CN113010518B - Pipeline cleaning data processing method and device - Google Patents
Pipeline cleaning data processing method and device Download PDFInfo
- Publication number
- CN113010518B CN113010518B CN202110273653.7A CN202110273653A CN113010518B CN 113010518 B CN113010518 B CN 113010518B CN 202110273653 A CN202110273653 A CN 202110273653A CN 113010518 B CN113010518 B CN 113010518B
- Authority
- CN
- China
- Prior art keywords
- wastewater
- cleaning
- time
- total
- consumption
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004140 cleaning Methods 0.000 title claims abstract description 89
- 238000003672 processing method Methods 0.000 title claims abstract description 9
- 239000002351 wastewater Substances 0.000 claims abstract description 124
- 239000002002 slurry Substances 0.000 claims abstract description 67
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 57
- 238000000034 method Methods 0.000 claims abstract description 39
- 150000003839 salts Chemical class 0.000 claims abstract description 29
- 239000013049 sediment Substances 0.000 claims abstract description 24
- 230000008569 process Effects 0.000 claims abstract description 20
- 230000015572 biosynthetic process Effects 0.000 claims description 6
- 230000009467 reduction Effects 0.000 claims description 6
- 235000015598 salt intake Nutrition 0.000 claims description 6
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 230000006872 improvement Effects 0.000 description 8
- 244000005700 microbiome Species 0.000 description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- PWHULOQIROXLJO-UHFFFAOYSA-N Manganese Chemical compound [Mn] PWHULOQIROXLJO-UHFFFAOYSA-N 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 239000004927 clay Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 229910052748 manganese Inorganic materials 0.000 description 2
- 239000011572 manganese Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 208000025174 PANDAS Diseases 0.000 description 1
- 208000021155 Paediatric autoimmune neuropsychiatric disorders associated with streptococcal infection Diseases 0.000 description 1
- 240000000220 Panda oleosa Species 0.000 description 1
- 235000016496 Panda oleosa Nutrition 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 1
- 229910052782 aluminium Inorganic materials 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000001580 bacterial effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000002198 insoluble material Substances 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 238000007254 oxidation reaction Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 239000013618 particulate matter Substances 0.000 description 1
- 230000000704 physical effect Effects 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 239000010802 sludge Substances 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2291—User-Defined Types; Storage management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2474—Sequence data queries, e.g. querying versioned data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/174—Form filling; Merging
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Fuzzy Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Cleaning In General (AREA)
- Physical Water Treatments (AREA)
- Cleaning By Liquid Or Steam (AREA)
Abstract
The application provides a method and a device for processing pipeline cleaning data, wherein the processing method comprises the following steps: acquiring a time sequence arranged in time sequence; acquiring the length of a target pipeline, and acquiring the conductivity of wastewater flowing out of a water outlet of the target pipeline, the instantaneous flow of the wastewater, the temperature of the wastewater, the concentration of suspended matters in the wastewater and the turbidity of the wastewater, and the total consumption of ice and the total consumption of salt in the process of cleaning the ice slurry at each time in the process of cleaning the inner wall of the target pipeline; generating a cleaning starting and ending time, total time consumption, total water consumption, total mass of the flushed sediment, mass of the sediment per unit pipe length, salt residue rate, and generating a report. In summary, the processing method can generate a report, so that a worker can check various data indexes in the current operation conveniently.
Description
Technical Field
The application relates to the technical field of ice slurry pipe cleaning, in particular to a method and a device for processing pipeline cleaning data.
Background
Along with the increase of the service life of the water delivery pipeline, oxygen in water and the pipeline are subjected to oxidation reaction, or the sediment of iron and manganese elements can be accumulated on the pipe wall due to poor filtering effect in the water treatment stage. The accumulation of sediment causes the inner diameter of the pipe to be smaller, the water quantity is insufficient, the water supply is not smooth, and the pipeline is blocked when serious. In addition, when the content of manganese or aluminum elements in water is high and the water is not effectively chlorinated, the growth of a biological film is easy to cause, the biological film reacts with certain elements in the water of a pipe network to cause the deterioration of water quality, so that microorganisms in the water are multiplied, bacterial colonies are increased, and the biological film is a threat to the health of people. Therefore, the inner wall of the water pipe needs to be cleaned frequently.
