CN112183218A - Method and device for monitoring industrial production index - Google Patents
Method and device for monitoring industrial production index Download PDFInfo
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Abstract
The invention provides a method and a device for monitoring an industrial production index, wherein the method comprises the steps of determining a coordinate set of a preset shape range of an industrial area to be monitored, determining multispectral data of a remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set, extracting data of a plurality of preset wave bands in the multispectral data of the remote sensing satellite in the preset period, obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands, determining a binary image of the industrial area to be monitored, counting the number of pixel points of which the pixels meet preset pixel conditions in the binary image of the industrial area to be monitored in the preset period, and obtaining the industrial production index of the industrial area to be monitored in the preset period. Compared with the method for constructing a prediction model in the prior art, the method has low complexity in the data processing process through monitoring the industrial production index based on the remote sensing data, and can realize the monitoring of the industrial production index in any range of any region.
Description
Technical Field
The invention relates to the field of financial technology (Fintech), in particular to a method and a device for monitoring an industrial production index.
Background
With the development of computer technology, more and more technologies are applied in the financial field, and the traditional financial industry is gradually changing to financial technology, but due to the requirements of the financial industry on safety and real-time performance, higher requirements are also put forward on the technologies. In the data monitoring technology in the financial field, monitoring the industrial production index is an important problem in the data monitoring technology.
In the process of monitoring industrial production activities, a large number of sensors are generally required to be used for carrying out data monitoring on a monitored object, but the method is only suitable for small-scale factories, the number of the sensors required by the large-scale factories is large, and a large amount of cost investment is required. In addition, in the data analysis process, various data prediction models need to be constructed, the data requirement is high, the processing process is complex, and the application is difficult to realize.
In summary, there is a need for a method for monitoring industrial production index to reduce the difficulty of industrial production monitoring.
Disclosure of Invention
The invention provides a method and a device for monitoring an industrial production index, which can solve the problems that the investment of large-scale factory monitoring cost is high and the data processing process is complex and difficult to realize in the prior art.
In a first aspect, the present invention provides a method of monitoring an industrial production index, comprising:
determining a coordinate set of a preset shape range of an industrial area to be monitored;
determining multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set;
extracting data of a plurality of preset wave bands in multispectral data of the remote sensing satellite in the preset period, obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands, and determining a binary image of the industrial area to be monitored;
and counting the number of pixel points of which the pixels meet preset pixel conditions in a binary image of the industrial area to be monitored in the preset period to obtain the industrial production index of the industrial area to be monitored in the preset period.
According to the technical scheme, the remote sensing data corresponding to the coordinate set is obtained by determining the coordinate set of the preset shape range of the industrial area to be monitored, then the remote sensing data is processed after extracting data of the preset wave band, the image of the industrial area to be monitored is obtained and subjected to binarization processing, the number of pixel points under the pixel preset pixel condition is counted, and the industrial production index can be monitored. The installation of the sensor equipment is not involved in the monitoring process, so that the investment cost of industrial production monitoring can be reduced. Compared with the method for constructing a prediction model in the prior art, the method has low complexity in the data processing process through monitoring the industrial production index based on the remote sensing data, and can realize the monitoring of the industrial production index in any range of any region.
Optionally, the determining a binary image of the industrial area to be monitored includes:
performing color conversion on the image of the industrial area to be monitored to obtain color space data of the image of the industrial area to be monitored;
and extracting colors of the color space data according to a set extraction range, setting pixels of the pixel points which accord with the set extraction range as a first numerical value, and setting pixels of the pixel points which do not accord with the set extraction range as a second numerical value.
In the technical scheme, the image of the industrial area to be monitored is converted into the binary image, so that the image processing efficiency can be improved, and the efficiency of monitoring the industrial production index can be improved.
Optionally, the performing color conversion on the image of the industrial area to be monitored to obtain color space data of the image of the industrial area to be monitored includes:
and performing color conversion from an RGB (Red Green Blue) color space to an HSV (Hue, Saturation, Value) color space on the image of the industrial area to be monitored to obtain HVS color space data of the image of the industrial area to be monitored.
Optionally, the determining a coordinate set of a preset shape range of the industrial area to be monitored includes:
acquiring an industrial area to be monitored and a central point coordinate of the industrial area to be monitored;
and taking the central point coordinate of the industrial area to be monitored as an original point, and expanding the area in the preset shape range to obtain a coordinate set of the preset shape range of the industrial area to be monitored.
