CN113125321A - On-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination - Google Patents
On-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination Download PDFInfo
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Abstract
The invention discloses an on-line monitoring system for supercooled water flow ice condensation nucleus detection and automatic elimination, which relates to the technical field of condensation nucleus detection and automatic elimination and solves the technical problem that the detection accuracy of condensation nucleus content is reduced because environment cannot be detected in the prior art; the influence of the environment on the content of the condensation nuclei in the fluid ice is judged by monitoring the environment, so that the detection accuracy of the condensation nuclei is improved, and the influence of the environment on the content of the condensation nuclei is reduced.
Description
Technical Field
The invention relates to the technical field of condensation nucleus detection and automatic elimination, in particular to an on-line monitoring system for detecting and automatically eliminating condensation nuclei of supercooled water fluid ice.
Background
The fluid ice is usually a multi-component mixture consisting of ice crystal particles with the diameter less than 1mm and water or hydrates mixed with freezing point regulators, because the ice crystal particles are tiny, the heat exchange surface area is greatly increased, the complete flow heat exchange is realized in the ice making process, and the problem of thermal resistance of an ice layer on a solid heat transfer surface does not exist, the ice making efficiency is greatly improved, and because the fluid ice has a plurality of excellent characteristics of huge phase change latent heat, good flow performance, environmental protection and the like, the fluid ice is widely applied to the field of cold storage at present;
in the prior art, when the condensation nucleus content in the fluid ice is detected, the environment cannot be detected, so that the detection accuracy of the condensation nucleus content is reduced;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide an on-line monitoring system for detecting and automatically eliminating condensed nucleus of supercooled water fluid ice, which analyzes the surrounding environment of the fluid ice through an environment analysis unit, thereby calculating the environmental influence threshold of the environment on the fluid ice, acquiring the condensed nucleus quantity of the fluid ice at each time node in a monitoring time threshold, marking the condensed nucleus quantity corresponding to the time node in the monitoring time threshold on a rectangular coordinate system, connecting points on a rectangular coordinate in a time period needing to be analyzed, marking the constructed curve as a condensed nucleus curve needing to be analyzed, acquiring the curve of an environment humidity value on the rectangular coordinate system and marking the curve as a humidity comparison curve; the influence of the environment on the content of the condensation nuclei in the fluid ice is judged by monitoring the environment, so that the detection accuracy of the condensation nuclei is improved, and the influence of the environment on the content of the condensation nuclei is reduced.
The purpose of the invention can be realized by the following technical scheme:
an on-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination comprises a registration login unit, a database, an environment analysis unit, a parameter monitoring unit, a quantity monitoring unit and a cloud monitoring platform;
the environment analysis unit is used for analyzing the surrounding environment of the fluid ice so as to calculate the environmental influence threshold of the environment on the fluid ice, and the specific analysis process is as follows:
step S1: obtaining unused fluid ice, marking the unused fluid ice as fluid ice to be detected, and setting the label as A, wherein the unused fluid ice is the fluid ice which is produced by a fluid ice making machine and is not used;
step S2: setting a monitoring time threshold as a day, dividing the monitoring time threshold into a plurality of time periods i, i =1, 2, … …, 24 in units of each hour, and marking the integral time between two adjacent time periods as a time node;
step S3: marking the number of fluid ice condensation nuclei to be detected as NC, acquiring the number of condensation nuclei of each time node of the fluid ice within a monitoring time threshold, establishing a rectangular coordinate system by taking the monitoring time threshold as an X axis and the number of the fluid ice condensation nuclei to be detected as a Y axis, marking the number of the condensation nuclei corresponding to the time node within the monitoring time threshold on the rectangular coordinate system, and marking the corresponding marked point as a condensation nuclei number node;
step S4: comparing the number corresponding to the condensation nucleus number nodes, if the number of the condensation nuclei corresponding to the adjacent time nodes is larger than or equal to the condensation nucleus number difference threshold, marking the time periods corresponding to the adjacent time nodes as time periods needing to be analyzed, otherwise, not marking any time period;
step S5: dividing the time period to be analyzed at intervals of ten minutes, marking the number of the condensation cores corresponding to each ten-minute time point in the time period to be analyzed, connecting the points on a rectangular coordinate in the time period to be analyzed, and marking the constructed curve as a curve to be analyzed for the condensation cores;
step S6: acquiring environment humidity values corresponding to all ten-minute time points between two time nodes in a time period to be analyzed and including the environment humidity values corresponding to the two time nodes, acquiring an environment humidity value difference value in the time period to be analyzed and constructing a humidity value set, acquiring an average value of subsets in the humidity value set, marking the average value as a humidity influence threshold value, and setting a label P;
step S7: constructing a rectangular coordinate system, simultaneously acquiring a curve of the environment humidity value on the rectangular coordinate system, marking the curve as a humidity comparison curve, carrying out relation comparison on the humidity comparison curve and a condensation nucleus analysis required curve, and if the humidity comparison curve is an ascending curve and the condensation nucleus analysis required curve is a descending curve, judging that the humidity is inversely proportional to the condensation nucleus, and determining that the humidity influence threshold is negative; if the humidity comparison curve is an ascending curve, the condensation nucleus analysis curve is an ascending curve or the humidity comparison curve is a descending curve, and the condensation nucleus analysis curve is a descending curve, the humidity is judged to be in direct proportion to the condensation nucleus, and the humidity influence threshold is positive.
Further, the parameter monitoring unit is used for monitoring parameters of the fluid ice, so as to calculate a parameter influence threshold of the fluid ice parameters on the condensation nucleus, and the specific monitoring process is as follows:
step SS 1: acquiring a time period needing to be analyzed in a monitoring time threshold, marking the time period needing to be analyzed as k, k =1, 2, … … and 23, and marking the rest time periods in the monitoring time threshold as non-analysis time periods j, j = 23-k;
step SS 2: obtaining the flow speed and the maximum temperature floating value of the fluid ice in the time period to be analyzed, respectively marking the flow speed and the maximum temperature floating value of the fluid ice in the time period to be analyzed as LDk and WDk, and respectively adopting a formula
Acquiring a flow state ice parameter coefficient Xk of a time period needing to be analyzed, wherein a1 and a2 are proportional coefficients, a1 is larger than a2 is larger than 0, and beta 1 is an error correction factor and takes a value of 1.23;
step SS 3: acquiring the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period, respectively marking the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period as LDj and WDj, and obtaining the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period through a formula
Acquiring a flow state ice parameter coefficient Xj of a non-analysis time period, wherein a3 and a4 are proportional coefficients, a3 is larger than a4 is larger than 0, and beta 2 is an error correction factor and takes a value of 1.53;
step SS 4: acquiring fluid ice parameter coefficients of all time periods needing analysis, calculating and acquiring an average value of the fluid ice parameter coefficients in the time periods needing analysis through the average value, marking the average value as M, acquiring the fluid ice parameter coefficients of all time periods not needing analysis, calculating and acquiring the average value of the fluid ice parameter coefficients in the time periods not needing analysis through the average value, and marking the average value as H;
step SS 5: and calculating the difference value of the flow state ice parameter coefficient average value M in the time period to be analyzed and the flow state ice parameter coefficient H in the non-analysis time period, and marking the difference value as a flow state ice parameter influence threshold value after taking the absolute value of the difference value.
Further, the quantity monitoring unit is used for monitoring the quantity of condensation nuclei in the fluidized ice, and the specific monitoring process is as follows:
step T1: selecting a pipeline, arranging an outlet and an inlet on one side surface of the pipeline, arranging a pressurizing port and a pressure relief port on the other side of the pipeline, and arranging a fluorescent lamp and a photographing terminal at two ends of the pipeline respectively;
step T2: conveying wet air into the pipeline through a pressurizing port, acquiring a pressure value in the pipeline in real time, extracting samples from the fluid ice to be detected, marking the extracted fluid ice to be detected as quantity monitoring samples, conveying the quantity monitoring samples into the pipeline from an inlet, closing an outlet of the pipeline, and acquiring the flow speed of the fluid ice in the pipeline in real time;
step T3: then, arranging a fluorescent lamp at one end of the pipeline, turning on the fluorescent lamp when the fluid ice to be detected flows in the pipeline, then arranging a camera at the other end of the pipeline, acquiring images of the fluid ice to be detected through the camera, repeatedly acquiring the images, and marking the images as monitoring images;
step T4: acquiring the number of dark points in all monitored images, sequencing the number of the dark points in all the monitored images from large to small according to numerical values, marking the number of the dark points with the first sequencing as the number of condensation nuclei, generating a clearing signal and sending the clearing signal to a mobile phone terminal of a monitoring person if the number of the condensation nuclei is more than or equal to a threshold value of the number of the condensation nuclei, and generating a normal signal and sending the normal signal to a mobile phone terminal of a manager if the number of the condensation nuclei is less than the threshold value of the number of the condensation nuclei.
Further, the registration login unit is used for the manager and the monitoring personnel to submit the manager information and the monitoring personnel information through the mobile phone terminals for registration, and data storage is carried out on the manager information and the monitoring personnel information which are successfully registered, the manager information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the manager, and the monitoring personnel information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the monitoring personnel.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the surrounding environment of the fluid ice is analyzed through an environment analysis unit, so that the environmental influence threshold of the environment on the fluid ice is calculated, the number of condensation nuclei of the fluid ice at each time node in a monitoring time threshold is obtained, the number of the condensation nuclei corresponding to the time node in the monitoring time threshold is marked on a rectangular coordinate system, points on the rectangular coordinate in a time period needing to be analyzed are connected, a constructed curve is marked as a condensation nuclei needing analysis curve, and a curve of an environmental humidity value on the rectangular coordinate system is obtained and marked as a humidity comparison curve; the influence of the environment on the content of the condensed nuclei in the fluid ice is judged by monitoring the environment, so that the detection accuracy of the condensed nuclei is improved, and the influence of the environment on the content of the condensed nuclei is reduced;
2. according to the invention, parameters of the flow state ice are monitored by the parameter monitoring unit, so that a parameter influence threshold of the flow state ice parameters on the condensation nucleus is calculated, internal parameters of the flow state ice are detected and analyzed, the flow speed and the maximum temperature floating value of the flow state ice in a time period needing to be analyzed are obtained, the flow speed and the maximum temperature floating value of the flow state ice in a non-analysis time period are obtained, then an average value is obtained, the flow state ice parameter influence threshold is obtained, the influence of the internal parameters of the flow state ice on the condensation nucleus is reduced, the detection accuracy of the flow state ice is improved, and the working efficiency is improved.
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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
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in fig. 1, an online monitoring system for supercooled water fluidized ice condensation nucleus detection and automatic elimination comprises a registration unit, a database, an environment analysis unit, a parameter monitoring unit, a quantity monitoring unit and a cloud monitoring platform;
the registration login unit is used for submitting management personnel information and monitoring personnel information to register through mobile phone terminals by management personnel and monitoring personnel, and storing data of the management personnel information and the monitoring personnel information which are successfully registered, wherein the management personnel information comprises the name, the age, the time of entry of the management personnel and the mobile phone number of real name authentication of the person, and the monitoring personnel information comprises the name, the age, the time of entry of the monitoring personnel and the mobile phone number of real name authentication of the person;
the environment analysis unit is used for analyzing the surrounding environment of the fluid ice, so as to calculate the environmental influence threshold of the environment on the fluid ice, and the specific analysis process is as follows:
step S1: obtaining unused fluid ice, marking the unused fluid ice as fluid ice to be detected, and setting the label as A, wherein the unused fluid ice is the fluid ice which is produced by a fluid ice making machine and is not used;
step S2: setting a monitoring time threshold as a day, dividing the monitoring time threshold into a plurality of time periods i, i =1, 2, … …, 24 in units of each hour, and marking the integral time between two adjacent time periods as a time node;
step S3: marking the number of fluid ice condensation nuclei to be detected as NC, acquiring the number of condensation nuclei of each time node of the fluid ice within a monitoring time threshold, establishing a rectangular coordinate system by taking the monitoring time threshold as an X axis and the number of the fluid ice condensation nuclei to be detected as a Y axis, marking the number of the condensation nuclei corresponding to the time node within the monitoring time threshold on the rectangular coordinate system, and marking the corresponding marked point as a condensation nuclei number node;
step S4: comparing the number corresponding to the condensation nucleus number nodes, if the number of the condensation nuclei corresponding to the adjacent time nodes is larger than or equal to the condensation nucleus number difference threshold, marking the time periods corresponding to the adjacent time nodes as time periods needing to be analyzed, otherwise, not marking any time period;
step S5: dividing the time period to be analyzed at intervals of ten minutes, marking the number of the condensation cores corresponding to each ten-minute time point in the time period to be analyzed, connecting the points on a rectangular coordinate in the time period to be analyzed, and marking the constructed curve as a curve to be analyzed for the condensation cores;
step S6: acquiring environment humidity values corresponding to all ten-minute time points between two time nodes in a time period to be analyzed and including the environment humidity values corresponding to the two time nodes, acquiring an environment humidity value difference value in the time period to be analyzed and constructing a humidity value set, acquiring an average value of subsets in the humidity value set, marking the average value as a humidity influence threshold value, and setting a label P;
step S7: constructing a rectangular coordinate system, simultaneously acquiring a curve of the environment humidity value on the rectangular coordinate system, marking the curve as a humidity comparison curve, carrying out relation comparison on the humidity comparison curve and a condensation nucleus analysis required curve, and if the humidity comparison curve is an ascending curve and the condensation nucleus analysis required curve is a descending curve, judging that the humidity is inversely proportional to the condensation nucleus, and determining that the humidity influence threshold is negative; if the humidity comparison curve is an ascending curve, the condensation nucleus analysis curve is an ascending curve or the humidity comparison curve is a descending curve, and the condensation nucleus analysis curve is a descending curve, the humidity is judged to be in direct proportion to the condensation nucleus, and the humidity influence threshold is positive; the influence of the environment on the content of the condensed nuclei in the fluid ice is judged by monitoring the environment, so that the detection accuracy of the condensed nuclei is improved, and the influence of the environment on the content of the condensed nuclei is reduced;
the parameter monitoring unit is used for monitoring parameters of the fluid ice, so that a parameter influence threshold of the fluid ice parameters on the condensation nucleus is calculated, and the specific monitoring process is as follows:
step SS 1: acquiring a time period needing to be analyzed in a monitoring time threshold, marking the time period needing to be analyzed as k, k =1, 2, … … and 23, and marking the rest time periods in the monitoring time threshold as non-analysis time periods j, j = 23-k;
step SS 2: obtaining the flow speed and the maximum temperature floating value of the fluid ice in the time period to be analyzed, respectively marking the flow speed and the maximum temperature floating value of the fluid ice in the time period to be analyzed as LDk and WDk, and respectively adopting a formula
Acquiring a flow state ice parameter coefficient Xk of a time period needing to be analyzed, wherein a1 and a2 are proportional coefficients, a1 is larger than a2 is larger than 0, and beta 1 is an error correction factor and takes a value of 1.23;
step SS 3: acquiring the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period, respectively marking the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period as LDj and WDj, and obtaining the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period through a formula
Acquiring a flow state ice parameter coefficient Xj of a non-analysis time period, wherein a3 and a4 are proportional coefficients, a3 is larger than a4 is larger than 0, and beta 2 is an error correction factor and takes a value of 1.53;
step SS 4: acquiring fluid ice parameter coefficients of all time periods needing analysis, calculating and acquiring an average value of the fluid ice parameter coefficients in the time periods needing analysis through the average value, marking the average value as M, acquiring the fluid ice parameter coefficients of all time periods not needing analysis, calculating and acquiring the average value of the fluid ice parameter coefficients in the time periods not needing analysis through the average value, and marking the average value as H;
step SS 5: calculating the difference value of the flow state ice parameter coefficient average value M in the time period to be analyzed and the flow state ice parameter coefficient H in the non-analysis time period, and marking the difference value as a flow state ice parameter influence threshold value after taking the absolute value of the difference value; the influence of internal parameters of the fluid ice on condensation nuclei is reduced, the detection accuracy of the fluid ice is improved, and the working efficiency is improved;
the quantity monitoring unit is used for monitoring the quantity of condensation nuclei in the flow state ice, and the specific monitoring process is as follows:
step T1: selecting a pipeline, arranging an outlet and an inlet on one side surface of the pipeline, arranging a pressurizing port and a pressure relief port on the other side of the pipeline, and arranging a fluorescent lamp and a photographing terminal at two ends of the pipeline respectively;
step T2: conveying wet air into the pipeline through a pressurizing port, acquiring a pressure value in the pipeline in real time, extracting samples from the fluid ice to be detected, marking the extracted fluid ice to be detected as quantity monitoring samples, conveying the quantity monitoring samples into the pipeline from an inlet, closing an outlet of the pipeline, and acquiring the flow speed of the fluid ice in the pipeline in real time;
step T3: then, arranging a fluorescent lamp at one end of the pipeline, turning on the fluorescent lamp when the fluid ice to be detected flows in the pipeline, then arranging a camera at the other end of the pipeline, acquiring images of the fluid ice to be detected through the camera, repeatedly acquiring the images, and marking the images as monitoring images;
step T4: acquiring the number of dark spots in all monitored images, sequencing the number of the dark spots in all the monitored images from large to small according to numerical values, marking the number of the dark spots in the first sequencing as the number of condensation nuclei, generating a clearing signal and sending the clearing signal to a mobile phone terminal of a monitoring person if the number of the condensation nuclei is more than or equal to a threshold value of the number of the condensation nuclei, and generating a normal signal and sending the normal signal to a mobile phone terminal of a manager if the number of the condensation nuclei is less than the threshold value of the number of the condensation nuclei; the quantity is detected and eliminated in time, so that the use efficiency of the flow state ice is improved, and the cost is reduced.
The working principle of the invention is as follows:
during working, an environment analysis unit analyzes the surrounding environment of the fluid ice so as to calculate the environmental influence threshold of the environment on the fluid ice, and a parameter monitoring unit monitors the parameter of the fluid ice so as to calculate the parameter influence threshold of the parameter of the fluid ice on the condensation nucleus; the number of condensation nuclei in the fluidized ice is monitored by a number monitoring unit.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. An on-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination is characterized by comprising a registration login unit, a database, an environment analysis unit, a parameter monitoring unit, a quantity monitoring unit and a cloud monitoring platform;
the environment analysis unit is used for analyzing the surrounding environment of the fluid ice so as to calculate the environmental influence threshold of the environment on the fluid ice, and the specific analysis process is as follows:
step S1: obtaining unused fluid ice, marking the unused fluid ice as fluid ice to be detected, and setting the label as A, wherein the unused fluid ice is the fluid ice which is produced by a fluid ice making machine and is not used;
step S2: setting a monitoring time threshold as a day, dividing the monitoring time threshold into a plurality of time periods i, i =1, 2, … …, 24 in units of each hour, and marking the integral time between two adjacent time periods as a time node;
step S3: marking the number of fluid ice condensation nuclei to be detected as NC, acquiring the number of condensation nuclei of each time node of the fluid ice within a monitoring time threshold, establishing a rectangular coordinate system by taking the monitoring time threshold as an X axis and the number of the fluid ice condensation nuclei to be detected as a Y axis, marking the number of the condensation nuclei corresponding to the time node within the monitoring time threshold on the rectangular coordinate system, and marking the corresponding marked point as a condensation nuclei number node;
step S4: comparing the number corresponding to the condensation nucleus number nodes, if the number of the condensation nuclei corresponding to the adjacent time nodes is larger than or equal to the condensation nucleus number difference threshold, marking the time periods corresponding to the adjacent time nodes as time periods needing to be analyzed, otherwise, not marking any time period;
step S5: dividing the time period to be analyzed at intervals of ten minutes, marking the number of the condensation cores corresponding to each ten-minute time point in the time period to be analyzed, connecting the points on a rectangular coordinate in the time period to be analyzed, and marking the constructed curve as a curve to be analyzed for the condensation cores;
step S6: acquiring environment humidity values corresponding to all ten-minute time points between two time nodes in a time period to be analyzed and including the environment humidity values corresponding to the two time nodes, acquiring an environment humidity value difference value in the time period to be analyzed and constructing a humidity value set, acquiring an average value of subsets in the humidity value set, marking the average value as a humidity influence threshold value, and setting a label P;
step S7: constructing a rectangular coordinate system, simultaneously acquiring a curve of the environment humidity value on the rectangular coordinate system, marking the curve as a humidity comparison curve, carrying out relation comparison on the humidity comparison curve and a condensation nucleus analysis required curve, and if the humidity comparison curve is an ascending curve and the condensation nucleus analysis required curve is a descending curve, judging that the humidity is inversely proportional to the condensation nucleus, and determining that the humidity influence threshold is negative; if the humidity comparison curve is an ascending curve, the condensation nucleus analysis curve is an ascending curve or the humidity comparison curve is a descending curve, and the condensation nucleus analysis curve is a descending curve, the humidity is judged to be in direct proportion to the condensation nucleus, and the humidity influence threshold is positive.
