CN115796773A - High dust removal project analysis management system based on data analysis - Google Patents
High dust removal project analysis management system based on data analysis Download PDFInfo
- Publication number
- CN115796773A CN115796773A CN202211479222.7A CN202211479222A CN115796773A CN 115796773 A CN115796773 A CN 115796773A CN 202211479222 A CN202211479222 A CN 202211479222A CN 115796773 A CN115796773 A CN 115796773A
- Authority
- CN
- China
- Prior art keywords
- dust removal
- project
- dust
- signal
- analysis
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Sampling And Sample Adjustment (AREA)
Abstract
The invention discloses a high dust removal project analysis management system based on data analysis, which relates to the technical field of dust removal project analysis management and solves the technical problems that in the prior art, the influence factors of a dust removal project and dust removal equipment cannot be analyzed accurately, so that the working efficiency stability of the dust removal project is reduced; the operation monitoring of the dust removing equipment in the current dust removing project is carried out, whether the influence of the dust removing equipment on the operation process is normal or not is judged, the anti-interference capability of the dust removing equipment is analyzed in real time, the stability of the operation of the dust removing project is ensured, the influence of the operation of the dust removing equipment is reduced, and the dust removing efficiency of the dust removing project is reduced.
Description
Technical Field
The invention relates to the technical field of dust removal project analysis management, in particular to a high dust removal project analysis management system based on data analysis.
Background
With the rapid development of industrialization and the continuous improvement of human living standard, the pollution problem caused by the use of fossil fuel is becoming more serious. SO2 and nitrogen oxides (NOx) contained in flue gases emitted from industrial kilns are the main causes of acid rain and photochemical smog formation, and are destructive to the ecological environment and cause huge economic losses. Meanwhile, in the industrial production process, the dust removal project is particularly important.
However, in the prior art, in the industrial production process, the influence factors of the dust removal project and the dust removal equipment cannot be analyzed accurately, so that the stability of the working efficiency of the dust removal project is reduced, meanwhile, the real-time detection of the dust removal efficiency in the dust removal project cannot be carried out, and the dust removal efficiency cannot be immediately reduced, thereby reducing the dust removal efficiency.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a high-dust removal project analysis management system based on data analysis, which analyzes the influence factors of the real-time progress of a dust removal project and judges whether the development efficiency of the dust removal project executed in real time is qualified or not, so that the working efficiency of the dust removal project is ensured, the unqualified efficiency of the dust removal project is prevented, the risk of rework is increased, and unnecessary cost waste is caused to the dust removal project; the operation monitoring of the dust removing equipment in the current dust removing project is carried out, whether the influence of the dust removing equipment on the operation process is normal or not is judged, the anti-interference capability of the dust removing equipment is analyzed in real time, the stability of the operation of the dust removing project is ensured, the influence of the operation of the dust removing equipment is reduced, the dust removing efficiency of the dust removing project is reduced, meanwhile, the loss of the dust removing equipment is increased, and the service life of the dust removing equipment is prolonged.
The purpose of the invention can be realized by the following technical scheme:
high desorption dirt project analysis management system based on data analysis, including the server, the server communication is connected with:
the dust removal influence factor analysis unit is used for analyzing the influence factors of the real-time progress of the dust removal project, judging whether the development efficiency of the dust removal project executed in real time is qualified or not, analyzing the dust removal project executed in real time, simultaneously using a catalyst used in the dust removal project as an analysis object, generating an influence risk signal, a use risk signal and an influence analysis qualified signal through analysis, and sending the influence risk signal, the use risk signal and the influence analysis qualified signal to the server;
the dust removal equipment influence analysis unit is used for monitoring the operation of the dust removal equipment in the current dust removal project, judging whether the influence of the dust removal equipment in the operation process is normal or not, generating an environmental influence signal, an equipment type selection abnormal signal, an inefficient operation signal and an operation qualified signal through analysis, and sending the environmental influence signal, the equipment type selection abnormal signal, the inefficient operation signal and the operation qualified signal to the server;
the dust removal efficiency analysis monitoring unit is used for analyzing and monitoring the dust removal efficiency of the dust removal project, judging whether the dust removal efficiency of the dust removal project executed in real time is qualified or not, generating a dust removal efficiency analysis qualified signal, a dust removal efficiency analysis unqualified signal and a dust removal efficiency analysis qualified signal through analysis, and sending the signals to the server;
and the dust removal feasibility analysis unit is used for analyzing the feasibility of the current dust removal project, judging whether the current dust removal project is reasonable in execution or not, generating a low feasibility signal and a high feasibility signal through analysis, and sending the signals to the server.