Optionally, the coordinates in the coordinate set are longitude and latitude coordinates;
the determining multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set comprises the following steps:
and determining multispectral data of the remote sensing satellite corresponding to the longitude and latitude coordinates in the coordinate set in a preset period from a remote sensing satellite database based on the longitude and latitude coordinates in the coordinate set.
Optionally, the obtaining an image of the industrial area to be monitored based on the data of the plurality of preset bands includes:
carrying out normalization processing on the data of the plurality of preset wave bands;
and merging the data of the plurality of preset wave bands after normalization processing to obtain the image of the industrial area to be monitored.
Optionally, the normalizing the data of the plurality of preset bands includes:
determining the ratio of the product of the first difference value and a preset threshold value to the second difference value as the data of the preset wave band after normalization processing aiming at any preset wave band in the plurality of preset wave bands; the first difference value is a difference value between the value of the data of the preset wave band and the minimum value of the preset wave band; the second difference is a difference between a maximum value and a minimum value of the preset waveband.
Optionally, after obtaining the industrial production index of the industrial area to be monitored in the preset period, the method further includes:
and analyzing the industrial production index of the industrial area to be monitored in the preset period to determine the industrial production condition of the industrial area to be monitored.
In a second aspect, an embodiment of the present invention provides an apparatus for monitoring an industrial production index, including:
the determining unit is used for determining a coordinate set of a preset shape range of the industrial area to be monitored;
the processing unit is used for determining multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set; extracting data of a plurality of preset wave bands in the remote sensing satellite multispectral data in the preset period, and obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands; determining a binary image of the industrial area to be monitored; and counting the number of pixel points of which the pixels meet preset pixel conditions in a binary image of the industrial area to be monitored in the preset period to obtain the industrial production index of the industrial area to be monitored in the preset period.
Optionally, the processing unit is specifically configured to:
performing color conversion on the image of the industrial area to be monitored to obtain color space data of the image of the industrial area to be monitored;
and extracting colors of the color space data according to a set extraction range, setting pixels of the pixel points which accord with the set extraction range as a first numerical value, and setting pixels of the pixel points which do not accord with the set extraction range as a second numerical value.
Optionally, the processing unit is specifically configured to:
and carrying out color conversion from an RGB color space to an HSV color space on the image of the industrial area to be monitored to obtain HVS color space data of the image of the industrial area to be monitored.
Optionally, the determining unit is specifically configured to:
acquiring an industrial area to be monitored and a central point coordinate of the industrial area to be monitored;
and taking the central point coordinate of the industrial area to be monitored as an original point, and expanding the area in the preset shape range to obtain a coordinate set of the preset shape range of the industrial area to be monitored.
Optionally, the coordinates in the coordinate set are longitude and latitude coordinates;
the processing unit is specifically configured to:
and determining multispectral data of the remote sensing satellite corresponding to the longitude and latitude coordinates in the coordinate set in a preset period from a remote sensing satellite database based on the longitude and latitude coordinates in the coordinate set.
Optionally, the processing unit is specifically configured to:
carrying out normalization processing on the data of the plurality of preset wave bands;
and merging the data of the plurality of preset wave bands after normalization processing to obtain the image of the industrial area to be monitored.
Optionally, the processing unit is specifically configured to:
determining the ratio of the product of the first difference value and a preset threshold value to the second difference value as the data of the preset wave band after normalization processing aiming at any preset wave band in the plurality of preset wave bands; the first difference value is a difference value between the value of the data of the preset wave band and the minimum value of the preset wave band; the second difference is a difference between a maximum value and a minimum value of the preset waveband.
Optionally, the processing unit is further configured to:
and after the industrial production index of the industrial area to be monitored in the preset period is obtained, analyzing the industrial production index of the industrial area to be monitored in the preset period to determine the industrial production condition of the industrial area to be monitored.
In a third aspect, the invention provides a computing device comprising:
a memory for storing a computer program;
a processor for calling the computer program stored in the memory and executing the method according to the first aspect according to the obtained program.
In a fourth aspect, the present invention provides a computer-readable storage medium having stored thereon a computer-executable program for causing a computer to perform the method of the first aspect.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a method for monitoring an industrial production index according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of band data of remote sensing data according to an embodiment of the present invention;
fig. 4 is a schematic diagram of an RGB image according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a binarized image according to an embodiment of the present invention;
FIG. 6 is a schematic illustration of an industrial production index provided by an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an apparatus for monitoring an industrial production index according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, 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.