The ice slurry cleaning pipe is a common pipeline inner wall cleaning technology, and the basic principle is as follows: these mineral deposits, biofilms and other deposits are removed by cleaning the inner walls of the pipes by injecting ice slurry. However, during or after the cleaning process, the staff lacks a method for checking various data indexes in the current operation, lacks effective data to evaluate whether the result of the current operation is good, and lacks a record keeping means for the ice slurry cleaning operation.
Disclosure of Invention
The application aims to provide a method and a device for processing pipeline cleaning data.
In order to achieve one of the above objects, an embodiment of the present application provides a method for processing pipeline cleaning data, including the steps of: acquiring time series T arranged in time sequence i I=1, 2,..n, N is a natural number; acquiring the length L of the target pipeline, and in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i And the total consumption of ice and the total consumption of salt during the cleaning of the ice slurry; from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<e is less than or equal to N; total time spent for generating this ice slurry wash = T e -T s Total water consumption for this ice slurry wash = average of instantaneous flow (T e -T s ) Total consumption of ice, formation of deposits washed out by the present slurry wash Production of sediment per tube length in this ice slurry wash +.>Salt residue rate = (total salt consumption-saltSum)/total salt consumption of the ice slurry cleaning, wherein ∈> Generating a report, wherein the report at least comprises: total time consumption, total water consumption, total mass of sediment flushed out, mass of sediment per unit tube length, and salt residue rate.
As a further improvement of an embodiment of the present application, the report further includes: the minimum, maximum and average values of the temperature of the wastewater; the minimum value, the maximum value and the average value of the flow of the wastewater; minimum, maximum and average values of conductivity of the wastewater; the minimum, maximum and average values of the turbidity of the wastewater; minimum, maximum and average values of suspended matter concentration in the wastewater.
As a further improvement of an embodiment of the present application, the method further comprises the steps of: and converting the report into a corresponding pdf file.
As a further improvement of an embodiment of the present application, the "from the time series T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<The e is less than or equal to N' and specifically comprises: from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e Wherein F is s Not less than a first preset threshold value, and F j <A first preset threshold, j=1, 2,3,..s-1; c (C) e A second preset threshold value less than or equal to the second preset threshold value, and C k >A second preset threshold, k=m, m+1, e-1, and 1.ltoreq.s<m<e≤N。
As a further improvement of an embodiment of the application, the method is characterized in that during the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i ", specifically includes: in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i After that, for conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i And performing smooth noise reduction processing.
The embodiment of the application discloses a device for processing pipeline cleaning data, which comprises the following modules: a time sequence acquisition module for acquiring time sequences T arranged in time sequence i I=1, 2,..n, N is a natural number; the parameter acquisition module is used for acquiring the length L of the target pipeline, and in the process of cleaning the inner wall of the target pipeline by ice slurry, the parameter acquisition module is used for acquiring the length L of the target pipeline at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i And the total consumption of ice and the total consumption of salt during the cleaning of the ice slurry; a data processing module for processing the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<e is less than or equal to N; total time spent for generating this ice slurry wash = T e -T s Total water consumption for this ice slurry wash = average of instantaneous flow (T e -T s ) Total consumption of ice, formation of deposits washed out by the present slurry washProduction of sediment per tube length in this ice slurry wash +.>Generating salt residual rate of the ice slurry cleaning = (total salt consumption-saltSum)/total salt consumption, wherein,
the report module is used for generating a report, and the report at least comprises: total time consumption, total water consumption, total mass of sediment flushed out, mass of sediment per unit tube length, and salt residue rate.
