Industry Activity Monitoring Method, Device, Equipment, Storage Medium and Program Product

Abstract

The present invention discloses a method, device, equipment, storage medium and program product for monitoring industry activity. The method includes: obtaining observation data obtained by an earth observation device observing a to-be-observed geographical area corresponding to a target industry within a preset time, where the observation data represents the degree of difference between the observed point and the surrounding environment; calculating the industry activity of the to-be-observed geographical area within the preset time according to the observation data. It can realize obtaining industry activity monitoring data at any time and in real time, and overcomes the problems of long data collection cycle and low update frequency of macro data in the existing macro data acquisition methods for industries.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a method, device, equipment, storage medium and program product for monitoring industry activity. Background Art

[0002] The development of an industry requires macro data for guidance, and the macro data often needs to be obtained through layer-by-layer reporting by various enterprises and institutions within the industry and then statistically processed. For example, the automotive industry needs to count the automotive production data, and the statistics of automotive production data rely on the data reported by each automotive manufacturer. Obviously, the existing method of obtaining macro data has a long data collection cycle, resulting in a low update frequency of the macro data, thereby affecting its guiding role in the development of the industry. Summary of the Invention

[0003] The main purpose of the present invention is to provide a method, device, equipment, storage medium and program product for monitoring industry activity, aiming to solve the problem that the existing method of obtaining industry macro data has a long data collection cycle, resulting in a low update frequency of the macro data.

[0004] To achieve the above object, the present invention provides a method for monitoring industry activity, the method comprising:

[0005] Obtaining observation data obtained by an earth observation device observing a to-be-observed geographical area corresponding to a target industry within a preset time, wherein the observation data represents the degree of difference between an observed point and the surrounding environment;

[0006] Calculating the industry activity of the to-be-observed geographical area within the preset time according to the observation data.

[0007] Optionally, the step of calculating the industry activity of the to-be-observed geographical area within the preset time according to the observation data comprises:

[0008] Calculating a statistic of the observation data corresponding to each coordinate point of the to-be-observed geographical area at each time point, to obtain the industry activity of the to-be-observed geographical area within the preset time.

[0009] Optionally, the step of calculating a statistic of the observation data corresponding to each coordinate point of the to-be-observed geographical area at each time point, to obtain the industry activity of the to-be-observed geographical area within the preset time comprises:

[0010] Calculating an average value of the observation data corresponding to each coordinate point of the to-be-observed geographical area at the same time point, to obtain a statistical value corresponding to each time point within the preset time;

[0011] Calculate the average value of the statistical values corresponding to each of the time points to obtain the industry activity level of the geographical area to be observed within the preset time.

[0012] Optionally, after the step of calculating the industry activity level of the geographical area to be observed within the preset time according to the observation data, the method further includes:

[0013] Obtain the industry statistical data of the geographical area to be observed within the preset time;

[0014] Calculate and output the correlation coefficient between the industry statistical data and the industry activity level.

[0015] Optionally, before the step of obtaining the observation data obtained by the earth observation device observing the geographical area to be observed corresponding to the target industry within the preset time, the method further includes:

[0016] Obtain the geographical location information of each manufacturing plant corresponding to the target industry;

[0017] Obtain the regional images including the areas where each of the manufacturing plants is located from the satellite map according to the geographical location information;

[0018] Perform image recognition on each of the regional images to obtain each new product placement area, and use each of the new product placement areas as the geographical area to be observed.

[0019] Optionally, the step of obtaining the observation data obtained by the earth observation device observing the geographical area to be observed corresponding to the target industry within the preset time includes:

[0020] Send a data acquisition request to the earth observation device, where the data acquisition request carries the preset time and the geographical location information of the geographical area to be observed corresponding to the target industry;

[0021] Receive the observation data obtained by the earth observation device observing the geographical area to be observed within the preset time, where the earth observation device locates the geographical area to be observed based on the geographical location information.

[0022] Optionally, the earth observation device is a synthetic aperture radar in a satellite. Before the step of obtaining the observation data obtained by the earth observation device observing the geographical area to be observed corresponding to the target industry within the preset time, the method further includes:

[0023] Set the parameter items of the synthetic aperture radar to preset parameter values corresponding to the target industry, where the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction.

[0024] To achieve the above object, the present invention provides an industry activity monitoring device, which includes:

[0025] An acquisition module, configured to acquire observation data obtained by an earth observation device observing a to-be-observed geographical area corresponding to a target industry within a preset time, wherein the observation data represents the degree of difference between the observed point and the surrounding environment;

[0026] A calculation module, configured to calculate the industry activity of the to-be-observed geographical area within the preset time according to the observation data.

[0027] To achieve the above object, the present invention further provides an industry activity monitoring device, which includes a memory, a processor, and an industry activity monitoring program stored on the memory and executable on the processor. When the industry activity monitoring program is executed by the processor, the steps of the above-mentioned industry activity monitoring method are implemented.