2. The on-line monitoring system for the detection and automatic elimination of the condensation nucleus of the supercooled water fluid ice as claimed in claim 1, wherein the parameter monitoring unit is used for monitoring the parameters of the fluid ice, so as to calculate the parameter influence threshold of the fluid ice parameters on the condensation nucleus, and the monitoring process comprises the following steps:
step SS 1: acquiring a time period needing to be analyzed in a monitoring time threshold, marking the time period needing to be analyzed as k, k =1, 2, … … and 23, and marking the rest time periods in the monitoring time threshold as non-analysis time periods j, j = 23-k;
step SS 2: obtaining the flow speed and the maximum temperature floating value of the fluid ice in the time period to be analyzed, respectively marking the flow speed and the maximum temperature floating value of the fluid ice in the time period to be analyzed as LDk and WDk, and respectively adopting a formula
Acquiring a flow state ice parameter coefficient Xk of a time period needing to be analyzed, wherein a1 and a2 are proportional coefficients, a1 is larger than a2 is larger than 0, and beta 1 is an error correction factor and takes a value of 1.23;
step SS 3: acquiring the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period, respectively marking the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period as LDj and WDj, and obtaining the flow speed and the maximum temperature floating value of the fluid ice in the non-analysis time period through a formula
Acquiring a flow state ice parameter coefficient Xj of a non-analysis time period, wherein a3 and a4 are proportional coefficients, a3 is larger than a4 is larger than 0, and beta 2 is an error correction factor and takes a value of 1.53;
step SS 4: acquiring fluid ice parameter coefficients of all time periods needing analysis, calculating and acquiring an average value of the fluid ice parameter coefficients in the time periods needing analysis through the average value, marking the average value as M, acquiring the fluid ice parameter coefficients of all time periods not needing analysis, calculating and acquiring the average value of the fluid ice parameter coefficients in the time periods not needing analysis through the average value, and marking the average value as H;
step SS 5: and calculating the difference value of the flow state ice parameter coefficient average value M in the time period to be analyzed and the flow state ice parameter coefficient H in the non-analysis time period, and marking the difference value as a flow state ice parameter influence threshold value after taking the absolute value of the difference value.
3. The on-line monitoring system for the detection and automatic elimination of the condensation nuclei of the supercooled water fluid ice as claimed in claim 1, wherein the quantity monitoring unit is used for monitoring the quantity of the condensation nuclei in the fluid ice, and the monitoring process comprises the following steps:
step T1: selecting a pipeline, arranging an outlet and an inlet on one side surface of the pipeline, arranging a pressurizing port and a pressure relief port on the other side of the pipeline, and arranging a fluorescent lamp and a photographing terminal at two ends of the pipeline respectively;
step T2: conveying wet air into the pipeline through a pressurizing port, acquiring a pressure value in the pipeline in real time, extracting samples from the fluid ice to be detected, marking the extracted fluid ice to be detected as quantity monitoring samples, conveying the quantity monitoring samples into the pipeline from an inlet, closing an outlet of the pipeline, and acquiring the flow speed of the fluid ice in the pipeline in real time;
step T3: then, arranging a fluorescent lamp at one end of the pipeline, turning on the fluorescent lamp when the fluid ice to be detected flows in the pipeline, then arranging a camera at the other end of the pipeline, acquiring images of the fluid ice to be detected through the camera, repeatedly acquiring the images, and marking the images as monitoring images;
step T4: acquiring the number of dark points in all monitored images, sequencing the number of the dark points in all the monitored images from large to small according to numerical values, marking the number of the dark points with the first sequencing as the number of condensation nuclei, generating a clearing signal and sending the clearing signal to a mobile phone terminal of a monitoring person if the number of the condensation nuclei is more than or equal to a threshold value of the number of the condensation nuclei, and generating a normal signal and sending the normal signal to a mobile phone terminal of a manager if the number of the condensation nuclei is less than the threshold value of the number of the condensation nuclei.
4. The on-line monitoring system for the detection and automatic elimination of the condensation nucleus of the supercooled water fluid ice as claimed in claim 1, wherein the registration login unit is used for the manager and the monitoring personnel to submit the manager information and the monitoring personnel information through mobile phone terminals for registration, and to store the manager information and the monitoring personnel information which are successfully registered, the manager information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the manager, and the monitoring personnel information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the monitoring personnel.
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| CN202110419928.3A CN113125321B (en) | 2021-04-19 | 2021-04-19 | On-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination |
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| CN202110419928.3A CN113125321B (en) | 2021-04-19 | 2021-04-19 | On-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination |
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| CN202110419928.3A Active CN113125321B (en) | 2021-04-19 | 2021-04-19 | On-line monitoring system for supercooled water fluid ice condensation nucleus detection and automatic elimination |
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