As a further improvement of an embodiment of the present application, the report further includes: the minimum, maximum and average values of the temperature of the wastewater; the minimum value, the maximum value and the average value of the flow of the wastewater; minimum, maximum and average values of conductivity of the wastewater; the minimum, maximum and average values of the turbidity of the wastewater; minimum, maximum and average values of suspended matter concentration in the wastewater.
As a further improvement of an embodiment of the application, the device further comprises the following modules: and the format processing module is used for converting the report into a corresponding pdf file.
As a further improvement of an embodiment of the present application, the data processing module is further configured to: from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e Wherein F is s Not less than a first preset threshold value, and F j <A first preset threshold, j=1, 2,3,..s-1; c (C) e A second preset threshold value less than or equal to the second preset threshold value, and C k >A second preset threshold, k=m, m+1, e-1, and 1.ltoreq.s<m<e≤N。
As a further improvement of an embodiment of the present application, the parameter obtaining module is further configured to: in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i After that, for conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i And performing smooth noise reduction processing.
Compared with the prior art, the application has the technical effects that: the embodiment of the application provides a method and a device for processing pipeline cleaning data, wherein the processing method comprises the following steps: acquiring a time sequence arranged in time sequence; acquiring the length of a target pipeline, and acquiring the conductivity of wastewater flowing out of a water outlet of the target pipeline, the instantaneous flow of the wastewater, the temperature of the wastewater, the concentration of suspended matters in the wastewater and the turbidity of the wastewater, and the total consumption of ice and the total consumption of salt in the process of cleaning the ice slurry at each time in the process of cleaning the inner wall of the target pipeline; generating a cleaning starting and ending time, total time consumption, total water consumption, total mass of the flushed sediment, mass of the sediment per unit pipe length, salt residue rate, and generating a report. In summary, the processing method can generate a report, so that a worker can check various data indexes in the current operation conveniently.
Drawings
FIG. 1 is a flow chart of a method of processing pipeline cleaning data in the present application;
fig. 2 is a structural view of a report in the present application.
Detailed Description
The present application will be described in detail below with reference to the embodiments shown in the drawings. These embodiments are not intended to limit the application and structural, methodological, or functional modifications of these embodiments that may be made by one of ordinary skill in the art are included within the scope of the application.
Terms such as "upper," "above," "lower," "below," and the like, as used herein, refer to a spatial relative position, and are used for ease of description to describe one element or feature's relationship to another element or feature as illustrated in the figures. The term spatially relative position may be intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the exemplary term "below" can encompass both an orientation of above and below. The device may be otherwise oriented (rotated 90 degrees or other orientations) and the spatially relative descriptors used herein interpreted accordingly.
Also, it should be understood that, although the terms first, second, etc. may be used herein to describe various elements or structures, these described objects should not be limited by these terms. These terms are only used to distinguish one such descriptive object from another. For example, a first control instruction may be referred to as a second control instruction, and similarly a second control instruction may also be referred to as a first control instruction, without departing from the scope of the application.
The embodiment of the application provides a method for processing pipeline cleaning data, which is shown in fig. 1 and comprises the following steps:
step 101: acquiring time series T arranged in time sequence i I=1, 2,..n, N is a natural number; here, time series T i Are arranged in time sequence, thus T j+1 -T j >0, j=1, 2,., N-1; in actual use, the relevant parameters (i.e. conductivity C) of the current ice slurry cleaning can be obtained every other preset time i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i Etc.), therefore, adjacent T i The time intervals between can be equal or vary little, i.e. T j+1 -T j Is a constant value or varies little.
