CN114255402B - Ecological environment restoration process dynamic supervision system based on big data - Google Patents
Ecological environment restoration process dynamic supervision system based on big data Download PDFInfo
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Abstract
The invention discloses an ecological environment restoration process dynamic supervision system based on big data, which comprises: the system comprises a repair data acquisition module, a repair engineering database, a phase change supervision module, a water quality retest early warning module, a repair adjustment module and a repair data sharing module, wherein the repair data acquisition module is used for acquiring ecological environment repair engineering project data, all acquired data are stored in the repair engineering database, the phase change supervision module is used for acquiring image data shot by satellite remote sensing and comparing the image data with historical image data, the water quality retest early warning module is used for judging whether the surrounding area of a river channel is changed or not, analyzing the influence degree of the water quality before and after the change, reminding the retest of the water quality, the repair adjustment module is used for adjusting the sewage interception position, the repair effect is evaluated after adjustment, and the repair data sharing module is used for sharing evaluation data, so that the sustainability of saving the ecological repair cost of the water environment is realized while the ecological repair effect is substantially improved.
Description
Technical Field
The invention relates to the technical field of ecological environment restoration supervision, in particular to a dynamic supervision system for an ecological environment restoration process based on big data.
Background
The ecological environment refers to the sum of the quantity and quality of water resources, land resources, biological resources and climate resources which affect the survival and development of human beings, is a compound ecological system related to the sustainable development of society and economy, the ecological environment problem refers to the survival and development of human beings, various negative feedback effects which are generated by the damage and pollution of the natural environment and endanger the survival of human beings are utilized and improved in the natural process, the ecological environment needs to be repaired and rebuilt after being damaged, the most main repair work is pollution discharge in the water environment repair process, the pollution interception work is needed in the pollution discharge process, namely, the pollutants are controlled within a certain range or collected so as to prevent the pollutants from diffusing, and the pollution interception implementation process is effectively monitored, so that the repair effect can be improved;
however, the existing supervision means mostly adopts manual supervision, the supervision efficiency is low, and meanwhile, some drawbacks exist: firstly, the selection of the sewage interception position is critical, the sewage interception position in the repair plan is possibly not the optimal position, and the adjustment is needed in the actual supervision process so as to save the sewage interception cost; secondly, the buildings around the river channel are changeable, the repair work is influenced by the demolition or replacement of the buildings, the change condition cannot be controlled in real time in the existing mode, the repair work cannot be adjusted in time, and the repair effect is influenced; finally, repair work is generally performed according to water quality test data before repair, and influence of building change on water quality is ignored, so that the water ecological repair effect is reduced.
Therefore, there is a need for a dynamic supervision system for an ecological restoration process based on big data to solve the above problems.
Disclosure of Invention
The invention aims to provide an ecological environment restoration process dynamic supervision system based on big data so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: ecological environment repair process dynamic supervision system based on big data, its characterized in that: the system comprises: the system comprises a repair data acquisition module, a repair engineering database, a phase change supervision module, a water quality re-measurement early warning module, a repair adjustment module and a repair data sharing module;
the restoration data acquisition module is used for acquiring the sewage interception data and the corresponding water quality data needing sewage interception in the ecological environment restoration project; storing all collected data into the repair engineering database; the phase change supervision module is used for acquiring image data shot by satellite remote sensing in the actual ecological environment restoration process, comparing the image data with historical image data and transmitting a comparison result to the water quality re-measurement early-warning module; the water quality retest early warning module is used for judging whether the area around the river channel changes according to the comparison result, analyzing the influence degree of the changed area on the water quality, comparing the influence degree with the influence degree of the history area on the water quality, and reminding retesting the water quality if the current influence degree is higher than the history influence degree; the repair adjustment module is used for adjusting the sewage interception position according to the position change condition of the sewage outlet, and evaluating the repair effect after adjustment; the repair data sharing module is used for updating and sharing evaluation data of the repair effect with related departments.
Further, the repair data acquisition module comprises a sewage interception position acquisition unit, a pollution discharge position acquisition unit and a water quality information acquisition unit, wherein the sewage interception position acquisition unit is used for acquiring originally planned sewage interception position data in ecological environment repair engineering projects; the drainage position acquisition unit is used for acquiring drainage position data of buildings around the river to be repaired; the water quality information acquisition unit is used for acquiring river water quality data.
