CN115789527A - Analysis system and method based on water environment informatization treatment - Google Patents
Analysis system and method based on water environment informatization treatment Download PDFInfo
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Abstract
The invention discloses an analysis system and method based on water environment information-based treatment, and belongs to the field of information-based treatment. The system comprises a data acquisition module, a data processing module, a model construction module, an abnormality identification module and an alarm module; the pipeline water level data are monitored and collected in real time through the data acquisition module, the monitoring data are processed through the data processing module, monitoring parameter values are determined, the model building module is used for building a visual model of the data acquired through real-time monitoring of the data acquisition module by means of GIS technology, the abnormity identification module is used for identifying abnormity of the pipeline water level data through abnormity identification and analysis, and alarm information is sent out for the abnormal monitoring data through the alarm module. Meanwhile, the safety performance monitoring method based on the big data is provided, real-time drainage monitoring of the drainage pipeline can be achieved, and the application scenes of blockage and overflow of the drainage pipeline by a sewage treatment plant are met based on information treatment.
Description
Technical Field
The invention relates to the field of informatization management, in particular to an analysis system and method based on water environment informatization management.
Background
The domestic sewage treatment is an important means for reducing the emission of pollutants in a municipal water system, and a municipal sewage treatment plant and a matched pipe network system are important components for building municipal environment infrastructures and play a very key role in controlling municipal water pollution and improving water environment. Along with the acceleration of the urbanization process, the urban rainwater problem and the blockage and overflow problem of a combined drainage pipeline become increasingly serious, the water environment pollution caused by the blockage and overflow of the pipeline becomes one of the main restriction factors for improving the water quality of a water body in part of cities, and the pipeline sewage contains various pathogenic microorganisms, nitrogen and phosphorus nutrients and other toxic and harmful substances, and if the sewage is directly discharged to the ground surface or the water body without being effectively treated, the water environment function is seriously damaged and the human health is harmed.
However, there are some problems with existing drain monitoring techniques: firstly, in the aspect of drainage pipeline monitoring, most China combines the monitoring mode of the national conditions of China on the basis of referring to and citing the advanced technology of the western countries, and still has a large gap compared with the advanced technology of foreign countries; secondly, in the process of urbanization development, a large amount of sewage generated by residents every day or a large amount of surface water caused by heavy rainstorm in the rainy season often causes the situations of drainage pipeline blockage and overflow, and the situations are always solved by processing after the occurrence of things, so that manpower, material resources and financial resources are consumed to a certain extent, and the society is slightly influenced; in addition, as most towns do not pay high attention to sewage treatment, each large sewage treatment plant also has sewage treatment process problems of different degrees, and the problems increase the difficulty of sewage treatment in the later period as long as time passes, so that the conditions such as the design scale, the treatment process, the effluent standard and the like of the established sewage treatment plant are not consistent with the actual requirements, and the sewage treatment process problems of different degrees can indirectly reduce the sewage treatment efficiency, thereby influencing the effect and the quality of the town sewage treatment.
Therefore, an analysis system and method based on water environment information-based treatment are needed.
Disclosure of Invention
The invention aims to provide an analysis system and method based on water environment informatization management, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme:
an analysis system based on water environment information-based treatment, which comprises: the system comprises a data acquisition module, a data processing module, a model construction module, an abnormality identification module and an alarm module;
the data acquisition module is used for monitoring the water level data of the pipeline in real time and acquiring data;
the data processing module is used for storing and processing the data monitored in the data acquisition module and determining a monitoring parameter value;
the model building module builds a visual model for the data monitored and collected by the data collection module in real time by using a GIS technology;
the anomaly identification module identifies the pipeline water level data anomaly through anomaly identification analysis;
the alarm module is used for responding to abnormal monitoring data and sending alarm information;
the output end of the data acquisition module is connected with the input end of the data processing module; the output end of the data processing module is connected with the input end of the model building module; the output end of the model building module is connected with the input end of the abnormity identification module; and the output end of the abnormity identification module is connected with the input end of the alarm module.
According to the technical scheme, the data acquisition module comprises a real-time monitoring unit and a water level data acquisition unit;
the real-time monitoring unit is used for monitoring the water level of a drainage pipeline of a sewage treatment plant in real time through a sensor, converting the sensed change of the water level into an electric signal and transmitting the electric signal to the water level data acquisition unit;
the water level data unit is used for receiving the electric signal information of the sensor and collecting water level data;
the output end of the sensor is connected with the input end of the data acquisition module; the data acquisition module is connected with the input end of the data processing module.
According to the technical scheme, the data processing module comprises a data synchronous storage unit and a parameter data management unit;
the synchronous storage unit is used for receiving water level data information in a water level data acquisition unit of the data acquisition module;
the parameter data management unit is used for classifying the parameter data acquired in the data acquisition module in real time;
the output end of the data acquisition module is connected with the input end of the data processing module; and the output end of the data processing module is connected with the input end of the model building module.
According to the technical scheme, the model building module comprises a building unit and a data extraction unit;
the construction unit is used for constructing a visual model for the data monitored and collected by the data collection module in real time by utilizing a GIS technology;
the data extraction unit is used for extracting the classification data in the parameter data management unit, and is combined with the constructed visual model to provide a data basis for the visual model;
the output end of the data processing module is connected with the input end of the model building module; and the output end of the model building module is connected with the input end of the abnormity identification module.
According to the technical scheme, the anomaly identification module compares historical data of drainage pipeline water level data of a sewage treatment plant acquired by the data acquisition module in real time, and performs anomaly identification analysis and identification on the water level data acquired in real time;
the output end of the model building module is connected with the input end of the abnormity identification module; and the output end of the abnormity identification module is connected with the input end of the alarm.
According to the technical scheme, the alarm module is connected with the abnormity identification module, and responds to the abnormity monitoring data in the abnormity processing module through an alarm to send alarm information;
and the output end of the abnormity identification module is connected with the input end of the alarm module.
An analysis method based on water environment information treatment comprises the following steps:
s1, monitoring the water level of a drainage pipeline through a sensor, acquiring real-time water level information, and synchronously acquiring the monitored water level information;
s2, constructing a visual model for the data monitored and collected in real time by the data collection module by utilizing a GIS technology;
s3, identifying the data abnormality of the pipeline water level through abnormality identification analysis;
and S4, responding to the abnormal monitoring data and sending alarm information.
According to the technical scheme, in the step S1, real-time water level information is obtained by monitoring the water level of the drainage pipeline through the sensors, information recording is carried out according to the water level change of each fixed time period, m sensors at different positions are counted, different water level information can be collected by the sensors at different positions in the same time period, and the sensor sequence is respectively recorded as { S } 1 ，S 2 ，S 3 ，S 4 ，S 5 ，…，S m Recording water level information obtained by monitoring by a sensor as S 1 ＝{T (time points) ，H 1 ，V 1 ，P 1 In which S is 1 Denotes the sensor numbered 1 in the drainage pipeline, T (time points) Indicating a certain point in time of monitoring, H 1 Indicating the sensor S 1 Monitored water level height, V, of the drain pipe 1 Indicating the sensor S 1 Monitored water discharge pipeline water flow velocity, P 1 Indicating the sensor S 1 A monitored water pressure value.
According to the technical scheme, in the step S2, a visual model is constructed by utilizing a GIS technology for data collected by the data collection module through real-time monitoring, the lowest point of the cross section of the pipeline is taken as an original point, the direction passing through the original point and from east to west is taken as the positive direction of an x axis, the direction passing through the original point and from south to north is taken as the positive direction of a y axis, and the direction passing through the original point and from front to back is taken as the positive direction of a z axis, so that a space rectangular coordinate system is constructed; constructing a drainage pipeline model by using a GIS technology, proportionally placing the constructed drainage pipeline model at corresponding positions with actual conditions, obtaining coordinates (x 1, v1, zl) corresponding to the middle point of the cross section corresponding to each position in the drainage pipeline model in a space rectangular coordinate system, obtaining model data of the corresponding drainage pipeline according to (x 1, v1, z 1), marking the model data corresponding to (x 1, v1, z 1) as (x 1, v1, z 1), obtaining the model data of each drainage pipeline coordinate in the space rectangular coordinate system, and obtaining a 3D model of the drainage pipeline; the data acquisition module respectively acquires data monitored by sensors at different positions at the same time, stores the sensor data acquired by the same sensor at different times in the same set according to the time sequence, and refers the set and the model position data corresponding to the sensor position.
11. According to the technical scheme, in the step S3, the abnormality identification analysis firstly measures the average value and the standard deviation after acquiring the water level height, the water flow speed and the water pressure value within a fixed time period, and then checks whether the data is abnormal through an algorithm, wherein the specific algorithm check is as follows:
wherein x is d Is the measured value to be checked,
is a measure of the mean value, S n Is the standard deviation when F is greater than a critical value F of the significance level alpha α When x is greater than x d Determining abnormal value when F is less than critical value F of significance level alpha α When x is greater than d It is determined as a non-abnormal value.
Compared with the prior art, the invention has the following beneficial effects:
1. the water environment informatization treatment system can monitor the change of the water level in real time. The water level change may be caused by various conditions, such as rainfall analysis including the amount of rainfall, the intensity of rainfall. Therefore, the possible situations can be judged in advance according to the rainfall amount, analysis and adjustment can be better performed through background data, and the situations that drainage pipelines are blocked and overflow frequently caused by a large amount of surface water due to heavy rainstorm in a rainy season are prevented.
2. The water environment information treatment system and method can further prevent and analyze the occurrence of blockage and overflow of a drainage pipeline of a sewage treatment plant by utilizing a GIS technology, find abnormal rising of the water level before sewage or rainwater overflows to the ground surface, further determine whether pipe network blockage occurs or not, and judge the position of the blockage, thereby timely informing staff of dredging operation.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a module composition of an analysis system based on water environment information-based treatment;
FIG. 2 is a schematic step diagram of an analysis method based on water environment information governance.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention will be further described with reference to fig. 1-2 and the specific embodiments.
The first embodiment is as follows:
as shown in fig. 1, the present embodiment provides an analysis system based on water environment information-based remediation, where the system includes: the system comprises a data acquisition module, a data processing module, a model construction module, an abnormality identification module and an alarm module;
the data acquisition module is used for monitoring the water level data of the pipeline in real time and acquiring data;
the data processing module is used for storing and processing the data monitored in the data acquisition module and determining a monitoring parameter value;
the model building module builds a visual model for the data monitored and collected by the data collection module in real time by using a GIS technology;
the anomaly identification module identifies the pipeline water level data anomaly through anomaly identification analysis;
the alarm module is used for responding to the abnormal monitoring data and sending alarm information;
the output end of the data acquisition module is connected with the input end of the data processing module; the output end of the data processing module is connected with the input end of the model building module; the output end of the model building module is connected with the input end of the abnormity identification module; the output end of the abnormity identification module is connected with the input end of the alarm module.
The data acquisition module comprises a real-time monitoring unit and a water level data acquisition unit;
the real-time monitoring unit is used for monitoring the water level of a drainage pipeline of a sewage treatment plant in real time through a sensor, converting the sensed change of the water level into an electric signal and transmitting the electric signal to the water level data acquisition unit;
the water level data unit is used for receiving the electric signal information of the sensor and collecting water level data;
the output end of the sensor is connected with the input end of the data acquisition module; the data acquisition module is connected with the input end of the data processing module.
The data processing module comprises a data synchronous storage unit and a parameter data management unit;
the synchronous storage unit is used for receiving water level data information in a water level data acquisition unit of the data acquisition module;
the parameter data management unit is used for classifying the parameter data acquired in the data acquisition module in real time;
the output end of the data acquisition module is connected with the input end of the data processing module; the output end of the data processing module is connected with the input end of the model building module.
The model building module comprises a building unit and a data extraction unit;
the construction unit is used for constructing a visual model for the data monitored and collected by the data collection module in real time by utilizing the GIS technology;
the data extraction unit is used for extracting the classified data in the parameter data management unit, and is combined with the constructed visual model to provide a data basis for the visual model;
the output end of the data processing module is connected with the input end of the model building module; the output end of the model building module is connected with the input end of the abnormity identification module.
The abnormality recognition module compares historical data of drainage pipeline water level data of the sewage treatment plant acquired by the data acquisition module in real time, and performs abnormality recognition analysis recognition on the water level data acquired in real time;
the output end of the model building module is connected with the input end of the abnormity identification module; the output end of the abnormity identification module is connected with the input end of the alarm.
The alarm module is connected with the abnormity identification module, and responds to the abnormity monitoring data in the abnormity processing module through an alarm to send alarm information;
the output end of the abnormity identification module is connected with the input end of the alarm module.
Example two:
as shown in fig. 2, the present embodiment provides an analysis method based on water environment information-based treatment, which is implemented based on an analysis system of water environment information-based treatment in the embodiment, and specifically includes the following steps:
s1: real-time water level information is obtained through monitoring of the water level of the drainage pipeline by the sensors, information recording is carried out according to the water level change of each hour, 3 sensors in different positions are counted, different water level information can be collected by the sensors in different positions in the same time period, and the sensor sequence is recorded as { S } respectively 1 ，S 2 ，S 3 }，E.g. at eight points sensor S 1 The water level information obtained by monitoring is recorded as S 1 ＝{T (8:00) 2m,25m/S,1Mp }, wherein S is 1 Sensor, T, number 1 in the drainage pipe (8:00) Time points representing monitoring of 8, 00,2m represent sensor S 1 The monitored water level of the drainage pipeline is 25m/S, which represents the sensor S 1 Monitored water discharge pipe water flow rate, 1Mp representing sensor S 1 The monitored water pressure value is, similarly, measured at the eight-point sensor S 2 The water level information obtained by monitoring is recorded as S 2 ＝{T (8:00) 2.3m,27m/S,1.2Mp } at eight points sensor S 3 The water level information obtained by monitoring is recorded as S 3 ＝{T (8:00) ，1.6m，23m/s，1Mp}。
S2: constructing a visual model for the data acquired by the data acquisition module through real-time monitoring by utilizing a GIS technology, and constructing a space rectangular coordinate system by taking the lowest point of the cross section of the pipeline as an original point, the direction passing through the original point and from east to west as the positive direction of an x axis, the direction passing through the original point and from south to north as the positive direction of a y axis and the direction passing through the original point and from front to back as the positive direction of a z axis; constructing a drainage pipeline model by using a GIS technology, proportionally placing the constructed drainage pipeline model and an actual situation at corresponding positions, obtaining coordinates (34, 21 and 55) corresponding to the middle points of the cross sections corresponding to the positions in the drainage pipeline model in a space rectangular coordinate system, obtaining model data of the corresponding drainage pipeline according to the coordinates (34, 24 and 55), recording the model data corresponding to the positions (34, 21 and 55) as the model data (34, 21 and 55) of each drainage pipeline coordinate in the space rectangular coordinate system, and obtaining a 3D model of the drainage pipeline; the data acquisition module respectively acquires data monitored by sensors at different positions at the same time, stores the sensor data acquired by the same sensor at different times in the same set according to the time sequence, and refers the set and the model position data corresponding to the sensor position.
S3: the method comprises the following steps of identifying the water level data abnormality of the pipeline through abnormality identification analysis, firstly, measuring the average value and the standard deviation after acquiring the water level height, the water flow speed and the water pressure value within a fixed period of time, and then, checking whether the data are abnormal through an algorithm, wherein the specific algorithm check comprises the following steps:
wherein x is d Is the measured value to be checked,
is a measure of the mean value, S n Is the standard deviation when F is greater than a critical value F of the significance level alpha α When x is greater than x d Determining abnormal value when F is less than critical value F of significance level alpha α When x is greater than x d It is determined as a non-abnormal value. Taking the above numerical values as examples, the numerical value obtained at the same time point is S 1 ＝{T (8:00) ，2m，25m/s，1Mp}，S 2 ＝{T (8:00) ，2.3m，27m/s，1.2Mp}，S 3 = T (8
The water flow rate is determined as
Measured under water pressure of average value of
According to historical data, the standard deviation is 0.05, and the water level critical value F α Is 6, S can be obtained according to the formula 1 Is 0, so S 1 The water level of (2) is not abnormal; calculated in the same way to obtain S 2 Has a water level abnormal value of 6,6 equal to 6, i.e., S 2 The water level of (2) is not abnormal; s 3 Is 8,8 is greater than 6, i.e. S 3 The water level of (2) is abnormal. The water flow speed critical value F is obtained at the same time 8 α Is 50, S can be obtained according to the formula 1 Has an abnormal value of 40, so S 1 Water of (2)Flow velocity is non-abnormal; calculated in the same way, S 2 Has an abnormal value of 80, 80 is more than 50, that is, S 2 The water flow speed of the water pump is abnormal; s 3 Has a water flow velocity abnormal value of 0,0 is less than 50, namely S 3 There is no abnormality in the water flow rate. Water pressure threshold value F obtained at the same time 8 α Is 5, S can be obtained according to the formula 1 Is 0, so S 1 The water pressure of (2) is not abnormal; calculated in the same way to obtain S 2 Has a hydraulic pressure abnormal value of 4,4 to less than 5, i.e. S 2 The water pressure of the water pump is not abnormal; s 3 Has a hydraulic abnormal value of 0,0 less than 5, i.e., S 3 There was no abnormality in the water flow rate.
And S4, making an instant response to the abnormal monitoring data and sending alarm information.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The analysis system based on water environment information-based remediation according to claim 1, wherein the analysis system comprises: the system comprises: the system comprises a data acquisition module, a data processing module, a model construction module, an abnormality identification module and an alarm module;
the data acquisition module is used for monitoring pipeline water level data in real time and acquiring data;
the data processing module is used for storing and processing the data monitored in the data acquisition module and determining a monitoring parameter value;
the model construction module utilizes a GIS technology to construct a visual model for the data monitored and collected by the data collection module in real time;
the anomaly identification module identifies the pipeline water level data anomaly through anomaly identification analysis;
the alarm module is used for responding to abnormal monitoring data and sending alarm information;
the output end of the data acquisition module is connected with the input end of the data processing module; the output end of the data processing module is connected with the input end of the model building module; the output end of the model building module is connected with the input end of the abnormity identification module; and the output end of the abnormity identification module is connected with the input end of the alarm module.
2. The analysis system based on aquatic environment informatization treatment according to claim 1, characterized in that: the data acquisition module comprises a real-time monitoring unit and a water level data acquisition unit;
the real-time monitoring unit is used for monitoring the water level of a drainage pipeline of a sewage treatment plant in real time through a sensor, converting the sensed change of the water level into an electric signal and transmitting the electric signal to the water level data acquisition unit;
the water level data unit is used for receiving the electric signal information of the sensor and collecting water level data.
3. The analysis system based on aquatic environment informatization treatment according to claim 2, characterized in that: the data processing module comprises a data synchronous storage unit and a parameter data management unit;
the synchronous storage unit is used for receiving water level data information in a water level data acquisition unit of the data acquisition module;
the parameter data management unit is used for carrying out real-time classification processing on the parameter data acquired in the data acquisition module.
4. The analysis system based on aquatic environment informatization treatment according to claim 2, characterized in that: the model building module comprises a building unit and a data extraction unit;
the construction unit is used for constructing a visual model for the data monitored and collected by the data collection module in real time by utilizing a GIS technology;
the data extraction unit is used for extracting the classification data in the parameter data management unit, and is combined with the constructed visualization model to provide a data base for the visualization model.
5. The analysis system based on aquatic environment informatization treatment according to claim 2, characterized in that: the abnormity identification module compares historical data of drainage pipeline water level data of the sewage treatment plant acquired by the data acquisition module in real time, and performs abnormity identification analysis and identification on the water level data acquired in real time.
6. The analysis system based on aquatic environment informatization treatment according to claim 2, characterized in that: the alarm module is connected with the abnormity identification module, and responds to the abnormity monitoring data in the abnormity processing module through an alarm to send alarm information.
7. An analysis method based on water environment information treatment is characterized in that: the method comprises the following steps:
s1, monitoring the water level of a drainage pipeline through a sensor, acquiring real-time water level information, and synchronously acquiring the monitored water level information;
s2, constructing a visual model for the data monitored and collected in real time by the data collection module by utilizing a GIS technology;
s3, identifying the pipeline water level data abnormity through abnormity identification and analysis;
and S4, responding to the abnormal monitoring data and sending alarm information.
8. The analysis method based on water environment information-based treatment according to claim 7, characterized in that: in the step S1, real-time water level information is acquired by monitoring the water level of the drainage pipeline through sensors, information recording is carried out according to the water level change of each fixed time period, m sensors at different positions are counted, different water level information can be acquired by the sensors at different positions in the same time period, and the sensor sequence is respectively recorded as { S } 1 ，S 2 ，S 3 ，S 4 ，S 5 ，…，S m Recording water level information obtained by monitoring by a sensor as S 1 ＝{T (time points) ，H 1 ，V 1 ，P 1 In which S is 1 Sensor, T, number 1 in the drainage pipe (time points) Indicating a certain point in time of monitoring, H 1 Indicating the sensor S 1 Monitored water level height of drainage pipeline, V 1 Indicating the sensor S 1 Monitored water discharge pipeline water flow velocity, P 1 Indicating the sensor S 1 The monitored water pressure value.
9. The analysis method based on water environment informatization treatment according to claim 7, characterized in that: in step S2, a visual model is constructed by using a GIS technique on data collected by the data collection module in real time, a spatial rectangular coordinate system is constructed by using the lowest point of the cross section of the pipeline as an origin, the direction passing through the origin and from east to west as the positive direction of an x-axis, the direction passing through the origin and from south to north as the positive direction of a y-axis, and the direction passing through the origin and from front to back as the positive direction of a z-axis, a drainage pipeline model is constructed by using the GIS technique, the constructed drainage pipeline model is placed at corresponding positions in equal proportion to the actual situation, coordinates (x 1, v1, zl) corresponding to the midpoint of the cross section at each position in the drainage pipeline model in the spatial rectangular coordinate system are obtained, model data of corresponding drainage pipelines are obtained according to (x 1, v1, z 1), model data corresponding to (x 1, v1, z 1) are recorded as (x 1, v1, z 1) model data of each drainage pipeline coordinate in the spatial rectangular coordinate system, a 3D model is obtained, the data collection of the sensors at different positions at the same time are stored in the same time, and the data collection of the sensors is added to the data of the corresponding sensors, and the data of the sensors are collected.
10. The analysis method based on water environment informatization treatment according to claim 7, characterized in that: in step S3, the anomaly identification analysis firstly obtains the water level height, the water flow rate and the water pressure value within a fixed time period, then measures the average value and the standard deviation, and then checks whether the data is abnormal through an algorithm, wherein the specific algorithm check is as follows:
wherein x is d Is the measured value to be checked,
is a measure of the mean value, S n Is the standard deviation when F is greater than a critical value F of the significance level alpha α When x is greater than x d Determining abnormal value when F is less than or equal to critical value F of significance level alpha α When x is greater than x d It is determined as a non-abnormal value.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116189023A (en) * | 2023-04-28 | 2023-05-30 | 成都市环境应急指挥保障中心 | Method and system for realizing environment emergency monitoring based on unmanned aerial vehicle |
| CN116754013A (en) * | 2023-06-16 | 2023-09-15 | 海丰县绿色部落生态农业有限公司 | Wild tea planting environment monitoring system based on data analysis |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116189023A (en) * | 2023-04-28 | 2023-05-30 | 成都市环境应急指挥保障中心 | Method and system for realizing environment emergency monitoring based on unmanned aerial vehicle |
| CN116189023B (en) * | 2023-04-28 | 2023-07-11 | 成都市环境应急指挥保障中心 | Method and system for realizing environment emergency monitoring based on unmanned aerial vehicle |
| CN116754013A (en) * | 2023-06-16 | 2023-09-15 | 海丰县绿色部落生态农业有限公司 | Wild tea planting environment monitoring system based on data analysis |
| CN116754013B (en) * | 2023-06-16 | 2024-01-05 | 海丰县绿色部落生态农业有限公司 | Wild tea planting environment monitoring system based on data analysis |
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