Step 102: acquiring the length L of the target pipeline, and in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i And the total consumption of ice and the total consumption of salt during the cleaning of the ice slurry;
here, conductivity generally refers to the ability of a solution to conduct electricity in siemens per meter. The instantaneous flow rate refers to the amount of fluid flowing through the water outlet of the target pipeline in a unit time; suspended matters refer to solid matters suspended in wastewater, including inorganic matters, organic matters, muddy sand, clay, microorganisms and the like which are insoluble in water, and the concentration of the suspended matters in water is one of indexes for measuring the pollution degree of water; turbidity is one of the physical property indexes of the water body. It characterizes the extent to which suspended substances in water, etc., obstruct the transmission of light. In general, the more insoluble material in water, the higher the turbidity. Turbidity is formed by the presence of particulate matter such as clay, sludge, colloidal particles, plankton and other microorganisms in water, and is an important indicator for measuring the water quality, which is used to indicate the clarity or turbidity of water.
Here, several sensors may be provided in the target pipe for acquiring these parameters, for example, (1) a conductivity sensor may be used at the water outlet of the target pipe for measuring the conductivity C of the wastewater i The principle can be to put two parallel plates into the effluent water, apply a certain potential (typically sine wave voltage) across the plates, and then measure the current flowing between the plates. Conductivity is measured according to ohm's law, the inverse of the conductivity (G) -resistance (R); the flow sensor can be used at the water outlet of the target pipeline to measure the instantaneous flow F of the wastewater i The flow meter can be a differential pressure type flow meter, a speed type flow meter, a time difference type ultrasonic flow meter, a positive displacement flow meter or the like; (3) Temperature Temp can be measured at the outlet of the target pipe using a temperature sensor i The method comprises the steps of carrying out a first treatment on the surface of the (4) A suspended matter concentration meter can be used at the water outlet of the target pipeline to measure suspended matter concentration D i The suspended matter concentration meter can be composed of a transmitter and a sensor, wherein only a small part of light rays can be irradiated on the detector after the infrared light sent by the transmitter on the sensor is absorbed, reflected and scattered by a measured object in the transmission process, and the transmissivity of the transmitted light has a certain relation with the concentration of the measured wastewater, so that the concentration of the wastewater can be calculated by measuring the transmissivity of the transmitted light; (5) The photoelectric turbidity meter can be used at the water outlet of the target pipeline to measure the turbidity Tub i 。
Here, in practice, five files csv (common-Separated Values) may be respectively established, and these five csv files are respectively used for storing the conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i It will be appreciated that during the cleaning of the inner wall of the target pipe with ice slurry, a conductivity C is obtained each time i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i At the time, time T i And these values are added to the corresponding csv file, i.e., time T i And conductivity C i Adding to the corresponding csv file, and adding time T i And instantaneous flow F i Adding to the corresponding csv file, and adding time T i And temperature Temp i Adding to the corresponding csv file, and adding time T i And suspended matter concentration D i Added to the corresponding csv file. Time T i And turbidity Tub i Added to the corresponding csv file. After the ice slurry is cleaned, the total consumption of ice and the total consumption of salt are obtained;
step 103: from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<e is less than or equal to N; total time spent for generating this ice slurry wash = T e -T s Total water consumption for this ice slurry wash = average of instantaneous flow (T e -T s ) Total consumption of ice, formation of deposits washed out by the present slurry wash
Production of sediment per tube length in this ice slurry wash +.>Salt residue rate = (total salt consumption-saltSum)/total salt consumption of the ice slurry cleaning, wherein ∈>
Step 104: generating a report, wherein the report at least comprises: total time consumption, total water consumption, total mass of sediment flushed out, mass of sediment per unit tube length, and salt residue rate. Here, the report may take a variety of formats, such as, for example, an Html (Hyper Text Markup Language ) web page, a word document, etc.
In summary, the processing method can generate a report, so that a worker can check various data indexes in the current operation after the cleaning process, evaluate whether the result of the current operation is good, and have a record retaining means for the ice slurry cleaning operation.
