阅读说明：本技术 基于全光谱的水质指标监测系统及水质监测的方法 (Water quality index monitoring system based on full spectrum and water quality monitoring method ) 是由 吴冬华 许科奎 何明倩 王安 朱康佳 姜少华 于 2021-07-28 设计创作，主要内容包括：本发明涉及一种基于全光谱的水质指标监测系统及水质监测的方法,该基于全光谱的水质指标监测系统包括有水质监测平台系统、水质监测装置和遥感卫星光谱数据源；水质监测装置包括有水质指标监测模块、太阳光监测模块、外设模块、主控模块和能源模块,其中,太阳光监测模块用于为所述水质监测装置提供太阳光光谱范围、辐照强度、均匀性和稳定性的数据采集,包括有微计算模组和太阳光监测模组。水质监测装置水质全光谱数据模拟成太阳照射水面形成的光谱数据,利用单点高精度指标模型预测单点指标数据,结合卫星光谱数据,反演出多点指标数据,形成平面指标数据和各种指标展示图,整体的反映流域内水质整体指标和变化趋势,有利于水质恶化的初期预警。(The invention relates to a water quality index monitoring system based on a full spectrum and a water quality monitoring method, wherein the water quality index monitoring system based on the full spectrum comprises a water quality monitoring platform system, a water quality monitoring device and a remote sensing satellite spectrum data source; the water quality monitoring device comprises a water quality index monitoring module, a sunlight monitoring module, a peripheral module, a main control module and an energy module, wherein the sunlight monitoring module is used for providing data acquisition of sunlight spectral range, irradiation intensity, uniformity and stability for the water quality monitoring device and comprises a micro-computing module and a sunlight monitoring module. The water quality full spectrum data of the water quality monitoring device is simulated into spectrum data formed by solar irradiation on the water surface, single-point index data is predicted by using a single-point high-precision index model, multi-point index data are inverted by combining satellite spectrum data to form a plane index data and various index display graphs, the whole indexes and the change trends of the water quality in a drainage basin are reflected integrally, and early warning of water quality deterioration is facilitated.)

1. A water quality index monitoring system based on full spectrum is characterized by comprising a water quality monitoring platform system, a water quality monitoring device and a remote sensing satellite spectrum data source; the water quality monitoring platform system is in signal communication connection with the water quality monitoring device through a monitoring terminal load balancing module, and is in signal communication connection with the remote sensing satellite spectrum data source through a satellite data load balancing module; the water quality monitoring device comprises a water quality index monitoring module, a sunlight monitoring module, a peripheral module, a main control module and an energy module, wherein the sunlight monitoring module is used for providing data acquisition of sunlight spectral range, irradiation intensity, uniformity and stability for the water quality monitoring device and comprises a micro-computing module and a sunlight monitoring module; the remote sensing satellite spectrum data source comprises various remote sensing satellites, a ground receiving station and a management platform.

2. The full spectrum-based water quality index monitoring system according to claim 1, wherein the water quality monitoring platform system further comprises a data cleaning module, a big data calculation module, a data model library, a management control module and an application display module; the monitoring terminal load balancing module is upwards connected with the management control module and the data cleaning module on one hand, receives a management instruction of the management control module, provides data of the water quality monitoring terminal for the data cleaning module, and downwards connected with the water quality monitoring device on the other hand, and forwards the management instruction to the water quality monitoring device; the satellite data load balancing module is connected with the management control module and the data cleaning module upwards on one hand, receives a management instruction of the management control module, provides remote sensing satellite spectrum data for the data cleaning module and is connected with the remote sensing satellite spectrum data source downwards on the other hand; the data cleaning module is connected with the big data computing module upwards on one hand to provide a data cleaning function for the big data computing module, and is connected with the monitoring terminal load balancing module and the satellite data load balancing module downwards on the other hand to receive various data provided by the monitoring terminal load balancing module and the satellite data load balancing module; the big data calculation module is connected with the management control module upwards on one hand, receives an instruction to perform big data calculation or modeling, and is connected with the data cleaning module and the data model base downwards on the other hand, receives the data cleaned by the data cleaning module, establishes a new model or optimizes the old model by using the cleaned data, or calculates an index result by using the cleaned data according to the model in the data model base; the data model base is upwards connected with the big data calculation module and stores various index models; the management control module is connected with the application display module upwards on one hand and receives a user operation instruction, and is connected with the monitoring terminal load balancing module, the satellite data load balancing module and the big data computing module downwards on the other hand to generate various computer executable operation instructions; the application display module is connected to an administrator or a user upwards on one hand and receives management, operation and requirements of the administrator or the user, and connected to the management control module downwards on the other hand, generates various instructions according to the management, operation and requirements of the administrator or the user, and displays an executed process, a result, a report form and a graph to the administrator or the user.

3. The full spectrum-based water quality indicator monitoring system of claim 1, wherein the water quality indicator monitoring module comprises a micro-control module, a detection module, an analog light source and a monitoring analog device; the micro control module is connected with the main control module upwards on one hand, receives the instruction of the main control module and transmits the acquired data to the main control module, and is connected with the detection module and the analog light source downwards on the other hand, and controls the data acquisition of the analog light source and the detection module; the detection module is upwards connected with the micro-control module, receives an instruction and acquires data; the analog light source is upwards connected with the micro-control module, receives an instruction and performs on-off and light energy adjustment; the monitoring simulation device is a device for simulating the sun to irradiate the water surface by using a light source, and provides a simulation environment for detection.

4. The full spectrum-based water quality index monitoring system according to claim 3, wherein the micro-computing module is connected with the main control module upwards on one hand, receives the instruction of the main control module and transmits the collected and calculated data to the main control module, and is connected with the sunlight monitoring module downwards on the other hand, controls the data collection and calculation of the sunlight monitoring module; the sunlight monitoring module is upwards connected with the micro-computing module, receives instructions and carries out data acquisition, and the acquisition and calculation comprise the spectral range, the irradiation intensity, the uniformity and the stability of sunlight.

5. The full spectrum-based water quality indicator monitoring system of claim 4, wherein the peripheral module comprises a positioning communication module, a camera alarm module, and an expansion module; the positioning communication module is simultaneously connected with the main control module and the water quality monitoring platform system upwards, receives a positioning and communication instruction sent by the water quality monitoring platform system through the main control module, and sends data acquired and calculated by the main control module to the water quality monitoring platform system; the camera alarm module is upwards connected with the main control module, receives the instruction of the main control module and performs alarm and video data acquisition; the expansion module is upwards connected with the main control module, provides expansion functions for equipment and comprises a USB, an HDMI and an I/O.

6. The full spectrum-based water quality indicator monitoring system of claim 5, wherein the master control module comprises a master control module a and a master control module b; on one hand, the two main control modules receive the electric energy supply of the energy module, and transmit the electric energy to the water quality index monitoring module, the sunlight monitoring module and the peripheral module while using the main control modules; on the other hand, the water quality index monitoring module and the sunlight monitoring module are connected downwards to control the process and flow of data acquisition; and on the last hand, the water quality monitoring platform system is upwards connected through the peripheral module, receives the instruction of the water quality monitoring platform system and transmits the acquired and calculated data to the water quality monitoring platform system.

7. The full spectrum-based water quality indicator monitoring system of claim 6, wherein the energy module comprises an energy control module, a battery module, a mains power access, and a clean energy access; the energy control module receives the instruction of the main control module upwards on one hand, and is connected with the mains supply energy access, the clean energy access and the storage battery module downwards to select the type of electric energy and charge the storage battery on the other hand; the storage battery module is upwards connected with the energy control module to receive a charging and discharging instruction and provide standby electric energy for equipment; the commercial power energy access is upwards connected with the energy control module to receive an instruction and provide commercial power for equipment; the clean energy access is upwards connected with the energy control module to receive an instruction and provide clean electric energy for equipment.

8. The full spectrum-based water quality index monitoring system according to claim 1, wherein the remote sensing satellites comprise various remote sensing satellites capable of collecting water surface spectrum data at home and abroad, are upwards connected with the ground receiving station and the management platform, and report the collected water surface spectrum data to the ground receiving station and the management platform; the ground receiving station and the management platform are upwards connected with the water quality monitoring platform system, and the water surface spectrum data collected by the remote sensing satellite is forwarded to the connected water quality monitoring platform system.

9. A method for water quality detection using the full spectrum-based water quality indicator monitoring system of claims 1-8, comprising the steps of:

s1 start-up device: starting a water quality index monitoring device;

s2, collecting field data, namely collecting spectrum data of background light, spherical light and water surface light on the spot by using a water quality index monitoring module of the water quality index monitoring device;

s3 sunlight parameter monitoring: collecting sunlight irradiation parameters including data of sunlight spectral range, irradiation intensity, uniformity and stability on an application site by using a sunlight monitoring module of the water quality index monitoring device;

s4 modeling satellite spectral data: calculating a correlation coefficient of an original spectral value of real-time skylight collected by a sunlight monitoring module of the water quality index monitoring device and correction skylight of the water quality index monitoring module, and calculating a distance average value in a wave band range of positive correlation of the real-time skylight and the correction skylight;

adding the calculated distance average value to each wave band by using the spectrum data of the background light, the spherical light and the water surface light collected in the step S2 to generate simulated satellite spectrum data;

s5 single-point high-precision index model, which is to be predicted and is extracted from the index model library of the water quality monitoring platform system;

s6 predicts single point index data: predicting index data of a monitoring point by using the simulated satellite spectrum data generated in the step S4 and combining the single-point high-precision index model obtained in the step S5;

s7 satellite spectral data: the spectral data of the remote sensing satellite is called;

s8 multipoint index data: performing inversion to generate multi-point index data by using the single-point index data predicted in the step S6 and combining the spectrum data of the remote sensing satellite in the step S7;

s9 plane index data: generating and storing index data of a water area plane;

s10 various index show diagrams: and generating and storing various index display graphs of the water area plane.

10. The method for detecting water quality according to claim 9, wherein in the step S4, the correlation coefficient calculation formula is as follows:

wherein: p represents the Pearson correlation coefficient and n represents the intra-segmentNumber of original spectra, x_iThe original spectrum value of the real-time skylight in the i wave band,average value, y, of real-time sky light within a segment_iCorrecting the original spectral value of the skylight in the i wave band,correcting an average value of the skylight within the segment;

dividing the wave bands of 200 nm-900 nm of real-time skylight and correction skylight into a plurality of sections of 50 nm/section, sequencing rho values of each section from high to low, and dividing the sections into two conditions: in the first case, if the rho value is less than 0.8, the original spectral trend of the segmented real-time skylight and the corrected skylight is considered to be weakly correlated, the number of the segments is increased again, for example, the segments are adjusted to 40 nm/segment, and a Pearson correlation coefficient is calculated; in the second case, ρ value is not less than 0.8 and not more than 1, then the original spectrum trends of the segmented real-time skylight and the corrected skylight are considered to be strongly correlated, the distance between the segmented real-time skylight and the corrected skylight in the original spectrum of the same wave band is calculated, and the calculation formula is as follows:

wherein D represents a distance average; n represents the number of original spectra in the segment; x is the number of_iThe original spectrum value of real-time skylight in i wave band; y is_iCorrecting the original spectral value of skylight in the i wave band;

for example, in a 550-600 nm waveband, a sunlight monitoring module of the water quality index monitoring device collects real-time skylight and an original spectral value rho value of the skylight corrected by the water quality index monitoring module is judged to be in positive correlation, and if D is calculated to be 680, 680 is added to each waveband data of the collected background light, the spherical light and the water surface light spectrum in S2 to generate simulated satellite spectrum data.

11. The water quality detection method according to claim 10, wherein the single-point high-precision index model modeling process in step S5 specifically comprises:

s51 selecting a remote sensing satellite: selecting a large area inversion application one or more remote sensor satellites;

s52 combing monitorable bands: combing the wave band which can be monitored by the remote sensing satellite;

s53 selecting and monitoring water quality index: selecting a water quality index to be detected or monitored, and analyzing that the water quality index has more explicit reflection in an observable wave band of a selected satellite;

s54 manual acquisition of gradient data: manually collecting dark current, a standard plate and skylight by using a water quality index monitoring module of the water quality index monitoring device, and correcting spectral data; acquiring spectral gradient data of background light, spherical light and water surface light by a water quality index monitoring module of the water quality index monitoring device through a concentration ratio gradient of a standard liquid, and randomly dividing the spectral gradient data into 70% of modeling data and 30% of verification data;

s5570% modeling data: saving and cleaning 70% of modeling data, wherein the cleaning data comprises duplication removal, deletion removal and denoising;

s5630% validation data: saving 30% of verification data;

s57 initial model one: modeling with the cleaned 70% data, wherein the modeling method comprises the steps of using, but not limited to, absorbance, reflectivity, a first derivative and a second derivative;

and S58 judgment: the initial model one was verified with 30% verification data,

A. if the precision does not meet the index precision requirement, returning to the step S54, and performing manual gradient data acquisition again;

B. if the precision meets the index requirement, performing step S59 to generate a high-precision index model of the laboratory;

s59 laboratory high accuracy index model: generating and storing a laboratory high-precision index model;

s510, field data acquisition: collecting background light, spherical light and water surface light spectrum data on an application site by using a water quality index monitoring module of the water quality index monitoring device;

s511 solar parameter monitoring: collecting sunlight irradiation parameters including data of sunlight spectral range, irradiation intensity, uniformity and stability on an application site by using a sunlight monitoring module of the water quality index monitoring device;

s512 initial model two: comparing real-time skylight collected by a sunlight monitoring module of the water quality index monitoring device with skylight corrected by the water quality index monitoring module of the step S54 to calculate and generate a correlation formula, wherein the calculation mode comprises a product, an addition or subtraction function or various functions, and the correlation formula is utilized to process spectral gradient data of the dark current standard plate, the background light, the spherical light and the water surface light collected in the step S54 to generate an initial model II;

s513 field comparison test: collecting data of water quality indexes through a field index comparison instrument; meanwhile, on-site water quality spectrum data is collected by using a water quality index monitoring module of the water quality index monitoring device, and a water quality index is predicted through a second initial model;

and S514, optimizing the model: performing algorithm optimization on the initial model II by using the result of the field comparison test in the step S513;

s515 field index model: generating a field index model;

s516 high-precision contrast instrument: testing the water quality index of a site by using a high-precision contrast instrument;

s517, judging: the index value generated by the field index model in the step S515 is judged with the water quality index value of the high-precision contrast instrument test field,

A. if the precision does not meet the index precision requirement, returning to the step S513, and performing the on-site comparison test and the model optimization again;

B. if the precision meets the index requirement, performing step S518 to generate a single-point high-precision index model;

s518 Single Point high precision index model: and generating and storing a single-point high-precision index model.

12. The method of claim 11, wherein in the step S53, for example, the water quality ammonia nitrogen indicator in the water quality indicator is a negative correlation between ammonia nitrogen and normalized reflectance within 634nm to 643nm, the maximum negative correlation coefficient r is-0.2196, and the maximum positive correlation coefficient r is 0.217 near 846 to 855 nm; and Band 4 Red (Red Band, 630-680 nm) and Band 5 NIR (near infrared Band 845-885 nm) of Landsat 8, the scheme can be used in combination with Landsat 8 satellite spectral data.

Technical Field

The invention relates to the technical field of remote sensing satellite water quality spectrum inversion environment monitoring, in particular to a water quality index monitoring system and a water quality monitoring method based on a full spectrum.

Background

The water quality index detection and monitoring scheme in water conservancy, environmental protection, municipal administration, ocean and aquaculture industry is a section detection and monitoring method, which can also be called as a single-point detection and monitoring method, usually, a plurality of electrode sensors are placed on some important gates, pump stations or convergence points for monitoring or sampling, and then chemical experiments are carried out to detect the water quality index, the method has the defects of high acquisition cost, large cycle span and heavy operation and maintenance, only reflects the water quality change or deterioration condition of the detection or monitoring points and a limited range, cannot integrally reflect the whole index and change trend of the water quality in a drainage basin, is not beneficial to early warning of water quality deterioration, and is not convenient for quickly tracing the root after the water quality deterioration; in the field of water environment remote sensing, a handheld spectrometer is used for collecting water surface spectra, a data model is formed by inversion of a standard, and large-area water area index change is predicted by combining satellite spectrum data, so that the overall index and change trend of water quality in a drainage basin can be integrally reflected, but the model is limited by the quantity of collected data due to the fact that the operation process is completely manual, the precision is not high, the single cost is high, the period is long, and the model is difficult to apply on a large scale.

Disclosure of Invention

The invention aims to solve the technical problem of providing a water quality index monitoring system based on a full spectrum, which can monitor water quality in real time and detect water quality quickly, and has high result accuracy.

In order to solve the technical problems, the invention adopts the technical scheme that: the water quality index monitoring system based on the full spectrum comprises a water quality monitoring platform system, a water quality monitoring device and a remote sensing satellite spectrum data source; the water quality monitoring platform system is in signal communication connection with the water quality monitoring device through a monitoring terminal load balancing module, and is in signal communication connection with the remote sensing satellite spectrum data source through a satellite data load balancing module; the water quality monitoring device comprises a water quality index monitoring module, a sunlight monitoring module, a peripheral module, a main control module and an energy module, wherein the sunlight monitoring module is used for providing data acquisition of sunlight spectral range, irradiation intensity, uniformity and stability for the water quality monitoring device and comprises a micro-computing module and a sunlight monitoring module; the remote sensing satellite spectrum data source comprises various remote sensing satellites, a ground receiving station and a management platform.

Preferably, the water quality monitoring platform system further comprises a data cleaning module, a big data calculation module, a data model base, a management control module and an application display module; the monitoring terminal load balancing module is upwards connected with the management control module and the data cleaning module on one hand, receives a management instruction of the management control module, provides data of the water quality monitoring terminal for the data cleaning module, and downwards connected with the water quality monitoring device on the other hand, and forwards the management instruction to the water quality monitoring device; the satellite data load balancing module is connected with the management control module and the data cleaning module upwards on one hand, receives a management instruction of the management control module, provides remote sensing satellite spectrum data for the data cleaning module, and is connected with the remote sensing satellite spectrum data source downwards on the other hand, so that the connection of a source satellite spectrum data source and the stability of data connection are ensured; the data cleaning module is connected with the big data computing module upwards on one hand, provides data cleaning functions for the big data computing module, including but not limited to data duplication removal, data deletion removal, data denoising and the like, and is connected with the monitoring terminal load balancing module and the satellite data load balancing module downwards on the other hand, and receives various data provided by the monitoring terminal load balancing module and the satellite data load balancing module; the big data calculation module is connected with the management control module upwards on one hand, receives an instruction to perform big data calculation or modeling, and is connected with the data cleaning module and the data model base downwards on the other hand, receives the data cleaned by the data cleaning module, establishes a new model or optimizes the old model by using the cleaned data, or calculates an index result by using the cleaned data according to the model in the data model base; the data model base is upwards connected with the big data calculation module and stores various index models; the management control module is connected with the application display module upwards on one hand and receives a user operation instruction, and is connected with the monitoring terminal load balancing module, the satellite data load balancing module and the big data computing module downwards on the other hand to generate various computer executable operation instructions; the application display module is connected to an administrator or a user upwards on one hand and receives management, operation and requirements of the administrator or the user, and connected to the management control module downwards on the other hand, generates various instructions according to the management, operation and requirements of the administrator or the user, and displays an executed process, a result, a report form and a graph to the administrator or the user.

Preferably, the water quality index monitoring module comprises a micro-control module, a detection module, a simulation light source and a monitoring simulation device; the micro control module is connected with the main control module upwards on one hand, receives the instruction of the main control module and transmits the acquired data to the main control module, and is connected with the detection module and the analog light source downwards on the other hand, and controls the data acquisition of the analog light source and the detection module; the detection module is upwards connected with the micro-control module, receives an instruction and acquires data; the analog light source is upwards connected with the micro-control module, receives an instruction and performs on-off and light energy adjustment; the monitoring simulation device is a device for simulating the sun to irradiate the water surface by using a light source, and provides a simulation environment for detection.

Preferably, the micro-computing module is connected with the main control module upwards on one hand, receives the instruction of the main control module and transmits the collected and calculated data to the main control module, and is connected with the sunlight monitoring module downwards on the other hand, and controls the sunlight monitoring module to collect and calculate the data; the sunlight monitoring module is upwards connected with the micro-computing module, receives instructions and carries out data acquisition, and the acquisition and calculation comprise the spectral range, the irradiation intensity, the uniformity and the stability of sunlight.

Preferably, the peripheral module comprises a positioning communication module, a camera alarm module and an expansion module; the positioning communication module is simultaneously connected with the main control module and the water quality monitoring platform system upwards, receives a positioning and communication instruction sent by the water quality monitoring platform system through the main control module, and sends data acquired and calculated by the main control module to the water quality monitoring platform system; the camera alarm module is upwards connected with the main control module, receives the instruction of the main control module and performs alarm and video data acquisition; the expansion module is upwards connected with the main control module, provides expansion functions for equipment and comprises a USB, an HDMI and an I/O.

Preferably, the master control module comprises a master control module a and a master control module b; on one hand, the two main control modules receive the electric energy supply of the energy module, and transmit the electric energy to the water quality index monitoring module, the sunlight monitoring module and the peripheral module while using the main control modules; on the other hand, the water quality index monitoring module and the sunlight monitoring module are connected downwards to control the process and flow of data acquisition; and on the last hand, the water quality monitoring platform system is upwards connected through the peripheral module, receives the instruction of the water quality monitoring platform system and transmits the acquired and calculated data to the water quality monitoring platform system.

Preferably, the energy module comprises an energy control module, a storage battery module, a mains supply energy access and a clean energy access; the energy control module receives the instruction of the main control module upwards on one hand, and is connected with the mains supply energy access, the clean energy access and the storage battery module downwards to select the type of electric energy and charge the storage battery on the other hand; the storage battery module is upwards connected with the energy control module to receive a charging and discharging instruction and provide standby electric energy for equipment; the commercial power energy access is upwards connected with the energy control module to receive an instruction and provide commercial power for equipment; the clean energy access is upwards connected with the energy control module to receive an instruction and provide clean electric energy for equipment.

Preferably, the remote sensing satellite comprises various remote sensing satellites capable of collecting water surface spectrum data at home and abroad, is upwards connected with the ground receiving station and the management platform, and reports the collected water surface spectrum data to the ground receiving station and the management platform; the ground receiving station and the management platform are upwards connected with the water quality monitoring platform system, and the water surface spectrum data collected by the remote sensing satellite is forwarded to the connected water quality monitoring platform system.

Manufacturing a monitoring simulation device to simulate a detection environment of the solar irradiation water surface, calculating full spectrum data (200-900 nm) collected by a water quality monitoring device, simulating the full spectrum data into spectrum data formed by the solar irradiation water surface, and finally forming a single-point high-precision index model through artificial gradient modeling and field data accumulation optimization model; when the collection test, simulate into the spectral data that the sun shines the surface of water formation with water quality monitoring devices quality of water full spectrum data (200 ~ 900nm), utilize single-point high accuracy index model prediction single-point index data, combine satellite spectral data, reverse to show multiple spot index data, form plane index data and various index show pictures, can be holistic reflection basin internal water quality whole index and the trend of change, be favorable to the early warning of quality of water deterioration, can just can directly perceivedly swift trace to the source at the initial stage of change simultaneously, index model is along with the automatic collection accumulation of data and optimizes, whole process manual intervention degree is low, and is with low costs, can be applied to the quality of water index monitoring of trades such as water conservancy on a large scale, the environmental protection, municipal administration, ocean and aquaculture.

The invention aims to solve the technical problem of providing a method for detecting water quality by adopting a full-spectrum-based water quality index monitoring system, which can be combined with satellite spectrum data to form plane index data and various index display graphs, can integrally reflect the whole indexes and change trends of water quality in a drainage basin, is favorable for early warning of water quality deterioration, has low manual intervention degree in the whole process and low cost, and can be widely applied to water quality index monitoring in the industries of water conservancy, environmental protection, municipal administration, ocean, aquaculture and the like.

In order to solve the technical problems, the invention adopts the technical scheme that: the method for detecting the water quality by adopting the full-spectrum-based water quality index monitoring system specifically comprises the following steps:

s1 start-up device: starting a water quality index monitoring device;

s2, collecting field data, namely collecting spectrum data of background light, spherical light and water surface light on the spot by using a water quality index monitoring module of the water quality index monitoring device;

s3 sunlight parameter monitoring: collecting sunlight irradiation parameters including data of sunlight spectral range, irradiation intensity, uniformity and stability on an application site by using a sunlight monitoring module of the water quality index monitoring device;

s4 modeling satellite spectral data: calculating a correlation coefficient of an original spectral value of real-time skylight collected by a sunlight monitoring module of the water quality index monitoring device and correction skylight of the water quality index monitoring module, and calculating a distance average value in a wave band range of positive correlation of the real-time skylight and the correction skylight;

adding the calculated distance average value to each wave band by using the spectrum data of the background light, the spherical light and the water surface light collected in the step S2 to generate simulated satellite spectrum data;

s5 single-point high-precision index model, which is to be predicted and is extracted from the index model library of the water quality monitoring platform system;

s6 predicts single point index data: predicting index data of a monitoring point by using the simulated satellite spectrum data generated in the step S4 and combining the single-point high-precision index model obtained in the step S5;

s7 satellite spectral data: the spectral data of the remote sensing satellite is called;

s8 multipoint index data: performing inversion to generate multi-point index data by using the single-point index data predicted in the step S6 and combining the spectrum data of the remote sensing satellite in the step S7;

s9 plane index data: generating and storing index data of a water area plane;

s10 various index show diagrams: and generating and storing various index display graphs of the water area plane.

Preferably, in the step S4, the correlation coefficient calculation formula is as follows:

wherein: p represents the Pearson correlation coefficient, n represents the number of original spectra within the segment, x_iThe original spectrum value of the real-time skylight in the i wave band,average value, y, of real-time sky light within a segment_iCorrecting the original spectral value of the skylight in the i wave band,correcting an average value of the skylight within the segment;

dividing the wave bands of 200 nm-900 nm of real-time skylight and correction skylight into a plurality of sections of 50 nm/section, sequencing rho values of each section from high to low, and dividing the sections into two conditions: in the first case, if the rho value is less than 0.8, the original spectral trend of the segmented real-time skylight and the corrected skylight is considered to be weakly correlated, the number of the segments is increased again, for example, the segments are adjusted to 40 nm/segment, and a Pearson correlation coefficient is calculated; in the second case, ρ value is not less than 0.8 and not more than 1, then the original spectrum trends of the segmented real-time skylight and the corrected skylight are considered to be strongly correlated, the distance between the segmented real-time skylight and the corrected skylight in the original spectrum of the same wave band is calculated, and the calculation formula is as follows:

wherein D represents a distance average; n represents the number of original spectra in the segment; x is the number of_iThe original spectrum value of real-time skylight in i wave band; y is_iCorrecting the original spectral value of skylight in the i wave band;

for example, in a 550-600 nm waveband, the sunlight monitoring module of the water quality index monitoring device collects real-time skylight and the original spectral value ρ value of the water quality index monitoring module correction skylight is judged to be positive correlation, and if D is calculated to be 680, 680 is added to each waveband data of the collected background light, spherical light and water surface light spectrum in S2 to generate simulated satellite spectrum data;

preferably, the single-point high-precision index model modeling process in step S5 specifically includes:

s51 selecting a remote sensing satellite: selecting a large area inversion application one or more remote sensor satellites;

s52 combing monitorable bands: combing the wave band which can be monitored by the remote sensing satellite;

s53 selecting and monitoring water quality index: selecting a water quality index to be detected or monitored, and analyzing that the water quality index has more explicit reflection in an observable wave band of a selected satellite;

s54 manual acquisition of gradient data: manually collecting dark current, a standard plate and skylight by using a water quality index monitoring module of the water quality index monitoring device, and correcting spectral data; acquiring spectral gradient data of background light, spherical light and water surface light by a water quality index monitoring module of the water quality index monitoring device through a concentration ratio gradient of a standard liquid, and randomly dividing the spectral gradient data into 70% of modeling data and 30% of verification data;

s5570% modeling data: saving and cleaning 70% of modeling data, wherein the cleaning data comprises duplication removal, deletion removal and denoising;

s5630% validation data: saving 30% of verification data;

s57 initial model one: modeling with the cleaned 70% data, wherein the modeling method comprises the following steps of not limiting to absorbance, reflectivity, a first derivative and a second derivative;

and S58 judgment: the initial model one was verified with 30% verification data,

A. if the precision does not meet the index precision requirement, returning to the step S54, and performing manual gradient data acquisition again;

B. if the precision meets the index requirement, performing step S59 to generate a high-precision index model of the laboratory;

s59 laboratory high accuracy index model: generating and storing a laboratory high-precision index model;

s510, field data acquisition: collecting background light, spherical light and water surface light spectrum data on an application site by using a water quality index monitoring module of the water quality index monitoring device;

s511 solar parameter monitoring: collecting sunlight irradiation parameters including data of sunlight spectral range, irradiation intensity, uniformity and stability on an application site by using a sunlight monitoring module of the water quality index monitoring device;

s512 initial model two: comparing real-time skylight collected by a sunlight monitoring module of the water quality index monitoring device with skylight corrected by the water quality index monitoring module of the step S54 to calculate and generate a correlation formula, wherein the calculation mode comprises a product, an addition or subtraction function or various functions, and the correlation formula is utilized to process spectral gradient data of the dark current standard plate, the background light, the spherical light and the water surface light collected in the step S54 to generate an initial model II;

s513 field comparison test: collecting data of water quality indexes through a field index comparison instrument; meanwhile, on-site water quality spectrum data is collected by using a water quality index monitoring module of the water quality index monitoring device, and a water quality index is predicted through a second initial model;

and S514, optimizing the model: performing algorithm optimization on the initial model II by using the result of the field comparison test in the step S513;

s515 field index model: generating a field index model;

s516 high-precision contrast instrument: testing the water quality index of a site by using a high-precision contrast instrument;

s517, judging: the index value generated by the field index model in the step S515 is judged with the water quality index value of the high-precision contrast instrument test field,

A. if the precision does not meet the index precision requirement, returning to the step S513, and performing the on-site comparison test and the model optimization again;

B. if the precision meets the index requirement, performing step S518 to generate a single-point high-precision index model;

s518 Single Point high precision index model: and generating and storing a single-point high-precision index model.

Preferably, in the step S53, for example, the water quality ammonia nitrogen indicator in the water quality indicator is a negative correlation between ammonia nitrogen and normalized reflectance within 634nm to 643nm, the maximum negative correlation coefficient r is-0.2196, and the maximum positive correlation coefficient r is 0.217 near 846 to 855 nm; and Band 4 Red (Red Band, 630-680 nm) and Band 5 NIR (near infrared Band 845-885 nm) of Landsat 8, the scheme can be used in combination with Landsat 8 satellite spectral data.

Drawings

The technical scheme of the invention is further described by combining the accompanying drawings as follows:

FIG. 1 is a system diagram of a full spectrum-based water quality indicator monitoring system according to the present invention;

FIG. 2 is a structural diagram of the water quality index monitoring device of the present invention;

FIG. 3 is a flow chart of a water quality monitoring method of the full spectrum-based water quality indicator monitoring system of the present invention;

FIG. 4 is a flow chart of the modeling of the single point high accuracy indicator model in FIG. 3;

FIG. 5 is a schematic structural view of a solar monitoring module;

FIG. 6 is a schematic top view of the structure of FIG. 5;

wherein: 1-a water quality monitoring platform system; 101-monitoring terminal load balancing module; 102-big data calculation module; 103-management control module; 104-a data cleansing module; 105-a database of data models; 106-application presentation module; 107-satellite data load balancing module; 2-an administrator; 3-the user; 4-a water quality monitoring device; 401-peripheral module, 4011-expansion module, 4012-positioning communication module and 4013-camera alarm module; 402-water quality index monitoring module, 4021-micro control module, 4022-detection module, 4023-simulation light source, 4024-monitoring simulation device; 403-main control module 4031-main control module a, 4032-main control module b; 404-a sunlight monitoring module, 4041-a micro-computing module, 4042-a sunlight monitoring module, 4043-a condensing collimating lens and 4044-a rotary light splitting grating; 405-an energy module, 4051-an energy control module, 4052-a storage battery module, 4053-mains supply energy access, 4054-clean energy access; 5-remote sensing satellite spectrum data source, 501-remote sensing satellite, 502-ground receiving station and management platform.

Detailed Description

For the purpose of enhancing the understanding of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and examples, which are provided for the purpose of illustration only and are not intended to limit the scope of the present invention.

Example (b): as shown in fig. 1, the water quality index monitoring system based on the full spectrum comprises a water quality monitoring platform system 1, a water quality monitoring device 4 and a remote sensing satellite spectrum data source 5; the water quality monitoring platform system 1 is in signal communication connection with the water quality monitoring device 4 through a monitoring terminal load balancing module 101, and the water quality monitoring platform system 1 is in signal communication connection with the remote sensing satellite spectrum data source 5 through a satellite data load balancing module 107; the water quality monitoring device 4 comprises a water quality index monitoring module 402, a sunlight monitoring module 404, a peripheral module 401, a main control module 403 and an energy module 405, wherein the sunlight monitoring module 404 is used for providing data acquisition of sunlight spectral range, irradiation intensity, uniformity and stability for the water quality monitoring device 4, and comprises a micro-computing module 4041 and a sunlight monitoring module 4042, as shown in fig. 5 and 6, the solar monitoring module 404 further includes a condensing collimating lens 4043 and a rotating beam splitting grating 4044, the condensing collimating lens 4043 condenses the incident sunlight and vertically irradiates the light splitting grating, the rotating light splitting grating 4044 splits the direct sunlight to irradiate the direct sunlight on the sunlight monitoring module 4042, the rotating light splitting grating 4044 can divide each nm waveband of the sunlight into 3 small particle wavebands, and similarly, a beam of white light is divided into 3 lights with different colors according to each nm; the remote sensing satellite spectrum data source 5 comprises various remote sensing satellites 501 and a ground receiving station and management platform 502.

The water quality monitoring platform system 1 further comprises a data cleaning module 104, a big data calculation module 102, a data model base 105, a management control module 103 and an application display module 106; the monitoring terminal load balancing module 101 is connected to the management control module 103 and the data cleaning module 104, receives a management instruction of the management control module 103, provides data of the water quality monitoring terminal for the data cleaning module 104, and is connected to the water quality monitoring device 4, and forwards the management instruction to the water quality monitoring device 4; the satellite data load balancing module 107 is connected with the management control module 103 and the data cleaning module 104 upwards, receives a management instruction of the management control module 103, provides remote sensing satellite spectrum data for the data cleaning module 104, and is connected with the remote sensing satellite spectrum data source 5 downwards; the data cleaning module 104 is connected to the big data computing module 102 upward to provide a data cleaning function for the big data computing module 102, and is connected to the monitoring terminal load balancing module 101 and the satellite data load balancing module 107 downward to receive various data provided by the monitoring terminal load balancing module 101 and the satellite data load balancing module 107; the big data calculation module 102 is connected with the management control module 103 upwards on one hand, receives an instruction to perform big data calculation or modeling, and is connected with the data cleaning module 104 and the data model base 105 downwards on the other hand, receives the data cleaned by the data cleaning module 104, establishes a new model or optimizes an old model by using the cleaned data, or calculates an index result by using the cleaned data according to the model in the data model base 105; the data model base 105 is connected with the big data calculation module 102 upwards and stores various index models; the management control module 103 is connected to the application display module 106 upward to receive a user operation instruction, and is connected to the monitoring terminal load balancing module 101, the satellite data load balancing module 107 and the big data computing module 102 downward to generate various computer-executable operation instructions; the application display module 106 is connected to the administrator 2 or the user 3 upwards to receive the management, operation and requirement of the administrator 2 or the user 3, and connected to the management control module 103 downwards to generate various instructions and display the executed processes, results, reports and diagrams to the administrator 2 or the user 3 according to the management, operation and requirement of the administrator 2 or the user 3.

The water quality index monitoring module 402 mainly has functions of water quality monitoring device 4 such as water lifting spectral data acquisition and the like, and comprises a micro-control module 4021, a detection module 4022, a simulation light source 4023 and a monitoring simulation device 4024; the micro control module 4021 is connected to the main control module 403, receives an instruction from the main control module 403, and transmits collected data to the main control module 403, and is connected to the detection module 4022 and the analog light source 4023, and controls data collection of the analog light source 4023 and the detection module 4022; the detection module 4022 is connected with the micro control module 4021 upwards, receives an instruction and performs data acquisition; the analog light source 4023 is connected with the micro control module 4021 upwards, receives an instruction, and performs on/off and light energy adjustment; the monitoring simulation device 4024 is a device for simulating the sun to irradiate the water surface by using a light source, and provides a simulation environment for detection.

The micro-computing module 4041 is connected to the main control module 403 upward, receives the instruction of the main control module 403 and transmits the collected and calculated data to the main control module 403, and is connected to the sunlight monitoring module 4042 downward, controls the sunlight monitoring module 4042 to collect and calculate the data; the sunlight monitoring module 4042 is connected with the micro-computing module 4041 upwards, receives instructions and performs data acquisition, and the acquisition and calculation include the spectral range, the irradiation intensity, the uniformity and the stability of sunlight.

As shown in fig. 2, the peripheral module 401 mainly provides peripheral services for the water quality monitoring device 4, and includes a positioning communication module 4012, a camera alarm module 4013, and an expansion module 4011; the positioning communication module 4012 is simultaneously connected to the main control module 403 and the water quality monitoring platform system 1, receives a positioning and communication instruction sent by the water quality monitoring platform system 1 through the main control module 403, and sends data acquired and calculated by the main control module 403 to the water quality monitoring platform system 1; the camera alarm module 4013 is connected to the main control module 403, receives the instruction of the main control module 403, and performs alarm and video data acquisition; the extension module 4011 is connected to the main control module 403, and provides an extension function for devices, including USB, HDMI, and I/O.

The main control module 403 mainly provides technical and control functions for the water quality monitoring device 4, comprises a main control module a 4031 and a main control module b 4032, and improves the computing capacity and stability of equipment through a 1+1 main/standby mode; on one hand, the two main control modules receive the electric energy supply of the energy module 405, and transmit the electric energy to the water quality index monitoring module 402, the sunlight monitoring module 404 and the peripheral module 401 while using the main control modules; on the other hand, the water quality index monitoring module 402 and the sunlight monitoring module 404 are connected downwards to control the process and flow of data acquisition; on the last hand, the system is connected to the water quality monitoring platform system 1 upwards through the peripheral module 401, receives the instruction of the water quality monitoring platform system 1 and transmits the collected and calculated data to the water quality monitoring platform system 1; the solar monitoring module 404 mainly provides data acquisition of solar spectral range, irradiation intensity, uniformity and stability for the water quality monitoring device.

The energy module 405 mainly provides electric energy for the water quality monitoring device 4, and comprises an energy control module 4051, a storage battery module 4052, a mains supply energy access 4053 and a clean energy access 4054; the energy control module 4051 receives the instruction of the main control module 403 from the upper side, and connects the commercial power access 4053, the clean energy access 4054 and the storage battery module 4052 from the lower side to select the type of electric energy and charge the storage battery; the storage battery module 4052 is connected with the energy control module 4051 upwards to receive a charging and discharging instruction, and provide standby electric energy for equipment; the mains supply energy access 4053 is upwards connected with the energy control module 4051 to receive an instruction, and mains supply electric energy is provided for equipment; the clean energy access 4054 is connected with the energy control module 4051 upwards to receive instructions, and clean electric energy is provided for equipment.

The remote sensing satellite 501 comprises various remote sensing satellites capable of collecting water surface spectrum data at home and abroad, is upwards connected with the ground receiving station and the management platform 502, and reports the collected water surface spectrum data to the ground receiving station and the management platform 502; the ground receiving station and management platform 502 is connected to the water quality monitoring platform system 1, and forwards the water surface spectrum data collected by the remote sensing satellite 501 to the connected water quality monitoring platform system 1.

In the water quality index monitoring system based on the full spectrum of this embodiment, the administrator is the management and maintenance personnel of the system, and the user is the user of the system.

The method for detecting water quality by adopting the water quality index monitoring system based on the full spectrum as shown in figure 4 specifically comprises the following steps:

s1 start-up device: starting a water quality index monitoring device;

s2, collecting field data, namely collecting spectrum data of background light, spherical light and water surface light on the spot by using a water quality index monitoring module of the water quality index monitoring device;

s3 sunlight parameter monitoring: collecting sunlight irradiation parameters including data of sunlight spectral range, irradiation intensity, uniformity and stability on an application site by using a sunlight monitoring module of the water quality index monitoring device;

s4 modeling satellite spectral data: calculating a correlation coefficient of an original spectral value of real-time skylight collected by a sunlight monitoring module of the water quality index monitoring device and correction skylight of the water quality index monitoring module, and calculating a distance average value in a wave band range of positive correlation of the real-time skylight and the correction skylight;

adding the calculated distance average value to each wave band by using the spectrum data of the background light, the spherical light and the water surface light collected in the step S2 to generate simulated satellite spectrum data;

s5 single-point high-precision index model, which is to be predicted and is extracted from the index model library of the water quality monitoring platform system;

s6 predicts single point index data: predicting index data of a monitoring point by using the simulated satellite spectrum data generated in the step S4 and combining the single-point high-precision index model obtained in the step S5;

s7 satellite spectral data: the spectral data of the remote sensing satellite is called;

s8 multipoint index data: performing inversion to generate multi-point index data by using the single-point index data predicted in the step S6 and combining the spectrum data of the remote sensing satellite in the step S7;

s9 plane index data: generating and storing index data of a water area plane;

s10 various index show diagrams: and generating and storing various index display graphs of the water area plane.

In step S4, the correlation coefficient calculation formula is as follows:

wherein: p represents the Pearson correlation coefficient, n represents the number of original spectra within the segment, x_iThe original spectrum value of the real-time skylight in the i wave band,average value, y, of real-time sky light within a segment_iCorrecting the original spectral value of the skylight in the i wave band,correcting an average value of the skylight within the segment;

dividing the wave bands of 200 nm-900 nm of real-time skylight and correction skylight into a plurality of sections of 50 nm/section, sequencing rho values of each section from high to low, and dividing the sections into two conditions: in the first case, if the rho value is less than 0.8, the original spectral trend of the segmented real-time skylight and the corrected skylight is considered to be weakly correlated, the number of the segments is increased again, for example, the segments are adjusted to 40 nm/segment, and a Pearson correlation coefficient is calculated; in the second case, ρ value is not less than 0.8 and not more than 1, then the original spectrum trends of the segmented real-time skylight and the corrected skylight are considered to be strongly correlated, the distance between the segmented real-time skylight and the corrected skylight in the original spectrum of the same wave band is calculated, and the calculation formula is as follows:

wherein D represents a distance average; n represents the number of original spectra in the segment; x is the number of_iThe original spectrum value of real-time skylight in i wave band; y is_iCorrecting the original spectral value of skylight in the i wave band;

for example, in a 550-600 nm waveband, the sunlight monitoring module of the water quality index monitoring device collects real-time skylight and the original spectral value ρ value of the water quality index monitoring module correction skylight is judged to be positive correlation, and if D is calculated to be 680, 680 is added to each waveband data of the collected background light, spherical light and water surface light spectrum in S2 to generate simulated satellite spectrum data;

as shown in fig. 3, the single-point high-precision index model modeling process in step S5 specifically includes:

s51 selecting a remote sensing satellite: selecting a large area inversion application one or more remote sensor satellites;

such as selection: landsat 8;

s52 combing monitorable bands: combing the wave band which can be monitored by the remote sensing satellite;

band 1 coast (coast Band, 433 & 453nm), Band 2 Blue (Blue Band, 450 & 515nm), Band 3 Green (Green Band, 525 & 600nm), Band 4 Red (Red Band, 630 & 680nm), Band 5 NIR (near infrared Band 845 & 885nm) of Landsat 8;

s53 selecting and monitoring water quality index: selecting a water quality index to be detected or monitored, and analyzing that the water quality index has more explicit reflection in an observable wave band of a selected satellite;

for example, the water quality ammonia nitrogen index in the water quality index is the negative correlation between ammonia nitrogen and normalized reflectivity between 634nm and 643nm, the maximum negative correlation coefficient r is-0.2196, and the maximum positive correlation coefficient r is 0.217 near 846-855 nm; and Landsat 8 Band 4 Red (Red Band, 630 and 680nm) and Band 5 NIR (near infrared Band 845 and 885nm), the scheme can be used in combination with Landsat 8 satellite spectral data;

s54 manual acquisition of gradient data: manually collecting dark current, a standard plate and skylight by using a water quality index monitoring module of the water quality index monitoring device, and correcting spectral data; acquiring spectral gradient data of background light, spherical light and water surface light by a water quality index monitoring module of the water quality index monitoring device through a concentration ratio gradient of a standard liquid, and randomly dividing the spectral gradient data into 70% of modeling data and 30% of verification data;

s5570% modeling data: saving and cleaning 70% of modeling data, wherein the cleaning data comprises duplication removal, deletion removal and denoising;

s5630% validation data: saving 30% of verification data;

s57 initial model one: modeling with the cleaned 70% data, wherein the modeling method comprises the following steps of not limiting to absorbance, reflectivity, a first derivative and a second derivative;

and S58 judgment: the initial model one was verified with 30% verification data,

A. if the precision does not meet the index precision requirement, returning to the step S54, and performing manual gradient data acquisition again;

B. if the precision meets the index requirement, performing step S59 to generate a high-precision index model of the laboratory;

s59 laboratory high accuracy index model: generating and storing a laboratory high-precision index model;

s510, field data acquisition: collecting background light, spherical light and water surface light spectrum data on an application site by using a water quality index monitoring module of the water quality index monitoring device;

s511 solar parameter monitoring: collecting sunlight irradiation parameters including data of sunlight spectral range, irradiation intensity, uniformity and stability on an application site by using a sunlight monitoring module of the water quality index monitoring device;

s512 initial model two: calculating a correlation coefficient of an original spectral value of real-time skylight collected by a sunlight monitoring module of the water quality index monitoring device and correction skylight of the water quality index monitoring module, and calculating a distance average value in a wave band range of positive correlation of the real-time skylight and the correction skylight; modeling to generate an initial model II by adding the calculated distance average value to each wave band data of the background light, the spherical light and the water surface light spectrum collected in the step S54;

s513 field comparison test: collecting data of water quality indexes through a field index comparison instrument; meanwhile, on-site water quality spectrum data is collected by using a water quality index monitoring module of the water quality index monitoring device, and a water quality index is predicted through a second initial model;

and S514, optimizing the model: performing algorithm optimization on the initial model II by using the result of the field comparison test in the step S513;

s515 field index model: generating a field index model;

s516 high-precision contrast instrument: testing the water quality index of a site by using a high-precision contrast instrument;

s517, judging: the index value generated by the field index model in the step S515 is judged with the water quality index value of the high-precision contrast instrument test field,

A. if the precision does not meet the index precision requirement, returning to the step S513, and performing the on-site comparison test and the model optimization again;

B. if the precision meets the index requirement, performing step S518 to generate a single-point high-precision index model;

s518 Single Point high precision index model: and generating and storing a single-point high-precision index model.

In the embodiment, the water quality index of the current test point, such as the simulated reflectivity R, can be calculated by adopting the prior art to simulate the sun irradiation water surface_rsWhen 1 is 0.1226, the concentration of water dissolved oxygen is 5 mg/L; the reflectivity R of the sunlight for the test is calculated by the sunlight monitoring module according to the method_rs2, such as R_rs2-0.1337, that is R_rsWhen 2 is 0.1337, the concentration of water dissolved oxygen is 5 mg/L; because the equipment is automatically collected, the water quality change gradient concentration value can be continuously calculated; downloading spectral data of a satellite, and calculating water of the whole large-area water area through automatic inversion of a platform algorithmThe quality index can generate index data of multiple points and a two-dimensional or three-dimensional index presentation graph.

Manufacturing a monitoring simulation device to simulate a detection environment of the solar irradiation water surface, calculating full spectrum data (200-900 nm) collected by a water quality monitoring device, simulating the full spectrum data into spectrum data formed by the solar irradiation water surface, and finally forming a single-point high-precision index model through artificial gradient modeling and field data accumulation optimization model; when the collection test, simulate into the spectral data that the sun shines the surface of water formation with water quality monitoring devices quality of water full spectrum data (200 ~ 900nm), utilize single-point high accuracy index model prediction single-point index data, combine satellite spectral data, reverse to show multiple spot index data, form plane index data and various index show pictures, can be holistic reflection basin internal water quality whole index and the trend of change, be favorable to the early warning of quality of water deterioration, can just can directly perceivedly swift trace to the source at the initial stage of change simultaneously, index model is along with the automatic collection accumulation of data and optimizes, whole process manual intervention degree is low, and is with low costs, can be applied to the quality of water index monitoring of trades such as water conservancy on a large scale, the environmental protection, municipal administration, ocean and aquaculture.

The invention has the advantages that:

(1) the acquisition, calculation and inversion are full-automatic, and the result can be output in real time;

(2) once collection, a plurality of water quality indexes can be calculated and inverted;

(3) the marginal cost is low, only the equipment and the maintenance cost are needed, and the device can be used for a long time after once investment;

(4) the process is fully automatic and has no human interference.

It is obvious to those skilled in the art that the present invention is not limited to the above embodiments, and it is within the scope of the present invention to adopt various insubstantial modifications of the method concept and technical scheme of the present invention, or to directly apply the concept and technical scheme of the present invention to other occasions without modification.