[0028] In addition, to achieve the above object, the present invention further provides a computer-readable storage medium, on which an industry activity monitoring program is stored. When the industry activity monitoring program is executed by a processor, the steps of the above-mentioned industry activity monitoring method are implemented.

[0029] In addition, to achieve the above object, the present invention further provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the above-mentioned industry activity monitoring method are implemented.

[0030] In the present invention, by acquiring the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within the preset time, since the observation data represents the degree of difference between the observed point and the surrounding environment, the industry activity of the to-be-observed geographical area within the preset time can be calculated according to the observation data, realizing an industry activity monitoring method; since the earth observation device can be set to perform all-weather and all-day earth observations, calculating the industry activity through the data observed by the earth observation device can achieve obtaining the industry activity monitoring data at any time and in real time, overcoming the problems of long data collection period and low update frequency of macro data in the existing macro data acquisition methods for industries, thereby greatly improving the guiding role of the industry activity index for industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic structural diagram of the hardware operating environment related to the solution of the embodiment of the present invention;

[0032] Figure 2 It is a schematic flowchart of the first embodiment of the industry activity monitoring method of the present invention;

[0033] Figure 3 Schematic diagram of an application scenario for calculating industry activity based on SAR data according to an embodiment of the present invention;

[0034] Figure 4 Data example diagram according to an embodiment of the present invention;

[0035] Figure 5 Functional schematic diagram module diagram of a preferred embodiment of the industry activity monitoring device of the present invention.

[0036] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0037] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0038] As Figure 1 shown, Figure 1 is a schematic diagram of the device structure of the hardware operating environment related to the embodiment solution of the present invention.

[0039] It should be noted that the industry activity monitoring device in the embodiment of the present invention can be devices such as smart phones, personal computers and servers, and no specific limitation is made here.

[0040] As Figure 1 shown, the industry activity monitoring device may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and optionally the user interface 1003 may further include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

[0041] Those skilled in the art can understand that Figure 1 the device structure shown in

[0042] As Figure 1As shown in the figure, the memory 1005, which is a computer storage medium, may include an operating system, a network communication module, a user interface module, and an industry activity monitoring program. Among them, the operating system is a program that manages and controls the hardware and software resources of the device and supports the operation of the industry activity monitoring program and other software or programs. In Figure 1 In the device shown, the user interface 1003 is mainly used for data communication with the client; the network interface 1004 is mainly used for data communication with the server; the processor 1001 can be used to call the industry activity monitoring program stored in the memory 1005 and perform the following operations:

[0043] Obtain the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within a preset time, where the observation data characterizes the degree of difference between the observed point and the surrounding environment;

[0044] Calculate the industry activity of the to-be-observed geographical area within the preset time according to the observation data.

[0045] Further, the step of calculating the industry activity of the to-be-observed geographical area within the preset time according to the observation data includes:

[0046] Perform statistical calculation on the observation data corresponding to each coordinate point of the to-be-observed geographical area at each time point in the observation data to obtain the industry activity of the to-be-observed geographical area within the preset time.

[0047] Further, the step of performing statistical calculation on the observation data corresponding to each coordinate point of the to-be-observed geographical area at each time point in the observation data to obtain the industry activity of the to-be-observed geographical area within the preset time includes:

[0048] Calculate the average value of the observation data corresponding to each coordinate point of the to-be-observed geographical area at the same time point in the observation data to obtain the statistical values respectively corresponding to each time point within the preset time;

[0049] Calculate the average value of the statistical values corresponding to each time point to obtain the industry activity of the to-be-observed geographical area within the preset time.

[0050] Further, after the step of calculating the industry activity of the to-be-observed geographical area within the preset time according to the observation data, the processor 1001 can also be used to call the industry activity monitoring program stored in the memory 1005 and perform the following operations:

[0051] Obtain the industry statistical data of the to-be-observed geographical area within the preset time;

[0052] Calculate and output the correlation coefficient between the industry statistics data and the industry activity level.

[0053] Further, before the step of obtaining the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within a preset time, the processor 1001 can also be used to call the industry activity level monitoring program stored in the memory 1005 and perform the following operations:

[0054] Obtain the geographical location information of each manufacturing factory corresponding to the target industry;

[0055] Obtain the regional images containing the areas where each of the manufacturing factories is located from the satellite map according to the geographical location information;

[0056] Perform image recognition on each of the regional images to obtain each new product placement area, and use each of the new product placement areas as the to-be-observed geographical area.

[0057] Further, the step of obtaining the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within a preset time includes:

[0058] Send a data acquisition request to the earth observation device, where the data acquisition request carries the preset time and the geographical location information of the to-be-observed geographical area corresponding to the target industry;

[0059] Receive the observation data obtained by the earth observation device observing the to-be-observed geographical area within the preset time, where the earth observation device locates the to-be-observed geographical area based on the geographical location information.