Here, in practice, it is necessary to implement the processing method using a software that can be developed using Python 3.8 language, design a UI framework using PyQt5, and use a part of methods in numpy and pandas science packages. It will be appreciated that the software may have the function of checking five csv files, i.e. when a deviation or error occurs in the data in a certain csv file, a prompt message is sent.
Here, fig. 2 shows a style of a report.
In this embodiment, the report further includes: the minimum, maximum and average values of the temperature of the wastewater; the minimum value, the maximum value and the average value of the flow of the wastewater; minimum, maximum and average values of conductivity of the wastewater; the minimum, maximum and average values of the turbidity of the wastewater; minimum, maximum and average values of suspended matter concentration in the wastewater.
In this embodiment, the method further includes the following steps: the report is converted to a corresponding pdf (Portable Document Format ) file. Here, a report in html format can be converted to a pdf file using a wkhtmltopdf plug-in.
In this embodiment, the "From the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<The e is less than or equal to N' and specifically comprises:
from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e Wherein F is s Not less than a first preset threshold value, and F j <A first preset threshold, j=1, 2,3,..s-1; c (C) e A second preset threshold value less than or equal to the second preset threshold value, and C k >A second preset threshold, k=m, m+1, e-1, and 1.ltoreq.s<m<e≤N。
Here, when the inner wall of the target pipe is subjected to the ice slurry cleaning, the data is recorded in the whole area at time T 1 This time the slurry wash is not yet started, but at time T N This time the slurry wash may have ended. Furthermore, it will be appreciated that the flow of wastewater is relatively small (i.e. F j <First preset threshold, j=1, 2,3,..s-1), at time T s The injection of sufficient ice slurry into the pipeline is started, and therefore, the instantaneous flow of wastewater flowing out of the target pipeline is also greatly increased (i.e. greater than a first preset threshold, i.e. F s And (2) the first preset threshold value). Thereafter, the slurry is continuously injected into the target pipeline, and after a period of time, salt is required to be injected into the target pipeline to melt the slurry, at which time the conductivity of the wastewater is greatly increased (i.e., C k >A second preset threshold, k=m, m+1,.. thereafter, and as the cleaning operation continues, the impurity content in the target pipeline is greatly reduced, and the conductivity of the wastewater is greatly reduced (namely C e And less than or equal to a second preset threshold).
In this embodiment, the "during the process of cleaning the inner wall of the target pipeline with ice slurry" is performed at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i ", specifically includes:
at the target tubeIn the process of cleaning the inner wall of the channel by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i After that, for conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i And performing smooth noise reduction processing. Here, for conductivity C i In other words, when the difference between a certain value and the average value is too large, the value can be removed; also for instantaneous flow rate F i In other words, when the difference between a certain value and the average value is too large, the value can be removed; for temperature Temp i In other words, when the difference between a certain value and the average value is too large, the value can be removed; for suspended matter concentration D i In other words, when the difference between a certain value and the average value is too large, the value can be removed; for turbidity Tub i In other words, when the difference between a certain value and the average value is too large, the value can be removed; thus, the data can be smoothed and errors can be reduced.
The second embodiment of the application provides a device for processing pipeline cleaning data, which comprises the following modules:
a time sequence acquisition module for acquiring time sequences T arranged in time sequence i I=1, 2,..n, N is a natural number;
the parameter acquisition module is used for acquiring the length L of the target pipeline, and in the process of cleaning the inner wall of the target pipeline by ice slurry, the parameter acquisition module is used for acquiring the length L of the target pipeline at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i And the total consumption of ice and the total consumption of salt during the cleaning of the ice slurry;
a data processing module for processing the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<e is less than or equal to N; total time spent for generating this ice slurry wash = T e -T s Total water consumption for this ice slurry wash = average of instantaneous flow (T e -T s ) Total consumption of ice, formation of deposits washed out by the present slurry washGenerating sediment of unit pipe length in the current ice slurry cleaningSalt residue rate = (total salt consumption-saltSum)/total salt consumption of the ice slurry cleaning, wherein ∈>
The report module is used for generating a report, and the report at least comprises: total time consumption, total water consumption, total mass of sediment flushed out, mass of sediment per unit tube length, and salt residue rate.
