CN114518143A - Intelligent environment sensing system - Google Patents
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Abstract
The invention provides an intelligent environment sensing system, and belongs to the technical field of environment detection. The system comprises a background control center and a plurality of monitoring nodes, wherein each monitoring node is connected and communicated with the background control center through a wireless network, and each monitoring node comprises a processor module, an environment detection module, a data storage module and a communication module; the environment detection module is used for acquiring environment data around the monitoring node and sending the environment data to the processor module, the processor module is used for sending the environment data to the background control center through the communication module, and the data management unit is used for managing the environment data acquired by the environment detection module and performing data storage and exchange management; the background control center is used for monitoring and analyzing the received environmental data information in real time and taking corresponding measures according to the analysis result. The system can carry out systematization and visual supervision on each environment monitoring node in real time, such as environment assessment, prediction, feedback control and the like.
Description
Technical Field
The invention belongs to the technical field of environment monitoring, and particularly relates to an intelligent environment sensing system.
Background
At present, along with concentrated operation of factories and agriculture or intensive living and living of people, more and more waste water is generated, but because excessive harmful substances exist in the waste water, the factory, the agriculture and living areas are not uniformly monitored in real time at present, so that the discharge of the waste water containing the harmful substances is not monitored and controlled, and the waste water cannot be purified in time, thereby causing certain pollution to the environment.
In order to protect and improve the environmental water body and reduce the water pollution harm and the loss caused by the water pollution harm to the maximum extent, the method needs to increase the treatment intensity of pollution sources, strengthen the legal method and administrative supervision and management, and also needs to adopt scientific and technological means to strengthen the acquisition and comprehensive analysis of the environmental water body information. Environmental management is complex and dynamic, involving multiple departments, regions, and fields, requiring processing of large amounts of information. With the increasingly prominent environmental problems, the traditional management mode cannot meet the requirements of environmental management work on information processing, and an environment manager needs to dynamically master resource and environment information in real time and comprehensively and continuously acquire change information, so that the environmental information and the change information related to development are monitored dynamically in real time, and the information required by sustainable development is provided.
Disclosure of Invention
In view of this, the present invention provides an intelligent environmental awareness system to realize systematic management of environmental monitoring, evaluation, recording, and the like, and provide decision-making key information for decision makers.
The purpose of the invention can be realized by the following technical scheme: an intelligent environment sensing system is characterized by comprising a background control center and a plurality of monitoring nodes, wherein each monitoring node is connected and communicated with the background control center through a wireless network, and each monitoring node comprises a processor module, an environment detection module, a data storage module and a communication module which are connected with the processor module; the environment detection module is used for acquiring environment data around the monitoring node and sending the environment data to the processor module, the processor module is used for sending the environment data to the background control center through the communication module, and the data management unit is used for managing the environment data acquired by the environment detection module and performing data storage and exchange management; and the background control center is used for monitoring and analyzing the received environmental data information in real time and taking corresponding measures according to the analysis result.
In the above intelligent environment sensing system, the environment detection module includes an illumination detection unit, a hydrological detection unit, an atmospheric detection unit, and a soil detection unit; the illumination detection unit is used for collecting light environment information of the position where the monitoring node is located; the hydrological detection unit is used for acquiring at least one of information of pH value of water body, conventional water quality index, metal content, chromaticity, turbidity, microorganism content, radiant quantity, water level, flow and flow rate of water body around the monitoring node; the atmosphere detection unit is used for acquiring at least one of information of an air pressure value, a temperature value, a humidity value, a PM2.5 value and various oxide gas content values of the air around the monitoring node; the soil detection unit is used for acquiring and monitoring at least one of nutrient content, moisture content, hardness value and soil pH value of soil around the node.
In the above-mentioned intelligent environmental perception system, the processor module may further perform preprocessing on the environmental data before transmitting the environmental data, where the preprocessing includes denoising, clustering, and anomaly detection.