[0060] Further, the earth observation device is a synthetic aperture radar in a satellite. Before the step of obtaining the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within a preset time, the processor 1001 can also be used to call the industry activity level monitoring program stored in the memory 1005 and perform the following operations:

[0061] Set the parameter items of the synthetic aperture radar to preset parameter values corresponding to the target industry, where the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction.

[0062] Based on the above structure, various embodiments of the industry activity level monitoring method are proposed.

[0063] Refer to Figure 2 , Figure 2The figure is a schematic flowchart of the first embodiment of the method for monitoring the industry activity of the present invention. It should be noted that although the logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than here. The execution subject of each embodiment of the method for monitoring the industry activity of the present invention may be devices such as a smart phone, a personal computer, and a server. For the convenience of description, in the following embodiments, the monitoring device is used as the execution subject for elaboration. In this embodiment, the method for monitoring the industry activity includes:

[0064] Step S10: Obtain the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within a preset time, where the observation data represents the degree of difference between the observed point and the surrounding environment;

[0065] In this embodiment, the earth observation device may be a device capable of observing the ground to obtain observation data, and the obtained observation data can represent the degree of difference between the observed point and the surrounding environment. There is no limitation on which specific device is used in this embodiment. For example, in one implementation, the earth observation device may be a Synthetic Aperture Radar (SAR), or a satellite, an aircraft, or a spaceship equipped with a synthetic aperture radar. The ground is observed by the synthetic aperture radar to obtain radar data (also known as SAR data). The synthetic aperture radar uses a small antenna to move at a constant speed along the trajectory of a long linear array and radiate coherent signals, and the echoes received at different positions are coherently processed to obtain a radar with higher resolution. The earth observation device can generally be set to observe the ground all day and all weather, so it can obtain observation data at any time. For example, the synthetic aperture radar is an active earth observation system that can observe the ground all day and all weather and has a certain surface penetration ability. The SAR data can penetrate clouds, so it is not affected by the atmospheric environment and can detect ground objects with high quality.

[0066] The monitoring device may be the earth observation device itself, or the monitoring device may also be other devices, which obtain the observation data in the earth observation device by communicating with the earth observation device or a third-party device.

[0067] When a monitor wants to monitor the industry activity of a certain industry (i.e., the target industry), the geographical area to be observed corresponding to the target industry can be set in the monitoring device, and an observation time, i.e., a preset time, can also be set. The preset time can be a time point or a time period. Among them, the industry activity refers to the active degree of work such as production, manufacturing, and construction in the industry, which can be represented by a quantified value. For example, the industry activity of the automobile manufacturing industry can refer to the active degree of automobile manufacturing factories in producing and manufacturing automobiles, and the industry activity of the shipbuilding industry can refer to the active degree of shipbuilding factories in producing and manufacturing ships. The geographical area to be observed can be a geographical area that can reflect the active degree of the industry, such as the new product placement area of an automobile manufacturing factory, the building material placement area of a construction site, etc. The geographical area to be observed can be represented by its geographical location information, such as the set of longitude and latitude coordinates of each point in the area. There can be one or more geographical areas to be observed.

[0068] The monitoring device obtains the observation data obtained by the earth observation device observing the geographical area to be observed within the preset time. Among them, the observation data can include the observation data of each coordinate point in the geographical area to be observed at each time point within the preset time, and the observation data can include one or more data items. For example, in one embodiment, when the earth observation device uses a synthetic aperture radar to obtain observation data, the transmission and reception polarization modes of the synthetic aperture radar are four types: VV, VH, HV, and HH, and the corresponding data items are VV data, VH data, HV data, and HH data respectively; depending on the different polarization modes set for the transmission and reception of the synthetic aperture radar, the data items of the observation data are different. For example, if the polarization mode is set to VH, the obtained observation data is the VH data corresponding to each coordinate point at each time point.

[0069] Further, in one embodiment, when the monitoring device is another device independent of the earth observation device, step S10 includes:

[0070] Step S101, sending a data acquisition request to the earth observation device, where the data acquisition request carries the preset time and the geographical location information of the geographical area to be observed corresponding to the target industry;

[0071] The monitoring device can send a data acquisition request to the earth observation device. Among them, the data acquisition request carries the preset time and the geographical location information of the geographical area to be observed corresponding to the target industry. When the preset time is a relatively long time period, the monitoring device can also send data acquisition requests to the earth observation device in batches to obtain observation data at different time points in batches. After receiving the data acquisition request, the earth observation device can locate the geographical area to be observed according to the geographical location information of the geographical area to be observed, that is, collect the observation data of this geographical location information within the preset time. For example, if the geographical location information is a set of coordinate points, then collect the observation data of each coordinate point in the set of coordinate points at each time point within the preset time.