In this embodiment, the report further includes: the minimum, maximum and average values of the temperature of the wastewater; the minimum value, the maximum value and the average value of the flow of the wastewater; minimum, maximum and average values of conductivity of the wastewater; the minimum, maximum and average values of the turbidity of the wastewater; minimum, maximum and average values of suspended matter concentration in the wastewater.
In this embodiment, the method further includes the following modules: and the format processing module is used for converting the report into a corresponding pdf file.
In this embodiment, the data processing module is further configured to:
from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e Wherein F is s Not less than a first preset threshold value, and F j <A first preset threshold, j=1,2，3，...，s-1；C e a second preset threshold value less than or equal to the second preset threshold value, and C k >A second preset threshold, k=m, m+1, e-1, and 1.ltoreq.s<m<e≤N。
In this embodiment, the parameter obtaining module is further configured to:
in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i After that, for conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i And performing smooth noise reduction processing.
It should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is for clarity only, and that the skilled artisan should recognize that the embodiments may be combined as appropriate to form other embodiments that will be understood by those skilled in the art.
The above list of detailed descriptions is only specific to practical embodiments of the present application, and they are not intended to limit the scope of the present application, and all equivalent embodiments or modifications that do not depart from the spirit of the present application should be included in the scope of the present application.
Claims (10)
1. A method of processing pipeline cleaning data, comprising the steps of:
acquiring time series T arranged in time sequence i I=1, 2,..n, N is a natural number;
acquiring the length L of the target pipeline, and in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i And the total consumption of ice and the total consumption of salt during the cleaning of the ice slurry;
from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<e is less than or equal to N; total time spent for generating this ice slurry wash = T e -T s Total water consumption for this ice slurry wash = average of instantaneous flow (T e -T s ) Total consumption of ice, formation of deposits washed out by the present slurry wash Production of sediment per tube length in this ice slurry wash +.>Generating salt residual rate of the ice slurry cleaning = (total salt consumption-saltSum)/total salt consumption, wherein,
generating a report, wherein the report at least comprises: total time consumption, total water consumption, total mass of sediment flushed out, mass of sediment per unit tube length, and salt residue rate.
2. The method of processing according to claim 1, wherein the report further comprises:
the minimum, maximum and average values of the temperature of the wastewater; the minimum value, the maximum value and the average value of the flow of the wastewater; minimum, maximum and average values of conductivity of the wastewater; the minimum, maximum and average values of the turbidity of the wastewater; minimum, maximum and average values of suspended matter concentration in the wastewater.
3. The method of processing according to claim 1, further comprising the step of:
and converting the report into a corresponding pdf file.
4. The processing method according to claim 1, wherein said "from said time series T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<The e is less than or equal to N' and specifically comprises:
from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e Wherein, the method comprises the steps of, wherein,
F s not less than a first preset threshold value, and F j <A first preset threshold, j=1, 2,3,..s-1;
C e a second preset threshold value less than or equal to the second preset threshold value, and C k >A second preset threshold, k=m, m+1, e-1, and 1.ltoreq.s<m<e≤N。
5. The method according to claim 1, wherein the "during the cleaning of the inner wall of the target pipe with ice slurry" is performed at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i ", specifically includes:
in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i After that, for conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i And performing smooth noise reduction processing.
