Visual intelligent management system for environmental protection equipment based on data transmission
Technical Field
The application belongs to the field of environmental protection equipment management, relates to a data processing technology, and in particular relates to a visual intelligent management system for environmental protection equipment based on data transmission.
Background
Environmental protection equipment refers to mechanical products, structures and systems manufactured and built by production units or building installation units for controlling environmental pollution and improving environmental quality, and environmental protection equipment is considered to be a mechanical processing product for treating environmental pollution, such as dust collectors, welding fume purifiers, monomer water treatment equipment, noise controllers and the like, and the recognition is not comprehensive.
The existing management system for the environmental protection equipment generally carries out pollution monitoring on sewage after the environmental protection equipment is treated, and the purification effect of the environmental protection equipment is fed back through a pollution monitoring result, however, the pollution monitoring is generally carried out in a sampling detection mode, so that the randomness of the sampling detection causes interference on the actual purification effect of the environmental protection equipment; meanwhile, when the purification effect of the environment-friendly equipment is unqualified, the existing environment-friendly equipment management system cannot be combined with multi-source data to analyze the reasons causing the unqualified purification effect, so that system optimization cannot be performed in a targeted mode.
The application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a visual intelligent management system for environmental protection equipment based on data transmission, which is used for solving the problem that the existing management system for environmental protection equipment cannot be combined with multi-source data to analyze the reasons causing unqualified purification effect;
the technical problems to be solved by the application are as follows: how to provide a visual intelligent management system for environmental protection equipment, which can analyze the reasons for unqualified purifying effect by combining multi-source data.
The aim of the application can be achieved by the following technical scheme:
the visual intelligent management system for the environmental protection equipment based on data transmission comprises an intelligent management platform, wherein the intelligent management platform is in communication connection with a corrosion monitoring module, a settlement monitoring module, an abnormality monitoring module and a storage module;
the corrosion monitoring module is used for carrying out corrosion monitoring analysis on a drainage pipeline of the environmental protection equipment: arranging a plurality of monitoring points on a drainage pipeline of the environmental protection equipment, inserting a detection pipeline at the monitoring points of the drainage pipeline, sequencing the detection pipeline according to the water flow direction in the drainage pipeline, and generating corresponding serial numbers; the two ends of the detection pipeline are detachably connected with the drainage pipeline, and the detection pipeline is periodically detached for corrosion monitoring;
the settlement monitoring module is used for performing settlement monitoring analysis on the drainage pipeline of the environmental protection equipment: after corrosion monitoring is completed, dividing the detection pipeline into a plurality of cylinder monitoring areas, and performing settlement monitoring on the cylinder monitoring areas;
the abnormality monitoring module is used for monitoring and analyzing the abnormal state of the drainage pipeline and obtaining an abnormality coefficient, and judging whether the use state of the drainage pipeline meets the requirement or not according to the numerical value of the abnormality coefficient.
As a preferred embodiment of the present application, the specific process of periodically removing the test pipe for corrosion monitoring includes: the inner wall of the detection pipeline is subjected to image shooting, a plurality of shot images are marked as monitoring images, the monitoring images are amplified into pixel grid images, gray level conversion is carried out to obtain gray level values of the pixel grids, a gray level threshold value is obtained through a storage module, and the gray level values of the pixel grids are compared with the gray level threshold value: if the gray value of the pixel grid is smaller than the gray threshold value, marking the corresponding pixel grid as a corrosion grid; if the gray value of the pixel grid is greater than or equal to the gray threshold value, marking the corresponding pixel grid as a normal grid; marking the ratio of the number of corrosion cells to the number of pixel cells in the monitoring image as the corrosion coefficient of the monitoring image, summing the corrosion coefficients of all the monitoring images, averaging to obtain a corrosion performance value, obtaining a corrosion performance threshold value through a storage module, comparing the corrosion performance value with the corrosion performance threshold value, and marking the detection pipeline as a corrosion pipeline or a corrosion pipeline through a comparison result.