In the above intelligent environment sensing system, the monitoring node further includes an image acquisition module, the image acquisition module is connected to the processor module, and the image acquisition module is configured to acquire environmental image data around the monitoring node.
In the above intelligent environment sensing system, the image acquisition module is a 360-degree panoramic camera.
In the above intelligent environment sensing system, the monitoring node further includes a GPS positioning module connected to the processor module, and the GPS positioning module is configured to position the monitoring node so as to facilitate a background control center to know the geographical location of the monitoring node in real time.
In the above intelligent environment sensing system, the background control center comprises a human-computer interaction module, a control host and a database server; the human-computer interaction module is used for a decision maker or a monitoring person to know the environmental condition of each monitoring node and issue a control instruction or decision; the control host is used for analyzing and processing the data received from each monitoring node to obtain the environmental data corresponding to each monitoring node, comparing the environmental data, evaluating and identifying the result to determine the pollution degree, displaying the evaluation and identification results of each monitoring node in a man-machine interaction module in a list mode, analyzing the toxicity of the data of each monitoring node, generating a bar graph or a table according to actual requirements, and giving an alarm in the man-machine interaction module when the toxicity exceeds a preset threshold; and the database server is used for storing and backing up the environment data of each monitoring node received and processed by the control host so as to facilitate the downloading, reading and tracking of the environment data by monitoring personnel.
In the above intelligent environment sensing system, the control host includes a self-learning module, and the self-learning module is configured to perform learning training according to historical environment data and calculate an environment change trend of a corresponding monitoring node in the future according to the historical environment data of each monitoring node.
In the above intelligent environment sensing system, the human-computer interaction module includes a display screen and an instruction input device, the display screen includes at least one of a touch screen, a projection screen or a large LED screen, and the instruction input device includes a keyboard or a microphone.
The intelligent environment sensing system further comprises a mobile control terminal, wherein the mobile control terminal is respectively connected with each monitoring node and the background control center through a wireless network, and the mobile terminal is used for receiving a control instruction or decision of the background control center so that a user can take corresponding control measures for the corresponding monitoring nodes.
Compared with the prior art, the intelligent environment perception system has the following advantages: the system realizes real-time monitoring of the surrounding environment of each monitoring node, realizes systematic management of environment perception, environment pollution range evaluation, evaluation and identification data, display data, pollution detection data report establishment, backup, feedback control and the like, can acquire the environment data of the target node in real time, executes intelligent and visual supervision, and solves the technical problem that the current data acquisition development does not have universality and high efficiency.
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FIG. 1 is a schematic diagram of an intelligent context awareness system of an embodiment of the present invention.
In the figure, 100, a background control center; 110. a human-computer interaction module; 111. a display screen; 112. an instruction input device; 120. a control host; 121. a self-learning module; 130. a database server; 200. monitoring the nodes; 210. a processor module; 220. an environment detection module; 230. a data storage module; 240. a communication module; 250. an image acquisition module; 260. a GPS positioning module; 300. and moving the control terminal.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
In the description of the present invention, it is to be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships illustrated in the drawings, and are used merely for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
Referring to fig. 1, the present application provides an embodiment of an intelligent environmental awareness system, where the system includes a background control center 100 and a plurality of monitoring nodes 200, each monitoring node 200 is connected to and communicates with the background control center 100 through a wireless network, each monitoring node 200 includes a processor module 210, and an environmental detection module 220, a data storage module 230, and a communication module 240 connected to the processor module 210; the environment detection module 220 is used for collecting environment data around the monitoring node 200 and sending the environment data to the processor module 210, the processor module 210 is used for sending the environment data to the background control center 100 through the communication module 240, and the data management unit is used for managing the environment data collected by the environment detection module 220 and performing data storage and exchange management; the background control center 100 is configured to monitor and analyze the received environmental data information in real time, and take a countermeasure according to an analysis result. According to the invention, a plurality of monitoring nodes 200 are communicated with the background control center 100 through a wireless network to establish an environment sensing network, so that environment monitoring partition networking, real-time remote monitoring, systematic and visual supervision of evaluation, prediction, backup, feedback control and the like of environment data are realized, and the universality and the efficiency of environment sensing are improved.