[0072] Step S102: Receive the observation data obtained by observing the geographical area to be observed within the preset time returned by the earth observation device, where the earth observation device locates the geographical area to be observed based on the geographical location information.

[0073] The earth observation device returns the observation data obtained by observing the geographical area to be observed within the preset time to the monitoring device, and the monitoring device receives this observation data.

[0074] In one embodiment, as Figure 3 shown, when the earth observation device is a satellite, the monitoring device requests radar data of the geographical area to be observed from the satellite. The satellite observes the geographical area to be observed through its synthetic aperture radar, obtains the radar data and returns it to the monitoring device. The monitoring device calculates the industry activity based on the radar data and visually outputs it to the monitoring personnel.

[0075] Step S20: Calculate the industry activity of the geographical area to be observed within the preset time according to the observation data.

[0076] After obtaining the observation data, the monitoring device calculates the industry activity of the geographical area to be observed within a preset time according to the observation data. Specifically, the monitoring device can calculate the industry activity based on the observation data of all coordinate points within the geographical area to be observed, or calculate it based on the observation data of some coordinate points within the geographical area to be observed. For example, statistical calculations are performed on the observation data corresponding to all or some coordinate points within the geographical area to be observed at each time point to obtain the industry activity of the geographical area to be observed within a preset time. The calculation method for calculating the industry activity according to the observation data can be preset in the monitoring device, and the calculation method can also be different according to the different data items included in the observation data. For example, when the observation data includes multiple data items, the values corresponding to the multiple data items of a coordinate point at a certain time point can be added or a weighted average can be calculated to obtain a value corresponding to the coordinate point at that time point, and then the industry activity is calculated based on the values corresponding to all or some coordinate points within the geographical area to be observed.

[0077] The greater the degree of difference between the geographical area to be observed of the target industry and the surrounding environment, the higher the production or manufacturing activity of the area is often indicated. For example, when monitoring the automobile manufacturing industry, the area where new products of automobile manufacturing plants are placed can be set as the geographical area to be observed. Since the surface of the automobile is covered with a metal structure, the degree of difference between the area where the automobile is placed and the surrounding environment is greater than the degree of difference between the area not covered by the automobile and the surrounding environment. The observation data collected by the earth observation device can reflect the degree of difference between the observed point and the surrounding environment. When the automobile manufacturing volume is large, there are a large number of automobiles stored in this area, and the more coordinate points with larger observation data values in this area. Therefore, the observation data can be used to calculate the industry activity of the geographical area to be observed.

[0078] After calculating the industry activity, the monitoring device can output the industry activity, such as visual output to a display screen connected to the monitoring device. In one embodiment, the monitoring device can output the industry activity at different times in the form of a line chart, so as to facilitate the monitoring personnel to intuitively understand the changing trend of the industry activity, and thus achieve accurate guidance for the industry.

[0079] In this embodiment, by obtaining the observation data obtained by the earth observation device observing the to-be-observed geographical area corresponding to the target industry within a preset time, since the observation data represents the degree of difference between the observed point and the surrounding environment, the industry activity of the to-be-observed geographical area within the preset time can be calculated based on this observation data, realizing a method for monitoring industry activity; since the earth observation device can be set to observe the ground all day and all weather, calculating the industry activity through the data observed by the earth observation device can obtain the industry activity monitoring data at any time and in real time, overcoming the problems of long data collection cycle and low update frequency of macro data in the existing methods for obtaining industry macro data, thereby greatly improving the guiding role of the industry activity index for the industry.

[0080] Further, based on the above first embodiment, a second embodiment of the industry activity monitoring method of the present invention is proposed. In this embodiment, step S20 includes:

[0081] Step S201, perform a statistic calculation on the observation data corresponding to each coordinate point of the to-be-observed geographical area at each time point in the observation data, to obtain the industry activity of the to-be-observed geographical area within the preset time.

[0082] In this embodiment, the monitoring device can perform a statistic calculation using the observation data corresponding to each coordinate point of the to-be-observed geographical area at each time point, to obtain the industry activity of the to-be-observed geographical area within the preset time. Among them, the statistic can be common statistics such as average value, median, mode, variance, and standard deviation, etc. The statistic calculation can be to select and calculate one or more of them. If multiple are selected, multiple industry activities will be calculated.