6. A device for processing pipeline cleaning data, comprising the following modules:
a time sequence acquisition module for acquiring time sequences T arranged in time sequence i I=1, 2,..n, N is a natural number;
the parameter acquisition module is used for acquiring the length L of the target pipeline, and in the process of cleaning the inner wall of the target pipeline by ice slurry, the parameter acquisition module is used for acquiring the length L of the target pipeline at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i Concentration D of suspended matter in the wastewater i And the turbidity Tub of said wastewater i And the total consumption of ice and the total consumption of salt during the cleaning of the ice slurry;
a data processing module for processing the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e And s is 1 to or less<e is less than or equal to N; total time spent for generating this ice slurry wash = T e -T s Total water consumption for this ice slurry wash = average of instantaneous flow (T e -T s ) Total consumption of ice, formation of deposits washed out by the present slurry washProduction of sediment per tube length in this ice slurry wash +.>Salt residue rate = (total salt consumption-saltSum)/total salt consumption of the ice slurry cleaning, wherein ∈>
The report module is used for generating a report, and the report at least comprises: total time consumption, total water consumption, total mass of sediment flushed out, mass of sediment per unit tube length, and salt residue rate.
7. The processing apparatus of claim 6, wherein the report further comprises:
the minimum, maximum and average values of the temperature of the wastewater; the minimum value, the maximum value and the average value of the flow of the wastewater; minimum, maximum and average values of conductivity of the wastewater; the minimum, maximum and average values of the turbidity of the wastewater; minimum, maximum and average values of suspended matter concentration in the wastewater.
8. The processing apparatus of claim 6, further comprising the following modules:
and the format processing module is used for converting the report into a corresponding pdf file.
9. The processing device of claim 6, wherein the data processing module is further configured to:
from the time sequence T i Acquisition of cleaning start time T s And a cleaning end time T e Wherein F is s Not less than a first preset threshold value, and F j <A first preset threshold, j=1, 2,3,..s-1; c (C) e A second preset threshold value less than or equal to the second preset threshold value, and C k >A second preset threshold, k=m, m+1, e-1, and 1.ltoreq.s<m<e≤N。
10. The processing device of claim 6, wherein the parameter acquisition module is further configured to:
in the process of cleaning the inner wall of the target pipeline by ice slurry, at each time T i Acquiring the conductivity C of the wastewater flowing out of the water outlet of the target pipeline i Instantaneous flow rate F of said waste water i Temperature Temp of said waste water i The saidConcentration D of suspended matter in wastewater i And the turbidity Tub of said wastewater i After that, for conductivity C i Instantaneous flow F i Temperature Temp i Concentration of suspended matter D i And turbidity Tub i And performing smooth noise reduction processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110273653.7A CN113010518B (en) | 2021-03-15 | 2021-03-15 | Pipeline cleaning data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110273653.7A CN113010518B (en) | 2021-03-15 | 2021-03-15 | Pipeline cleaning data processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113010518A CN113010518A (en) | 2021-06-22 |
| CN113010518B true CN113010518B (en) | 2023-12-15 |
Family
ID=76406731
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110273653.7A Active CN113010518B (en) | 2021-03-15 | 2021-03-15 | Pipeline cleaning data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113010518B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008296168A (en) * | 2007-06-01 | 2008-12-11 | Hitachi Plant Technologies Ltd | Cip cleaning method and cip cleaning apparatus of food and drug production line |
| CN106862180A (en) * | 2017-01-24 | 2017-06-20 | 杭州凡腾科技股份有限公司 | A kind of CIP on-line cleaning systems control method |