As a preferred embodiment of the present invention, the dust removal influencing factor analyzing unit operates as follows:
acquiring the average service life of the catalyst in the dust removal project executed in real time and the operating time length ratio of the catalyst in the dust removal project in the corresponding rated suitable temperature range, and comparing the average service life of the catalyst in the dust removal project executed in real time and the operating time length ratio of the catalyst in the dust removal project in the corresponding rated suitable temperature range with an average service life threshold value and an operating time length ratio threshold value respectively:
if the average service life of the catalyst in the dust removal project executed in real time does not exceed the average service life threshold, judging that the dust removal project executed in real time has an influence risk, generating an influence risk signal and sending the influence risk signal to a server;
if the operation duration ratio of the catalyst in the corresponding rated proper temperature range in the dust removal project does not exceed the operation duration ratio threshold, determining that the catalyst in the dust removal project executed in real time is in use risk, generating a use risk signal and sending the use risk signal to a server;
and if the average service life of the catalyst in the dust removal project executed in real time exceeds the average service life threshold value, and the operation time length ratio of the catalyst in the corresponding rated proper temperature range in the dust removal project exceeds the operation time length ratio threshold value, judging that the influence factor analysis of the dust removal project executed in real time is qualified, generating an influence analysis qualified signal and sending the influence analysis qualified signal to the server.
As a preferred embodiment of the present invention, the operation of the dust removal device influencing the analysis unit is as follows:
the method comprises the steps of collecting the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item and the reduction range of the sustainable operation time length in the dust removing item execution process, and comparing the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item and the reduction range of the sustainable operation time length in the dust removing item execution process with a sustainable operation time length threshold value and a reduction range threshold value respectively.
As a preferred embodiment of the present invention, if the sustainable operation duration of the dust removing device operating in real time in the dust removing project exceeds the sustainable operation duration threshold, and the reduction amplitude of the sustainable operation duration exceeds the reduction amplitude threshold in the execution process of the dust removing project, it is determined that the use of the dust removing device is affected by the environment, an environment-affecting signal is generated, and the environment-affecting signal is sent to the server; if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project does not exceed the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length exceeds the reduction amplitude threshold value in the execution process of the dust removing project, judging that the type selection of the dust removing equipment is abnormal, generating an equipment type selection abnormal signal and sending the equipment type selection abnormal signal to a server;
if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project does not exceed the threshold value of the sustainable operation time length and the reduction amplitude of the sustainable operation time length does not exceed the threshold value of the reduction amplitude in the execution process of the dust removing project, judging that the dust removing equipment is in low-efficiency operation, generating a low-efficiency operation signal and sending the low-efficiency operation signal to a server; if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project exceeds the threshold value of the sustainable operation time length and the reduction amplitude of the sustainable operation time length does not exceed the threshold value of the reduction amplitude in the execution process of the dust removing project, judging that the dust removing equipment is qualified to operate, generating an operation qualified signal and sending the operation qualified signal to the server.
As a preferred embodiment of the present invention, the operation process of the dust removal efficiency analyzing and monitoring unit is as follows:
the method comprises the steps of collecting the inhibition amount of dust in a construction site in the dust removal project execution process and the maximum dust removal speed difference value of the dust removal project under different dust concentrations, and comparing the inhibition amount of dust in the construction site in the dust removal project execution process and the maximum dust removal speed difference value of the dust removal project under different dust concentrations with a dust inhibition amount threshold value and a maximum dust removal speed difference value threshold value respectively.