Further, the phase change supervision module comprises a remote sensing real-time monitoring unit, a data calling unit and a remote sensing data comparison unit, wherein the remote sensing real-time monitoring unit is used for shooting river channel images by utilizing satellite remote sensing; the data retrieving unit is used for retrieving the historical image data in the repair engineering database; the telemetering data comparison unit is used for comparing the image data, analyzing whether the building is changed or not, and transmitting the comparison result to the water quality re-measurement early-warning module and the restoration adjustment module.
Further, the water quality retest early warning module comprises a change influence analysis unit and a water quality retest reminding unit, wherein the change influence analysis unit is used for analyzing the influence degree of building position distribution in a current shot image on the river water quality, comparing the current influence degree with the historical influence degree, and sending a water quality retest early warning signal through the water quality retest reminding unit if the current influence degree is higher than the historical influence degree.
Further, the repair adjustment module comprises a sewage interception position adjustment unit and an effect pre-evaluation unit, wherein the sewage interception position adjustment unit is used for adjusting the sewage interception position according to the position change of the sewage outlet; the effect pre-evaluation unit is used for pre-evaluating the dirt interception effect after adjusting the dirt interception position to generate evaluation data; the repair data sharing module comprises a repair data updating unit and an information collaborative sharing unit, wherein the repair data updating unit is used for updating ecological environment repair data after the pollution interception position is adjusted; the information cooperative sharing unit is used for sharing the evaluation data.
Further, the original planned sewage interception position coordinates are collected by the sewage interception position collecting unit to be (X0, Y0), the position coordinates of the sewage outlets of the structures around the river, which need to be repaired, are collected by the sewage interception position collecting unit to be (X, Y) = { (X1, Y1), (X2, Y2), (xn, yn) }, wherein n represents the number of sewage outlets, the concentration of pollutants discharged by the sewage outlets of the structures around the river, which have been tested for water quality, is collected by the water quality information collecting unit to be C= { C1, C2, & gt, cn }, the optimal position coordinates of the original sewage interception are set to be (X, Y), and a binary function is constructed:wherein xi and yi respectively represent the horizontal coordinate and the vertical coordinate of a random sewage outlet position, and whether the original planned sewage interception position is the optimal position is judged according to the following formula:
obtaining X and Y, comparing (X, Y) with (X0, Y0), if X0 is not equal to X or Y0 is not equal to Y, judging that the original planned sewage interception concentrated position is not the optimal position, adjusting the original planned sewage interception position coordinate to be (X, Y), obtaining the optimal sewage interception position before the construction around the river channel is monitored by obtaining the extremum through the binary function, obtaining the shortest distance between the position and each sewage outlet, reducing the calculation difficulty compared with the traditional optimal position obtaining mode, and aiming at judging whether the planned sewage interception position is optimal or not, if not, adjusting the planned sewage interception position is beneficial to reducing the needed sewage interception nano tube length and saving the ecological environment restoration cost.
Further, the remote sensing real-time monitoring unit is used for shooting river channel images, current river channel high-view images are obtained, the data calling unit is used for calling historical high-view images of the corresponding river channel, and the remote sensing data comparison unit is used for comparing the current high-view images with the historical high-view images: if the shape of the building and the color of the top of the building in the image are unchanged, judging that the building is unchanged, and selecting an original planned sewage interception position to execute sewage interception work; if the shape of the building or the color of the top of the building in the image is changed, judging that the building is updated, confirming that the building is removed or replaced, and transmitting a confirmation result to the water quality re-measurement early-warning module and the restoration adjustment module.
Further, the influence degree of the building position distribution in the current shot image on the river water quality is analyzed by utilizing the change influence analysis unit: the obtained confirmation result is: the number of removed buildings is m, the number of replaced buildings is k, the concentration set of pollutants at a building drain outlet of an original building is C ' = { C1', C2',.
