Industrial park soil pollution monitoring system and method
Through the design of the soil pollution monitoring system of the industrial park, the high -precision sensor and big data analysis technology are used to solve the limitations of traditional monitoring methods, realize the real -time monitoring and accurate analysis of soil pollution, and have early warning functions and support environmental governance.
Patent Information
- Application Number
- CN202411359397.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2025-01-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Traditional soil pollution monitoring methods have problems such as limited monitoring range, long data acquisition cycle and low analysis accuracy, which is difficult to meet the needs of modern environmental protection supervision.
An industrial park soil pollution monitoring system is designed, including monitoring terminals, data collection and processing centers and cloud computing platforms. It uses high-precision sensors and real-time data processing technology, combined with big data analysis technology, to build a pollutant diffusion model and pollution source tracking model. , to achieve real-time monitoring and data analysis.
It achieves comprehensive real-time monitoring of soil pollution conditions in the industrial park, ensures the real-time and accuracy of monitoring data, has early warning and emergency response functions, reduces the operational difficulty and cost of managers, supports real-time data transmission and analysis, and provides Environmental governance provides timely and effective data support.
Smart Images

Figure CN119335161A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of environmental monitoring, and in particular to a soil pollution monitoring system and method for an industrial park. Background Art
[0002] Environmental monitoring refers to the determination of environmental quality (or degree of pollution) and its changing trend through the determination of representative values of factors affecting environmental quality. The main means of environmental monitoring include physical means, chemical means, and biological means. Environmental monitoring is to track changes in environmental quality and determine the level of environmental quality through the detection of the content and emission of various substances that have an impact on humans and the environment, so as to provide a basis and guarantee for environmental management, pollution control and other work. Simply put, understanding the environmental level and conducting environmental monitoring are the prerequisites for carrying out all environmental work. Environmental monitoring usually includes background investigation, determining plans, optimizing locations, on-site sampling, sample transportation, experimental analysis, data collection, analysis and synthesis. In general, it is a process of obtaining information through planning-sampling-analysis-synthesis. Industrial parks are important carriers for the high concentration and development of industrial enterprises. At present, the rapid development of industrial parks has brought certain pressures to the environment, including soil pollution and other problems. Some industrial parks were originally called engines of regional economic development, but now they have become synonymous with collecting filth and dirt. Soil pollution in the parks often causes pollution to the surrounding environment and water resources.
[0003] With the rapid development of industrialization, industrial parks have become an important engine of economic growth, but at the same time they have also brought about environmental problems such as soil pollution. Traditional soil pollution monitoring methods have problems such as limited monitoring range, long data acquisition cycle, and low analysis accuracy, which are difficult to meet the needs of modern environmental protection supervision. Therefore, it is particularly important to develop an industrial park soil pollution monitoring system that can perform real-time monitoring, accurate data analysis, and easy operation. Summary of the invention
[0004] In view of the deficiencies in the prior art, the present invention provides an industrial park soil pollution monitoring system, which solves the problems mentioned in the above background technology.
[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an industrial park soil pollution monitoring system, comprising a monitoring terminal, the output end of the monitoring terminal is connected to the input end of a data acquisition and processing center, and the output end of the data acquisition and processing center is connected to the input end of a cloud computing platform, the output end of the cloud computing platform is connected to the input end of a user terminal, the cloud computing platform comprises a central processing center, the output end of the central processing center is connected to the input end of a pollution source tracking model construction module, and the output end of the central processing center is connected to the input end of a pollutant diffusion model construction module, and the output end of the central processing center is connected to the input end of a pollution value comparison module.
[0006] Preferably, the monitoring terminal includes a heavy metal sensor, an organic matter sensor and a pH sensor.
[0007] Preferably, the central processing center is bidirectionally connected to the data analysis module, and the output end of the pollution value comparison module is connected to the input end of the early warning module.
[0008] Preferably, the data acquisition and processing center includes a data receiving module, the output end of the data receiving module is connected to the input end of the data compression module, and the output end of the data compression module is connected to the input end of the data encryption module.
[0009] Preferably, the output end of the data encryption module is connected to the input end of the central control module, and the output end of the central control module is respectively connected to the input ends of the data classification module and the data preprocessing module, the output end of the data classification module is connected to the input end of the data storage module, and the data preprocessing module includes a data denoising module and a data filtering module.