Fig. 1 is a system architecture provided in an embodiment of the present invention. As shown in fig. 1, the system architecture may be a server 100 including a processor 110, a communication interface 120, and a memory 130.
The communication interface 120 is used for communicating with a terminal device, and transceiving information transmitted by the terminal device to implement communication.
The processor 110 is a control center of the server 100, connects various parts of the entire server 100 using various interfaces and lines, performs various functions of the server 100 and processes data by running or executing software programs and/or modules stored in the memory 130 and calling data stored in the memory 130. Alternatively, processor 110 may include one or more processing units.
The memory 130 may be used to store software programs and modules, and the processor 110 executes various functional applications and data processing by operating the software programs and modules stored in the memory 130. The memory 130 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to a business process, and the like. Further, the memory 130 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
It should be noted that the structure shown in fig. 1 is only an example, and the embodiment of the present invention is not limited thereto.
Based on the above description, fig. 2 schematically illustrates a process of a method for monitoring an industrial production index according to an embodiment of the present invention, where the process can be performed by an apparatus for monitoring an industrial production index.
As shown in fig. 2, the specific steps of the process include:
Firstly, acquiring an industrial area to be monitored and a central point coordinate of the industrial area to be monitored, and then expanding an area with a preset shape range by taking the central point coordinate of the industrial area to be monitored as an original point to obtain a coordinate set of the preset shape range of the industrial area to be monitored.
The coordinates in the coordinate set can be longitude and latitude coordinates or map coordinates. For example, the center point coordinate is a center point longitude and latitude coordinate, and the coordinate set is a longitude and latitude coordinate set. For convenience of description, the longitude and latitude coordinates will be described as an example.
The preset shape range may be a rectangular frame range, a circular frame range, a trapezoidal frame range, and the like, which is not specifically limited in the embodiment of the present invention. The size of the range may be set empirically. The coordinate set in the embodiment of the present invention may be coordinates of all points in the preset shape range, or may be coordinates capable of representing the preset shape range, or minimum horizontal and vertical coordinates in the preset shape range, such as a minimum longitude coordinate, a minimum latitude coordinate, a maximum longitude coordinate, and a maximum latitude coordinate.
In the specific implementation process, firstly, the industrial areas to be monitored are determined, and N industrial areas to be monitored can be obtained through a network searching and collecting mode. Simultaneously recording longitude and latitude coordinates (Lat) of the central points of the N industrial areas to be monitoredi,Loni)(i∈[1,N])。
Then, the longitude and latitude coordinates of the central point are taken as the original point, a preset shape range (such as a rectangular frame range) is outwards expanded, and a rectangular frame range BOX (BOX) can be obtainedi[ minimum longitude, minimum latitude, maximum longitude, maximum latitude](i∈[1,N]). For example: BOXi＝[Loni-Lon_bias,Lati-Lat_bias,Loni+Lon_bias,Lati+Lat_bias]。
after the coordinate set is obtained in step 201, multispectral data of the remote sensing satellite corresponding to the coordinate set may be determined, and the preset period may be set according to experience or according to a monitoring task. The plurality of predetermined bands may be empirically set, for example, the plurality of predetermined bands may include at least a short wave infrared band. The multispectral data of the remote sensing satellite can be obtained from a database of the remote sensing satellite, namely the multispectral data of the remote sensing satellite corresponding to the longitude and latitude coordinates in the coordinate set in the preset period is obtained from the multispectral data of the remote sensing satellite based on the longitude and latitude coordinates in the coordinate set. The multispectral data of the remote sensing satellite can comprise a plurality of wave bands, such as a red wave band, a green wave band, a blue wave band, a near infrared wave band, a short wave infrared wave band and the like, as shown in fig. 3.
The range of each wave Band of multispectral data of the remote sensing satellite can be shown in fig. 3, wherein Band 11 and Band 12 are two short-wave infrared wave bands. In the embodiment of the present invention, data extraction and processing will be performed by taking a plurality of bands including at least Band 12 as an example.
Firstly, normalization processing can be carried out on data of a plurality of preset wave bands, and then the data of the plurality of preset wave bands after normalization processing are combined to obtain an image of the industrial area to be monitored.
The normalization process is performed by normalizing the data of the plurality of predetermined bands to a predetermined range by using percentage truncation. Specifically, for any one of the preset bands, a ratio of a product of the first difference and the preset threshold to the second difference may be determined as the data of the preset band after the normalization processing. The first difference value is a difference value between a value of data of a preset wave band and a minimum value of the preset wave band. The second difference is the difference between the maximum value and the minimum value of the preset waveband. Wherein the maximum value and the minimum value of the preset band are the maximum value and the minimum value in the fluctuation range of the preset band. The preset threshold may be set empirically.
For example, the data of Band 12 and Band 8A, Band 4 in fig. 3 can be extracted, and the data of Band 12 and Band 8A, Band 4 can be normalized to 0-255 (preset range) by using a method such as percentage truncation.
Data RAW with Band 4band4For example, normalization yields RAWband4_sThe calculation method comprises the following steps:
RAWband4_s＝(RAWband4-RAWband4_min)*255/(RAWband4_max-RAWband4_min)；
wherein RAWband4_minAnd RAWband4_maxAre respectively RAWband4The minimum and maximum values of the fluctuation range of the wavelength band of (1).
According to the formula, normalized values RAW of three bands of Band 4, Band 8A and Band 12 can be obtained by calculation in sequenceband4_s，RAWband8a_s，RAWband12_s。
After the normalized data of each preset wave band is obtained, the normalized data of the preset wave bands can be merged, the merging mode is that the data of the preset wave bands are overlapped, and therefore a color RGB image which is an image of an industrial area to be monitored can be obtained.
And then, converting the image of the industrial area to be monitored to obtain a corresponding binary image. In the process of determining the binary image of the industrial area to be monitored, color conversion needs to be performed on the image of the industrial area to be monitored, so that color space data of the image of the industrial area to be monitored is obtained. The color conversion from the RGB color space to the HSV color space can be carried out on the image of the industrial area to be monitored, and HVS color space data of the image of the industrial area to be monitored is obtained. And then, extracting the color of the color space data according to the set extraction range, setting the pixels of the pixel points which accord with the set extraction range as a first numerical value, and setting the pixels of the pixel points which do not accord with the set extraction range as a second numerical value. The set extraction range may include a hue extraction range, a saturation extraction range, and a brightness extraction range. The hue extraction range, the saturation extraction range, and the lightness extraction range may be set empirically. The first value and the second setting may be set empirically. For example, the first value may be 1 or 255, and the second value may be 0. Alternatively, the first value is 0 and the second value is 1 or 255.
For example, the normalized value RAW obtained in the above embodiment may beband4_s，RAWband8a_s，RAWband12_sAnd carrying out band combination operation. Taking a certain iron and steel plant as an example, the sequence [ RAW ] will beband12_s,RAWband8a_s，RAWband4_s]The RGB images of the steel works were synthesized as shown in fig. 4. The position circled by the black oval in fig. 4 represents a high-temperature heat generation area of the steel plant.
Then, the RGB image shown in fig. 4 is subjected to color conversion from an RGB color space to an HSV color space, so that HSV color space data of the RGB image is obtained.
The extraction ranges of the H, S, V components are respectively set as: h is equal to 0,10, S is equal to 140,255, V is equal to 46,255. And carrying out data screening on the HSV color space data within the set extraction range. Data elements that meet the set extraction range are set to RGB [255,255 ], and data elements that do not meet the set extraction range are set to RGB [0,0,0 ]. Then, a black-and-white binary image corresponding to the RGB image is obtained (black corresponding to [0,0,0], white corresponding to [255,255 ]). Wherein the corresponding binarized map of fig. 4 can be as shown in fig. 5.
The predetermined pixel condition may be set empirically, and may be, for example, that the pixel is larger than a predetermined pixel threshold, the pixel is within a predetermined pixel threshold, and so on.
Counting the sum SWIR-SMI (short-wave) in the binarized graph shown in fig. 5, wherein the sum SWIR-SMI (short-wave) is (band) -Stochastic motion Index. The SWIR-SMI may reflect the overall industrial situation of the industrial area. By analyzing the industrial production index of the industrial area to be monitored in the preset period, the industrial production condition of the industrial area to be monitored can be determined. For example: by the method, short wave infrared images of main steel plants in the whole steel industry in a preset period are obtained, SWIR-SMI of each steel plant in the preset period is extracted, and the SWIR-SMI of each steel plant is analyzed, so that the industrial production condition of the whole steel industry can be obtained.
As shown in FIG. 6, the solid black line is the SWIR-SMI extracted by date. The black dashed line is the industrial growth value of the steel and may also be referred to as the steel production index. Correlation analysis is carried out on the steel production index and the SWIR-SMI, the correlation coefficient R is greater than a set value (such as 0.7), and strong correlation exists, so that the SWIR-SMI can reflect the steel production index in the steel industry.