[0083] Specifically, when the preset time is a time point, the monitoring device can directly perform statistical calculations on the observation data of each coordinate point at the time point to obtain the industry activity of the geographical area to be observed at the time point. When the preset time includes multiple time points (when the preset time is a time period, the sampling frequency can be set), the monitoring device can first perform statistical calculations on the observation data of each coordinate point at the same time point to obtain the statistical values corresponding to each time point, and then perform statistical calculations on each statistical value to obtain the industry activity of the geographical area to be observed within the preset time; or, it is also possible to first perform statistical calculations on the observation data of each coordinate point at different time points to obtain the statistical values corresponding to each coordinate point, and then perform statistical calculations on each statistical value to obtain the industry activity of the geographical area to be observed within the preset time. When the geographical area to be observed includes multiple areas, the monitoring device can calculate the industry activity corresponding to each area separately, and then perform statistical calculations on the industry activity of each area to obtain a total industry activity corresponding to all areas. When the observed data includes multiple data items, the monitoring device may first calculate statistics on different data items of the coordinate point at a time point to obtain a data value corresponding to the coordinate point at the time point, and then calculate the industry activity according to the above method.

[0084] Furthermore, the step S201 includes:

[0085] Step S2021, calculating the average value of the observation data corresponding to each coordinate point of the to-be-observed geographical area in the observation data at the same time point, to obtain the statistical values corresponding to each time point within the preset time;

[0086] In one embodiment, the acquired observation data includes the observation data of each coordinate point at each time point. The monitoring device may first calculate the average value of the observation data corresponding to each coordinate point in the observed geographical area at the same time point to obtain the statistical values corresponding to each time point in the preset time. For example, in one embodiment, a synthetic aperture radar is used as a ground observation device. When the sending and receiving plan mode of the synthetic aperture radar is set to VH, the monitoring device obtains the VH data of each coordinate point at each time point. If the preset time includes time points t1, t2, ..., t n , for t i (i∈n) time point, calculate the coordinate points P1, P2, ..., P N In t i The average value of VH data is E i =(VH1+VH2+…+VH N ) / N, E i As t i The corresponding statistical value.

[0087] In step S2022, calculate the average value of the statistical values corresponding to each of the time points to obtain the industry activity of the geographical area to be observed within the preset time.

[0088] The monitoring device further calculates the average value of the statistical values corresponding to each time point to obtain the industry activity of the geographical area to be observed within the preset time. For example, calculate the average value E of the statistical values corresponding to time points t1, t2, ……, t n E=(E1 + E2 + …… + E n ) / n, and use E as the industry activity.

[0089] Further, when there are multiple geographical areas to be observed, the monitoring device can calculate the average value of the industry activities of each geographical area to be observed to obtain the overall industry activity of the target industry.

[0090] In this embodiment, by performing statistical quantity calculations on the observation data corresponding to each coordinate point of the geographical area to be observed in the observation data, the industry activity of the geographical area to be observed within the preset time is obtained. The calculation method of the industry activity is simple and easy to deploy, thereby further improving the convenience of monitoring the industry activity of the target industry.

[0091] Further, after step S20, it further includes:

[0092] Step S30, obtain the industry statistical data of the geographical area to be observed within the preset time;

[0093] In an implementation manner, the monitoring device can verify the calculated industry activity. Specifically, the monitoring device can obtain the industry statistical data of the geographical area to be observed within the preset time. Among them, the industry statistical data can be statistical data related to the activity degree of the industry. For example, the industry statistical data of the automobile manufacturing industry can be the production volume of automobiles. The industry statistical data can be obtained from the industry data statistical agency of the target industry.

[0094] Step S40, calculate and output the correlation coefficient between the industry statistical data and the industry activity.

[0095] The monitoring device calculates the correlation coefficient between industry statistics and industry activity. Among them, the calculation method of the correlation coefficient can adopt the existing correlation coefficient calculation methods, such as the Pearson correlation coefficient calculation method. The magnitude of the correlation coefficient reflects the degree of correlation between industry activity and industry statistics. The higher the degree of correlation, the more representative the industry activity is of the industry statistics. After calculating the correlation coefficient, the monitoring device can output the correlation coefficient for the monitoring personnel to understand whether the industry activity calculated from the observed data can be used for the macro guidance of the industry. When the correlation coefficient is large, for example, greater than the threshold of 0.5, it indicates that the industry activity has high effectiveness, and the monitoring personnel can conduct industry guidance based on the calculated industry activity; when the correlation coefficient is small, the monitoring personnel can readjust the position of the geographical area to be observed, or adjust the statistical quantity calculation method, or adjust the transmission and reception plan mode of the synthetic aperture radar. The monitoring device then obtains the observed data and calculates the industry activity according to the adjusted parameters until the effectiveness is verified.

[0096] It can be understood that the update frequency of industry statistics is very low, generally updated once a month. After the monitoring device verifies the data effectiveness of the industry activity, the monitoring personnel can obtain the all-weather and all-day industry activity monitoring data through the monitoring device, so as to be able to grasp the industry activity at any time and then make timely and effective industry guidance.