Wherein C is Total (S) The water quality pollutant concentration is shown to be tested, cj 'shows the pollutant concentration of the building drain outlet of a random replacement original building, cj shows the pollutant concentration of the building drain outlet corresponding to the replacement, the influence coefficient Q' of the Q and the historical building position distribution on the river water quality is compared,if Q is less than or equal to Q', the current influence degree is not beyond the history influence degree, and no early warning is carried out; if Q>Q', the current influence degree is higher than the historical influence degree, the water quality retest warning unit is utilized to send a water quality retest warning signal, the buildings around the river channel are changeable, the corresponding drain outlet changes are judged when the building changes are monitored, the influence degree of the building changes on the water quality of the river channel is mapped, the influence coefficient is obtained according to the concentration of pollutants discharged by each drain outlet and the comprehensive concentration of the tested water quality pollutants, whether the water quality is needed to be retested is judged according to the influence coefficient before and after the building changes, the ecological restoration work adjustment is facilitated according to retested water quality data, and the substantivity of the ecological restoration effect is improved.
Further, the dirt interception position is adjusted by the dirt interception position adjusting unit: the set of building drain location coordinates that were removed were obtained as (x ', y') = { (x 1', y 1'), (x 2', y 2') },., (xm ', ym') }, and the binary function was reconstructedWherein xj 'and yj' respectively represent the horizontal coordinate and the vertical coordinate of the position of a dismantled building drain outlet, and the adjusted optimal position for intercepting the sewage is calculated according to the following formula:
and obtaining new values of X and Y, namely the horizontal coordinate and the vertical coordinate of the adjusted optimal position for intercepting the sewage, finishing the repairing work according to the readjusted optimal position for intercepting the sewage, evaluating the sewage interception effect after finishing the repairing work by utilizing the effect pre-evaluation unit to generate evaluation data, wherein the removed building represents the reduction of the corresponding sewage outlet, and calculating the new optimal position for intercepting the sewage according to the new position data of the sewage outlet, thereby being beneficial to timely adjusting the ecological repairing work according to the change condition of the building, and maintaining the maintenance and saving the repairing cost.
Furthermore, the repair data updating unit is used for updating the evaluation data, the information collaborative sharing unit is used for sharing the evaluation data with related departments, and the supervision evaluation data is shared, so that the problems of large repair data dispersion and integration difficulty in the prior art are solved.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, original image data is acquired through big data, a new image is shot by utilizing satellite remote sensing, image comparison is carried out, whether the buildings around the river channel are changed or not is judged, a specific building change mode is analyzed, and whether the pollution interception position before the building change in the original plan is optimal or not is firstly judged, so that the planned pollution interception position is adjusted, the required pollution interception nano tube length is reduced, and the ecological environment restoration cost is saved; secondly, after the construction changes, analyzing the change of the position of the sewage outlet, and timely adjusting the sewage interception position, thereby realizing the sustainability of saving the ecological restoration cost of the water environment; finally, the influence coefficients of the building before and after the change on the water quality are compared to judge whether the water quality needs to be retested, so that the adjustment of ecological restoration work according to retested water quality data is facilitated, and the substantivity of the ecological restoration effect is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of the dynamic supervision system of the ecological environment restoration process based on big data of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1, the present invention provides the following technical solutions: ecological environment repair process dynamic supervision system based on big data, its characterized in that: the system comprises: the system comprises a repair data acquisition module, a repair engineering database, a phase change supervision module, a water quality re-measurement early warning module, a repair adjustment module and a repair data sharing module;
the restoration data acquisition module is used for acquiring the sewage interception data and the corresponding water quality data needing sewage interception in the ecological environment restoration project; storing all the collected data into a repair engineering database; the phase change supervision module is used for acquiring image data shot by satellite remote sensing in the actual ecological environment restoration process, comparing the image data with the historical image data, and transmitting a comparison result to the water quality re-measurement early-warning module; the water quality retest early warning module is used for judging whether the area around the river channel changes according to the comparison result, analyzing the influence degree of the changed area on the water quality, comparing the influence degree with the influence degree of the history area on the water quality, and reminding retesting the water quality if the current influence degree is higher than the history influence degree; the repair adjustment module is used for adjusting the sewage interception position according to the position change condition of the sewage outlet, and evaluating the repair effect after adjustment; the repair data sharing module is used for updating and sharing evaluation data of the repair effect with related departments.
The repair data acquisition module comprises a sewage interception position acquisition unit, a sewage discharge position acquisition unit and a water quality information acquisition unit, wherein the sewage interception position acquisition unit is used for acquiring originally planned sewage interception position data in ecological environment repair engineering projects; the drainage position acquisition unit is used for acquiring drainage position data of buildings around the river channel to be repaired; the water quality information acquisition unit is used for acquiring river water quality data.