As a preferred embodiment of the invention, if the suppression amount of dust in a construction site exceeds a dust suppression amount threshold value in the execution process of a dust removal project and the maximum dust removal speed difference value of the dust removal project under different dust concentrations does not exceed a maximum dust removal speed difference value threshold value, determining that the dust removal efficiency of the current dust removal project is qualified, generating a dust removal efficiency analysis qualified signal and sending the dust removal efficiency analysis qualified signal to a server;
if the suppression amount of dust in a construction site does not exceed the dust suppression amount threshold value in the dust removal project execution process, or the maximum dust removal speed difference value of the dust removal project under different dust concentrations exceeds the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is unqualified, generating a unqualified dust removal efficiency analysis signal and sending the unqualified dust removal efficiency analysis signal to a server;
and if the suppression amount of dust in the construction site exceeds a dust suppression amount threshold value in the execution process of the dust removal project, and the maximum dust removal speed difference value of the dust removal project under different dust concentrations does not exceed the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is qualified, generating a dust removal efficiency analysis qualified signal and sending the dust removal efficiency analysis qualified signal to the server.
As a preferred embodiment of the present invention, the operation of the dust removal feasibility analysis unit is as follows:
acquiring the excessive output of the cost consumed by the current dust removal project execution and the preset treatment cost before the dust removal project is not executed and the difference value between the actual execution period of the current dust removal project and the preset execution period, and comparing the excessive output of the cost consumed by the current dust removal project execution and the preset treatment cost before the dust removal project is not executed and the difference value between the actual execution period of the current dust removal project and the preset execution period with a cost excessive output threshold value and a period difference value threshold value respectively:
if the excessive output of the cost consumed by the execution of the current dust removal project and the preset treatment cost before the dust removal project is not executed exceeds a cost excessive output threshold value, or the difference value of the actual execution period of the current dust removal project and the preset execution period exceeds a period difference value threshold value, judging that the feasibility analysis of the dust removal project is unqualified, generating a low feasibility signal and sending the low feasibility signal to a server; and if the cost consumed by the execution of the current dust removal project and the excess of the preset treatment cost before the dust removal project is not executed do not exceed the cost excess threshold, and the difference value between the actual execution period of the current dust removal project and the preset execution period does not exceed the period difference threshold, judging that the feasibility analysis of the dust removal project is qualified, generating a high feasibility signal and sending the high feasibility signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the real-time progress of the dedusting project is subjected to influence factor analysis, and whether the development efficiency of the dedusting project executed in real time is qualified is judged, so that the working efficiency of the dedusting project is ensured, the unqualified efficiency of the dedusting project is prevented, the risk of rework is increased, and unnecessary cost waste is generated in the dedusting project; the operation of the dust removing equipment in the current dust removing project is monitored, whether the influence of the dust removing equipment in the operation process is normal is judged, the anti-interference capability of the dust removing equipment is analyzed in real time, the operation stability of the dust removing project is ensured, the influence of the operation of the dust removing equipment is reduced, the dust removing efficiency of the dust removing project is reduced, meanwhile, the loss of the dust removing equipment is increased, and the service life of the dust removing equipment is shortened;
2. according to the invention, the dust removal efficiency of the dust removal project is analyzed and monitored, and whether the dust removal efficiency of the dust removal project executed in real time is qualified or not is judged, so that the monitoring strength of the dust removal project is improved, and the working efficiency of the dust removal project is ensured; the feasibility of the current dust removal project is analyzed, and whether the current dust removal project is reasonable in execution or not is judged, so that the working efficiency of the dust removal project is improved, and the execution risk of the dust removal project is reduced.