In the embodiment of the invention, by applying the satellite remote sensing technology, the production activity monitoring can be theoretically carried out on industrial areas in any places of the world within a certain period. The multispectral data processing and analyzing technology is applied, and the production activities of the industrial area can be analyzed and monitored from different characteristic levels. The image processing technology is applied, and the sum of the white point pixel point values of the effective industrial production area can be extracted through a white point extraction algorithm with a set threshold value.
The embodiment of the invention shows that the industrial production index of the industrial area to be monitored in the preset period is obtained by determining a coordinate set of a preset shape range of the industrial area to be monitored, determining multispectral data of a remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set, extracting data of a plurality of preset wave bands in the multispectral data of the remote sensing satellite in the preset period, obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands, determining a binary image of the industrial area to be monitored, counting the number of pixel points of which the pixels in the binary image of the industrial area to be monitored in the preset period meet the preset pixel condition. The method comprises the steps of obtaining remote sensing data corresponding to a coordinate set by determining the coordinate set of a preset shape range of an industrial area to be monitored, then extracting data of a preset waveband from the remote sensing data, processing the data to obtain an image of the industrial area to be monitored, carrying out binarization processing on the image, and counting the number of pixel points under a pixel preset pixel condition, so that the industrial production index can be monitored. The installation of the sensor equipment is not involved in the monitoring process, so that the investment cost of industrial production monitoring can be reduced. Compared with the method for constructing a prediction model in the prior art, the method has low complexity in the data processing process through monitoring the industrial production index based on the remote sensing data, and can realize the monitoring of the industrial production index in any range of any region.
Based on the same technical concept, fig. 7 exemplarily shows a schematic structural diagram of an apparatus for monitoring an industrial production index, which is provided by an embodiment of the present invention and can perform a process for monitoring an industrial production index.
As shown in fig. 7, the apparatus specifically includes:
a determining unit 701, configured to determine a coordinate set of a preset shape range of an industrial area to be monitored;
the processing unit 702 is configured to determine multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set; extracting data of a plurality of preset wave bands in the remote sensing satellite multispectral data in the preset period, and obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands; determining a binary image of the industrial area to be monitored; and counting the number of pixel points of which the pixels meet preset pixel conditions in a binary image of the industrial area to be monitored in the preset period to obtain the industrial production index of the industrial area to be monitored in the preset period.
Optionally, the processing unit 702 is specifically configured to:
performing color conversion on the image of the industrial area to be monitored to obtain color space data of the image of the industrial area to be monitored;
and extracting colors of the color space data according to a set extraction range, setting pixels of the pixel points which accord with the set extraction range as a first numerical value, and setting pixels of the pixel points which do not accord with the set extraction range as a second numerical value.
Optionally, the processing unit 702 is specifically configured to:
and carrying out color conversion from an RGB color space to an HSV color space on the image of the industrial area to be monitored to obtain HVS color space data of the image of the industrial area to be monitored.
Optionally, the determining unit 701 is specifically configured to:
acquiring an industrial area to be monitored and a central point coordinate of the industrial area to be monitored;
and taking the central point coordinate of the industrial area to be monitored as an original point, and expanding the area in the preset shape range to obtain a coordinate set of the preset shape range of the industrial area to be monitored.
Optionally, the coordinates in the coordinate set are longitude and latitude coordinates;
the processing unit 702 is specifically configured to:
and determining multispectral data of the remote sensing satellite corresponding to the longitude and latitude coordinates in the coordinate set in a preset period from a remote sensing satellite database based on the longitude and latitude coordinates in the coordinate set.
Optionally, the processing unit 702 is specifically configured to:
carrying out normalization processing on the data of the plurality of preset wave bands;
and merging the data of the plurality of preset wave bands after normalization processing to obtain the image of the industrial area to be monitored.
Optionally, the processing unit 702 is specifically configured to:
determining the ratio of the product of the first difference value and a preset threshold value to the second difference value as the data of the preset wave band after normalization processing aiming at any preset wave band in the plurality of preset wave bands; the first difference value is a difference value between the value of the data of the preset wave band and the minimum value of the preset wave band; the second difference is a difference between a maximum value and a minimum value of the preset waveband.
Optionally, the processing unit 702 is further configured to:
and after the industrial production index of the industrial area to be monitored in the preset period is obtained, analyzing the industrial production index of the industrial area to be monitored in the preset period to determine the industrial production condition of the industrial area to be monitored.