[0097] For example, in one embodiment, the target industry is the new energy vehicle manufacturing industry, and the geographical area to be observed includes the new product placement areas S1, S2,... S of 28 automobile manufacturing plants 28 , and the monitoring device obtains the observed data of 28 geographical areas to be observed every month from October 2019 to January 2020 at a sampling frequency of 30 sampling time points per month. The monitoring device calculates the total industry activity of 28 geographical areas to be observed every month according to the calculation method in the above embodiment, and uses E1, E2,... E 12 to represent, and obtains the total automobile production volume of 28 automobile manufacturing plants every month from October 2019 to January 2020, and uses C1, C2,... C 12 to represent. The specific data is as Figure 4 shown, where the dotted broken line represents the automobile production volume and the solid broken line represents the industry activity. The monitoring device calculates that the correlation coefficient between the two sets of data is 0.84, and the degree of correlation exceeds the set threshold (assuming the threshold is 0.5), verifying the effectiveness of the industry activity calculation method.

[0098] Further, in an embodiment, the monitoring device may calculate different statistics to obtain multiple industry activity levels, verify each industry activity level in the above manner, obtain the correlation coefficients corresponding to each industry activity level, and output the industry activity level with the highest correlation coefficient, thereby improving the accuracy of the calculated industry activity level.

[0099] Further, based on the above first and / or second embodiments, a third embodiment of the industry activity level monitoring method of the present invention is proposed. Before step S10, it further includes:

[0100] Step S50, obtaining the geographical location information of each manufacturing factory corresponding to the target industry;

[0101] In this embodiment, the target industry to be monitored and the enterprise list corresponding to the target industry may be preset in the monitoring device. The monitoring device can find the locations of the manufacturing factories of each enterprise in the enterprise list in the map software, that is, obtain the geographical location information of each manufacturing factory. The geographical location information can be represented by a set of coordinate points.

[0102] Step S60, obtaining a regional image containing the area where each manufacturing factory is located from the satellite map according to the geographical location information;

[0103] The monitoring device obtains a regional image containing the area where each manufacturing factory is located from the satellite map according to the geographical location information of the manufacturing factory. Specifically, the monitoring device searches in the satellite map according to the geographical location information of the manufacturing factory. The geographical location information points to an area. The monitoring device finds this area in the satellite map, and then extracts this area to obtain a regional image containing the area where the manufacturing factory is located. When there are multiple manufacturing factories, the monitoring device extracts the regional image of each manufacturing factory respectively.

[0104] Step S70, performing image recognition on each regional image to obtain each new product placement area, and using each new product placement area as the geographical area to be observed.

[0105] The regional image of the manufacturing factory includes a new product placement area. The new product placement area is different from other areas in the regional image. The monitoring device can perform image recognition on each regional image to obtain the new product placement area in each regional image. Among them, image recognition can be implemented by using an image semantic segmentation model. The new product placement area and other areas are used as two categories to be segmented. After being processed by the image semantic segmentation model, the category to which each pixel point in the regional image belongs is obtained, and then the set of pixel points belonging to the new product placement area is used as the new product placement area. The image semantic segmentation model can be pre-trained with a large amount of training data and will not be elaborated in detail here.

[0106] After the monitoring device obtains the placement areas of each new product, it uses each new product placement area as a geographical area to be observed. Specifically, the monitoring device can use each new product placement area as a geographical area to be observed respectively to calculate the industry activity levels corresponding to each new product placement area, or use the entire set of new product placement areas as a single geographical area to be observed to calculate the overall industry activity level of the new product placement areas.

[0107] In this embodiment, the monitoring device automatically obtains the geographical location information of the manufacturing plant according to the enterprise list of the target industry, obtains the regional image of the manufacturing plant according to the geographical location information, then performs image recognition on the regional image to obtain each new product placement area, uses each new product placement area as a geographical area to be observed, and uses the observation data to calculate the industry activity levels of each geographical area to be observed, realizing the automated monitoring of the target industry. That is, the monitoring personnel only need to input the target industry and the enterprise list of the industry to be monitored, and the monitoring device can automatically calculate the industry activity level of the target industry, simplifying the acquisition method of industry activity monitoring data and improving the monitoring efficiency.

[0108] Further, when the earth observation device is a synthetic aperture radar in a satellite, before step S10, it further includes:

[0109] Step S80, setting the parameter items of the synthetic aperture radar to preset parameter values corresponding to the target industry, where the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction.

[0110] In one embodiment, the earth observation device can be a satellite equipped with a synthetic aperture radar or a synthetic aperture radar installed in a satellite. Since the satellite orbit is relatively high, it can monitor any region on the globe, thus making the application scope of the industry activity monitoring method wider; the synthetic aperture radar can penetrate clouds, so using the synthetic aperture radar to obtain observation data breaks through the dependence of traditional optical satellites on the atmosphere and seasons, further expanding the application scope of the industry activity monitoring method.