Drawings
To facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of a high dusting project analysis management system based on data analysis according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, the data analysis-based high dust removal project analysis and management system includes a server, the server is in communication connection with a dust removal influence factor analysis unit, a dust removal efficiency analysis and monitoring unit, a dust removal equipment influence analysis unit and a dust removal feasibility analysis unit, wherein the server, the dust removal influence factor analysis unit, the dust removal efficiency analysis and monitoring unit, the dust removal equipment influence analysis unit and the dust removal feasibility analysis unit are in bidirectional communication connection;
the server generates a dust removal influence factor analysis signal and sends the dust removal influence factor analysis signal to the dust removal influence factor analysis unit, and the dust removal influence factor analysis unit analyzes the influence factor of the real-time progress of the dust removal project after receiving the dust removal influence factor analysis signal, and judges whether the development efficiency of the dust removal project executed in real time is qualified or not, so that the working efficiency of the dust removal project is ensured, the unqualified development efficiency of the dust removal project is prevented, the rework risk is increased, and unnecessary cost waste is caused to the dust removal project;
analyzing the real-time executed dust removal project, simultaneously taking the catalyst used in the dust removal project as an analysis object, acquiring the average service life of the catalyst in the real-time executed dust removal project and the operating duration ratio of the catalyst in the dust removal project in the corresponding rated proper temperature range, and respectively comparing the average service life of the catalyst in the real-time executed dust removal project and the operating duration ratio of the catalyst in the dust removal project in the corresponding rated proper temperature range with an average service life threshold value and an operating duration ratio threshold value:
if the average service life of the catalyst in the dust removal project executed in real time does not exceed the average service life threshold, judging that the dust removal project executed in real time has an influence risk, generating an influence risk signal and sending the influence risk signal to a server, and after receiving the influence risk signal, the server carries out type replacement on the catalyst in the dust removal project;
if the operation time length ratio of the catalyst in the dust removal project in the corresponding rated proper temperature range does not exceed the operation time length ratio threshold, determining that the catalyst in the dust removal project executed in real time is in risk, generating a use risk signal and sending the use risk signal to a server, and after receiving the use risk signal, the server controls the use of the catalyst in the currently executed dust removal project, so as to reduce the use time length of the catalyst in the improper temperature range;
if the average service life of the catalyst in the dust removal project executed in real time exceeds an average service life threshold value, and the operating time length ratio of the catalyst in the dust removal project within the corresponding rated proper temperature range exceeds an operating time length ratio threshold value, judging that the analysis of the influence factors of the dust removal project executed in real time is qualified, generating an influence analysis qualified signal and sending the influence analysis qualified signal to a server;
after receiving the influence analysis qualified signal, the server generates a dust removal equipment influence analysis signal and sends the dust removal equipment influence analysis signal to a dust removal equipment influence analysis unit, after receiving the dust removal equipment influence analysis signal, the dust removal equipment influence analysis unit monitors the operation of dust removal equipment in the current dust removal project, judges whether the influence of the dust removal equipment in the operation process is normal or not, analyzes the anti-interference capability of the dust removal equipment in real time, ensures the stability of the operation of the dust removal project, reduces the influence of the operation of the dust removal equipment, reduces the dust removal efficiency of the dust removal project, increases the loss of the dust removal equipment and reduces the service life of the dust removal equipment;
acquiring the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item and the reduction range of the sustainable operation time length in the execution process of the dust removing item, and comparing the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item and the reduction range of the sustainable operation time length in the execution process of the dust removing item with a sustainable operation time length threshold value and a reduction range threshold value respectively:
if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project exceeds the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length exceeds the reduction amplitude threshold value in the execution process of the dust removing project, judging that the use of the dust removing equipment is influenced by the environment, generating an environment influence signal and sending the environment influence signal to a server, after receiving the environment influence signal, the server controls the use of the dust removing equipment to reduce the continuous time length, and simultaneously controls the surrounding environment of the dust removing equipment to prevent the reduction of the operation quality of the dust removing equipment caused by the abnormal surrounding environment;
if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item does not exceed the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length exceeds the reduction amplitude threshold value in the execution process of the dust removing item, judging that the type selection of the dust removing equipment is abnormal, generating an equipment type selection abnormal signal and sending the equipment type selection abnormal signal to a server, and reselecting the type of the dust removing equipment corresponding to the dust removing item after the server receives the equipment type selection abnormal signal;