Based on the same technical concept, an embodiment of the present invention provides a computing device, including:
a memory for storing a computer program;
and the processor is used for calling the computer program stored in the memory and executing the method for monitoring the industrial production index according to the obtained program.
Based on the same technical concept, embodiments of the present invention provide a computer-readable storage medium storing a computer-executable program for causing a computer to perform the above-mentioned method for monitoring an industrial production index.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present application and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method of monitoring an industrial production index, comprising:
determining a coordinate set of a preset shape range of an industrial area to be monitored;
determining multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set;
extracting data of a plurality of preset wave bands in multispectral data of the remote sensing satellite in the preset period, obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands, and determining a binary image of the industrial area to be monitored;
and counting the number of pixel points of which the pixels meet preset pixel conditions in a binary image of the industrial area to be monitored in the preset period to obtain the industrial production index of the industrial area to be monitored in the preset period.
2. The method of claim 1, wherein said determining a binarized map of the image of the industrial area to be monitored comprises:
performing color conversion on the image of the industrial area to be monitored to obtain color space data of the image of the industrial area to be monitored;
and extracting colors of the color space data according to a set extraction range, setting pixels of the pixel points which accord with the set extraction range as a first numerical value, and setting pixels of the pixel points which do not accord with the set extraction range as a second numerical value.
3. The method of claim 2, wherein the color converting the image of the industrial area to be monitored to obtain color space data of the image of the industrial area to be monitored comprises:
and carrying out color conversion from a red-green-blue RGB color space to a hue-saturation-lightness HSV color space on the image of the industrial area to be monitored to obtain HVS color space data of the image of the industrial area to be monitored.
4. The method of claim 1, wherein determining a set of coordinates for a preset shape range for an industrial area to be monitored comprises:
acquiring an industrial area to be monitored and a central point coordinate of the industrial area to be monitored;
and taking the central point coordinate of the industrial area to be monitored as an original point, and expanding the area in the preset shape range to obtain a coordinate set of the preset shape range of the industrial area to be monitored.
5. The method of claim 1, wherein the coordinates in the set of coordinates are latitude and longitude coordinates;
the determining multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set comprises the following steps:
and determining multispectral data of the remote sensing satellite corresponding to the longitude and latitude coordinates in the coordinate set in a preset period from a remote sensing satellite database based on the longitude and latitude coordinates in the coordinate set.
6. The method of claim 1, wherein obtaining the image of the industrial area to be monitored based on the data of the plurality of preset wavelength bands comprises:
carrying out normalization processing on the data of the plurality of preset wave bands;
and merging the data of the plurality of preset wave bands after normalization processing to obtain the image of the industrial area to be monitored.
7. The method of claim 6, wherein the normalizing the data of the plurality of predetermined bands comprises:
determining the ratio of the product of the first difference value and a preset threshold value to the second difference value as the data of the preset wave band after normalization processing aiming at any preset wave band in the plurality of preset wave bands; the first difference value is a difference value between the value of the data of the preset wave band and the minimum value of the preset wave band; the second difference is a difference between a maximum value and a minimum value of the preset waveband.
8. The method according to any one of claims 1 to 7, further comprising, after obtaining the industrial production index of the industrial area to be monitored within the preset period:
and analyzing the industrial production index of the industrial area to be monitored in the preset period to determine the industrial production condition of the industrial area to be monitored.
9. An apparatus for monitoring industrial production indices, comprising:
the determining unit is used for determining a coordinate set of a preset shape range of the industrial area to be monitored;
the processing unit is used for determining multispectral data of the remote sensing satellite in a preset period corresponding to the coordinate set according to the coordinate set; extracting data of a plurality of preset wave bands in the remote sensing satellite multispectral data in the preset period, and obtaining an image of the industrial area to be monitored based on the data of the plurality of preset wave bands; determining a binary image of the industrial area to be monitored; and counting the number of pixel points of which the pixels meet preset pixel conditions in a binary image of the industrial area to be monitored in the preset period to obtain the industrial production index of the industrial area to be monitored in the preset period.
10. A computing device, comprising:
a memory for storing a computer program;
a processor for calling a computer program stored in said memory and executing the method of any one of claims 1 to 8 in accordance with the obtained program.
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| CN116908380A (en) * | 2023-07-13 | 2023-10-20 | 北京讯腾智慧科技股份有限公司 | Method and device for environmental monitoring and carbon emission by using Beidou base station |
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