[0010] The present invention also discloses a method for monitoring soil pollution in an industrial park, which specifically comprises the following steps: S1. Preliminary preparation: Clarify the monitoring objectives and requirements: determine the target pollutants to be monitored, and set the accuracy and frequency requirements for monitoring; formulate a monitoring plan: formulate a detailed monitoring plan based on the monitoring objectives, including the monitoring scope, monitoring point layout, monitoring items, sampling methods, sample processing and preservation, and laboratory analysis methods; prepare instruments and reagents: prepare necessary monitoring instruments and equipment, soil samplers, sensors, data collectors, and purchase or prepare the required chemical reagents and consumables; S2. Monitoring point layout: Information collection and pollution identification: Through data collection, on-site surveys and personnel interviews, understand the distribution of pollution sources, land use conditions and topographic information in the industrial park, and identify potential risk areas and pollutants that may cause soil pollution; Point layout: According to the pollution identification results and monitoring plan, reasonably layout monitoring points in the industrial park. The point layout should follow the principles of representativeness, consistency, comparability, etc. to ensure the accuracy and reliability of the monitoring results; S3, sample collection and processing: (1) Sample collection: In accordance with the requirements of the monitoring plan, soil samples shall be collected using appropriate sampling tools and methods, and sampling records shall be kept, including information such as sampling time, sampling location, and sampling personnel; (2) Sample processing and preservation: The collected soil samples shall be processed as necessary, such as crushing, sieving, and reducing, to meet the requirements of laboratory analysis; the soil samples shall be properly preserved in accordance with the requirements of relevant technical specifications to prevent the samples from deteriorating or being contaminated; S4. Laboratory analysis: (1) Sample pretreatment: In the laboratory, soil samples are further pretreated, digested, and extracted for subsequent analysis; (2) Analysis and determination: Select heavy metal sensors, organic matter sensors and pH sensors to determine the target pollutants in soil samples, strengthen quality control, and ensure the accuracy and reliability of the analysis results through blank tests, parallel sample determination, spike recovery rate and other methods; S5. Data collation and report preparation: Data collation: The data obtained from laboratory analysis is collated. The data compression module and data encryption module ensure the security and efficiency of the data transmission process. The built-in data processing algorithm of the center can pre-process the received raw data. The data denoising module and data filtering module are mainly used to denoise and filter the input data. The data classification module and data storage module are used to realize automatic classification and storage of data, which facilitates the subsequent data analysis. Data analysis: The cloud computing platform uses big data analysis technology to conduct in-depth mining and analysis of the collected soil pollution data. By constructing pollutant diffusion models and pollution source tracking models, the platform can generate visualization results such as pollution distribution maps and trend forecast reports. S6. Early warning and emergency response: When the pollution value comparison module monitors that the soil pollution exceeds the preset threshold, the system will automatically trigger the early warning mechanism and notify the management personnel through SMS, email, etc.
[0011] Beneficial Effects The present invention provides a soil pollution monitoring system for an industrial park. Compared with the prior art, the soil pollution monitoring system for an industrial park has the following beneficial effects: the output end of the monitoring terminal is connected to the input end of the data acquisition and processing center, and the output end of the data acquisition and processing center is connected to the input end of the cloud computing platform, the output end of the cloud computing platform is connected to the input end of the user terminal, the cloud computing platform includes a central processing center, the output end of the central processing center is connected to the input end of the pollution source tracking model construction module, and the output end of the central processing center is connected to the input end of the pollutant diffusion model construction module, and the output end of the central processing center is connected to the input end of the pollution value comparison module, and the layout of multiple monitoring terminals realizes comprehensive monitoring of the soil pollution status in the industrial park, adopts high-precision sensors and real-time data processing technology, ensures the real-time and accuracy of the monitoring data, uses big data analysis technology, deeply mines and analyzes the monitoring data, generates valuable visualization results, has early warning and emergency response functions, can quickly notify managers and start emergency measures when pollution occurs, the system interface is friendly and easy to operate, reduces the difficulty and cost of management personnel, supports real-time data transmission and analysis, and provides timely and effective data support for environmental governance. BRIEF DESCRIPTION OF THE DRAWINGS
[0012] Figure 1 It is a structural principle block diagram of the system of the present invention; Figure 2 It is a structural principle block diagram of the monitoring terminal of the present invention; Figure 3 It is a structural principle block diagram of the data acquisition and processing center of the present invention; Figure 4 This is a block diagram of the structural principles of the cloud computing platform of the present invention.