if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project does not exceed the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length does not exceed the reduction amplitude threshold value in the dust removing project executing process, judging that the dust removing equipment operates inefficiently, generating an inefficient operation signal and sending the inefficient operation signal to a server, after receiving the inefficient operation signal, the server controls the increasing speed of the current strength of the dust removing equipment to control the continuous operation time length, monitoring the operation efficiency of the dust removing equipment when the continuous operation time length needs to be increased, and if the operation efficiency floats, replacing the model of the corresponding dust removing equipment;
if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project exceeds the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length does not exceed the reduction amplitude threshold value in the execution process of the dust removing project, judging that the dust removing equipment is qualified to operate, generating an operation qualified signal and sending the operation qualified signal to the server;
after receiving the operation qualified signal, the server generates a dust removal efficiency analysis monitoring signal and sends the dust removal efficiency analysis monitoring signal to a dust removal efficiency analysis monitoring unit, and after receiving the dust removal efficiency analysis monitoring signal, the dust removal efficiency analysis monitoring unit analyzes and monitors the dust removal efficiency of the dust removal project, judges whether the dust removal efficiency of the dust removal project executed in real time is qualified or not, improves the monitoring force of the dust removal project and ensures the working efficiency of the dust removal project;
collecting the inhibition amount of dust in a construction site in the dust removal project execution process and the maximum dust removal speed difference value of the dust removal project under different dust concentrations, and comparing the inhibition amount of dust in the construction site in the dust removal project execution process and the maximum dust removal speed difference value of the dust removal project under different dust concentrations with a dust inhibition amount threshold value and a maximum dust removal speed difference value threshold value respectively:
if the suppression amount of dust in a construction site exceeds a dust suppression amount threshold value in the execution process of a dust removal project, and the maximum dust removal speed difference value of the dust removal project under different dust concentrations does not exceed the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is qualified, generating a dust removal efficiency analysis qualified signal and sending the dust removal efficiency analysis qualified signal to a server;
if the suppression amount of dust in a construction site does not exceed the dust suppression amount threshold value in the dust removal project execution process, or the maximum dust removal speed difference value of the dust removal project under different dust concentrations exceeds the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is unqualified, generating a unqualified dust removal efficiency analysis signal and sending the unqualified dust removal efficiency analysis signal to a server; after receiving the unqualified dust removal efficiency analysis signal, the server performs efficiency control on the corresponding dust removal item, performs model reselection on the dust removal equipment or improves the operation strength of the dust removal equipment;
if the suppression amount of dust in a construction site exceeds a dust suppression amount threshold value in the execution process of the dust removal project and the maximum dust removal speed difference value of the dust removal project under different dust concentrations does not exceed the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is qualified, generating a dust removal efficiency analysis qualified signal and sending the dust removal efficiency analysis qualified signal to a server;
after receiving the dust removal efficiency analysis qualified signal, the server generates a dust removal feasibility analysis signal and sends the dust removal feasibility analysis signal to the dust removal feasibility analysis unit, and after receiving the dust removal feasibility analysis signal, the dust removal feasibility analysis unit analyzes the feasibility of the current dust removal project and judges whether the current dust removal project is reasonable in execution or not, so that the working efficiency of the dust removal project is improved, and the execution risk of the dust removal project is reduced;
acquiring the excessive output of the cost consumed by the current dust removal project execution and the preset treatment cost before the dust removal project is not executed and the difference value between the actual execution period of the current dust removal project and the preset execution period, and comparing the excessive output of the cost consumed by the current dust removal project execution and the preset treatment cost before the dust removal project is not executed and the difference value between the actual execution period of the current dust removal project and the preset execution period with a cost excessive output threshold value and a period difference value threshold value respectively:
if the excessive output of the cost consumed by the execution of the current dust removal project and the preset treatment cost before the dust removal project is not executed exceeds a cost excessive output threshold, or the difference value of the actual execution period of the current dust removal project and the preset execution period exceeds a period difference threshold, judging that the feasibility analysis of the dust removal project is unqualified, generating a low feasibility signal and sending the low feasibility signal to a server, and after receiving the low feasibility signal, carrying out cost control on the current dust removal project by the server;
and if the excessive amount of the cost consumed by the execution of the current dust removal project and the preset treatment cost before the dust removal project is not executed does not exceed the cost excessive amount threshold, and the difference value between the actual execution period of the current dust removal project and the preset execution period does not exceed the period difference value threshold, judging that the feasibility analysis of the dust removal project is qualified, generating a high-feasibility signal and sending the high-feasibility signal to the server.
When the dust removal analysis system is used, the dust removal influence factor analysis unit analyzes the influence factor of the real-time progress of a dust removal project, judges whether the development efficiency of the dust removal project executed in real time is qualified or not, analyzes the dust removal project executed in real time, simultaneously takes a catalyst used in the dust removal project as an analysis object, generates an influence risk signal, a use risk signal and an influence analysis qualified signal through analysis, and sends the influence risk signal, the use risk signal and the influence analysis qualified signal to a server; the operation of the dust removing equipment in the current dust removing project is monitored through the dust removing equipment influence analysis unit, whether the influence of the dust removing equipment in the operation process is normal or not is judged, an environment influence signal, an equipment type selection abnormal signal, an inefficient operation signal and an operation qualified signal are generated through analysis, and the environment influence signal, the equipment type selection abnormal signal, the inefficient operation signal and the operation qualified signal are sent to the server; analyzing and monitoring the dust removal efficiency of the dust removal item through a dust removal efficiency analysis and monitoring unit, judging whether the dust removal efficiency of the dust removal item executed in real time is qualified or not, generating a dust removal efficiency analysis qualified signal, a dust removal efficiency analysis unqualified signal and a dust removal efficiency analysis qualified signal through analysis, and sending the signals to a server; the feasibility of the current dust removal project is analyzed through the dust removal feasibility analysis unit, whether the current dust removal project is reasonable in execution or not is judged, and a low feasibility signal and a high feasibility signal are generated through analysis and sent to the server.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms 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 invention and the practical application, to thereby enable others skilled in the art to best understand the invention for and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. High desorption dirt project analysis management system based on data analysis, its characterized in that, including the server, the server communication is connected with:
the dust removal influence factor analysis unit is used for analyzing the influence factors of the real-time progress of the dust removal project, judging whether the development efficiency of the dust removal project executed in real time is qualified or not, analyzing the dust removal project executed in real time, simultaneously using a catalyst used in the dust removal project as an analysis object, generating an influence risk signal, a use risk signal and an influence analysis qualified signal through analysis, and sending the influence risk signal, the use risk signal and the influence analysis qualified signal to the server;
the dust removal equipment influence analysis unit is used for monitoring the operation of the dust removal equipment in the current dust removal project, judging whether the influence of the dust removal equipment in the operation process is normal or not, generating an environmental influence signal, an equipment type selection abnormal signal, an inefficient operation signal and an operation qualified signal through analysis, and sending the environmental influence signal, the equipment type selection abnormal signal, the inefficient operation signal and the operation qualified signal to the server;
the dust removal efficiency analysis monitoring unit is used for analyzing and monitoring the dust removal efficiency of the dust removal project, judging whether the dust removal efficiency of the dust removal project executed in real time is qualified or not, generating a dust removal efficiency analysis qualified signal, a dust removal efficiency analysis unqualified signal and a dust removal efficiency analysis qualified signal through analysis, and sending the signals to the server;
and the dust removal feasibility analysis unit is used for analyzing the feasibility of the current dust removal project, judging whether the current dust removal project is reasonable in execution or not, generating a low feasibility signal and a high feasibility signal through analysis, and sending the signals to the server.
2. The data analysis-based high dust removal project analysis management system according to claim 1, wherein the dust removal influencing factor analysis unit operates as follows:
acquiring the average service life of the catalyst in the real-time executed dust removal project and the operating time length ratio of the catalyst in the dust removal project in the corresponding rated suitable temperature range, and respectively comparing the average service life of the catalyst in the real-time executed dust removal project and the operating time length ratio of the catalyst in the dust removal project in the corresponding rated suitable temperature range with an average service life threshold value and an operating time length ratio threshold value:
if the average service life of the catalyst in the dust removal project executed in real time does not exceed the average service life threshold, judging that the dust removal project executed in real time has an influence risk, generating an influence risk signal and sending the influence risk signal to a server;
if the operation time length proportion of the catalyst in the corresponding rated proper temperature range in the dust removal project does not exceed the operation time length proportion threshold, judging that the catalyst in the dust removal project executed in real time is in use and has risks, generating a use risk signal and sending the use risk signal to a server;
and if the average service life of the catalyst in the dust removal project executed in real time exceeds the average service life threshold value, and the operation time length ratio of the catalyst in the corresponding rated proper temperature range in the dust removal project exceeds the operation time length ratio threshold value, judging that the influence factor analysis of the dust removal project executed in real time is qualified, generating an influence analysis qualified signal and sending the influence analysis qualified signal to the server.