| CN110244016A (en) * | 2019-07-16 | 2019-09-17 | 中国矿业大学(北京) | The measuring method and equipment of organic pollutant degradation rate |
| CN110981000A (en) * | 2019-11-20 | 2020-04-10 | 武汉钢铁有限公司 | Method for treating silicon steel magnesium oxide wastewater |
| CN111912475A (en) * | 2020-08-27 | 2020-11-10 | 苏州吴中供水有限公司 | Real-time monitoring system and method for pipeline cleaning |
| CN212340335U (en) * | 2020-08-27 | 2021-01-12 | 苏州吴中供水有限公司 | Real-time monitoring system for pipeline cleaning |
-
2021
- 2021-03-15 CN CN202110273653.7A patent/CN113010518B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008296168A (en) * | 2007-06-01 | 2008-12-11 | Hitachi Plant Technologies Ltd | Cip cleaning method and cip cleaning apparatus of food and drug production line |
| CN106862180A (en) * | 2017-01-24 | 2017-06-20 | 杭州凡腾科技股份有限公司 | A kind of CIP on-line cleaning systems control method |
| CN110244016A (en) * | 2019-07-16 | 2019-09-17 | 中国矿业大学(北京) | The measuring method and equipment of organic pollutant degradation rate |
| CN110981000A (en) * | 2019-11-20 | 2020-04-10 | 武汉钢铁有限公司 | Method for treating silicon steel magnesium oxide wastewater |
| CN111912475A (en) * | 2020-08-27 | 2020-11-10 | 苏州吴中供水有限公司 | Real-time monitoring system and method for pipeline cleaning |
| CN212340335U (en) * | 2020-08-27 | 2021-01-12 | 苏州吴中供水有限公司 | Real-time monitoring system for pipeline cleaning |
Non-Patent Citations (2)
| Title |
|---|
| Ultrasonic detection of slurry ice flows;Shire S等;《Journal of Process Mechanical Engineering》;217- 225 * |
| 冰浆清洗技术对小口径球墨铸铁给水管道的清洗效果;施凯等;《中国给水排水》;69-73 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113010518A (en) | 2021-06-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Mullins et al. | A novel image processing-based system for turbidity measurement in domestic and industrial wastewater | |
| CA2602822C (en) | Methods for monitoring fouling of aqueous systems including enhanced heat exchanger tubes | |
| JPH1157731A (en) | Water treatment and water treatment plant | |
| CN113010518B (en) | Pipeline cleaning data processing method and device | |
| CN102580546A (en) | Method evaluating membrane chemical cleaning recovery performance | |
| CN106644604A (en) | Chemical oxygen demand monitoring system and method based on gravity water feeding | |
| KR101197392B1 (en) | The phosphorus removal system regarding the automatic determination of coagulant dosing rate using artificial intelligence | |
| CN101464444A (en) | Performance evaluation apparatus and method for film element cleaning agent | |
| CN204142716U (en) | Water pollutions harvester | |
| EP3243071B1 (en) | Method of obtaining or maintaining optical transmittance into deaerated liquid | |
| Hipsey et al. | Pathogen management in surface waters: practical considerations for reducing public health risk | |
| CN212301527U (en) | Pipe wall induced residual chlorine attenuation coefficient measuring device | |
| CN110704808B (en) | Method for judging cleaning condition of secondary water supply and storage equipment | |
| CN209840905U (en) | Measuring device for sediment thickness of settling tank in sewage treatment process | |
| CN205910145U (en) | Total organic carbon water quality analyzer based on firing method | |
| JP2020024144A (en) | Method for evaluating biofilm forming potential of test water of treatment apparatus | |
| RU2807163C1 (en) | Method for determining remaining service life of pipelines for sewerage and heating networks | |
| JP2015016415A (en) | Method of setting coagulant injection rate | |
| Braga | Investigation of the Physical Mechanisms Behind the Deposition and Mobilization of Iron Oxide Particles on PVC Drinking Water Pipes | |
| CN203259192U (en) | Automatic monitoring system of reuse of recycled water | |
| García et al. | Artificial-intelligence-model to optimize biocide dosing in seawater-cooled industrial process applications considering environmental, technical, energetic, and economic aspects | |
| JP2001208657A (en) | Aggregation process device and slurry property measuring device | |
| CN114047228A (en) | Device and method for analyzing sediment oxygen-consuming pollutants | |
| Pratofiorito et al. | Application of online biofilm sensors for membrane performance assessment in high organic load reverse osmosis feed streams | |
| CN205643228U (en) | A pH value measurement circuit for water quality monitoring |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |