in the prior art is solved, the whole group flight height of each dragonfly target at lakesides can be extracted in real time by adopting a targeted intelligent detection mode, and the corresponding rainfall probability is analyzed based on the extraction result, so that the intelligent level of rainfall probability collection is improved.
Various features of the present invention have been described in detail with reference to the embodiments. It is to be understood that such specific descriptions are merely illustrative of the invention that is best construed within the scope of the appended claims.
Claims (10)
1. An intelligent numerical extraction system based on population height analysis, which is characterized by comprising:
the numerical value judgment device is connected with the height analysis device and is used for acquiring each real-time flight height corresponding to each dragonfly target respectively, and outputting the average value of a plurality of residual real-time analysis heights after the lowest value of the preset number and the highest value of the preset number are removed in each real-time flight height as the group flight height;
the probability extraction device is connected with the numerical judgment device and used for mapping the corresponding local rainfall probability based on the received group flight heights;
the arrangement control detection mechanism is arranged at the lakeside and performs image signal capturing operation on an airspace above the lakeside at a pitching viewing angle so as to obtain a corresponding lakeside airspace picture;
the first processing mechanism is arranged in an electric box at a lakeside, is connected with the distribution and control detection mechanism and is used for executing box-type filtering processing on the received lakeside airspace picture to obtain a first processing picture;
the second processing mechanism is arranged in the electrical box, connected with the first processing mechanism and used for carrying out edge sharpening processing on the received first processing picture so as to obtain a second processing picture;
the target identification device is connected with the second processing mechanism and used for identifying each target sub-picture in which each dragonfly target is respectively located from the second processing picture based on a reference dragonfly picture, and further determining the whole depth of field value of the corresponding dragonfly target based on each depth of field value of each pixel point of each target sub-picture;
the height analyzing equipment is connected with the target identification equipment and is used for estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism;
wherein the local rain probability corresponding to the received group flight altitude map comprises: the lower the received group flight altitude, the higher the corresponding local rain probability of the mapping;
wherein, determining the overall depth of field value of the corresponding dragonfly target based on the depth of field value of each pixel point of each target sub-picture comprises: taking the arithmetic mean value of each depth of field value of each pixel point of the target sub-picture as the whole depth of field value of the corresponding dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height of the corresponding dragonfly target is in monotonic positive correlation with the integral depth of field value of the dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height corresponding to the dragonfly target is in monotonic positive correlation with the capture focal length of the cloth control detection mechanism.
2. The population height resolution-based intelligent numerical extraction system of claim 1, further comprising:
and the uninterrupted power supply device is arranged in an electrical box at a lakeside and is respectively connected with the first processing mechanism, the second processing mechanism, the target identification equipment, the height analysis equipment, the numerical value judgment equipment and the probability extraction equipment.
3. The intelligent population height resolution-based numerical extraction system of claim 2, wherein:
the uninterruptible power supply device converts the power supply voltages required by the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical judgment device and the probability extraction device through a built-in voltage conversion unit.
4. The population height resolution-based intelligent numerical extraction system of claim 3, further comprising:
the heat measuring mechanism is arranged in an electrical cabinet at a lakeside and comprises a plurality of heat measuring units which are respectively connected with the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical value judgment device and the probability extraction device.
5. The intelligent population height resolution-based numerical extraction system of claim 4, wherein:
each of the plurality of heat measuring units is used for executing corresponding heat alarm operation when the real-time heat emission of the equipment measured by the heat measuring unit exceeds the limit.
6. An intelligent numerical extraction method based on population height analysis is characterized by comprising the following steps:
the height analysis device is connected with the height analysis device and used for acquiring real-time flight heights corresponding to the dragonfly targets respectively, and outputting the average value of the plurality of real-time analysis heights which are left after the lowest value of the preset number of the real-time flight heights is removed and the highest value of the preset number of the real-time analysis heights is removed as the group flight height;
the probability extraction equipment is connected with the numerical judgment equipment and used for mapping the corresponding local rainfall probability based on the received group flight height;
the method comprises the steps that a distribution control detection mechanism is used and arranged at a lakeside, and image signal capturing operation is carried out on an airspace above the lakeside at a pitching viewing angle, so that a corresponding lakeside airspace picture is obtained;
the first processing mechanism is arranged in an electric box at a lakeside, is connected with the distribution and control detection mechanism and is used for executing box-type filtering processing on the received lakeside airspace picture to obtain a first processing picture;
using a second processing mechanism, arranged in the electrical box, connected to the first processing mechanism, and configured to perform edge sharpening on the received first processed picture to obtain a second processed picture;
using a target identification device connected to the second processing mechanism, for identifying, from the second processing picture, each target sub-picture in which each dragonfly target is respectively located based on a reference dragonfly picture, and further determining an overall depth of field value of the corresponding dragonfly target based on each depth of field value of each pixel point of each target sub-picture;
using a height analyzing device connected with the target identifying device and used for estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism;
wherein the local rain probability corresponding to the received group flight altitude map comprises: the lower the received group flight altitude, the higher the corresponding local rain probability of the mapping;
wherein, determining the overall depth of field value of the corresponding dragonfly target based on the depth of field value of each pixel point of each target sub-picture comprises: taking the arithmetic mean value of each depth of field value of each pixel point of the target sub-picture as the whole depth of field value of the corresponding dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height of the corresponding dragonfly target is in monotonic positive correlation with the integral depth of field value of the dragonfly target;
wherein estimating the real-time flight height of each dragonfly target based on the overall depth of field value of the dragonfly target and the capture focal length of the cloth control detection mechanism comprises: under the condition that the integral depth of field value of the dragonfly target is not changed, the estimated real-time flight height corresponding to the dragonfly target is in monotonic positive correlation with the capture focal length of the cloth control detection mechanism.
7. The intelligent numerical extraction method based on population height analysis according to claim 6, further comprising:
and an uninterruptible power supply device is arranged in an electrical box at the lakeside and is respectively connected with the first processing mechanism, the second processing mechanism, the target identification equipment, the height analysis equipment, the numerical value judgment equipment and the probability extraction equipment.
8. The intelligent numerical extraction method based on population height analysis according to claim 7, characterized in that:
the uninterruptible power supply device converts the power supply voltages required by the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical judgment device and the probability extraction device through a built-in voltage conversion unit.
9. The intelligent numerical extraction method based on population height analysis according to claim 8, further comprising:
the system comprises a plurality of heat measuring units, a target identification device, a height analysis device, a numerical value judgment device and a probability extraction device, wherein the heat measuring units are arranged in an electrical box at lakeside and are respectively connected with the first processing mechanism, the second processing mechanism, the target identification device, the height analysis device, the numerical value judgment device and the probability extraction device.
10. The intelligent numerical extraction method based on population height analysis according to claim 9, characterized in that:
each of the plurality of heat measuring units is used for executing corresponding heat alarm operation when the real-time heat emission of the equipment measured by the heat measuring unit exceeds the limit.
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| CN117252864A (en) * | 2023-11-14 | 2023-12-19 | 海澜智云科技有限公司 | Steel production device smoothness detection system based on identification analysis |
| CN117252864B (en) * | 2023-11-14 | 2024-01-26 | 海澜智云科技有限公司 | Steel production device smoothness detection system based on identification analysis |
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