3. The data analysis-based high dust removal project analysis management system according to claim 1, wherein the operation process of the dust removing device influence analysis unit is as follows:
the method comprises the steps of collecting the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item and the reduction range of the sustainable operation time length in the dust removing item execution process, and comparing the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing item and the reduction range of the sustainable operation time length in the dust removing item execution process with a sustainable operation time length threshold value and a reduction range threshold value respectively.
4. The data analysis-based high dust removal project analysis management system according to claim 3, wherein if the sustainable operation duration of the dust removal equipment operating in real time in the dust removal project exceeds the sustainable operation duration threshold and the reduction range of the sustainable operation duration in the execution process of the dust removal project exceeds the reduction range threshold, it is determined that the use of the dust removal equipment is influenced by the environment, an environment influence signal is generated and sent to the server; if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project does not exceed the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length exceeds the reduction amplitude threshold value in the execution process of the dust removing project, judging that the type selection of the dust removing equipment is abnormal, generating an equipment type selection abnormal signal and sending the equipment type selection abnormal signal to a server;
if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project does not exceed the threshold value of the sustainable operation time length and the reduction amplitude of the sustainable operation time length does not exceed the threshold value of the reduction amplitude in the execution process of the dust removing project, judging that the dust removing equipment is in low-efficiency operation, generating a low-efficiency operation signal and sending the low-efficiency operation signal to a server; if the sustainable operation time length of the dust removing equipment which operates in real time in the dust removing project exceeds the sustainable operation time length threshold value and the reduction amplitude of the sustainable operation time length does not exceed the reduction amplitude threshold value in the execution process of the dust removing project, judging that the dust removing equipment is qualified to operate, generating an operation qualified signal and sending the operation qualified signal to the server.
5. The data analysis-based high dust removal project analysis management system according to claim 1, wherein the operation process of the dust removal efficiency analysis monitoring unit is as follows:
the method comprises the steps of collecting the inhibition amount of dust in a construction site in the dust removal project execution process and the maximum dust removal speed difference value of the dust removal project under different dust concentrations, and comparing the inhibition amount of dust in the construction site in the dust removal project execution process and the maximum dust removal speed difference value of the dust removal project under different dust concentrations with a dust inhibition amount threshold value and a maximum dust removal speed difference value threshold value respectively.
6. The high dust removal project analysis management system based on data analysis of claim 5, wherein if the suppression amount of dust in a construction site exceeds a dust suppression amount threshold value in the execution process of a dust removal project, and the maximum dust removal speed difference value of the dust removal project under different dust concentrations does not exceed a maximum dust removal speed difference value threshold value, the dust removal efficiency of the current dust removal project is judged to be qualified, a dust removal efficiency analysis qualified signal is generated, and the dust removal efficiency analysis qualified signal is sent to the server;
if the suppression amount of dust in a construction site does not exceed the dust suppression amount threshold value in the dust removal project execution process, or the maximum dust removal speed difference value of the dust removal project under different dust concentrations exceeds the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is unqualified, generating a unqualified dust removal efficiency analysis signal and sending the unqualified dust removal efficiency analysis signal to a server;
and if the suppression amount of dust in the construction site exceeds a dust suppression amount threshold value in the execution process of the dust removal project, and the maximum dust removal speed difference value of the dust removal project under different dust concentrations does not exceed the maximum dust removal speed difference value threshold value, judging that the dust removal efficiency of the current dust removal project is qualified, generating a dust removal efficiency analysis qualified signal and sending the dust removal efficiency analysis qualified signal to the server.