Specifically, the environment detection module 220 includes an illuminance detection unit, a hydrological detection unit, an atmospheric detection unit, and a soil detection unit.
The illumination detection unit is used for collecting light environment information of the position where the monitoring node 200 is located, and can effectively distinguish illumination conditions of the environment where the data is collected, such as the ambient illumination intensity under different conditions of day, night, sunny day, cloudy day and the like.
The hydrological detection unit is used for acquiring various parameters of the water around the monitoring node 200, and acquiring various information of the water, such as pH value, conventional water quality indexes, metal content, chromaticity, turbidity, microorganism content, radiant quantity, water level, flow rate and the like. Hydrological detection can realize the detection of the pollution degree of the water quality of the water body near the monitoring node 200 and determine the pollution level of the water body.
The atmosphere detection unit is used for collecting various parameters of air around the monitoring node 200, and it should be understood that information such as an air pressure value, a temperature value, a humidity value, a PM2.5 value, and various oxide gas content values of an area around the monitoring node 200 can be collected through a series of sensors.
The soil detection unit is used for collecting various parameters of soil around the monitoring node 200, and specifically, the method may include collecting and analyzing information such as nutrient content, moisture content, hardness value, soil acidity and alkalinity in the soil by using a series of sensors.
The processor module 210 also pre-processes the environmental data before sending the environmental data, where the pre-processing includes denoising, clustering, and anomaly detection. The neural network model is adopted to preprocess the acquired data skill type, the network weight can be adjusted in the neural network according to the network frame setting, and the network weight or the training parameters are subjected to self-adaptive updating training, so that the preprocessing model with strong universality can be obtained, the sampled data is subjected to denoising processing, and the environmental data can be processed based on the principle of a Kalman filter in the denoising process. The method has the advantages of low requirements on the sampled data, good obtained effect and various data forms and sources of the sampled data. The clustering adopts absolute distance to measure the difference between two pieces of environment parameter data, such as Euclidean distance, Manhattan distance and the like, that is, the greater the distance between the two pieces of environment parameter data is, the smaller the similarity between the two pieces of environment parameter data is, otherwise, the greater the similarity is. After finishing clustering, the environmental parameter data also needs to be subjected to anomaly detection processing, which specifically comprises the following steps: 1. if the number of the environmental parameter data of one cluster is lower than the set lower number limit after clustering, the cluster is regarded as an abnormal cluster, and the average value of the environmental parameter data in the abnormal cluster is obtained; 2. calculating the similar distance between the cluster center points of other normal clusters and the cluster center point of the abnormal cluster; 3. and if the similarity distance between the cluster center point of the normal cluster and the cluster center point of the abnormal cluster is not greater than the set cluster similarity distance threshold, taking the normal cluster as a cluster to be detected, detecting the environmental parameter data in the cluster to be detected by using the average value, and when the absolute value of the difference between the environmental parameter data in the cluster to be detected and the average value data is less than the abnormal detection threshold, taking the environmental parameter data as abnormal environmental parameter data.
Preferably, the monitoring node 200 further includes an image capturing module 250, the image capturing module 250 is connected to the processor module 210, and the image capturing module 250 is configured to capture image data of an environment surrounding the monitoring node 200. In particular, a 360-degree panoramic camera is adopted as the image acquisition module 250, so that the image acquisition range is increased, full-angle image acquisition is realized, and visual acquisition of the surrounding environment of the monitoring node 200 is increased.
Preferably, the monitoring node 200 is further provided with a GPS positioning module 260 connected to the processor module 210, and the monitoring node 200 is positioned by the GPS positioning module 260, so that the background control center 100 can know the geographic location of the monitoring node 200 in real time. In order to improve the accuracy of the environmental perception of the monitoring node 200 in combination with local meteorological conditions.