The phase change monitoring module comprises a remote sensing real-time monitoring unit, a data calling unit and a remote sensing data comparison unit, wherein the remote sensing real-time monitoring unit is used for shooting river channel images by utilizing satellite remote sensing; the data calling unit is used for calling historical image data in the repair engineering database; the telemetering data comparison unit is used for comparing the image data, analyzing whether the building is changed or not, and transmitting the comparison result to the water quality retest early warning module and the repair adjustment module.
The water quality retest early warning module comprises a change influence analysis unit and a water quality retest reminding unit, wherein the change influence analysis unit is used for analyzing the influence degree of building position distribution in a current shot image on the river water quality, comparing the current influence degree with the historical influence degree, and sending a water quality retest early warning signal through the water quality retest reminding unit if the current influence degree is higher than the historical influence degree.
The repair adjustment module comprises a sewage interception position adjustment unit and an effect pre-evaluation unit, and the sewage interception position adjustment unit is used for adjusting the sewage interception position according to the position change of the sewage outlet; the effect pre-evaluation unit is used for pre-evaluating the dirt interception effect after adjusting the dirt interception position to generate evaluation data; the repair data sharing module comprises a repair data updating unit and an information collaborative sharing unit, and the repair data updating unit is used for updating the ecological environment repair data after the pollution interception position is adjusted; the information cooperative sharing unit is used for sharing the evaluation data.
The method comprises the steps of collecting original planned sewage interception position coordinates (X0, Y0) by a sewage interception position collecting unit, collecting a position coordinate set of a sewage outlet of a river surrounding building needing to be repaired by a sewage interception position collecting unit to be (X, Y) = { (X1, Y1), (X2, Y2), (xn, yn) }, wherein n represents the number of sewage outlets, collecting a pollutant concentration set discharged by the sewage outlet of the river surrounding building with water quality tested by a water quality information collecting unit to be C= { C1, C2, the..cn }, setting the original sewage interception optimal position coordinate set to be (X, Y), and constructing a binary function:wherein xi and yi respectively represent the horizontal coordinate and the vertical coordinate of a random sewage outlet position, and the original planned sewage interception position is judged according to the following formulaWhether the position is the best position:
obtaining X and Y, comparing (X, Y) with (X0, Y0), if X0 is not equal to X or Y0 is not equal to Y, judging that the original planned sewage interception concentrated position is not the optimal position, adjusting the original planned sewage interception position coordinate to be (X, Y), obtaining the optimal sewage interception position before the construction around the river channel is monitored by obtaining the extremum through a binary function, obtaining the shortest distance from the obtained position to each sewage outlet, compared with the traditional optimal position obtaining mode, reducing the calculation difficulty, aiming at judging whether the planned sewage interception position is optimal or not, and if not, adjusting the planned sewage interception position, reducing the needed sewage interception nano tube length and saving the ecological environment restoration cost.
Shooting river channel images by utilizing a remote sensing real-time monitoring unit, acquiring current river channel high-view images, calling corresponding river channel historical high-view images by utilizing a data calling unit, and comparing the current high-view images with the historical high-view images by utilizing a telemetry data comparison unit: if the shape of the building and the color of the top of the building in the image are unchanged, judging that the building is unchanged, and selecting an original planned sewage interception position to execute sewage interception work; if the shape of the building or the color of the top of the building in the image is changed, the building is judged to be updated, the building is confirmed to be dismantled or replaced, and the confirmation result is transmitted to the water quality re-measurement early-warning module and the repair and adjustment module.
The influence degree of the building position distribution in the current shot image on the river water quality is analyzed by utilizing a change influence analysis unit: the obtained confirmation result is: the number of removed buildings is m, the number of replaced buildings is k, the concentration set of pollutants at a building drain outlet of an original building is C ' = { C1', C2',.
Wherein C is Total (S) The water quality pollutant concentration is shown to be tested, cj 'shows the pollutant concentration of the building drain outlet of a random replacement original building, cj shows the pollutant concentration of the building drain outlet corresponding to the replacement, the influence coefficient Q' of the Q and the historical building position distribution on the river water quality is compared,if Q is less than or equal to Q', the current influence degree is not beyond the history influence degree, and no early warning is carried out; if Q>Q', the current influence degree is higher than the historical influence degree, the water quality retest warning unit is utilized to send a water quality retest warning signal, the influence coefficient is obtained according to the concentration of pollutants discharged by each sewage outlet and the comprehensive concentration of the tested water quality pollutants, whether retest of water quality is needed is judged according to the influence coefficient before and after construction change, the adjustment of ecological restoration work according to retest water quality data is facilitated, and the substantivity of ecological restoration effect is improved.
