CN117633723B - Environment monitoring traceability analysis method, system, terminal and medium based on Internet of things - Google Patents
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Abstract
The invention discloses an environment monitoring traceability analysis method, system, terminal and medium based on the Internet of things, which relate to the technical field of environment monitoring and have the technical scheme that: according to the invention, the water quality parameters are detected by arranging the sensors or the instruments at the drainage nodes in the urban wastewater discharge pipeline, the tracing analysis is carried out on the pollution sources according to the water quality parameter increment condition of the drainage nodes at the two ends of the drainage pipe section, the influence of the diversion effect and the dilution effect is considered simultaneously in the tracing analysis of the total tracing parameters of the drainage nodes, and the total tracing parameters of the second drainage nodes are obtained by calculating the sum of the second tracing parameters of the same second drainage node by all different first drainage nodes, so that the pollution sources can be accurately traced in the urban complex pipeline, the early warning can be extracted, and the pollution conditions are prevented from being accumulated in a main runner to cause the occurrence of a large pollution range.
Description
Technical Field
The invention relates to the technical field of environmental monitoring, in particular to an environmental monitoring traceability analysis method, an environmental monitoring traceability analysis system, a terminal and a medium based on the Internet of things.
Background
Water pollution is the reduction or loss of the use value of water due to the fact that water contains a large amount of heavy metals, organic poisons and other harmful chemical substances. The wastewater pollution sources are mainly divided into industrial sources, agricultural sources, urban living sources and a small amount of centralized pollution facility emission sources, wherein the increase of the urban living source sewage emission is a main cause of the increase of the wastewater emission in China.
At present, for water environment pollution monitoring, various sensors are mainly arranged on a main runner (such as a river or a sink point of the river) to detect whether various pollutants exceed a standard value, and when the existence of the pollutants exceeding the standard is detected, the pollutants and detection position information are reported. However, the pollutant is diluted along with the water body flowing after being discharged, and because the wastewater discharge pipeline in the city is complex in distribution and may have a partial diversion state, the pollutant needs to be accumulated in a poor time when reaching an out-of-standard state in a main runner, so that the water pollution condition is diffused in a large range when the water pollution is detected by the existing water environment pollution monitoring method, and the timeliness of monitoring the water environment pollution is poor; in addition, the existing water environment pollution monitoring method cannot accurately trace and position pollution sources due to the influence of factors of complex distribution of wastewater discharge pipelines in cities, so that the subsequent water pollution treatment work difficulty is high.
Therefore, how to research and design an environment monitoring and tracing analysis method, system, terminal and medium based on the Internet of things, which can overcome the defects, is a problem which needs to be solved in the current state.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide an environment monitoring traceability analysis method, an environment monitoring traceability analysis system, a terminal and a medium based on the Internet of things, which are used for carrying out traceability analysis on a pollution source according to the water quality parameter increment condition of drainage nodes at two ends of a drainage pipe section, and simultaneously considering the influence of a diversion effect and a dilution effect in the traceability analysis of the total traceability parameters of the drainage nodes, and calculating the total traceability parameters of the second drainage nodes by the sum of second traceability parameters of the same second drainage node of all different first drainage nodes.
The technical aim of the invention is realized by the following technical scheme:
in a first aspect, an environmental monitoring and traceability analysis method based on the internet of things is provided, which includes the following steps:
Establishing a distribution diagram of drainage nodes in a target area, wherein the drainage nodes are nodes formed by intersecting at least three drainage pipe sections, and each drainage node has at least one drainage direction and at least one drainage direction;
collecting water quality parameters of each drainage node;
determining a first tracing parameter of a first drainage node positioned at the discharge end and a second drainage node positioned at the discharge end according to the difference of water quality parameters of drainage nodes at two ends of the same drainage pipe section;
Determining a decomposition tracing parameter of the first drainage node to the second drainage node according to the total tracing parameter of the first drainage node and the structural parameter of the first drainage node in the distribution diagram;
Determining a second tracing parameter of the first drainage node to the second drainage node by using the sum of the first tracing parameter and the corresponding decomposition tracing parameter;
calculating the sum of the second tracing parameters of the same second drainage node by using all different first drainage nodes to obtain the total tracing parameters of the second drainage nodes;
And screening out the drainage node with the maximum total traceability parameter from all the drainage nodes as a target node, and carrying out traceability early warning when the total traceability parameter of the target node exceeds a pollution parameter threshold.
Further, the total traceability parameter calculation formula of the second drainage node specifically includes:
；
Wherein, Representing the second drainage node/>Is a total traceability parameter of (1); /(I)Representing the second drainage node/>A number of first drainage nodes having a different number; /(I)Representing the first drainage node/>Is a total traceability parameter of (1); /(I)Representing the first drainage node/>For the second drainage node/>By the first drainage node/>A structural parameter in the profile; /(I)Representing the first drainage node/>For the second drainage node/>Is a first trace-out parameter of (a).
Further, the calculation formula of the first traceability parameter specifically includes:
；
Wherein, Representing the first drainage node/>Water quality parameters of (a); /(I)Representing the second drainage node/>Water quality parameters of (a).
Further, the formula for calculating the decomposition coefficient specifically includes:
；
Wherein, Representing the second drainage node/>And the first drainage node/>The drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the second drainage node/>With the first drainage nodeThe drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the first drainage node/>With a different number of second drainage nodes.
Further, the first drainage nodeThe main flow direction of (2) is: with first drainage node/>A drainage direction of a drainage pipe section which corresponds to the drainage end and has the maximum drainage amount;
further, the first drainage node The main flow direction of (2) is: and a second drainage node/>And a first drainage node/>With minimum directional deflection of the drainage pipe sections and with a first drainage node/>As the drainage direction of the drainage pipe section corresponding to the drainage end.
Further, the method further comprises:
screening all drainage nodes with total traceability parameters exceeding pollution parameter thresholds;
determining a traversing area corresponding to a preset radius range by taking the screened drainage nodes as the center;
If the total traceability parameters of the selected drainage nodes in the traversal area are maximum, the selected drainage nodes are considered as area pollution sources, and early warning processing is carried out.
In a second aspect, an environmental monitoring traceability analysis system based on the internet of things is provided, including:
The map construction module is used for establishing a distribution map of drainage nodes in the target area, the drainage nodes are nodes formed by the intersection of at least three drainage pipe sections, and the drainage nodes have at least one drainage direction and at least one drainage direction;
the data acquisition module is used for acquiring water quality parameters of each drainage node;
The traceability analysis module is used for determining a first traceability parameter of a first drainage node positioned at the discharge end and a first traceability parameter of a second drainage node positioned at the discharge end according to the difference of water quality parameters of drainage nodes at two ends of the same drainage pipe section;
the traceability decomposition module is used for determining the decomposition traceability parameter of the first drainage node to the second drainage node according to the total traceability parameter of the first drainage node and the structural parameter of the first drainage node in the distribution diagram;
The parameter summation module is used for determining a second tracing parameter of the first drainage node to the second drainage node according to the sum of the first tracing parameter and the corresponding decomposition tracing parameter;
The tracing superposition module is used for calculating the total tracing parameters of the second drainage nodes by using the sum of the second tracing parameters of all the different first drainage nodes to the same second drainage node;
And the tracing early warning module is used for screening out the drainage node with the largest total tracing parameter from all the drainage nodes as a target node, and carrying out tracing early warning when the total tracing parameter of the target node exceeds the pollution parameter threshold.
In a third aspect, a computer terminal is provided, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the environmental monitoring and tracing analysis method based on the internet of things according to any one of the first aspects when executing the program.
In a fourth aspect, a computer readable medium is provided, on which a computer program is stored, where the computer program is executed by a processor to implement the method for environmental monitoring and tracing analysis based on the internet of things according to any one of the first aspects.
Compared with the prior art, the invention has the following beneficial effects:
1. According to the environmental monitoring traceability analysis method based on the Internet of things, the water quality parameters are detected by arranging the sensors or the instruments at the drainage nodes in the urban wastewater discharge pipeline, the traceability analysis is carried out on the pollution sources according to the water quality parameter increment condition of the drainage nodes at the two ends of the drainage pipe section, the influence of the diversion effect and the dilution effect is considered during the traceability analysis of the total traceability parameters of the drainage nodes, and the total traceability parameters of the second drainage nodes are calculated by the sum of the second traceability parameters of the same second drainage node of all different first drainage nodes, so that the pollution sources can be accurately traced in the urban complex pipeline, the pollution conditions can be extracted for early warning, and the situation that the pollution range is large due to the accumulation of pollutants in a main flow channel is avoided;
2. When the method and the device are used for tracing decomposition, the structural parameters are adaptively distributed for the second drainage nodes according to the direction deflection angle between the drainage pipe sections, so that the decomposition tracing parameters obtained by tracing decomposition are more accurate and reliable;
3. The invention screens the reliability of the pollution sources of the drainage nodes exceeding the threshold value of the pollution parameters in the corresponding traversal region, can realize synchronous early warning of a plurality of pollution sources, and can be suitable for a scene of slow release of a plurality of pollution sources in cities.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the principles of the application. In the drawings:
FIG. 1 is a flow chart in embodiment 1 of the present invention;
FIG. 2 is a partial schematic view of the distribution diagram in example 1 of the present invention;
fig. 3 is a system block diagram in embodiment 2 of the present invention.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention.
Example 1: the environment monitoring traceability analysis method based on the Internet of things, as shown in fig. 1, comprises the following steps:
s1: establishing a distribution diagram of drainage nodes in a target area;
S2: collecting water quality parameters of each drainage node;
s3: determining a first tracing parameter of a first drainage node positioned at the discharge end and a second drainage node positioned at the discharge end according to the difference of water quality parameters of drainage nodes at two ends of the same drainage pipe section;
S4: determining a decomposition tracing parameter of the first drainage node to the second drainage node according to the total tracing parameter of the first drainage node and the structural parameter of the first drainage node in the distribution diagram;
S5: determining a second tracing parameter of the first drainage node to the second drainage node by using the sum of the first tracing parameter and the corresponding decomposition tracing parameter;
s6: calculating the sum of the second tracing parameters of the same second drainage node by using all different first drainage nodes to obtain the total tracing parameters of the second drainage nodes;
S7: and screening out the drainage node with the maximum total traceability parameter from all the drainage nodes as a target node, and carrying out traceability early warning when the total traceability parameter of the target node exceeds a pollution parameter threshold.
The drainage node is a node formed by the intersection of at least three drainage pipe sections, and has at least one drainage direction and at least one drainage direction. For example, one drainage node may have one drainage direction and two drainage directions, and for example, one drainage node may have two drainage directions and two drainage directions.
The water quality parameter may be a detection value, such as a concentration, of only one contaminant. The water quality parameter can also be a detection value of various pollutants, and can be independently analyzed or jointly analyzed during the traceability analysis of the pollution sources of various pollutants, and the method is not limited.
The total traceability parameter calculation formula of the second drainage node specifically comprises:
；
Wherein, Representing the second drainage node/>Is a total traceability parameter of (1); /(I)Representing the second drainage node/>A number of first drainage nodes having a different number; /(I)Representing the first drainage node/>Is a total traceability parameter of (1); /(I)Representing the first drainage node/>For the second drainage node/>By the first drainage node/>A structural parameter in the profile; /(I)Representing the first drainage node/>For the second drainage node/>Is a first trace-out parameter of (a).
In this embodiment, the calculation formula of the first tracing parameter is specifically:
；
Wherein, Representing the first drainage node/>Water quality parameters of (a); /(I)Representing the second drainage node/>Water quality parameters of (a).
As an alternative embodiment, the decomposition coefficients may be distributed evenly according to the number of inflow pipes of one arrangement node.
As another optional implementation manner, in order to make the decomposition tracing parameters obtained by tracing decomposition more accurate and reliable, the calculation formula of the decomposition coefficient is specifically:
；
Wherein, Representing the second drainage node/>And the first drainage node/>The drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the second drainage node/>With the first drainage nodeThe drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the first drainage node/>With a different number of second drainage nodes.
As an alternative embodiment, the first drainage nodeThe main flow direction of (2) is: with first drainage node/>As the drainage direction of the drainage pipe section corresponding to the drainage end and having the largest drainage amount.
As another alternative embodiment, the first drainage nodeThe main flow direction of (2) is: and a second drainage node/>And a first drainage node/>With minimum directional deflection of the drainage pipe sections and with a first drainage node/>As the drainage direction of the drainage pipe section corresponding to the drainage end.
In addition, in order to realize synchronous early warning of a plurality of pollution sources in a scene of slow release of the plurality of pollution sources in the city, the invention further comprises the following steps: screening all drainage nodes with total traceability parameters exceeding pollution parameter thresholds; determining a traversing area corresponding to a preset radius range by taking the screened drainage nodes as the center; if the total traceability parameters of the selected drainage nodes in the traversal area are maximum, the selected drainage nodes are considered as area pollution sources, and early warning processing is carried out.
Taking the partial piping in the distribution diagram as shown in fig. 2 as an example, it is apparent from fig. 2 that the drainage nodesHas two discharge directions: /(I)To/>Direction and/>To/>A direction; while the drainage node/>With two directions of discharge, i.e./>To/>Direction and/>To/>Also has two discharge directions, i.e./>To/>Direction and/>To/>。
If the decomposition coefficients are allocated according to the direction deviation angle, thenTo/>Direction is/>And/>The value of (1) is 2, if/>When the value is 2,/>And/>The deflection angle of the direction corresponding to the drainage pipe section is 0 DEG, and/>And/>The direction deflection angle corresponding to the drainage pipe section is 90 degrees, so the drainage pipe section is a drainage node/>Convection node/>The decomposition coefficients of (2) are as follows:
。
Example 2: the system is used for realizing the environment monitoring and tracing analysis method based on the Internet of things, which is described in the embodiment 1, and comprises a map construction module, a data acquisition module, a tracing analysis module, a tracing decomposition module, a parameter summation module, a tracing superposition module and a tracing early warning module, as shown in fig. 3.
The map construction module is used for establishing a distribution map of drainage nodes in the target area, the drainage nodes are nodes formed by the intersection of at least three drainage pipe sections, and the drainage nodes have at least one drainage direction and at least one drainage direction; the data acquisition module is used for acquiring water quality parameters of each drainage node; the traceability analysis module is used for determining a first traceability parameter of a first drainage node positioned at the discharge end and a first traceability parameter of a second drainage node positioned at the discharge end according to the difference of water quality parameters of drainage nodes at two ends of the same drainage pipe section; the traceability decomposition module is used for determining the decomposition traceability parameter of the first drainage node to the second drainage node according to the total traceability parameter of the first drainage node and the structural parameter of the first drainage node in the distribution diagram; the parameter summation module is used for determining a second tracing parameter of the first drainage node to the second drainage node according to the sum of the first tracing parameter and the corresponding decomposition tracing parameter; the tracing superposition module is used for calculating the total tracing parameters of the second drainage nodes by using the sum of the second tracing parameters of all the different first drainage nodes to the same second drainage node; and the tracing early warning module is used for screening out the drainage node with the largest total tracing parameter from all the drainage nodes as a target node, and carrying out tracing early warning when the total tracing parameter of the target node exceeds the pollution parameter threshold.
Working principle: according to the invention, the water quality parameters are detected by arranging the sensors or the instruments at the drainage nodes in the urban wastewater discharge pipeline, the tracing analysis is carried out on the pollution sources according to the water quality parameter increment condition of the drainage nodes at the two ends of the drainage pipe section, the influence of the diversion effect and the dilution effect is considered simultaneously in the tracing analysis of the total tracing parameters of the drainage nodes, and the total tracing parameters of the second drainage nodes are obtained by calculating the sum of the second tracing parameters of the same second drainage node by all different first drainage nodes, so that the pollution sources can be accurately traced in the urban complex pipeline, the early warning can be extracted, and the pollution conditions are prevented from being accumulated in a main runner to cause the occurrence of a large pollution range.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing detailed description of the invention has been presented for purposes of illustration and description, and it should be understood that the invention is not limited to the particular embodiments disclosed, but is intended to cover all modifications, equivalents, alternatives, and improvements within the spirit and principles of the invention.
Claims (7)
1. The environment monitoring traceability analysis method based on the Internet of things is characterized by comprising the following steps of:
Establishing a distribution diagram of drainage nodes in a target area, wherein the drainage nodes are nodes formed by intersecting at least three drainage pipe sections, and each drainage node has at least one drainage direction and at least one drainage direction;
collecting water quality parameters of each drainage node;
determining a first tracing parameter of a first drainage node positioned at the discharge end and a second drainage node positioned at the discharge end according to the difference of water quality parameters of drainage nodes at two ends of the same drainage pipe section;
Determining a decomposition tracing parameter of the first drainage node to the second drainage node according to the total tracing parameter of the first drainage node and the structural parameter of the first drainage node in the distribution diagram;
Determining a second tracing parameter of the first drainage node to the second drainage node by using the sum of the first tracing parameter and the corresponding decomposition tracing parameter;
calculating the sum of the second tracing parameters of the same second drainage node by using all different first drainage nodes to obtain the total tracing parameters of the second drainage nodes;
selecting a drainage node with the maximum total traceability parameter from all drainage nodes as a target node, and carrying out traceability early warning when the total traceability parameter of the target node exceeds a pollution parameter threshold;
The total traceability parameter calculation formula of the second drainage node specifically comprises:
；
Wherein, Representing the second drainage node/>Is a total traceability parameter of (1); /(I)Representing the second drainage node/>A number of first drainage nodes having a different number; /(I)Representing the first drainage node/>Is a total traceability parameter of (1); /(I)Representing a first drainage nodeFor the second drainage node/>By the first drainage node/>A structural parameter in the profile; Representing the first drainage node/> For the second drainage node/>Is a first traceability parameter of (a);
the calculation formula of the first traceability parameter specifically comprises:
；
Wherein, Representing the first drainage node/>Water quality parameters of (a); /(I)Representing the second drainage node/>Water quality parameters of (a);
the calculation formula of the decomposition coefficient is specifically as follows:
；
Wherein, Representing the second drainage node/>And the first drainage node/>The drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the second drainage node/>And the first drainage node/>The drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the first drainage node/>With a different number of second drainage nodes.
2. The internet of things-based environment monitoring traceability analysis method of claim 1, wherein the first drainage nodeThe main flow direction of (2) is: with first drainage node/>As the drainage direction of the drainage pipe section corresponding to the drainage end and having the largest drainage amount.
3. The internet of things-based environment monitoring traceability analysis method of claim 1, wherein the first drainage nodeThe main flow direction of (2) is: and a second drainage node/>And a first drainage node/>With minimum directional deflection of the drainage pipe sections and with a first drainage node/>As the drainage direction of the drainage pipe section corresponding to the drainage end.
4. The internet of things-based environment monitoring and traceability analysis method according to claim 1, further comprising:
screening all drainage nodes with total traceability parameters exceeding pollution parameter thresholds;
determining a traversing area corresponding to a preset radius range by taking the screened drainage nodes as the center;
If the total traceability parameters of the selected drainage nodes in the traversal area are maximum, the selected drainage nodes are considered as area pollution sources, and early warning processing is carried out.
5. Environmental monitoring traceability analysis system based on thing networking, characterized by includes:
The map construction module is used for establishing a distribution map of drainage nodes in the target area, the drainage nodes are nodes formed by the intersection of at least three drainage pipe sections, and the drainage nodes have at least one drainage direction and at least one drainage direction;
the data acquisition module is used for acquiring water quality parameters of each drainage node;
The traceability analysis module is used for determining a first traceability parameter of a first drainage node positioned at the discharge end and a first traceability parameter of a second drainage node positioned at the discharge end according to the difference of water quality parameters of drainage nodes at two ends of the same drainage pipe section;
the traceability decomposition module is used for determining the decomposition traceability parameter of the first drainage node to the second drainage node according to the total traceability parameter of the first drainage node and the structural parameter of the first drainage node in the distribution diagram;
The parameter summation module is used for determining a second tracing parameter of the first drainage node to the second drainage node according to the sum of the first tracing parameter and the corresponding decomposition tracing parameter;
The tracing superposition module is used for calculating the total tracing parameters of the second drainage nodes by using the sum of the second tracing parameters of all the different first drainage nodes to the same second drainage node;
The tracing early warning module is used for screening out the drainage node with the largest total tracing parameter from all the drainage nodes as a target node, and carrying out tracing early warning when the total tracing parameter of the target node exceeds a pollution parameter threshold value;
The total traceability parameter calculation formula of the second drainage node specifically comprises:
；
Wherein, Representing the second drainage node/>Is a total traceability parameter of (1); /(I)Representing the second drainage node/>A number of first drainage nodes having a different number; /(I)Representing the first drainage node/>Is a total traceability parameter of (1); /(I)Representing a first drainage nodeFor the second drainage node/>By the first drainage node/>A structural parameter in the profile; Representing the first drainage node/> For the second drainage node/>Is a first traceability parameter of (a);
the calculation formula of the first traceability parameter specifically comprises:
；
Wherein, Representing the first drainage node/>Water quality parameters of (a); /(I)Representing the second drainage node/>Water quality parameters of (a);
the calculation formula of the decomposition coefficient is specifically as follows:
；
Wherein, Representing the second drainage node/>And the first drainage node/>The drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the second drainage node/>And the first drainage node/>The drainage direction of the inter-drainage pipe section is relative to the first drainage node/>Is a direction deviation angle of the main flow direction; /(I)Representing the first drainage node/>With a different number of second drainage nodes.
6. A computer terminal comprising a memory, a processor and a computer program stored in the memory and operable on the processor, wherein the processor implements the internet of things-based environmental monitoring and traceability analysis method according to any one of claims 1-4 when executing the program.
7. A computer readable medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the internet of things-based environment monitoring and traceability analysis method according to any of claims 1-4.
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