7. The data analysis-based high dust removal project analysis management system according to claim 1, wherein the dust removal feasibility analysis unit operates as follows:
acquiring the excessive output of the cost consumed by the current dust removal project execution and the preset treatment cost before the dust removal project is not executed and the difference value between the actual execution period of the current dust removal project and the preset execution period, and comparing the excessive output of the cost consumed by the current dust removal project execution and the preset treatment cost before the dust removal project is not executed and the difference value between the actual execution period of the current dust removal project and the preset execution period with a cost excessive output threshold value and a period difference value threshold value respectively:
if the excessive output of the cost consumed by the execution of the current dust removal project and the preset treatment cost before the dust removal project is not executed exceeds a cost excessive output threshold value, or the difference value of the actual execution period of the current dust removal project and the preset execution period exceeds a period difference value threshold value, judging that the feasibility analysis of the dust removal project is unqualified, generating a low feasibility signal and sending the low feasibility signal to a server; and if the excessive amount of the cost consumed by the execution of the current dust removal project and the preset treatment cost before the dust removal project is not executed does not exceed the cost excessive amount threshold, and the difference value between the actual execution period of the current dust removal project and the preset execution period does not exceed the period difference value threshold, judging that the feasibility analysis of the dust removal project is qualified, generating a high-feasibility signal and sending the high-feasibility signal to the server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211479222.7A CN115796773A (en) | 2022-11-24 | 2022-11-24 | High dust removal project analysis management system based on data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211479222.7A CN115796773A (en) | 2022-11-24 | 2022-11-24 | High dust removal project analysis management system based on data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115796773A true CN115796773A (en) | 2023-03-14 |
Family
ID=85440811
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211479222.7A Pending CN115796773A (en) | 2022-11-24 | 2022-11-24 | High dust removal project analysis management system based on data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115796773A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116993538A (en) * | 2023-06-05 | 2023-11-03 | 深圳市大司建设集团有限公司 | Indoor decoration engineering environment quality supervision system based on Internet of things |
-
2022
- 2022-11-24 CN CN202211479222.7A patent/CN115796773A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116993538A (en) * | 2023-06-05 | 2023-11-03 | 深圳市大司建设集团有限公司 | Indoor decoration engineering environment quality supervision system based on Internet of things |
| CN116993538B (en) * | 2023-06-05 | 2024-04-09 | 深圳市大司建设集团有限公司 | Indoor decoration engineering environment quality supervision system based on Internet of things |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107656467A (en) | A kind of method based on Internet of Things Distribution Management System and its on-line monitoring | |
| CN115796773A (en) | High dust removal project analysis management system based on data analysis | |
| CN201936436U (en) | Desulphurization device waste-gas soot-dust emission concentration remote on-line monitoring system | |
| CN114069856B (en) | Remote monitoring system and method for electric automobile charging facility | |
| CN110763270A (en) | Power transmission line tower pole working condition monitoring system based on multiple information acquisition | |
| CN102568172A (en) | System for remotely carrying out on-line monitoring on discharge concentration of waste gas dust discharged by desulfurizer | |
| CN115657631B (en) | Intelligent monitoring system for industrial control equipment operation field environment | |
| CN111668925A (en) | Transformer inspection tour inspection device based on intelligent vision | |
| CN115173567A (en) | Monitoring method, device, server and medium for intelligent power distribution room | |
| CN202707551U (en) | Intelligent ventilation energy-saving control system for medium-long tunnel | |
| CN114544513A (en) | Full-spectrum water quality monitoring system based on solar power supply | |
| CN111720343A (en) | Online monitoring and evaluating system for operation state of slurry circulating pump of desulfurizing tower | |
| CN113537658A (en) | Equipment risk assessment and maintenance system and method | |
| CN115130572A (en) | Method, device, equipment and medium for determining abnormal energy consumption of public building | |
| CN115313664A (en) | Transformer substation direct current insulation monitoring and checking system based on data analysis | |
| CN114218861A (en) | Novel smart power grids battery is at line nuclear capacity monitoring system | |
| CN114002991A (en) | Control system and method for air dust removal device in tunnel | |
| CN113031552B (en) | Cooperative control method and system for environmental protection equipment behind furnace | |
| CN111148060A (en) | Data acquisition device, control method thereof, control device and storage medium | |
| CN212701291U (en) | Accurate control system that sprays of aqueous ammonia | |
| CN212283537U (en) | Waste gas treatment management system | |
| CN219893019U (en) | High-low voltage distribution room point inspection control structure | |
| CN117477794B (en) | Power distribution station power consumption management optimization system and method based on gateway machine data exchange | |
| CN216310593U (en) | On-line detection wireless remote control system | |
| CN211435762U (en) | Electrical automatic control system of asphalt flue gas purification equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |