CN115597902B - A turning device operating efficiency analytic system for dichloro isocyanuric acid sodium processing - Google Patents
A turning device operating efficiency analytic system for dichloro isocyanuric acid sodium processing Download PDFInfo
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Abstract
The invention discloses an operation efficiency analysis system of a turnover device for processing sodium dichloroisocyanurate, which relates to the technical field of operation detection of a turning and mixing device and solves the technical problems that in the prior art, the external influence of processing cannot be detected, the accuracy of quality analysis of a turned and mixed product cannot be further ensured while the turning and mixing efficiency is influenced; detecting the stirring process of an analysis object through a stirring parameter analysis and detection unit, and judging whether the stirring parameters of stirring equipment are normal or not; the operation process of the stirring equipment is analyzed by operating an external influence analysis unit.
Description
Technical Field
The invention relates to the technical field of operation detection of stirring equipment, in particular to an operation efficiency analysis system of a turnover device for processing sodium dichloroisocyanurate.
Background
Sodium dichloroisocyanurate is a white powdery or granular solid, is the most broad-spectrum, efficient and safe disinfectant for killing bacteria in an oxidizing bactericide, and is also the leading product in chloroisocyanuric acid. Can strongly kill various pathogenic microorganisms such as bacterial spores, bacterial propagules, fungi and the like, has a special effect of killing hepatitis viruses, and rapidly kills and strongly inhibits algae plants such as blue-green algae, red algae, seaweed and the like in systems such as circulating water, a cooling tower, a water pool and the like. Therefore, sodium dichloroisocyanurate needs to use stirring equipment in the processing process, and the operation efficiency analysis of the stirring equipment determines whether the processing quality is qualified or not.
However, in the prior art, the internal and external environment control and the stirring efficiency cannot be analyzed in the sodium dichloroisocyanurate stirring process, so that the stirring process cannot be completed in a qualified manner, and the processing quality of the sodium dichloroisocyanurate cannot be ensured.
In view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides an operation efficiency analysis system of a turnover device for processing sodium dichloroisocyanurate, which monitors the environment of the sodium dichloroisocyanurate in a turnover device during the turnover process, ensures that the internal environment of the turnover device is suitable for the production of the sodium dichloroisocyanurate, and can control the environment in time when the external environment floats, so that the working efficiency of the production of the sodium dichloroisocyanurate is improved, and the significance of the turnover of the sodium dichloroisocyanurate is ensured.
The purpose of the invention can be realized by the following technical scheme:
a turning device operating efficiency analytic system for processing of dichloro isocyanuric acid sodium, including efficiency analysis platform, efficiency analysis platform communication is connected with:
the internal and external environment control analysis unit is used for carrying out environment monitoring on sodium dichloroisocyanurate in a stirring process in stirring equipment, marking the sodium dichloroisocyanurate as an analysis object, acquiring a stirring time period of the analysis object, dividing the stirring time period into i sub-moments, wherein i is a natural number greater than 1, acquiring an environment control analysis coefficient of each sub-moment in the stirring time period, comparing and acquiring a control high-risk moment and a control low-risk moment according to the environment control analysis coefficient, analyzing and generating an equipment maintenance signal and a maintenance signal according to the control high-risk moment, and sending the equipment maintenance signal and the maintenance signal to a mobile phone terminal of a manager;
the stirring parameter analysis and detection unit is used for detecting the stirring process of an analysis object, judging whether the stirring parameters of the stirring equipment are normal or not, generating an equipment adjustment signal and an adjustment and re-execution signal through detection and analysis, and sending the equipment adjustment signal and the adjustment and re-execution signal to a mobile phone terminal of a manager;
the operation external influence analysis unit is used for analyzing the operation process of the stirring equipment, generating an unqualified external influence analysis signal and an qualified external influence analysis signal through analysis, and sending the unqualified external influence analysis signal and the qualified external influence analysis signal to the efficiency analysis platform;
and the real-time running quality analysis unit is used for analyzing the running quality of the stirring equipment, judging the running efficiency of the stirring equipment according to the quality of an analysis object, acquiring a real-time running quality analysis coefficient of the stirring equipment, comparing the real-time running quality analysis coefficient to generate a high-efficiency running signal and a low-efficiency running signal, and sending the high-efficiency running signal and the low-efficiency running signal to the efficiency analysis platform.
As a preferred embodiment of the present invention, the operation process of the internal and external environment control analysis unit is as follows:
acquiring the floating span of the internal environment humidity value at each sub-moment in the stirring time period and the floating speed of the internal environment humidity value when the external environment humidity value floats; collecting the numerical difference of the humidity values of the internal environment and the external environment at each sub-moment in the stirring time period; obtaining an environment control analysis coefficient of each sub-moment in the stirring time period through analysis; comparing the environmental control analysis coefficient of each sub-moment in the stirring time period with an environmental control analysis coefficient threshold value:
if the environmental control analysis coefficient of the sub-moment in the stirring time period exceeds the environmental control analysis coefficient threshold value, judging that the environmental control of the corresponding sub-moment is unqualified, marking the corresponding sub-moment as a control high-risk moment, generating an environmental control abnormal signal and sending the environmental control abnormal signal and the control high-risk moment to an efficiency analysis platform; and if the environmental control analysis coefficient of the sub-moment in the stirring time period does not exceed the environmental control analysis coefficient threshold, judging that the environmental control of the corresponding sub-moment is qualified, marking the corresponding sub-moment as a control low-risk moment, generating an environmental control normal signal, and sending the environmental control normal signal and the control low-risk moment to the efficiency analysis platform.
As a preferred embodiment of the invention, after receiving the environmental control abnormal signal and the high risk control moment, the efficiency analysis platform analyzes the stirring time period;
acquiring the continuous frequency of the high-risk moment and the average duration of the high-risk moment as sub time points in the stirring time period, and comparing the sub time points with a continuous frequency threshold and an average duration threshold respectively: if the sub-time point in the stirring time period is that the continuous frequency of the high-risk time exceeds the continuous frequency threshold or the average duration of the high-risk time exceeds the average duration threshold, generating an equipment maintenance signal and sending the maintenance signal to a mobile phone terminal of a manager; and if the continuous frequency of the high-risk moment is controlled not to exceed the continuous frequency threshold and the average duration of the high-risk moment is controlled not to exceed the average duration threshold at the sub-time point in the stirring time period, generating an equipment maintenance signal and sending the maintenance signal to a mobile phone terminal of a manager.
As a preferred embodiment of the present invention, the operation process of the stirring parameter analyzing and detecting unit is as follows:
analyzing the analysis object which is turned over within the turning time period, if the analysis object which is turned over is put into use, marking the corresponding turning time period as a qualified operation time period, and analyzing and acquiring the turning parameter threshold range of the turning equipment according to each qualified operation time period, wherein the turning parameters are represented as the turning amplitude and the turning frequency of the turning equipment, and the turning parameter threshold range is represented as the turning amplitude threshold range and the turning frequency threshold range;
analyzing the turning parameter and the turning parameter threshold range of the turning equipment in the current turning time period, and if the turning parameter of the turning equipment in the current turning time period is in the turning parameter threshold range, generating a turning equipment operation qualified signal and sending the turning equipment operation qualified signal to an efficiency analysis platform; and if the stirring parameter of the stirring equipment in the current stirring time period is not in the threshold range of the stirring parameter, comparing the stirring parameter with the critical value of the threshold range of the stirring parameter.
As a preferred embodiment of the present invention, the comparison process is as follows:
generating an equipment adjusting signal and sending the equipment adjusting signal to a mobile phone terminal of a manager if the corresponding difference value of the stirring parameter of the real-time stirring equipment and the critical value of the threshold range of the stirring parameter does not exceed the difference threshold; the manager sets parameters of the corresponding stirring equipment; and generating an adjusting and re-executing signal and sending the adjusting and re-executing signal to a mobile phone terminal of a manager if the corresponding difference value of the stirring parameter of the real-time stirring equipment and the critical value of the threshold range of the stirring parameter exceeds the difference threshold, and the manager re-stirs the analysis object in the corresponding stirring equipment and resets the parameter of the corresponding stirring equipment.
As a preferred embodiment of the present invention, the operation of the external influence analysis unit is as follows:
acquiring the proportion of abnormal operation time in the stirring time period and the frequency of instantaneous shutdown of the stirring equipment in the stirring time period, and respectively comparing the proportion with an abnormal time proportion threshold value and an instantaneous shutdown frequency threshold value:
if the proportion of the abnormal operation time in the stirring time period exceeds the abnormal time proportion threshold value or the frequency of the instantaneous shutdown of the stirring equipment in the stirring time period exceeds the instantaneous shutdown frequency threshold value, judging that the external influence analysis in the stirring time period is unqualified, generating an external influence analysis unqualified signal and sending the external influence analysis unqualified signal to an efficiency analysis platform; and if the proportion of the abnormal operation time in the stirring time period does not exceed the proportion threshold of the abnormal time and the frequency of the instantaneous shutdown of the stirring equipment in the stirring time period does not exceed the frequency threshold of the instantaneous shutdown, judging that the external influence analysis in the stirring time period is qualified, generating an external influence analysis qualified signal and sending the external influence analysis qualified signal to the efficiency analysis platform.
As a preferred embodiment of the present invention, the operation process of operating the quality analyzing unit in real time is as follows:
marking a time period of the stirring equipment needing to be maintained or adjusted as a risk operation time period, marking a time period except the risk operation time period in the stirring time period as a qualified operation time period, and acquiring a difference value of stirring qualified rates of analysis objects of the qualified operation time period and the risk operation time period; acquiring the buffer duration of the turning and stirring qualification rate of the analysis object converted from the reduction trend to the growth trend in the risk operation time period and the maximum floating span of the turning and stirring qualification rate of the analysis object in the qualified operation time period; acquiring a real-time operation quality analysis coefficient of the stirring equipment through analysis; comparing the real-time operation quality analysis coefficient of the stirring equipment with a real-time operation quality analysis coefficient threshold value:
if the real-time operation quality analysis coefficient of the stirring equipment exceeds the real-time operation quality analysis coefficient threshold value, judging that the operation quality analysis of the stirring equipment is qualified, generating a high-efficiency operation signal and sending the high-efficiency operation signal to an efficiency analysis platform; and if the real-time running quality analysis coefficient of the stirring equipment does not exceed the real-time running quality analysis coefficient threshold value, judging that the running quality analysis of the stirring equipment is unqualified, generating a low-efficiency running signal and sending the low-efficiency running signal to an efficiency analysis platform.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the environment monitoring is carried out on sodium dichloroisocyanurate in the stirring process in the stirring device, so that the internal environment of the stirring device is ensured to be suitable for the production of sodium dichloroisocyanurate, and the floating influence on the external environment can be timely controlled, so that the working efficiency of the production of sodium dichloroisocyanurate is improved, the significance of stirring the sodium dichloroisocyanurate is ensured, the influence on the quality of the sodium dichloroisocyanurate caused by the unreasonable control on the internal and external environments of the stirring device is prevented, and the production cost is greatly improved; detecting the stirring process of the analysis object, and judging whether the stirring parameters of the stirring equipment are normal or not so as to judge whether the stirring efficiency of the analysis object meets the requirement or not, so that the stirring processing of the analysis object is detected, and the operation efficiency of the stirring equipment is ensured;
2. according to the invention, the operation process of the stirring and turning equipment is analyzed, and the influence existing in the operation process of the equipment is judged, so that the accuracy of the analysis of the operation efficiency of the equipment is improved, the phenomenon that the stirring and turning equipment is unnecessarily maintained due to inaccurate analysis of the operation efficiency is prevented, the cost is increased, the phenomenon that an analysis object is unqualified in stirring and turning is avoided, the stirring and turning efficiency of the analysis object is improved, and the stirring and turning cost can be controlled; the operation quality of the stirring and turning equipment is analyzed, and the operation efficiency of the stirring and turning equipment is judged according to the quality of an analysis object, so that the operation efficiency of the stirring and turning equipment is analyzed more accurately, meanwhile, targeted equipment scheduling can be performed according to real-time operation quality analysis, equipment with quality risk is maintained, the stirring and turning quantity required currently can be qualified, and the production abrasion quantity of the analysis object is reduced.
Drawings
In order 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 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 can be combined with other embodiments.
Referring to fig. 1, the system for analyzing the operation efficiency of the turning device for processing sodium dichloroisocyanurate comprises an efficiency analysis platform, wherein the efficiency analysis platform is in communication connection with an internal and external environment control analysis unit, a stirring parameter analysis and detection unit, an operation external influence analysis unit and a real-time operation quality analysis unit, and the efficiency analysis platform is in bidirectional communication connection with the internal and external environment control analysis unit, the stirring parameter analysis and detection unit, the operation external influence analysis unit and the real-time operation quality analysis unit;
during the sodium dichloroisocyanurate processing process, the sodium dichloroisocyanurate needs to be stirred in a stirring mode to ensure the dryness of the sodium dichloroisocyanurate and prevent the insufficient dispersion of powder, so that when the sodium dichloroisocyanurate is stirred in the stirring mode, the qualification of the sodium dichloroisocyanurate in the stirring device needs to be ensured, the sodium dichloroisocyanurate cannot be abnormal in the stirring device due to the environment, namely, an efficiency analysis platform generates an internal and external environment control analysis signal and sends the internal and external environment control analysis signal to an internal and external environment control analysis unit, the internal and external environment control analysis unit carries out environment monitoring in the stirring process of the sodium dichloroisocyanurate in the stirring device after receiving the internal and external environment control analysis signal, the internal environment of the stirring device is suitable for the production of the sodium dichloroisocyanurate, and meanwhile, the internal and external environment floating influence can be timely controlled, so that the working efficiency of the sodium dichloroisocyanurate production is improved, the significance of the sodium dichloroisocyanurate stirring is ensured, and the influence on the quality of the sodium dichloroisocyanurate caused by the unreasonable internal and external environment control of the stirring device is prevented, and the production cost is greatly improved;
marking sodium dichloroisocyanurate as an analysis object, acquiring a turning and stirring time period of the analysis object, dividing the turning and stirring time period into i sub-moments, wherein i is a natural number greater than 1, acquiring the floating span of the internal environment humidity value of each sub-moment in the turning and stirring time period and the floating speed of the internal environment humidity value when the external environment humidity value floats, and respectively marking the floating span of the internal environment humidity value of each sub-moment in the turning and stirring time period and the floating speed of the internal environment humidity value when the external environment humidity value floats as FDKi and FDVi; collecting the numerical difference value of the external environment humidity value at each sub-moment in the stirring time period, and marking the numerical difference value of the external environment humidity value at each sub-moment in the stirring time period as SDCI;
by the formula
Acquiring an environment control analysis coefficient Xi of each sub-moment in the stirring time period, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is larger than a2 and larger than a3 and larger than 0, and beta is an error correction factor and takes the value of 0.976;
comparing the environmental control analysis coefficient Xi of each sub-moment in the stirring time period with an environmental control analysis coefficient threshold value:
if the environmental control analysis coefficient Xi of the sub-moment in the stirring time period exceeds the environmental control analysis coefficient threshold, judging that the environmental control of the corresponding sub-moment is unqualified, marking the corresponding sub-moment as a control high-risk moment, generating an environmental control abnormal signal and sending the environmental control abnormal signal and the control high-risk moment to an efficiency analysis platform; if the environmental control analysis coefficient Xi of the sub-moment in the stirring time period does not exceed the environmental control analysis coefficient threshold, judging that the environmental control of the corresponding sub-moment is qualified, marking the corresponding sub-moment as a control low-risk moment, generating an environmental control normal signal, and sending the environmental control normal signal and the control low-risk moment to an efficiency analysis platform;
after receiving the environment control abnormal signal and controlling the high risk moment, the efficiency analysis platform analyzes the stirring time period, acquires the continuous frequency of the sub time point in the stirring time period as the control high risk moment and the average duration of the control high risk moment, and compares the continuous frequency of the sub time point in the stirring time period as the control high risk moment and the average duration of the control high risk moment with a continuous frequency threshold and an average duration threshold respectively:
if the sub-time point in the stirring time period is that the continuous frequency of the high-risk moment is controlled to exceed the continuous frequency threshold or the average duration of the high-risk moment is controlled to exceed the average duration threshold, generating an equipment maintenance signal and sending the maintenance signal to a mobile phone terminal of a manager, and the manager maintains the corresponding stirring equipment;
if the continuous frequency of the high-risk moment is controlled not to exceed the continuous frequency threshold value and the average duration of the high-risk moment is controlled not to exceed the average duration threshold value, generating an equipment maintenance signal and sending the maintenance signal to a mobile phone terminal of a manager, controlling the operation of the corresponding stirring equipment by the manager, reducing the working intensity of the stirring equipment and maintaining the stirring equipment in the period;
the efficiency analysis platform generates a stirring parameter analysis detection signal and sends the stirring parameter analysis detection signal to the stirring parameter analysis detection unit, and the stirring parameter analysis detection unit detects the stirring process of an analysis object after receiving the stirring parameter analysis detection signal and judges whether the stirring parameters of the stirring equipment are normal or not, so that whether the stirring efficiency of the analysis object meets the requirement or not is judged, the stirring processing of the analysis object is detected, and the operation efficiency of the stirring equipment is ensured;
analyzing the analysis object which is turned over within the turning time period, if the analysis object which is turned over is put into use, marking the corresponding turning time period as a qualified operation time period, and analyzing and acquiring the turning parameter threshold range of the turning equipment according to each qualified operation time period, wherein the turning parameters are represented as the turning amplitude and the turning frequency of the turning equipment, and the turning parameter threshold range is represented as the turning amplitude threshold range and the turning frequency threshold range;
analyzing the turning parameter and the turning parameter threshold range of the turning equipment in the current turning time period, and if the turning parameter of the turning equipment in the current turning time period is in the turning parameter threshold range, generating a turning equipment operation qualified signal and sending the turning equipment operation qualified signal to an efficiency analysis platform; if the stirring parameter of the stirring equipment in the current stirring time period is not in the threshold range of the stirring parameter, comparing the stirring parameter with the critical value of the threshold range of the stirring parameter:
if the difference value between the stirring parameter of the real-time stirring equipment and the critical value of the threshold range of the stirring parameter does not exceed the difference value threshold, generating an equipment adjusting signal and sending the equipment adjusting signal to a mobile phone terminal of a manager; the manager sets parameters of the corresponding stirring equipment; if the difference value corresponding to the critical value of the threshold range of the stirring parameter and the stirring parameter of the real-time stirring equipment exceeds the difference value threshold, generating an adjusting and re-executing signal and sending the adjusting and re-executing signal to a mobile phone terminal of a manager, and the manager re-stirs the analysis object in the corresponding stirring equipment and re-sets the parameters of the corresponding stirring equipment;
the efficiency analysis platform generates operation external influence analysis signals and sends the operation external influence analysis signals to the operation external influence analysis unit, and the operation external influence analysis unit analyzes the operation process of the stirring equipment after receiving the operation external influence analysis signals and judges the influence in the operation process of the equipment, so that the accuracy of the operation efficiency analysis of the equipment is improved, the stirring equipment is prevented from being unnecessarily maintained due to inaccurate operation efficiency analysis, the cost is prevented from being increased, the phenomenon that an analysis object is unqualified in stirring can be avoided, the stirring efficiency of the analysis object is improved, and the stirring cost can be controlled;
acquiring the proportion of abnormal operation time in the stirring time period and the frequency of instantaneous running halt of the stirring equipment in the stirring time period, and respectively comparing the proportion of the abnormal operation time in the stirring time period and the frequency of the instantaneous running halt of the stirring equipment in the stirring time period with an abnormal time proportion threshold value and an instantaneous halt frequency threshold value: the abnormal operation time refers to a time period without an order, a material waiting time period, a power failure time period and the like in the stirring process, and the instantaneous shutdown refers to the condition that no analysis object performs equipment operation after the stirring equipment is started and the stirring equipment is shut down;
if the proportion of the abnormal operation time in the stirring time period exceeds the abnormal time proportion threshold value or the frequency of the instantaneous shutdown of the stirring equipment in the stirring time period exceeds the instantaneous shutdown frequency threshold value, judging that the external influence analysis in the stirring time period is unqualified, generating an external influence analysis unqualified signal and sending the external influence analysis unqualified signal to an efficiency analysis platform; after receiving the unqualified external influence analysis signal, the efficiency analysis platform generates an influence control signal and sends the influence control signal to a mobile phone terminal of a manager, and the manager performs qualified scheduling on the operation of the stirring and turning equipment after receiving the influence control signal, so that the operation efficiency of the stirring and turning equipment is ensured, and the utilization rate of the operation time of the stirring and turning equipment is improved;
if the proportion of the abnormal operation time in the stirring time period does not exceed the proportion threshold of the abnormal time and the frequency of the instantaneous shutdown of the stirring equipment in the stirring time period does not exceed the frequency threshold of the instantaneous shutdown, judging that the external influence analysis in the stirring time period is qualified, generating an external influence analysis qualified signal and sending the external influence analysis qualified signal to an efficiency analysis platform; the operation efficiency of the turnover equipment can be more accurately analyzed through external influence analysis;
the efficiency analysis platform generates a real-time operation quality analysis signal and sends the real-time operation quality analysis signal to the real-time operation quality analysis unit, the real-time operation quality analysis unit analyzes the operation quality of the stirring equipment after receiving the real-time operation quality analysis signal, and judges the operation efficiency of the stirring equipment according to the quality of an analysis object, so that the operation efficiency of the stirring equipment is more accurately analyzed, meanwhile, targeted equipment scheduling can be carried out according to the real-time operation quality analysis, equipment with quality risk is maintained, the stirring quantity required to be stirred at present can be qualified to complete stirring, and the production abrasion quantity of the analysis object is reduced;
marking a time period needing to be overhauled or adjusted of the stirring equipment as a risk operation time period, marking a time period except the risk operation time period in the stirring time period as a qualified operation time period, acquiring a difference value of stirring qualification rates of an analysis object in the qualified operation time period and the risk operation time period, and marking the difference value of the stirring qualification rates of the analysis object in the qualified operation time period and the risk operation time period as CZ; acquiring the buffer duration of the turning-mixing qualification rate of the analysis object in the risk operation time period from a decreasing trend to an increasing trend and the maximum floating span of the turning-mixing qualification rate of the analysis object in the qualified operation time period, and respectively marking the buffer duration of the turning-mixing qualification rate of the analysis object in the risk operation time period from the decreasing trend to the increasing trend and the maximum floating span of the turning-mixing qualification rate of the analysis object in the qualified operation time period as HC and KD;
by the formula
Acquiring a real-time operation quality analysis coefficient S of the stirring equipment, wherein f1, f2 and f3 are preset proportionality coefficients, f1 is larger than f2 and larger than f3 and larger than 0, alpha is an error correction factor, when an efficiency analysis platform receives an unqualified external influence analysis signal, the value is 1.1, and when an efficiency analysis platform receives a qualified external influence analysis signal, the value is 0.9;
comparing the real-time operation quality analysis coefficient S of the stirring equipment with a real-time operation quality analysis coefficient threshold value:
if the real-time operation quality analysis coefficient S of the stirring equipment exceeds the real-time operation quality analysis coefficient threshold value, judging that the operation quality analysis of the stirring equipment is qualified, generating a high-efficiency operation signal and sending the high-efficiency operation signal to an efficiency analysis platform; if the real-time running quality analysis coefficient S of the stirring equipment does not exceed the real-time running quality analysis coefficient threshold, judging that the running quality analysis of the stirring equipment is unqualified, generating a low-efficiency running signal and sending the low-efficiency running signal to an efficiency analysis platform; the efficiency analysis platform transfers the efficiency analysis platform to a mobile phone terminal of a manager, the manager adjusts quality analysis parameters of the stirring equipment, and the quality analysis parameters are represented as a difference value of stirring qualification rates of analysis objects in a qualified operation time period and a risk operation time period, a buffer duration for converting the stirring qualification rate of the analysis objects from a reduction trend to an increase trend in the risk operation time period, and a maximum floating span of the stirring qualification rate of the analysis objects in the qualified operation time period;
the formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the environment control and analysis system is used, sodium dichloroisocyanurate is subjected to environment monitoring in a stirring process in stirring equipment through the internal and external environment control and analysis unit, the sodium dichloroisocyanurate is marked as an analysis object, a stirring time period of the analysis object is obtained, the stirring time period is divided into i sub-moments, i is a natural number greater than 1, the environment control and analysis coefficient of each sub-moment in the stirring time period is obtained, a control high-risk moment and a control low-risk moment are obtained according to the environment control and analysis coefficient, an equipment maintenance signal and a maintenance signal are generated according to the control high-risk moment and are sent to a mobile phone terminal of a manager; detecting the stirring process of an analysis object through a stirring parameter analysis and detection unit, judging whether stirring parameters of stirring equipment are normal or not, generating an equipment adjustment signal and an adjustment and re-execution signal through detection and analysis, and sending the equipment adjustment signal and the adjustment and re-execution signal to a mobile phone terminal of a manager; analyzing the operation process of the stirring equipment by operating an external influence analysis unit, generating an unqualified external influence analysis signal and an qualified external influence analysis signal by analyzing, and sending the unqualified external influence analysis signal and the qualified external influence analysis signal to an efficiency analysis platform; the operation quality of the stirring equipment is analyzed through the real-time operation quality analysis unit, the operation efficiency of the stirring equipment is judged according to the quality of an analysis object, the real-time operation quality analysis coefficient of the stirring equipment is obtained, a high-efficiency operation signal and a low-efficiency operation signal are generated according to the comparison of the real-time operation quality analysis coefficient, and the high-efficiency operation signal and the low-efficiency operation signal are sent to the efficiency analysis platform.
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 utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (1)
1. A turning device operating efficiency analytic system for processing of dichloro isocyanuric acid sodium, its characterized in that, including efficiency analysis platform, efficiency analysis platform communication is connected with:
the internal and external environment control analysis unit is used for carrying out environment monitoring on sodium dichloroisocyanurate in a stirring process in stirring equipment, marking the sodium dichloroisocyanurate as an analysis object, acquiring a stirring time period of the analysis object, dividing the stirring time period into i sub-moments, wherein i is a natural number greater than 1, acquiring an environment control analysis coefficient of each sub-moment in the stirring time period, comparing and acquiring a control high-risk moment and a control low-risk moment according to the environment control analysis coefficient, analyzing and generating an equipment maintenance signal and a maintenance signal according to the control high-risk moment, and sending the equipment maintenance signal and the maintenance signal to a mobile phone terminal of a manager;
the stirring parameter analysis and detection unit is used for detecting the stirring process of an analysis object, judging whether the stirring parameters of the stirring equipment are normal or not, generating an equipment adjustment signal and an adjustment and re-execution signal through detection and analysis, and sending the equipment adjustment signal and the adjustment and re-execution signal to a mobile phone terminal of a manager;
the operation external influence analysis unit is used for analyzing the operation process of the stirring equipment, generating an unqualified external influence analysis signal and an qualified external influence analysis signal through analysis, and sending the unqualified external influence analysis signal and the qualified external influence analysis signal to the efficiency analysis platform;
the real-time operation quality analysis unit is used for analyzing the operation quality of the stirring equipment, judging the operation efficiency of the stirring equipment according to the quality of an analysis object, acquiring a real-time operation quality analysis coefficient of the stirring equipment, comparing the real-time operation quality analysis coefficient to generate a high-efficiency operation signal and a low-efficiency operation signal, and sending the high-efficiency operation signal and the low-efficiency operation signal to the efficiency analysis platform;
the operation process of the internal and external environment control analysis unit is as follows:
collecting the floating span of the internal environment humidity value at each sub-moment in the turning and mixing time period and the floating speed of the internal environment humidity value when the external environment humidity value floats, and respectively marking the floating span of the internal environment humidity value at each sub-moment in the turning and mixing time period and the floating speed of the internal environment humidity value when the external environment humidity value floats as FDKi and FDVi; collecting the numerical difference value of the external environment humidity value at each sub-moment in the stirring time period, and marking the numerical difference value of the external environment humidity value at each sub-moment in the stirring time period as SDCI;
by the formula
Acquiring an environment control analysis coefficient Xi of each sub-moment in the stirring time period, wherein a1, a2 and a3 are preset proportionality coefficients, a1 is larger than a2 and larger than a3 and larger than 0, and beta is an error correction factor and takes the value of 0.976; comparing the environmental control analysis coefficient of each sub-moment in the stirring time period with an environmental control analysis coefficient threshold value:
if the environmental control analysis coefficient of the sub-moment in the stirring time period exceeds the environmental control analysis coefficient threshold value, judging that the environmental control of the corresponding sub-moment is unqualified, marking the corresponding sub-moment as a control high-risk moment, generating an environmental control abnormal signal and sending the environmental control abnormal signal and the control high-risk moment to an efficiency analysis platform; if the environmental control analysis coefficient of the sub-moment in the stirring time period does not exceed the environmental control analysis coefficient threshold, judging that the environmental control of the corresponding sub-moment is qualified, marking the corresponding sub-moment as a control low-risk moment, generating an environmental control normal signal, and sending the environmental control normal signal and the control low-risk moment to an efficiency analysis platform;
after the efficiency analysis platform receives the environment control abnormal signal and controls the high risk moment, analyzing the stirring time period;
acquiring the continuous frequency of the high-risk moment and the average duration of the high-risk moment as sub-time points in the stirring time period, and comparing the sub-time points with a continuous frequency threshold and an average duration threshold respectively: if the sub-time point in the stirring time period is that the continuous frequency of the high-risk time exceeds the continuous frequency threshold or the average duration of the high-risk time exceeds the average duration threshold, generating an equipment maintenance signal and sending the maintenance signal to a mobile phone terminal of a manager; if the continuous frequency of the high risk moment is controlled not to exceed the continuous frequency threshold value and the average duration of the high risk moment is controlled not to exceed the average duration threshold value, generating an equipment maintenance signal and sending the maintenance signal to a mobile phone terminal of a manager;
the operation process of the stirring parameter analysis and detection unit is as follows:
analyzing the analysis object which is turned over within the turning time period, if the analysis object which is turned over is put into use, marking the corresponding turning time period as a qualified operation time period, and analyzing and acquiring the turning parameter threshold range of the turning equipment according to each qualified operation time period, wherein the turning parameters are represented as the turning amplitude and the turning frequency of the turning equipment, and the turning parameter threshold range is represented as the turning amplitude threshold range and the turning frequency threshold range;
analyzing the turning parameters and the threshold range of the turning parameters of the turning equipment in the current turning time period, and if the turning parameters of the turning equipment in the current turning time period are in the threshold range of the turning parameters, generating qualified running signals of the turning equipment and sending the qualified running signals of the turning equipment to an efficiency analysis platform; if the stirring parameter of the stirring equipment in the current stirring time period is not in the threshold range of the stirring parameter, comparing the stirring parameter with the critical value of the threshold range of the stirring parameter;
the comparison process is as follows:
generating an equipment adjusting signal and sending the equipment adjusting signal to a mobile phone terminal of a manager if the corresponding difference value of the stirring parameter of the real-time stirring equipment and the critical value of the threshold range of the stirring parameter does not exceed the difference threshold; the manager sets parameters of the corresponding stirring equipment; if the difference value corresponding to the critical value of the threshold range of the stirring parameter and the stirring parameter of the real-time stirring equipment exceeds the difference value threshold, generating an adjusting and re-executing signal and sending the adjusting and re-executing signal to a mobile phone terminal of a manager, and the manager re-stirs the analysis object in the corresponding stirring equipment and re-sets the parameters of the corresponding stirring equipment;
the operation of the external influence analysis unit is as follows:
acquiring the proportion of abnormal operation time in the stirring time period and the frequency of instantaneous shutdown of the stirring equipment in the stirring time period, and respectively comparing the proportion with an abnormal time proportion threshold value and an instantaneous shutdown frequency threshold value:
if the proportion of the abnormal operation time in the stirring time period exceeds the abnormal time proportion threshold value or the frequency of the instantaneous shutdown of the stirring equipment in the stirring time period exceeds the instantaneous shutdown frequency threshold value, judging that the external influence analysis in the stirring time period is unqualified, generating an external influence analysis unqualified signal and sending the external influence analysis unqualified signal to an efficiency analysis platform; if the proportion of the abnormal operation time in the stirring time period does not exceed the proportion threshold of the abnormal time and the frequency of the instantaneous stop of the stirring equipment in the stirring time period does not exceed the frequency threshold of the instantaneous stop, judging that the analysis of the external influence in the stirring time period is qualified, generating an external influence analysis qualified signal and sending the external influence analysis qualified signal to an efficiency analysis platform;
the operation process of the real-time operation quality analysis unit is as follows:
marking a time period needing to be overhauled or adjusted of the stirring equipment as a risk operation time period, marking a time period except the risk operation time period in the stirring time period as a qualified operation time period, acquiring a difference value of stirring qualification rates of an analysis object in the qualified operation time period and the risk operation time period, and marking the difference value of the stirring qualification rates of the analysis object in the qualified operation time period and the risk operation time period as CZ; collecting the buffer duration of the turning and stirring qualification rate of the analysis object in the risk operation time period from the reduction trend to the growth trend and the maximum floating span of the turning and stirring qualification rate of the analysis object in the qualified operation time period, and respectively marking the buffer duration of the turning and stirring qualification rate of the analysis object in the risk operation time period from the reduction trend to the growth trend and the maximum floating span of the turning and stirring qualification rate of the analysis object in the qualified operation time period as HC and KD;
by the formula
Acquiring a real-time operation quality analysis coefficient S of the stirring equipment, wherein f1, f2 and f3 are preset proportionality coefficients, f1 is larger than f2 and larger than f3 and larger than 0, alpha is an error correction factor, when an efficiency analysis platform receives an unqualified external influence analysis signal, the value is 1.1, and when an efficiency analysis platform receives a qualified external influence analysis signal, the value is 0.9;
comparing the real-time operation quality analysis coefficient of the stirring equipment with a real-time operation quality analysis coefficient threshold value:
if the real-time operation quality analysis coefficient of the stirring equipment exceeds the real-time operation quality analysis coefficient threshold value, judging that the operation quality analysis of the stirring equipment is qualified, generating a high-efficiency operation signal and sending the high-efficiency operation signal to an efficiency analysis platform; and if the real-time running quality analysis coefficient of the stirring equipment does not exceed the real-time running quality analysis coefficient threshold, judging that the running quality analysis of the stirring equipment is unqualified, generating a low-efficiency running signal and sending the low-efficiency running signal to an efficiency analysis platform.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN208239289U (en) * | 2018-05-18 | 2018-12-14 | 扬州佳境环境科技股份有限公司 | A kind of in-line analyzer filtration system with automatic cleaning function |
| CN110355885A (en) * | 2019-08-14 | 2019-10-22 | 湖南煜智工程机械有限公司 | Stir station control system and method |
| CN112794753A (en) * | 2021-01-29 | 2021-05-14 | 伊川县宇鹏养殖有限公司 | Operation method of production line for processing farmyard manure from cattle manure in pens |
| WO2021212756A1 (en) * | 2020-04-23 | 2021-10-28 | 平安科技（深圳）有限公司 | Index anomaly analysis method and apparatus, and electronic device and storage medium |
| CN114123512A (en) * | 2021-12-01 | 2022-03-01 | 山东汇能电气有限公司 | High tension switchgear remote control system based on it is intelligent |
| CN114326594A (en) * | 2021-12-30 | 2022-04-12 | 苏州科腾软件开发有限公司 | Machine tool performance evaluation system based on machine tool data and evaluation method thereof |
| CN114911209A (en) * | 2022-07-18 | 2022-08-16 | 巨野恒丰果蔬有限公司 | Garlic processing wastewater treatment management system based on data analysis |
| CN115098341A (en) * | 2022-07-26 | 2022-09-23 | 深圳日晨物联科技有限公司 | Intelligent monitoring system for real-time running environment of chip based on cloud computing |
| CN115130702A (en) * | 2022-09-02 | 2022-09-30 | 山东汇泓纺织科技有限公司 | Textile machine fault prediction system based on big data analysis |
| CN115204426A (en) * | 2022-09-14 | 2022-10-18 | 山东汇泓纺织科技有限公司 | Textile production line operation supervision system based on Internet of things |
| CN115313660A (en) * | 2022-09-05 | 2022-11-08 | 国网青海省电力公司超高压公司 | Intelligent operation and inspection system and method for transformer substation |
| CN115330090A (en) * | 2022-10-12 | 2022-11-11 | 江苏航运职业技术学院 | Intelligent building system prediction influence parameter analysis system |
| CN115345526A (en) * | 2022-10-18 | 2022-11-15 | 山东鲁通祥装饰科技有限公司 | Decoration project progress supervision system based on data analysis |
| CN115420501A (en) * | 2022-11-04 | 2022-12-02 | 山东驰勤机械有限公司 | Gearbox running management and control system based on artificial intelligence |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10047956B2 (en) * | 2014-10-22 | 2018-08-14 | Honeywell International Inc. | Monitoring efficiency and operational mode changes of combustion equipment |
-
2022
- 2022-12-15 CN CN202211609679.5A patent/CN115597902B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN208239289U (en) * | 2018-05-18 | 2018-12-14 | 扬州佳境环境科技股份有限公司 | A kind of in-line analyzer filtration system with automatic cleaning function |
| CN110355885A (en) * | 2019-08-14 | 2019-10-22 | 湖南煜智工程机械有限公司 | Stir station control system and method |
| WO2021212756A1 (en) * | 2020-04-23 | 2021-10-28 | 平安科技（深圳）有限公司 | Index anomaly analysis method and apparatus, and electronic device and storage medium |
| CN112794753A (en) * | 2021-01-29 | 2021-05-14 | 伊川县宇鹏养殖有限公司 | Operation method of production line for processing farmyard manure from cattle manure in pens |
| CN114123512A (en) * | 2021-12-01 | 2022-03-01 | 山东汇能电气有限公司 | High tension switchgear remote control system based on it is intelligent |
| CN114326594A (en) * | 2021-12-30 | 2022-04-12 | 苏州科腾软件开发有限公司 | Machine tool performance evaluation system based on machine tool data and evaluation method thereof |
| CN114911209A (en) * | 2022-07-18 | 2022-08-16 | 巨野恒丰果蔬有限公司 | Garlic processing wastewater treatment management system based on data analysis |
| CN115098341A (en) * | 2022-07-26 | 2022-09-23 | 深圳日晨物联科技有限公司 | Intelligent monitoring system for real-time running environment of chip based on cloud computing |
| CN115130702A (en) * | 2022-09-02 | 2022-09-30 | 山东汇泓纺织科技有限公司 | Textile machine fault prediction system based on big data analysis |
| CN115313660A (en) * | 2022-09-05 | 2022-11-08 | 国网青海省电力公司超高压公司 | Intelligent operation and inspection system and method for transformer substation |
| CN115204426A (en) * | 2022-09-14 | 2022-10-18 | 山东汇泓纺织科技有限公司 | Textile production line operation supervision system based on Internet of things |
| CN115330090A (en) * | 2022-10-12 | 2022-11-11 | 江苏航运职业技术学院 | Intelligent building system prediction influence parameter analysis system |
| CN115345526A (en) * | 2022-10-18 | 2022-11-15 | 山东鲁通祥装饰科技有限公司 | Decoration project progress supervision system based on data analysis |
| CN115420501A (en) * | 2022-11-04 | 2022-12-02 | 山东驰勤机械有限公司 | Gearbox running management and control system based on artificial intelligence |
Non-Patent Citations (2)
| Title |
|---|
| 孙国豪 ; 鹿剑 ; 马斌良 ; 庄法坤 ; 李建宏 ; 谢国山 ; 曹逻炜 ; 葛良 ; .石化装置静设备动态风险计算方法浅析.中国特种设备安全.2017,(第04期),全文. * |
| 盛万兴 ; 陈海 ; 王军 ; 刘伟 ; 马丽 ; 苏剑 ; 苑帅 ; .基于负荷持续曲线的配电网运行效率评价.电网技术.2016,(第04期),全文. * |
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