The sewage interception position is adjusted by utilizing the sewage interception position adjusting unit: the set of building drain location coordinates that were removed were obtained as (x ', y') = { (x 1', y 1'), (x 2', y 2') },., (xm ', ym') }, and the binary function was reconstructedWherein xj 'and yj' respectively represent the horizontal coordinate and the vertical coordinate of the position of a dismantled building drain outlet, and the adjusted optimal position for intercepting the sewage is calculated according to the following formula:
and obtaining new X and Y values, namely the horizontal and vertical coordinates of the adjusted optimal position for intercepting the sewage, finishing the repair work according to the readjusted optimal position for intercepting the sewage, evaluating the sewage effect after finishing the repair work by using an effect pre-evaluation unit, generating evaluation data, calculating the new optimal position for intercepting the sewage according to the new position data of the sewage outlet, and adjusting the ecological repair work in time according to the change condition of the building, thereby realizing the sustainability of saving the repair cost.
The evaluation data is updated by the repair data updating unit, and is shared with the related departments by the information cooperative sharing unit.
Embodiment one: the original planned sewage interception position coordinates are acquired by the sewage interception position acquisition unit to be (X0, Y0) = (2, 2), the set of the position coordinates of the sewage outlets of the buildings around the river, which are required to be repaired, acquired by the sewage interception position acquisition unit to be (X, Y) = { (X1, Y1), (X2, Y2), (X3, Y3) } = { (0, 1), (3, 4), (10, 2) }, the original optimal position coordinates of sewage interception are set to be (X, Y), and a binary function is constructed:according to the formulaJudging whether the original planned sewage interception position is the optimal position or not: yield x=13/3, y=7/3, compare (X, Y) and (X0, Y0): x0 not equal to X or y0 not equal to Y, judging that the original planned sewage interception concentrated position is not the optimal position, and adjusting the original planned sewage interception position coordinate to (X, Y) = (13/3, 7/3);
embodiment two: the sewage interception position is adjusted by utilizing the sewage interception position adjusting unit: acquiring a dismantled building drain position coordinate set as (x ', y') = (x 1', y 1') = (3, 4), and reconstructing a binary functionAccording to the formulaAnd->Calculating the adjusted optimal position of the dirt interception to obtain new values of X and Y: and X=5 and Y=3, the adjusted optimal dirt interception position is (5, 3), and the repair work is completed according to the readjusted dirt interception position.
Finally, it should be noted that: the foregoing is merely a preferred example of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. Ecological environment repair process dynamic supervision system based on big data, its characterized in that: the system comprises: the system comprises a repair data acquisition module, a repair engineering database, a phase change supervision module, a water quality re-measurement early warning module, a repair adjustment module and a repair data sharing module;
the restoration data acquisition module is used for acquiring the sewage interception data and the corresponding water quality data needing sewage interception in the ecological environment restoration project; storing all collected data into the repair engineering database; the phase change supervision module is used for acquiring image data shot by satellite remote sensing in the actual ecological environment restoration process, comparing the image data with historical image data and transmitting a comparison result to the water quality re-measurement early-warning module; the water quality retest early warning module is used for judging whether the area around the river channel changes according to the comparison result, analyzing the influence degree of the changed area on the water quality, comparing the influence degree with the influence degree of the history area on the water quality, and reminding retesting the water quality if the current influence degree is higher than the history influence degree; the repair adjustment module is used for adjusting the sewage interception position according to the position change condition of the sewage outlet, and evaluating the repair effect after adjustment; the repair data sharing module is used for updating and sharing evaluation data of the repair effect with related departments;
the water quality retest early warning module comprises a change influence analysis unit and a water quality retest reminding unit, wherein the change influence analysis unit is used for analyzing the influence degree of building position distribution in a current shot image on the water quality of a river, comparing the current influence degree with the historical influence degree, and sending a water quality retest early warning signal through the water quality retest reminding unit if the current influence degree is higher than the historical influence degree;
the concentration set of pollutants discharged from the drain outlet of the buildings around the river after the water quality is tested is C= { C1, C2, and is equal to Cn }, and the influence degree of the building position distribution in the current shot image on the water quality of the river is analyzed by utilizing the change influence analysis unit: the obtained confirmation result is: the number of the dismantled buildings is m, the number of the replaced buildings is k, and the concentration set of the pollutant at the drain outlet of the original building is C ’ ＝{C1 ’ ，C2 ’ ，...，Ck ’ Calculating an influence coefficient Q of current building position distribution on river water quality according to the following formula:
wherein C is Total (S) Represents the concentration of the tested water quality pollutant, cj ’ The pollution concentration of the building drain outlet of the original building is randomly replaced, cj represents the pollution concentration of the building drain outlet corresponding to the replacement, and the influence coefficient Q of Q and historical building position distribution on the river water quality is compared ’ ，If Q is less than or equal to Q ’ The current influence degree is not beyond the history influence degree, and early warning is not carried out; if Q>Q ’ And the current influence degree is higher than the historical influence degree, and the water quality retest warning unit is used for sending out a water quality retest warning signal, wherein n represents the number of sewage outlets.