[0111] Before monitoring, the parameter items of the synthetic aperture radar can be set according to the target industry. Specifically, the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction. Among them, the polarization mode is the polarization mode of the synthetic aperture radar for transmitting and receiving, the radar instrument mode is the working mode of the radar, such as strip mode, scanning mode, etc., and the satellite orbit direction is the orbit direction of the satellite's movement, such as ascending orbit, descending orbit, etc.

[0112] Since different target industries have different types of coverings in the corresponding geographical areas to be observed, and different parameter values of the radar have different performance effects for different coverings, in this embodiment, different parameter values applicable to each industry can be preset according to the characteristics of the coverings in the geographical areas to be observed for each industry. After the monitoring device determines to monitor a target industry, the parameter items of the synthetic aperture radar are set to the preset parameter values corresponding to the target industry. For example, in one implementation, for the automotive manufacturing industry, according to the characteristics of the surface structure of the vehicle, the parameter values of each parameter item are preset as follows:

[0113] Parameter Setting Polarization mode for radar transmission and reception Single-band VV or dual-band VH Radar instrument mode Interferometric wide swath Satellite orbit direction Ascending orbit

[0114] Table 1

[0115] When the monitoring device is not a satellite, the monitoring device can send the preset parameter values to the satellite. For example, when sending a data acquisition request, the preset parameter values are carried in the request, and the satellite sets the parameter items of the synthetic aperture radar to the preset parameter values.

[0116] In this embodiment, radar parameter values adapted to different industries are set, so that the obtained radar data can better reflect the difference between the coverings and the surrounding environment in the geographical areas to be observed for each industry, thereby improving the accuracy of the industry activity calculated based on the radar data.

[0117] In addition, an embodiment of the present invention also proposes an industry activity monitoring device. Referring to Figure 5 , the device includes:

[0118] An acquisition module 10, configured to acquire observation data obtained by an earth observation device observing a geographical area to be observed corresponding to a target industry within a preset time, where the observation data characterizes the degree of difference between the observed point and the surrounding environment;

[0119] A calculation module 20, configured to calculate the industry activity of the geographical area to be observed within the preset time according to the observation data.

[0120] Further, the calculation module 20 includes:

[0121] A calculation unit, configured to perform a statistical calculation on the observation data corresponding to each coordinate point of the geographical area to be observed at each time point in the observation data, to obtain the industry activity of the geographical area to be observed within the preset time.

[0122] Further, the calculation unit includes:

[0123] The first calculation subunit is configured to calculate the average value of the observation data corresponding to each coordinate point of the geographical area to be observed in the observation data at the same time point, so as to obtain the statistical value corresponding to each time point within the preset time;

[0124] The second calculation subunit is configured to calculate the average value of the statistical values corresponding to each time point, so as to obtain the industry activity of the geographical area to be observed within the preset time.

[0125] Further, the acquisition module 10 is further configured to acquire the industry statistical data of the geographical area to be observed within the preset time;

[0126] The calculation module 20 is further configured to calculate and output the correlation coefficient between the industry statistical data and the industry activity.

[0127] Further, the acquisition module 10 is further configured to acquire the geographical location information of each manufacturing factory corresponding to the target industry; and acquire the regional image including the area where each manufacturing factory is located from the satellite map according to the geographical location information;

[0128] The device further includes:

[0129] An image recognition module, configured to perform image recognition on each of the regional images to obtain each new product placement area, and use each of the new product placement areas as the geographical area to be observed.

[0130] Further, the acquisition module 10 includes:

[0131] A sending unit, configured to send a data acquisition request to the earth observation device, where the data acquisition request carries the preset time and the geographical location information of the geographical area to be observed corresponding to the target industry;

[0132] A receiving unit, configured to receive the observation data obtained by observing the geographical area to be observed within the preset time returned by the earth observation device, where the earth observation device locates the geographical area to be observed based on the geographical location information.

[0133] Further, the earth observation device is a synthetic aperture radar in a satellite, and the device further includes:

[0134] A setting module, configured to set the parameter items of the synthetic aperture radar to preset parameter values corresponding to the target industry, where the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction.

[0135] In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a program for monitoring industry activity is stored. When the program for monitoring industry activity is executed by a processor, the steps of the method for monitoring industry activity as described above are implemented.

[0136] The present invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, the steps of the method for monitoring industry activity as described above are implemented.

[0137] For each embodiment of the device for monitoring industry activity, computer-readable storage medium, and computer product of the present invention, reference can be made to each embodiment of the method for monitoring industry activity of the present invention, which will not be elaborated here.

[0138] It should be noted that, in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the presence of additional identical elements in the process, method, article or device including such element.

[0139] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0140] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-described embodiment methods can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the embodiments of the present invention.