As a preferred embodiment of the present application, the specific process of comparing the corrosion performance value with the corrosion performance threshold value comprises: if the corrosion appearance value is smaller than the corrosion appearance threshold value, judging that the corrosion state of the detection pipeline meets the requirement, and marking the corresponding detection pipeline as a corrosion pipeline; if the corrosion appearance value is greater than or equal to the corrosion appearance threshold value, judging that the corrosion state of the detection pipeline does not meet the requirement, and marking the corresponding detection pipeline as a corrosion pipeline.
As a preferred embodiment of the present application, the specific process of performing the submerged knot monitoring on the cylinder monitoring area includes: the method comprises the steps of obtaining a minimum diameter value in a cylinder monitoring area through an infrared sensor, marking the minimum diameter value in the cylinder monitoring area as an edge value, marking the minimum edge value in the cylinder monitoring area as an edge value of a detection pipeline, establishing an edge set of the edge values of all the cylinder monitoring areas, performing variance calculation on the edge set to obtain an edge coefficient, obtaining an edge value threshold and an edge threshold through a storage module, and comparing the edge value threshold and the edge coefficient with the edge value threshold and the edge threshold respectively: if the edge bursting value is greater than or equal to the edge bursting threshold value and the edge diameter coefficient is smaller than the edge diameter threshold value, judging that the sinking and knotting state of the detection pipeline meets the requirement, and marking the corresponding detection pipeline as a knotting pipeline; otherwise, the corresponding detection pipeline is marked as a hetero pipeline.
As a preferred embodiment of the application, the specific process of monitoring and analyzing the abnormal state of the drainage pipeline by the abnormality monitoring module comprises the following steps: after the corrosion monitoring and the settlement monitoring of the detection pipeline are completed, the abnormal coefficient of the drainage pipeline is obtained by carrying out numerical calculation on the number of the corrosion pipelines and the settlement pipelines; the abnormal threshold value is obtained through the storage module, the abnormal coefficient is compared with the abnormal threshold value, and whether the use state of the drainage pipeline meets the requirement or not is judged according to the comparison result.
As a preferred embodiment of the present application, the specific process of comparing the anomaly coefficient with the anomaly threshold value includes:
if the abnormality coefficient is smaller than the abnormality threshold, judging that the use state of the detected pipeline meets the requirement, and sending a pipeline replacement signal to an intelligent management platform by an abnormality monitoring module, wherein the intelligent management platform sends the pipeline replacement signal to a mobile phone terminal of a manager after receiving the pipeline replacement signal;
if the abnormality coefficient is greater than or equal to the abnormality threshold, judging that the use state of the detection pipeline does not meet the requirement, and carrying out distribution analysis on the drainage pipeline.
As a preferred embodiment of the application, the specific process of carrying out distribution analysis on the drainage pipeline comprises the following steps: establishing a pipeline set with serial numbers of the corrosion pipelines and the abnormal pipeline, performing variance calculation on the pipeline set to obtain a distribution coefficient, acquiring a distribution threshold value through a storage module, and comparing the distribution coefficient with the distribution threshold value: if the distribution coefficient is smaller than the distribution threshold value, judging that the abnormal pipeline and the abnormal pipeline have aggregation, and sending a pipeline optimization signal to an intelligent management platform by an abnormal monitoring module, wherein the intelligent management platform sends the pipeline optimization signal to a mobile phone terminal of a manager after receiving the pipeline optimization signal; if the distribution coefficient is greater than or equal to the distribution threshold value, judging that the abnormal pipeline and the abnormal pipeline have a dispersion phenomenon, and sending a process upgrading signal to the intelligent management platform by the abnormal monitoring module, wherein the intelligent management platform sends the process upgrading signal to a mobile phone terminal of a manager after receiving the process upgrading signal.
As a preferred embodiment of the application, the working method of the visual intelligent management system for the environmental protection equipment based on data transmission comprises the following steps:
step one: carrying out corrosion monitoring analysis on a drainage pipeline of the environmental protection equipment: arranging a plurality of monitoring points on a drainage pipeline of the environmental protection equipment, inserting a detection pipeline at the monitoring points of the drainage pipeline, regularly dismantling the detection pipeline for corrosion monitoring, and marking the detection pipeline as a corrosion pipeline or a corrosion pipeline;
step two: carrying out settlement monitoring analysis on a drainage pipeline of the environmental protection equipment: after corrosion monitoring is completed, dividing the detection pipeline into a plurality of cylinder monitoring areas, and marking the detection pipeline as a positive pipeline or a different pipeline through the side diameter value and the side diameter coefficient of the cylinder monitoring areas;
step three: monitoring and analyzing abnormal states of the drainage pipeline: the abnormal coefficient is obtained by calculating the number of the abnormal pipelines and the abnormal pipelines, whether the use state of the drainage pipeline meets the requirement or not is judged by the numerical value of the abnormal coefficient, and the distribution analysis is carried out on the drainage pipeline when the use state of the drainage pipeline does not meet the requirement.
The application has the following beneficial effects:
1. the corrosion monitoring module can be used for carrying out corrosion monitoring analysis on the drainage pipeline of the environmental protection equipment, the detection pipeline is convenient to be detached periodically for corrosion detection in a detachable connection mode, meanwhile, the corrosion degree of the inner wall of the detection pipeline is analyzed by combining the image shooting and image processing technology, and the detection pipeline is replaced in time when the corrosion state does not meet the requirement, so that the service life of the drainage pipeline is prolonged;
2. the settlement monitoring module can be used for performing settlement monitoring analysis on the drainage pipeline of the environmental protection equipment, and the infrared sensor is used for measuring the inner diameter value, so that the settlement state of the inner wall of the detection pipeline is fed back according to the minimum side diameter value, and early warning is performed when the settlement state of the detection pipeline causes water flow blockage, so that the detection pipeline can be replaced in time, and the smooth water flow of the drainage pipeline is ensured;
3. the sewage treatment effect of the environmental protection equipment can be monitored through the abnormal monitoring module by detecting the corrosion state and the settlement state of the pipeline, the corrosion state and the settlement state are formed by long-time drainage process deposition, and then the overall sewage purification effect of the environmental protection equipment is fed back on the basis of sampling detection at the drainage position, when the overall sewage purification effect does not meet the requirement, the factors which cause unqualified purification effect are analyzed and checked through a distribution analysis mode, and targeted solving measures are provided to ensure the purification effect of the environmental protection equipment in the subsequent sewage treatment.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
As shown in FIG. 1, the visual intelligent management system for the environmental protection equipment based on data transmission comprises an intelligent management platform, wherein the intelligent management platform is in communication connection with a corrosion monitoring module, a settlement monitoring module, an abnormality monitoring module and a storage module.
The corrosion monitoring module is used for carrying out corrosion monitoring analysis on the drainage pipeline of the environmental protection equipment: arranging a plurality of monitoring points on a drainage pipeline of the environmental protection equipment, inserting a detection pipeline at the monitoring points of the drainage pipeline, sequencing the detection pipeline according to the water flow direction in the drainage pipeline, and generating corresponding serial numbers; the detection pipeline both ends all are connected with drainage pipe dismantlement formula, regularly dismantle detection pipeline and carry out corrosion monitoring: the inner wall of the detection pipeline is subjected to image shooting, a plurality of shot images are marked as monitoring images, the monitoring images are amplified into pixel grid images, gray level conversion is carried out to obtain gray level values of the pixel grids, a gray level threshold value is obtained through a storage module, and the gray level values of the pixel grids are compared with the gray level threshold value: if the gray value of the pixel grid is smaller than the gray threshold value, marking the corresponding pixel grid as a corrosion grid; if the gray value of the pixel grid is greater than or equal to the gray threshold value, marking the corresponding pixel grid as a normal grid; marking the ratio of the number of corrosion cells to the number of pixel cells in the monitoring image as the corrosion coefficient of the monitoring image, summing the corrosion coefficients of all the monitoring images, averaging to obtain a corrosion expression value, acquiring a corrosion expression threshold value through a storage module, and comparing the corrosion expression value with the corrosion expression threshold value: if the corrosion appearance value is smaller than the corrosion appearance threshold value, judging that the corrosion state of the detection pipeline meets the requirement, and marking the corresponding detection pipeline as a corrosion pipeline; if the corrosion appearance value is greater than or equal to the corrosion appearance threshold value, judging that the corrosion state of the detection pipeline does not meet the requirement, and marking the corresponding detection pipeline as a corrosion pipeline; the drainage pipeline of the environmental protection equipment is subjected to corrosion monitoring analysis, the detection pipeline is detached in a detachable connection mode, the detection pipeline is detached regularly to perform corrosion detection, the corrosion degree of the inner wall of the detection pipeline is analyzed by combining image shooting and image processing technology, and the detection pipeline is replaced timely when the corrosion state does not meet the requirement, so that the service life of the drainage pipeline is prolonged.
The settlement monitoring module is used for carrying out settlement monitoring analysis on the drainage pipeline of the environmental protection equipment: after corrosion monitoring is completed, dividing a detection pipeline into a plurality of cylinder monitoring areas, acquiring a minimum diameter value in the cylinder monitoring areas through an infrared sensor, and marking the minimum diameter value as an edge diameter value, wherein the minimum diameter value is a minimum distance value of the inner wall of the cylinder monitoring areas; marking the minimum edge diameter value in the cylinder monitoring area as an edge bursting value of the detection pipeline, establishing edge diameter sets of the edge diameter values of all the cylinder monitoring areas, performing variance calculation on the edge diameter sets to obtain edge diameter coefficients, acquiring edge bursting threshold values and edge diameter threshold values through a storage module, and comparing the edge bursting value and the edge diameter coefficients with the edge bursting threshold values and the edge diameter threshold values respectively: if the edge bursting value is greater than or equal to the edge bursting threshold value and the edge diameter coefficient is smaller than the edge diameter threshold value, judging that the sinking and knotting state of the detection pipeline meets the requirement, and marking the corresponding detection pipeline as a knotting pipeline; otherwise, marking the corresponding detection pipeline as a different pipeline; the drainage pipeline of the environmental protection equipment is subjected to settlement monitoring analysis, the inner diameter value is measured through the infrared sensor, so that the settlement state of the inner wall of the detection pipeline is fed back according to the minimum side diameter value, and early warning is carried out when the settlement state of the detection pipeline causes water flow blockage, so that the detection pipeline can be replaced in time, and the smooth water flow of the drainage pipeline is ensured.
The abnormality monitoring module is used for monitoring and analyzing the abnormal state of the drainage pipeline: after corrosion monitoring and settlement monitoring of the detection pipeline are completed, marking the numbers of the corrosion pipelines and the settlement pipelines as FY and JY respectively, and obtaining an abnormal coefficient YC of the drainage pipeline through a formula YC=α1FY+α2JY, wherein the abnormal coefficient is a numerical value reflecting the sewage treatment purification degree of the environmental protection equipment, and the smaller the numerical value of the abnormal coefficient is, the higher the sewage treatment purification degree of the environmental protection equipment is indicated; wherein, alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than alpha 2 is more than 1; the abnormal threshold YCmax is obtained through the storage module, and the abnormal coefficient YC is compared with the abnormal threshold YCmax: if the anomaly coefficient YC is smaller than the anomaly threshold YCmax, judging that the use state of the detection pipeline meets the requirement, and sending a pipeline replacement signal to an intelligent management platform by an anomaly monitoring module, wherein the intelligent management platform sends the pipeline replacement signal to a mobile phone terminal of a manager after receiving the pipeline replacement signal; if the anomaly coefficient YC is greater than or equal to the anomaly threshold YCmax, judging that the use state of the detection pipeline does not meet the requirement, and carrying out distribution analysis on the drainage pipeline: establishing a pipeline set with serial numbers of the corrosion pipelines and the abnormal pipeline, performing variance calculation on the pipeline set to obtain a distribution coefficient, acquiring a distribution threshold value through a storage module, and comparing the distribution coefficient with the distribution threshold value: if the distribution coefficient is smaller than the distribution threshold value, judging that the abnormal pipeline and the abnormal pipeline have aggregation, and sending a pipeline optimization signal to an intelligent management platform by an abnormal monitoring module, wherein the intelligent management platform sends the pipeline optimization signal to a mobile phone terminal of a manager after receiving the pipeline optimization signal; if the distribution coefficient is greater than or equal to the distribution threshold value, judging that the abnormal pipeline and the abnormal pipeline have a dispersion phenomenon, and sending a process upgrading signal to an intelligent management platform by an abnormal monitoring module, wherein the intelligent management platform sends the process upgrading signal to a mobile phone terminal of a manager after receiving the process upgrading signal; the corrosion state and the settlement state of the pipeline are detected to monitor the sewage treatment effect of the environmental protection equipment, the corrosion state and the settlement state are formed by long-time drainage process deposition, and then the integral sewage purification effect of the environmental protection equipment is fed back on the basis of sampling detection at the drainage position, when the integral sewage purification effect does not meet the requirement, the factors which cause unqualified purification effect are analyzed and checked in a distributed analysis mode, and targeted solving measures are provided to ensure the purification effect of the environmental protection equipment in the subsequent sewage treatment.
Example two
As shown in fig. 2, a visual intelligent management method for environmental protection equipment based on data transmission includes the following steps:
step one: carrying out corrosion monitoring analysis on a drainage pipeline of the environmental protection equipment: arranging a plurality of monitoring points on a drainage pipeline of the environmental protection equipment, inserting a detection pipeline at the monitoring points of the drainage pipeline, regularly dismantling the detection pipeline for corrosion monitoring, and marking the detection pipeline as a corrosion pipeline or a corrosion pipeline;
step two: carrying out settlement monitoring analysis on a drainage pipeline of the environmental protection equipment: after corrosion monitoring is completed, dividing the detection pipeline into a plurality of cylinder monitoring areas, and marking the detection pipeline as a positive pipeline or a different pipeline through the side diameter value and the side diameter coefficient of the cylinder monitoring areas;
step three: monitoring and analyzing abnormal states of the drainage pipeline: the abnormal coefficient is obtained by calculating the number of the abnormal pipelines and the abnormal pipelines, whether the use state of the drainage pipeline meets the requirement or not is judged by the numerical value of the abnormal coefficient, and the distribution analysis is carried out on the drainage pipeline when the use state of the drainage pipeline does not meet the requirement.
Visual intelligent management system for environmental protection equipment based on data transmission, during operation, carry out corrosion monitoring analysis to environmental protection equipment's drain pipe: arranging a plurality of monitoring points on a drainage pipeline of the environmental protection equipment, inserting a detection pipeline at the monitoring points of the drainage pipeline, regularly dismantling the detection pipeline to perform corrosion monitoring, marking the detection pipeline as a corrosion pipeline or a corrosion pipeline, and timely replacing the detection pipeline when the corrosion state does not meet the requirement, so that the service life of the drainage pipeline is prolonged; carrying out settlement monitoring analysis on a drainage pipeline of the environmental protection equipment: after corrosion monitoring is finished, dividing the detection pipeline into a plurality of cylinder monitoring areas, marking the detection pipeline as a positive pipeline or a different pipeline through the side diameter value and the side diameter coefficient of the cylinder monitoring areas, and early warning when water flow is blocked due to a sinking and sinking state, so that the detection pipeline can be replaced in time, and the water flow of the drainage pipeline is ensured to be smooth; monitoring and analyzing abnormal states of the drainage pipeline: the abnormal coefficient is obtained by calculating the number of the abnormal pipelines and the number of the corrosion pipelines, whether the use state of the drainage pipelines meets the requirement or not is judged by the numerical value of the abnormal coefficient, the drainage pipelines are distributed and analyzed when the use state of the drainage pipelines does not meet the requirement, and the integral sewage purifying effect of the environmental protection equipment is fed back on the basis of sampling detection at the drainage position.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula yc=α1×fy+α2×jy; collecting a plurality of groups of sample data by a person skilled in the art and setting corresponding anomaly coefficients for each group of sample data; substituting the set abnormal coefficient and the acquired sample data into a formula, forming a binary one-time equation set by any two formulas, screening the calculated coefficient and taking an average value to obtain values of alpha 1 and alpha 2 which are respectively 3.15 and 2.34;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding abnormal coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the abnormal coefficient is in direct proportion to the number of the corrosion pipelines.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.