[0013] In the figure: 1-monitoring terminal, 11-heavy metal sensor, 12-organic matter sensor, 13-PH sensor, 2-data acquisition and processing center, 21-data receiving module, 22-data compression module, 23-data encryption module, 24-central control module, 25-data classification module, 26-data preprocessing module, 261-data denoising module, 262-data filtering module, 27-data storage module, 3-cloud computing platform, 31-central processing center, 32-pollution source tracking model construction module, 33-pollutant diffusion model construction module, 34-pollution value comparison module, 35-data analysis module, 36-early warning module, 4-user terminal. DETAILED DESCRIPTION
[0014] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0015] See also Figure 1-4 The present invention provides a technical solution: an industrial park soil pollution monitoring system, comprising a monitoring terminal 1, the output end of the monitoring terminal 1 is connected to the input end of a data acquisition and processing center 2, and the output end of the data acquisition and processing center 2 is connected to the input end of a cloud computing platform 3, the output end of the cloud computing platform 3 is connected to the input end of a user terminal 4, the cloud computing platform 3 comprises a central processing center 31, the output end of the central processing center 31 is connected to the input end of a pollution source tracking model construction module 32, and the output end of the central processing center 31 is connected to the input end of a pollutant diffusion model construction module 33, and the output end of the central processing center 31 is connected to the input end of a pollution value comparison module 34.
[0016] In the present invention, the monitoring terminal 1 includes a heavy metal sensor 11 , an organic matter sensor 12 and a pH sensor 13 .
[0017] In the present invention, the central processing center 31 and the data analysis module 35 are bidirectionally connected, and the output end of the pollution value comparison module 34 is connected to the input end of the early warning module 36 .
[0018] In the present invention, the data acquisition and processing center 2 includes a data receiving module 21 , the output end of the data receiving module 21 is connected to the input end of the data compression module 22 , and the output end of the data compression module 22 is connected to the input end of the data encryption module 23 .
[0019] In the present invention, the output end of the data encryption module 23 is connected to the input end of the central control module 24, and the output end of the central control module 24 is respectively connected to the input ends of the data classification module 25 and the data preprocessing module 26, the output end of the data classification module 25 is connected to the input end of the data storage module 27, and the data preprocessing module 26 includes a data denoising module 261 and a data filtering module 262.
[0020] The present invention also discloses a method for monitoring soil pollution in an industrial park, which specifically comprises the following steps: S1. Preliminary preparation: Clarify the monitoring objectives and requirements: determine the target pollutants to be monitored, and set the accuracy and frequency requirements for monitoring; formulate a monitoring plan: formulate a detailed monitoring plan based on the monitoring objectives, including the monitoring scope, monitoring point layout, monitoring items, sampling methods, sample processing and preservation, and laboratory analysis methods; prepare instruments and reagents: prepare necessary monitoring instruments and equipment, soil samplers, sensors, data collectors, and purchase or prepare the required chemical reagents and consumables; S2. Monitoring point layout: Information collection and pollution identification: Through data collection, on-site surveys and personnel interviews, understand the distribution of pollution sources, land use conditions and topographic information in the industrial park, and identify potential risk areas and pollutants that may cause soil pollution; Point layout: According to the pollution identification results and monitoring plan, reasonably layout monitoring points in the industrial park. The point layout should follow the principles of representativeness, consistency, comparability, etc. to ensure the accuracy and reliability of the monitoring results; S3, sample collection and processing: (1) Sample collection: In accordance with the requirements of the monitoring plan, soil samples shall be collected using appropriate sampling tools and methods, and sampling records shall be kept, including information such as sampling time, sampling location, and sampling personnel; (2) Sample processing and preservation: The collected soil samples shall be processed as necessary, such as crushing, sieving, and reducing, to meet the requirements of laboratory analysis; the soil samples shall be properly preserved in accordance with the requirements of relevant technical specifications to prevent the samples from deteriorating or being contaminated; S4. Laboratory analysis: (1) Sample pretreatment: In the laboratory, soil samples are further pretreated, digested, and extracted for subsequent analysis; (2) Analysis and determination: Select heavy metal sensor 11, organic matter sensor 12 and pH sensor 13 to determine the target pollutants in the soil sample, strengthen quality control, and ensure the accuracy and reliability of the analysis results through blank test, parallel sample determination, spike recovery rate and other methods; S5. Data collation and report preparation: Data collation: The data obtained from laboratory analysis are collated. The data compression module 22 and the data encryption module 23 ensure the security and efficiency of the data transmission process. The data processing algorithm built into the center can pre-process the received raw data. The data denoising module 261 and the data filtering module 262 are mainly used to denoise and filter the input data. The data classification module 25 and the data storage module 27 are used to realize automatic classification and storage of data, which facilitates subsequent data analysis. Data analysis: The cloud computing platform 3 uses big data analysis technology to conduct in-depth mining and analysis of the collected soil pollution data. By constructing a pollutant diffusion model and a pollution source tracking model, the platform can generate visualization results such as pollution distribution maps and trend forecast reports. S6, early warning and emergency response: When the pollution value comparison module 34 monitors that the soil pollution exceeds the preset threshold, the system will automatically trigger the early warning mechanism and notify the management personnel through SMS, email, etc.