The background control center 100 comprises a human-computer interaction module 110, a control host 120 and a database server 130; the human-computer interaction module 110 is used for a decision maker or a monitoring person to know the environmental conditions of each monitoring node 200 and issue a control instruction or a decision; the control host 120 is used for analyzing and processing the data received from each monitoring node 200 to obtain the environmental data corresponding to each monitoring node 200, comparing the data, evaluating and identifying the result to determine the pollution degree, displaying the evaluation and identification result of each monitoring node 200 in the man-machine interaction module 110 in a list, analyzing the toxicity of the data of each monitoring node 200, generating a bar graph or a table according to the actual requirement, and giving an alarm at the man-machine interaction module 110 when the toxicity exceeds a preset threshold; the database server 130 is used for storing and backing up the environment data of each monitoring node 200 received and processed by the control host 120, so that the monitoring personnel can download, read and track the environment data.
Further, the control host 120 includes a self-learning module 121, where the self-learning module 121 is configured to perform learning training according to historical environmental data, and calculate an environmental change trend of a corresponding monitoring node 200 in the future according to the historical environmental data of each monitoring node 200. The self-learning module 121 is based on a Keras learning framework, uses an LSTM network related module in the Keras learning framework, and sets the input dimension of the LSTM and the time step length of input data; LSTM input data reads batch size and window length LSTM model optimizer and learning rate; counting the number of the cryptomelanic ganglia; the number of model iterations; and continuously adjusting parameters, checking the convergence degree of the model according to the model loss, and preferentially selecting high-convergence parameters to form an indoor environment prediction model based on the LSTM.
The human-computer interaction module 110 includes a display screen 111 and an instruction input device 112. It should be understood that the display screen 111 may be a touch screen, a projection screen, or a large LED screen, and the command input device 112 includes a keyboard or a microphone. The instruction input mode is convenient and efficient by inputting the instruction through a keyboard or realizing the voice input instruction through a microphone. Through human-computer interaction, a user can know detailed information in a main interface of the system, wherein the information about display data can be known in the main interface, the user can click the display data in the main interface to want to know the detailed information, the user can automatically jump to the following interface after clicking, and the user can view, edit and download the detailed information in the following interface.
Optionally, the intelligent environment sensing system according to the embodiment of the present invention further includes a mobile control terminal 300, where the mobile control terminal 300 is connected to each monitoring node 200 and the background control center 100 through a wireless network, and the mobile terminal is configured to receive a control instruction or decision from the background control center 100, so that a user can take a corresponding control measure for a corresponding monitoring node 200.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made to the described embodiments, or alternatives may be employed, by those skilled in the art, without departing from the spirit or ambit of the invention as defined in the appended claims.
Claims (10)
1. An intelligent environment sensing system is characterized by comprising a background control center (100) and a plurality of monitoring nodes (200), wherein each monitoring node (200) is connected and communicated with the background control center (100) through a wireless network, each monitoring node (200) comprises a processor module (210), and an environment detection module (220), a data storage module (230) and a communication module (240) which are connected with the processor module (210); the environment detection module (220) is used for collecting environment data around the monitoring node (200) and sending the environment data to the processor module (210), the processor module (210) is used for sending the environment data to the background control center (100) through the communication module (240), and the data management unit is used for managing the environment data collected by the environment detection module (220) and performing data storage and exchange management; the background control center (100) is used for monitoring and analyzing the received environmental data information in real time and taking corresponding measures according to the analysis result.
2. The intelligent environment sensing system according to claim 1, wherein the environment detection module (220) comprises an illuminance detection unit, a hydrological detection unit, an atmospheric detection unit and a soil detection unit; the illumination detection unit is used for collecting light environment information of the position where the monitoring node (200) is located; the hydrological detection unit is used for acquiring at least one of information of water body pH value, conventional water quality index, various metal contents, chromaticity, turbidity, microorganism content, radiant quantity, water level, flow and flow rate of the water body around the monitoring node (200); the atmosphere detection unit is used for acquiring at least one of information of an air pressure value, a temperature value, a humidity value, a PM2.5 value and various oxide gas content values of the air around the monitoring node (200); the soil detection unit is used for collecting at least one of the information of nutrient content, moisture content, hardness value and soil pH value of soil around the monitoring node (200).
3. The smart context awareness system of claim 1 or 2, wherein the processor module (210) further preprocesses the context data prior to sending the context data, the preprocessing including denoising, clustering, anomaly detection.
4. The intelligent environment awareness system according to claim 1 or 2, wherein the monitoring node (200) further comprises an image acquisition module (250), the image acquisition module (250) being connected to the processor module (210), the image acquisition module (250) being configured to acquire image data of the environment surrounding the monitoring node (200).
5. The intelligent context aware system of claim 4, wherein the image capture module (250) is a 360-degree panoramic camera.
6. The intelligent environment sensing system according to claim 1 or 2, wherein the monitoring node (200) further comprises a GPS positioning module (260) connected to the processor module (210), and the GPS positioning module (260) is configured to position the monitoring node (200) so as to facilitate the background control center (100) to know the geographical location of the monitoring node (200) in real time.
7. The intelligent environment sensing system according to claim 1 or 2, wherein the background control center (100) comprises a human-computer interaction module (110), a control host (120) and a database server (130); the human-computer interaction module (110) is used for a decision maker or a monitoring person to know the environmental condition of each monitoring node (200) and issue a control instruction or a decision; the control host (120) is used for analyzing and processing the data received from each monitoring node (200) to obtain the environmental data corresponding to each monitoring node (200), comparing the data, evaluating and identifying the results to determine the pollution degree, displaying the evaluation and identification results of each monitoring node (200) in the man-machine interaction module (110) in a list, analyzing the toxicity of the data of each monitoring node (200), generating a bar graph or a table according to the actual requirement, and giving an alarm at the man-machine interaction module (110) when the toxicity exceeds a preset threshold; the database server (130) is used for storing and backing up the environment data of each monitoring node (200) received and processed by the control host (120), so that monitoring personnel can download, read and track the environment data.
8. The intelligent environment sensing system according to claim 7, wherein the control host (120) comprises a self-learning module (121), and the self-learning module (121) is configured to perform learning training according to historical environment data and calculate an environment change trend of each monitoring node (200) in the future according to the historical environment data of each monitoring node (200).
9. The intelligent environment sensing system according to claim 7, wherein the human-computer interaction module (110) comprises a display screen (111) and an instruction input device (112), the display screen (111) comprises at least one of a touch screen, a projection screen or a large LED screen, and the instruction input device (112) comprises a keyboard or a microphone.
10. The intelligent environment sensing system according to claim 1 or 2, further comprising a mobile control terminal (300), wherein the mobile control terminal (300) is connected to each monitoring node (200) and the background control center (100) through a wireless network, and the mobile terminal is configured to receive a control instruction or decision of the background control center (100) so that a user can take corresponding control measures for the corresponding monitoring node (200).
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| 王时龙 等: "中国战略性新兴产业研究与发展 智慧工业", 31 December 2021, 机械工业出版社, pages: 158 * |
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| CN114689129A (en) * | 2022-05-31 | 2022-07-01 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Underground space environment monitoring system and method |
| CN114689129B (en) * | 2022-05-31 | 2022-08-09 | 山东省地质矿产勘查开发局八〇一水文地质工程地质大队(山东省地矿工程勘察院) | Underground space environment monitoring system and method |
| CN115174548A (en) * | 2022-06-24 | 2022-10-11 | 北京中实国金国际实验室能力验证研究有限公司 | Real-time monitoring and management system of sample storage environment for laboratory test and detection |
| CN115394067A (en) * | 2022-10-28 | 2022-11-25 | 山东嘉源检测技术股份有限公司 | Water environment data early warning system |
| CN116883755A (en) * | 2023-07-20 | 2023-10-13 | 广州新城建筑设计院有限公司 | Rural construction environment monitoring method, system, equipment and storage medium |
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