CN110895867A - Dynamic alarm method for tailings conveying pipeline based on pressure signal - Google Patents
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Abstract
本发明属于尾矿输送管道状态监测技术领域，尤其是涉及一种基于压力信号的尾矿输送管道动态报警方法，其特征在于，包括如下步骤：步骤1：建立隔膜泵出口处压力机理模型；步骤2：采集隔膜泵设定值数据，建立数据库；步骤3：使用最小二乘法，拟合出隔膜泵出口压力与隔膜泵设定值之间的关系式；步骤4：建立隔膜泵设定值与报警阈值的关系式并制定报警规则；步骤5：将实时采集到的压力值与报警阈值进行比较，决定是否报警。本发明通过建立隔膜泵机理模型了解其压力变化规律，通过数据拟合方法建立了报警阈值动态计算公式，并根据实际情况建立报警规则，实现了尾矿输送系统的监测报警功能，有效地避免了有警不报和无警误报的问题。
The invention belongs to the technical field of tailings conveying pipeline state monitoring, and in particular relates to a dynamic alarm method for tailings conveying pipelines based on pressure signals. 2: Collect the set value data of the diaphragm pump and establish a database; Step 3: Use the least squares method to fit the relationship between the outlet pressure of the diaphragm pump and the set value of the diaphragm pump; Step 4: Establish the set value of the diaphragm pump and the set value of the diaphragm pump. The relationship between the alarm threshold and the alarm rules are formulated; Step 5: Compare the pressure value collected in real time with the alarm threshold to decide whether to alarm. The invention understands its pressure variation law by establishing a mechanism model of the diaphragm pump, establishes a dynamic calculation formula of the alarm threshold value through a data fitting method, and establishes an alarm rule according to the actual situation, realizes the monitoring and alarm function of the tailings conveying system, and effectively avoids the need for There are problems of no alarm and no alarm and false alarm.
Description
Technical Field
The invention belongs to the technical field of monitoring of states of tailing conveying pipelines, and particularly relates to a dynamic alarming method for a tailing conveying pipeline based on pressure signals.
Background
In the tailing conveying process, the tailings of the separation products in the ore dressing need to be conveyed to a tailing dam for storage, so that firstly, pollution is prevented, and secondly, secondary development and utilization are waited. The tailings are powered by a diaphragm pump and are conveyed to a tailing dam through a tailing conveying pipeline.
In the actual production process, problems of pipeline blockage, pipeline leakage and the like can occur, and if the problems are found out not timely, serious consequences such as pipeline crack, large-range tailing leakage and the like can be caused. The pipeline blockage and pipeline leakage can cause the change of pipeline pressure at the outlet of the diaphragm pump, and the pressure sensor is generally arranged at the outlet of the diaphragm pump, so that pressure data can be obtained in real time. Therefore, the pressure value of the pipeline at the outlet of the diaphragm pump is monitored in real time, so that the state of the tailing conveying pipeline can be monitored to judge whether the tailing conveying pipeline breaks down or not. However, in daily production operations, the diaphragm pump needs to be adjusted according to actual production requirements, and the pressure value of the pipeline at the outlet also changes under normal conditions. According to the traditional alarm method, when the fixed threshold range is set to be too large, the situation that an alarm is not given out due to a problem is caused; when the fixed threshold range is set too small, a no problem false alarm condition will result.
At present, no automatic and effective alarm method exists for the faults of the tailing conveying pipeline, and whether the faults occur is judged only through the experience of workers on site.
Disclosure of Invention
The invention aims to solve the problem that a set of automatic and effective alarm system aiming at the faults of a tailing pipeline does not exist in a tailing pipeline conveying field, and provides a tailing pipeline dynamic alarm method based on pressure signals.
The purpose of the invention is realized by the following technical scheme:
the invention discloses a pressure signal-based dynamic alarm method for a tailing conveying pipeline, which is characterized by comprising the following steps of:
step 1: establishing a pressure mechanism model at an outlet of the diaphragm pump, and analyzing a change rule;
step 2: pressure data at the outlet of the diaphragm pump is collected through a pressure sensor, meanwhile, set value data of the diaphragm pump are collected, a database is established, and the pressure data and the set value data are simultaneously collected in time so as to avoid influence on the setting of an alarm threshold value;
and step 3: fitting a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump by using a least square method;
and 4, step 4: establishing a relational expression of a diaphragm pump set value and an alarm threshold value according to the fitting relational expression in the step 3 and formulating an alarm rule;
and 5: and comparing the pressure value acquired in real time with an alarm threshold value, and determining whether to alarm or not according to an alarm rule.
In the step 1, a pressure mechanism model at the outlet of the diaphragm pump is established, and a change rule is analyzed, and the method specifically comprises the following steps:
step 1.1: establishing a diaphragm pump mechanism model;
Q＝Q1+Q2+Q3+…+Qn
p＝α·Q
step 1.2: and (4) determining the pressure change rule of the outlet pipeline according to the mechanism model in the step (1).
In the step 2, pressure data at the outlet pressure of the diaphragm pump is collected through the pressure sensor, meanwhile, data of the set value of the diaphragm pump is collected, and a database is established, wherein the method specifically comprises the following steps:
step 2.1: under the condition of the same diaphragm pump set value, acquiring data of the change of the pressure of a pump outlet pipeline of the diaphragm pump along with time, and extracting the maximum value and the minimum value in each period;
step 2.2: and (4) adjusting the set value of the diaphragm pump, repeating the step 2.1, and establishing 2 databases of the maximum value of the set value of the diaphragm pump-outlet pressure of each period and the minimum value of the set value of the diaphragm pump-outlet pressure of each period.
In the step 3, a least square method is used for fitting a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump, and the specific steps are as follows:
step 3.1: selecting a first-order, second-order, third-order and fourth-order polynomial function to fit a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump;
step 3.2: and (4) selecting the most appropriate fitting function according to the fitting result in the step 3.1, and storing the function relation.
In the step 4, according to the fitting relation in the step 3, a relation between a set value of the diaphragm pump and an alarm threshold is established, and an alarm rule is formulated, and the specific steps are as follows:
step 4.1: establishing an alarm threshold value relational expression according to the functional relational expression fitted in the step 3 and the data collected in the step 1;
step 4.2: and (4) formulating an alarm rule according to the running condition of the actual diaphragm pump.
The invention has the advantages that:
compared with the prior art, the tailings conveying pipeline dynamic alarm method based on the pressure signal has the following advantages that: the pressure change rule of the diaphragm pump is known by establishing a mechanism model of the diaphragm pump, an alarm threshold dynamic calculation formula is established by a data fitting method, and an alarm rule is established according to the actual situation. The monitoring and alarming function of the tailing conveying system is realized, and the problems of no alarm and no false alarm are effectively avoided.
Drawings
Fig. 1 is a flow chart of a dynamic alarm method for a tailing conveying pipeline of the invention.
FIG. 2 is a plot of the fitted diaphragm pump set point as a function of the upper alarm threshold pressure at the outlet in an example of the invention.
FIG. 3 is a plot of the fitted diaphragm pump set point as a function of the lower alarm threshold pressure at the outlet in an example of the invention.
FIG. 4 is a graph of pressure data and alarm threshold values collected in real time in an example of the invention.
Detailed Description
The following further describes the embodiments of the present invention with reference to the drawings.
As shown in fig. 1-4, the method for dynamically alarming the tailings conveying pipeline based on the pressure signal is characterized by comprising the following steps:
step 1: establishing a pressure mechanism model at an outlet of the diaphragm pump, and analyzing a change rule;
step 2: pressure data at the outlet of the diaphragm pump is collected through a pressure sensor, meanwhile, set value data of the diaphragm pump are collected, a database is established, and the pressure data and the set value data are simultaneously collected in time so as to avoid influence on the setting of an alarm threshold value;
and step 3: fitting a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump by using a least square method;
and 4, step 4: establishing a relational expression of a diaphragm pump set value and an alarm threshold value according to the fitting relational expression in the step 3 and formulating an alarm rule;
and 5: and comparing the pressure value acquired in real time with an alarm threshold value, and determining whether to alarm or not according to an alarm rule.
In the step 1, a pressure mechanism model at the outlet of the diaphragm pump is established, and a change rule is analyzed, and the method specifically comprises the following steps:
step 1.1: establishing a diaphragm pump mechanism model:
Q＝Q1+Q2+Q3+…+Qn
p＝α·Q
step 1.2: and (4) determining the pressure change rule of the outlet pipeline according to the mechanism model in the step (1).
In the step 2, pressure data at the outlet pressure of the diaphragm pump is collected through the pressure sensor, meanwhile, data of the set value of the diaphragm pump is collected, and a database is established, wherein the method specifically comprises the following steps:
step 2.1: under the condition of the same diaphragm pump set value, acquiring data of the change of the pressure of a pump outlet pipeline of the diaphragm pump along with time, and extracting the maximum value and the minimum value in each period;
step 2.2: and (4) adjusting the set value of the diaphragm pump, repeating the step 2.1, and establishing 2 databases of the maximum value of the set value of the diaphragm pump-outlet pressure of each period and the minimum value of the set value of the diaphragm pump-outlet pressure of each period.
In the step 3, a least square method is used for fitting a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump, and the specific steps are as follows:
step 3.1: selecting a first-order, second-order, third-order and fourth-order polynomial function to fit a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump;
step 3.2: and (4) selecting the most appropriate fitting function according to the fitting result in the step 3.1, and storing the function relation.
In the step 4, according to the fitting relation in the step 3, a relation between a set value of the diaphragm pump and an alarm threshold is established, and an alarm rule is formulated, and the specific steps are as follows:
step 4.1: establishing an alarm threshold value relational expression according to the functional relational expression fitted in the step 3 and the data collected in the step 1;
step 4.2: and (4) formulating an alarm rule according to the running condition of the actual diaphragm pump.
Example 1
The following will explain the specific implementation of the present invention in detail by taking the actual situation of a certain concentrating mill 1 as an example with reference to fig. 1.
The dynamic alarm method for the tailing conveying pipeline comprises the following steps:
step 1: establishing a pressure mechanism model at an outlet of the diaphragm pump, and analyzing a change rule;
step 1.1: the plant adopts a three-cylinder single-action diaphragm pump, and establishes a diaphragm pump mechanism model:
Q＝Q1+Q2+Q3
step 1.2: determining the pressure change rule of the outlet pipeline according to the mechanism model in the step 1, which comprises the following specific steps:
step 2: pressure data at the outlet of the diaphragm pump is collected through the pressure sensor, and meanwhile data of set values of the diaphragm pump are collected to establish a database. The pressure data and the set value data are ensured to be simultaneously acquired in time so as to avoid influencing the setting of the alarm threshold value;
step 2.1: under the condition of the same diaphragm pump set value, acquiring data of the change of the pressure of a pump outlet pipeline of the diaphragm pump along with time, and extracting the maximum value and the minimum value in each period;
step 2.2: and (4) adjusting the set value of the diaphragm pump, repeating the step 2.1, and establishing 2 databases of the maximum value of the set value of the diaphragm pump-outlet pressure of each period and the minimum value of the set value of the diaphragm pump-outlet pressure of each period.
And step 3: fitting a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump by using a least square method;
step 3.1: selecting a first-order, second-order, third-order and fourth-order polynomial function to fit a relational expression between the outlet pressure of the diaphragm pump and a set value of the diaphragm pump;
step 3.2: selecting the most appropriate fitting function according to the fitting result in the step 3.1, and storing a function relation formula, wherein the relation formula is as follows:
the fitting function of the set value of the diaphragm pump and the maximum value of the pressure at the outlet is as follows:
f(x)＝-0.2354x2+76.98x+1.672
the fitting function of the diaphragm pump set value and the pressure minimum value at the outlet is as follows:
f(x)＝-0.233x2+76.69x+2.661
and 4, step 4: establishing a relational expression of a diaphragm pump set value and an alarm threshold value according to the fitting relational expression in the step 3 and formulating an alarm rule;
step 4.1: establishing an alarm threshold value relational expression according to the functional relational expression fitted in the step 3 and the data collected in the step 1, wherein the relational expression is as follows:
the relation between the set value of the diaphragm pump and the upper limit alarm threshold value of the pressure at the outlet is as follows:
f(x)＝-0.2354x2+76.98x+20
the relation between the set value of the diaphragm pump and the lower limit alarm threshold value of the pressure at the outlet is as follows:
f(x)＝-0.233x2+76.69x-20
step 4.2: according to the operation condition of the actual diaphragm pump, an alarm rule is formulated as follows:
pressure upper limit alarm rules:
the first step is as follows: judging whether the maximum value in continuous 5 working cycles of the diaphragm pump is larger than the upper pressure limit alarm threshold value or not;
the second step is that: if the judgment in the first step is negative, no alarm is given; otherwise, judging whether the membrane pump set value in the third period is larger than the set value in the first period;
the third step: if the second step is judged to be negative, no alarm is given; otherwise, a first-level upper limit alarm is sent to remind an operator of pressure rise caused by problems such as pipeline blockage.
The fourth step: and if the upper limit alarm is sent out, the first step to the third step are repeated in the next 5 periods. And if the set value is unchanged and the pressure value continuously exceeds the upper limit alarm threshold value, a secondary upper limit alarm is sent out.
And (3) a lower pressure limit alarm rule:
the first step is as follows: judging whether the minimum value in continuous 5 working cycles of the diaphragm pump is smaller than a pressure lower limit early warning value or not;
the second step is that: if the judgment in the first step is negative, no alarm is given; otherwise, judging whether the set value of the diaphragm pump in the third period is smaller than the set value in the first period;
the third step: if the second step is judged to be negative, no alarm is given; otherwise, a lower limit alarm is sent to remind an operator of pressure reduction caused by problems such as pipeline leakage and the like.
The fourth step: and if the lower limit alarm is sent out, the first step to the third step are repeated in the next 5 periods. If the set value is unchanged and the pressure value is continuously lower than the lower limit alarm threshold value, a secondary lower limit alarm is sent out.
And 5: and comparing the pressure value acquired in real time with an alarm threshold value, and determining whether to alarm or not according to an alarm rule.
The results of example 1 are shown in fig. 4, which shows the upper alarm threshold, the lower alarm threshold and the real-time data collected during a certain period of time. The time interval for collecting data in this example is 1 second, and the total time is 839 seconds. As can be seen from the figure, the alarm threshold varies with the change in the diaphragm pump setting. Meanwhile, most pressure data can be seen to be in the upper limit alarm threshold range and the lower limit alarm threshold range, when the set value of the diaphragm pump is changed, some pressure data are out of the alarm threshold range, and according to the alarm rule in the step 4, the time that the pressure value is out of the threshold range in the graph is less than 3 diaphragm pump working cycles, so that the alarm cannot be given.
Compared with the existing method, the tailings conveying pipeline dynamic alarm method based on the pressure signal has the following advantages that: the pressure change rule of the diaphragm pump is known by establishing a mechanism model of the diaphragm pump, an alarm threshold dynamic calculation formula is established by a data fitting method, and an alarm rule is established according to the actual situation. The monitoring and alarming function of the tailing conveying system is realized, and the problems of no alarm and no false alarm are effectively avoided.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111932843A (en) * | 2020-07-01 | 2020-11-13 | 中国人民解放军海军工程大学 | Method for monitoring and alarming on-line of mobile equipment to limit repeated crossing |
| CN112115602A (en) * | 2020-09-14 | 2020-12-22 | 北京博望华科科技有限公司 | Coal mill pipeline blockage state determination method and device, storage medium and computing equipment |
| CN112502955A (en) * | 2020-11-30 | 2021-03-16 | 东北大学 | Safe starting method of three-cylinder single-action diaphragm pump |
| CN112859586A (en) * | 2021-01-12 | 2021-05-28 | 东北大学 | Diaphragm pump system safe operation guaranteeing method based on fuzzy PID control |
| CN113963520A (en) * | 2021-10-22 | 2022-01-21 | 西安忒亚科技有限公司 | Alarm algorithm for pressure of gathering and transportation pipeline |
| CN114216386A (en) * | 2021-12-07 | 2022-03-22 | 中煤浙江测绘地理信息有限公司 | Pipeline inner surface detection method and system, storage medium and intelligent terminal |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102182928A (en) * | 2011-01-25 | 2011-09-14 | 云南大红山管道有限公司 | Intelligent measuring system and method for transport volume of ore pulp pipes |
| CN202500758U (en) * | 2012-03-16 | 2012-10-24 | 中国有色(沈阳)泵业有限公司 | A diaphragm pump on-line detection system |
| CN202937433U (en) * | 2012-11-26 | 2013-05-15 | 昆明理工大学 | Diaphragm pump failure warning system based on vibration detection |
| CN204213647U (en) * | 2014-10-24 | 2015-03-18 | 陕西神渭煤炭管道运输有限责任公司 | The blocking of a kind of long distance coal slurry pipeline is location and dredging indicating device accurately |
| CN107605721A (en) * | 2017-07-24 | 2018-01-19 | 昆明理工大学 | A kind of ore slurry pipeline high-pressure diaphragm pump health status Prediction System and method |
-
2019
- 2019-11-13 CN CN201911104563.4A patent/CN110895867A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102182928A (en) * | 2011-01-25 | 2011-09-14 | 云南大红山管道有限公司 | Intelligent measuring system and method for transport volume of ore pulp pipes |
| CN202500758U (en) * | 2012-03-16 | 2012-10-24 | 中国有色(沈阳)泵业有限公司 | A diaphragm pump on-line detection system |
| CN202937433U (en) * | 2012-11-26 | 2013-05-15 | 昆明理工大学 | Diaphragm pump failure warning system based on vibration detection |
| CN204213647U (en) * | 2014-10-24 | 2015-03-18 | 陕西神渭煤炭管道运输有限责任公司 | The blocking of a kind of long distance coal slurry pipeline is location and dredging indicating device accurately |
| CN107605721A (en) * | 2017-07-24 | 2018-01-19 | 昆明理工大学 | A kind of ore slurry pipeline high-pressure diaphragm pump health status Prediction System and method |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111932843A (en) * | 2020-07-01 | 2020-11-13 | 中国人民解放军海军工程大学 | Method for monitoring and alarming on-line of mobile equipment to limit repeated crossing |
| CN112115602A (en) * | 2020-09-14 | 2020-12-22 | 北京博望华科科技有限公司 | Coal mill pipeline blockage state determination method and device, storage medium and computing equipment |
| CN112115602B (en) * | 2020-09-14 | 2024-02-02 | 北京博望华科科技有限公司 | Coal mill pipeline blocking state determining method and device, storage medium and computing equipment |
| CN112502955A (en) * | 2020-11-30 | 2021-03-16 | 东北大学 | Safe starting method of three-cylinder single-action diaphragm pump |
| CN112502955B (en) * | 2020-11-30 | 2021-11-30 | 东北大学 | Safe starting method of three-cylinder single-action diaphragm pump |
| CN112859586A (en) * | 2021-01-12 | 2021-05-28 | 东北大学 | Diaphragm pump system safe operation guaranteeing method based on fuzzy PID control |
| CN113963520A (en) * | 2021-10-22 | 2022-01-21 | 西安忒亚科技有限公司 | Alarm algorithm for pressure of gathering and transportation pipeline |
| CN114216386A (en) * | 2021-12-07 | 2022-03-22 | 中煤浙江测绘地理信息有限公司 | Pipeline inner surface detection method and system, storage medium and intelligent terminal |
| CN114216386B (en) * | 2021-12-07 | 2024-05-03 | 中煤浙江测绘地理信息有限公司 | Pipeline inner surface detection method, system, storage medium and intelligent terminal |
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