[0021] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.
[0022] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0023] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. An industrial park soil pollution monitoring system, comprising a monitoring terminal (1), characterized in that: The output end of the monitoring terminal (1) is connected to the input end of the data acquisition and processing center (2), and the output end of the data acquisition and processing center (2) is connected to the input end of the cloud computing platform (3), and the output end of the cloud computing platform (3) is connected to the input end of the user terminal (4). The cloud computing platform (3) includes a central processing center (31), and the output end of the central processing center (31) is connected to the input end of the pollution source tracking model construction module (32), and the output end of the central processing center (31) is connected to the input end of the pollutant diffusion model construction module (33), and the output end of the central processing center (31) is connected to the input end of the pollution value comparison module (34).
2. The industrial park soil pollution monitoring system according to claim 1 is characterized by: The monitoring terminal (1) comprises a heavy metal sensor (11), an organic matter sensor (12) and a pH sensor (13).
3. The industrial park soil pollution monitoring system according to claim 1 is characterized by: The central processing center (31) and the data analysis module (35) are bidirectionally connected, and the output end of the pollution value comparison module (34) is connected to the input end of the early warning module (36).
4. The industrial park soil pollution monitoring system according to claim 1 is characterized by: The data acquisition and processing center (2) comprises a data receiving module (21), the output end of the data receiving module (21) is connected to the input end of a data compression module (22), and the output end of the data compression module (22) is connected to the input end of a data encryption module (23).
5. The industrial park soil pollution monitoring system according to claim 4 is characterized by: The output end of the data encryption module (23) is connected to the input end of the central control module (24), and the output end of the central control module (24) is respectively connected to the input ends of the data classification module (25) and the data preprocessing module (26), the output end of the data classification module (25) is connected to the input end of the data storage module (27), and the data preprocessing module (26) includes a data denoising module (261) and a data filtering module (262).
6. An industrial park soil pollution monitoring system according to claims 1-5, characterized in that: The monitoring method specifically includes the following steps: S1. Preliminary preparation: S2. Monitoring point layout: S3. Sample collection and processing: (1) Sample collection: In accordance with the requirements of the monitoring plan, soil samples shall be collected using appropriate sampling tools and methods, and sampling records shall be kept, including information such as sampling time, sampling location, and sampling personnel; (2) Sample processing and preservation: The collected soil samples shall be processed as necessary, such as crushing, sieving, and reducing, to meet the requirements of laboratory analysis; the soil samples shall be properly preserved in accordance with the requirements of relevant technical specifications to prevent the samples from deteriorating or being contaminated; S4. Laboratory analysis: (1) Sample pretreatment: In the laboratory, soil samples are further pretreated, digested, and extracted for subsequent analysis; (2) Analysis and determination: Select heavy metal sensors (11), organic matter sensors (12) and pH sensors (13) to determine the target pollutants in soil samples, strengthen quality control, and ensure the accuracy and reliability of the analysis results through blank tests, parallel sample determinations, spike recovery rates and other methods; S5. Data collation and report preparation: S6. Early warning and emergency response: When the pollution value comparison module (34) detects that the soil pollution exceeds the preset threshold, the system will automatically trigger the early warning mechanism and notify the management personnel through SMS, email, etc.
Citation Information
Patent Citations
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