2. The big data based dynamic supervision system for an ecological restoration process according to claim 1, wherein: the repair data acquisition module comprises a sewage interception position acquisition unit, a sewage discharge position acquisition unit and a water quality information acquisition unit, wherein the sewage interception position acquisition unit is used for acquiring originally planned sewage interception position data in ecological environment repair engineering projects; the drainage position acquisition unit is used for acquiring drainage position data of buildings around the river to be repaired; the water quality information acquisition unit is used for acquiring river water quality data.
3. The big data based dynamic supervision system for an ecological restoration process according to claim 1, wherein: the phase change supervision module comprises a remote sensing real-time monitoring unit, a data calling unit and a remote sensing data comparison unit, wherein the remote sensing real-time monitoring unit is used for shooting river channel images by utilizing satellite remote sensing; the data retrieving unit is used for retrieving the historical image data in the repair engineering database; the telemetering data comparison unit is used for comparing the image data, analyzing whether the building is changed or not, and transmitting the comparison result to the water quality re-measurement early-warning module and the restoration adjustment module.
4. The big data based dynamic supervision system for an ecological restoration process according to claim 1, wherein: the repair adjustment module comprises a sewage interception position adjustment unit and an effect pre-evaluation unit, and the sewage interception position adjustment unit is used for adjusting the sewage interception position according to the position change of the sewage outlet; the effect pre-evaluation unit is used for pre-evaluating the dirt interception effect after adjusting the dirt interception position to generate evaluation data; the repair data sharing module comprises a repair data updating unit and an information collaborative sharing unit, wherein the repair data updating unit is used for updating ecological environment repair data after the pollution interception position is adjusted; the information cooperative sharing unit is used for sharing the evaluation data.
5. Big data based raw as claimed in claim 2Dynamic supervision system of state environment repair process, its characterized in that: the method comprises the steps of collecting original planned sewage interception position coordinates (X0, Y0) by a sewage interception position collecting unit, collecting a position coordinate set of a sewage outlet of a river surrounding building needing to be repaired by a sewage interception position collecting unit to be (X, Y) = { (X1, Y1), (X2, Y2), (xn, yn) }, wherein n represents the number of sewage outlets, collecting a pollutant concentration set discharged by the sewage outlet of the river surrounding building with water quality tested by a water quality information collecting unit to be C= { C1, C2, the..cn }, setting the original sewage interception optimal position coordinate set to be (X, Y), and constructing a binary function:wherein xi and yi respectively represent the horizontal coordinate and the vertical coordinate of a random sewage outlet position, and whether the original planned sewage interception position is the optimal position is judged according to the following formula:
obtaining X and Y, comparing (X, Y) with (X0, Y0), if X0 is not equal to X or Y0 is not equal to Y, judging that the original planned dirt interception position is not the optimal position, and adjusting the coordinates of the original planned dirt interception position to be (X, Y).
6. The big data based dynamic supervision system for an ecological restoration process according to claim 3, wherein: shooting river channel images by utilizing a remote sensing real-time monitoring unit, acquiring current river channel high-view images, calling corresponding river channel historical high-view images by utilizing a data calling unit, and comparing the current high-view images with the historical high-view images by utilizing a telemetry data comparison unit: if the shape of the building and the color of the top of the building in the image are unchanged, judging that the building is unchanged, and selecting an original planned sewage interception position to execute sewage interception work; if the shape of the building or the color of the top of the building in the image is changed, judging that the building is updated, confirming that the building is removed or replaced, and transmitting a confirmation result to the water quality re-measurement early-warning module and the restoration adjustment module.