[0141] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for monitoring industry activity, characterized in that, The method includes: According to the characteristics of the covering objects in the geographical area to be observed in the target industry, setting the parameter items of the synthetic aperture radar to preset parameter values corresponding to the target industry, where the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction; Obtaining observation data obtained by an earth observation device observing the geographical area to be observed corresponding to the target industry within a preset time, where the observation data represents the degree of difference between the observed point and the surrounding environment, the earth observation device is a synthetic aperture radar or a device equipped with a synthetic aperture radar, the observation data includes the observation data of each coordinate point in the geographical area to be observed at each time point within the preset time, the observation data of a single coordinate point at a single time point includes one or more data items, the data items are VV data, VH data, HV data, or HH data, and the preset time is a single time point or a time period; Calculating the industry activity of the geographical area to be observed within the preset time according to the observation data; The step of calculating the industry activity of the geographical area to be observed within the preset time according to the observation data includes: Calculating the average value of the observation data corresponding to each coordinate point in the geographical area to be observed in the observation data at the same time point, and obtaining the statistical values corresponding to each time point within the preset time; Calculating the average value of the statistical values corresponding to each time point, and obtaining the industry activity of the geographical area to be observed within the preset time; Before the step of obtaining the observation data obtained by the earth observation device observing the geographical area to be observed corresponding to the target industry within a preset time, it further includes: Obtaining the geographical location information of each manufacturing factory corresponding to the target industry; Obtaining a regional image containing the area where each manufacturing factory is located from the satellite map according to the geographical location information; Performing image recognition on each of the regional images to obtain each new product placement area, and using each new product placement area as the geographical area to be observed.

2. The industry activity monitoring method according to claim 1, characterized in that, After the step of calculating the industry activity of the geographical area to be observed within the preset time according to the observation data, it further includes: Obtaining the industry statistical data of the geographical area to be observed within the preset time; Calculating and outputting the correlation coefficient between the industry statistical data and the industry activity.

3. The industry activity monitoring method according to claim 1, wherein The step of obtaining the observation data obtained by the earth observation device observing the geographical area to be observed corresponding to the target industry within a preset time includes: Sending a data acquisition request to the earth observation device, where the data acquisition request carries the preset time and the geographical location information of the geographical area to be observed corresponding to the target industry; Receiving the observation data obtained by the earth observation device observing the geographical area to be observed within the preset time, where the earth observation device locates the geographical area to be observed based on the geographical location information.

4. An industry activity monitoring device, characterized in that, The device includes: A setting module, configured to set the parameter items of the synthetic aperture radar to preset parameter values corresponding to the target industry according to the characteristics of the coverage in the geographical area to be observed in the target industry, where the parameter items include at least one or more of polarization mode, radar instrument mode, and satellite orbit direction; An acquisition module, configured to acquire the observation data obtained by the earth observation device observing the geographical area to be observed corresponding to the target industry within a preset time, where the observation data characterizes the degree of difference between the observed point and the surrounding environment, the earth observation device is a synthetic aperture radar or a device equipped with a synthetic aperture radar, the observation data includes the observation data of each coordinate point in the geographical area to be observed at each time point within the preset time, and the observation data of a single coordinate point at a single time point includes one or more data items, and the data item is VV data, VH data, HV data, or HH data, and the preset time is a time point or a time period; A calculation module, configured to calculate the industry activity level of the geographical area to be observed within the preset time according to the observation data; The calculation module includes: A calculation unit, configured to perform statistical calculation on the observation data of each coordinate point in the geographical area to be observed at each time point to obtain the industry activity level of the geographical area to be observed within the preset time, and the statistical calculation includes calculating one or more statistics such as average value, median, mode, variance, or standard deviation; The calculation unit includes: A first calculation subunit, configured to calculate the average value of the observation data of each coordinate point in the geographical area to be observed at the same time point to obtain the statistical values corresponding to each time point within the preset time; A second calculation subunit, configured to calculate the average value of the statistical values corresponding to each time point to obtain the industry activity level of the geographical area to be observed within the preset time; The acquisition module is further configured to acquire the geographical location information of each manufacturing factory corresponding to the target industry; and acquire the regional image containing the area where each manufacturing factory is located from the satellite map according to the geographical location information; The device further includes: An image recognition module, configured to perform image recognition on each of the regional images to obtain each new product placement area, and use each of the new product placement areas as the geographical area to be observed.

5. An industry activity monitoring device, characterized in that, The industry activity level monitoring device includes: a memory, a processor, and an industry activity level monitoring program stored on the memory and executable on the processor, and when the industry activity level monitoring program is executed by the processor, the steps of the industry activity level monitoring method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium, characterized in that, An industry activity level monitoring program is stored on the computer-readable storage medium, and when the industry activity level monitoring program is executed by the processor, the steps of the industry activity level monitoring method according to any one of claims 1 to 3 are implemented.

7. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the industry activity level monitoring method according to any one of claims 1 to 3 are implemented.

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