7. The big data based dynamic supervision system for an ecological restoration process according to claim 4, wherein: and adjusting the sewage interception position by using the sewage interception position adjusting unit: the position coordinate set of the dismantled building drain outlet is obtained as (x) ’ ，y ’ )＝{(x1 ’ ，y1 ’ )，(x2 ’ ，y2 ’ )，...，(xm ’ ，ym ’ ) Reconstruction of binary functionsWherein xj ’ And yj ’ Respectively representing the horizontal coordinate and the vertical coordinate of the position of a dismantled building drain outlet, and calculating the adjusted optimal position of intercepting the sewage according to the following formula:
and obtaining new X and Y values, namely the adjusted transverse coordinates and the longitudinal coordinates of the optimal dirt interception position, completing the repair work according to the readjusted dirt interception position, and evaluating the dirt interception effect after the repair work is completed by utilizing the effect pre-evaluation unit to generate evaluation data.
8. The big data based dynamic supervision system for an ecological restoration process according to claim 7, wherein: and updating the evaluation data by using the repair data updating unit, and sharing the evaluation data with the related departments by using the information collaborative sharing unit.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2402765C1 (en) * | 2009-09-09 | 2010-10-27 | Государственное образовательное учреждение высшего профессионального образования Марийский государственный технический университет | Method of checking water contamination from plant root growth time |
| CN108982792A (en) * | 2018-06-05 | 2018-12-11 | 北京蓝尊科技有限公司 | A kind of ECOLOGICAL ENVIRONMENTAL MONITORING supervisory systems |
| CN110223001A (en) * | 2019-06-18 | 2019-09-10 | 北京蓝尊科技有限公司 | A kind of ecological environment reparation overall process dynamic supervision method and system |
| CN110220502A (en) * | 2019-06-11 | 2019-09-10 | 长江水利委员会长江科学院 | It is a kind of that dynamic monitoring method is built based on paddling for stereoscopic monitoring technology |
| CN111428914A (en) * | 2020-03-10 | 2020-07-17 | 中国环境科学研究院 | Method and device for determining water environment treatment engineering scheme and storage medium |
| CN111444595A (en) * | 2020-03-10 | 2020-07-24 | 中国环境科学研究院 | Sewage interception engineering environmental effect evaluation method and device based on SWMM and EFDC coupling model |
| CN111995056A (en) * | 2020-08-18 | 2020-11-27 | 江苏江达生态科技有限公司 | Systematic water ecological restoration method |
-
2021
- 2021-12-21 CN CN202111571422.0A patent/CN114255402B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2402765C1 (en) * | 2009-09-09 | 2010-10-27 | Государственное образовательное учреждение высшего профессионального образования Марийский государственный технический университет | Method of checking water contamination from plant root growth time |
| CN108982792A (en) * | 2018-06-05 | 2018-12-11 | 北京蓝尊科技有限公司 | A kind of ECOLOGICAL ENVIRONMENTAL MONITORING supervisory systems |
| CN110220502A (en) * | 2019-06-11 | 2019-09-10 | 长江水利委员会长江科学院 | It is a kind of that dynamic monitoring method is built based on paddling for stereoscopic monitoring technology |
| CN110223001A (en) * | 2019-06-18 | 2019-09-10 | 北京蓝尊科技有限公司 | A kind of ecological environment reparation overall process dynamic supervision method and system |
| CN111428914A (en) * | 2020-03-10 | 2020-07-17 | 中国环境科学研究院 | Method and device for determining water environment treatment engineering scheme and storage medium |
| CN111444595A (en) * | 2020-03-10 | 2020-07-24 | 中国环境科学研究院 | Sewage interception engineering environmental effect evaluation method and device based on SWMM and EFDC coupling model |
| CN111995056A (en) * | 2020-08-18 | 2020-11-27 | 江苏江达生态科技有限公司 | Systematic water ecological restoration method |
Non-Patent Citations (1)
| Title |
|---|
| 基于生态补水的调蓄池出水处理流程分析研究———以万家湖流域为例;赵琴;《绿色科技》;第23卷(第04期);77-79 * |
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