阅读说明：本技术 一种基于机器视觉的蒸汽管道疏水系统及方法 (Steam pipeline drainage system and method based on machine vision ) 是由 赵琼 刘成刚 时伟 于 2021-07-01 设计创作，主要内容包括：本发明公开了一种基于机器视觉的蒸汽管道疏水系统及方法。疏水系统包括电调阀模块,图像采集模块,环境测量模块和控制模块。通过S1在现有的疏水管道上安装电调阀,在疏水口安装图像采集模块；S2判断管道内流体状态设定疏水周期；S3疏水阀开启疏水后口进行图像采集；S4对所采集的大量图像进行模型训练；S5根据步骤S4识别现采集图像中的流体类型；S6在识别到步骤S5中图像内容的流体类型从液体转变为汽体之后,关闭电调阀,停止图像采集；S6不断重复步骤S5到步骤S5,实现自动化疏水。本发明中周期开启疏水阀,同时采用图像识别的方式远程控制关闭疏水阀；全程无需人为参与,安全性高,相比人工巡检的方式,本装置能进行高效的疏水,安全节能。(The invention discloses a steam pipeline drainage system and method based on machine vision. The drainage system comprises an electric adjusting valve module, an image acquisition module, an environment measurement module and a control module. Installing an electric regulating valve on the existing drain pipeline through S1, and installing an image acquisition module at a drain port; s2, judging the state of the fluid in the pipeline and setting a drainage period; s3, opening a hydrophobic rear opening of the hydrophobic valve to acquire images; s4 model training is carried out on the collected images; s5 identifying the type of fluid in the now captured image according to step S4; s6, after the fluid type of the image content is changed from liquid to vapor in the step S5, closing the electric regulating valve and stopping image acquisition; s6 continuously repeats the steps S5 to S5, and automatic water drainage is realized. According to the invention, the drain valve is periodically opened, and meanwhile, the drain valve is remotely controlled to be closed in an image recognition mode; whole journey need not artificial participation, and the security is high, compares the artifical mode of patrolling and examining, and this device can carry out the hydrophobic of efficient, and is safe energy-conserving.)

1. The utility model provides a steam pipeline drainage system based on machine vision which characterized in that: comprises that

The electric tilt valve module is arranged on the drainage pipeline and used as a drainage control valve, and receives an instruction to start or stop drainage operation;

an image acquisition module; the image acquisition module is arranged at an outlet region of the drainage pipeline; the image acquisition module is used for continuously acquiring an original image at the outlet of the drainage pipeline in real time;

an environment measurement module: the environment measuring module is arranged outside the pipeline at the outlet area of the drain pipeline, comprises a temperature sensor and a humidity sensor and is used for continuously acquiring environment parameters at the outlet of the drain pipeline in real time;

the control module analyzes original images before and after the electric control valve module is opened according to the measurement result of the environment measurement module, and judges whether the fluid at the water drainage port is liquid or not after the electric control valve module is opened according to the analysis result of the original images; and then sending an instruction to the electric regulating valve die to continue or stop the drainage operation.

2. A machine vision based steam pipeline drainage system as claimed in claim 1, wherein: the image acquisition module comprises an image acquisition box or an industrial camera.

3. A machine vision based steam pipeline drainage system as claimed in claim 1, wherein: the control module is a cloud or a control center.

4. A machine vision based steam pipeline drainage system as claimed in claim 1, wherein: the wireless communication system further comprises a communication module, and the communication module is used for wireless communication among other modules.

5. A steam pipeline drainage method based on machine vision is characterized by comprising the following steps:

s1, installing an electric regulating valve on the existing drain pipe, and installing an image acquisition module at a drain port;

s2, combining the upper soft measurement result, calculating the steam state of the main pipeline at the drain pipeline, and if the main pipeline is in the superheated steam state, setting a drain period t₁Setting a drainage period t if the steam is in a non-superheated steam state₂；

S3, collecting images of the drain port; image acquisition is started when the electric valve is opened;

s4, acquiring images of each drain port in advance, and training the recognition model as a training set for fluid type recognition;

s5, collecting patterns in real time to identify the type of the fluid by using the training model obtained in S4 every time the electric valve is opened to be hydrophobic;

s6, after the fluid type of the image content is changed from liquid to vapor in the step S5, stopping image acquisition, closing the electric adjusting valve and finishing the water drainage action;

s7 continuously repeats the steps S5 to S6, and automatic water drainage is realized.

6. The machine vision based steam pipe dewatering method of claim 5, wherein: the steam state determination method in step S2 is as follows:

step S21, setting the fluid pressure at the nearest measurement point upstream from the drainage pipeline in the flow direction as T₁And a temperature of P₁(ii) a The fluid pressure at the nearest measurement point downstream in the flow direction is T₂And a temperature of P₂；

Step S22, according to T₁Find T₁Steam boundary saturation pressure P at temperature_S1According to T₂Find T₂Steam boundary saturation pressure P at temperature_S2；

Step S23, if P is₁>P_S1And P is₂>P_S2Then, the main pipeline at the position of the drainage pipeline is considered to be in a superheated steam state, and the drainage period is set to be t₁(ii) a Otherwise, the main pipeline at the position of the drainage pipeline is considered to be in a non-superheated steam state, and the drainage period is set to be t₂。

7. The machine vision based steam pipe dewatering method of claim 5, wherein: the model training method in step S4 is as follows:

step S41, a hydrophobic image is shot through an image acquisition module;

step S42, when the water drainage action is carried out, the air temperature T at the water drainage outlet is recorded simultaneously₀With humidity H₀；

Step S43, marking the image in the step S41, wherein the liquid is marked as liquid, and the vapor is marked as vapor;

step S44, model training is carried out on the hydrophobic image with the mark through a machine learning method to obtain an identification model, and the expression is as follows: g (liquid) ═ F (image, T)₀,H₀)。

Technical Field

The invention relates to water drainage management of a steam pipeline, in particular to a machine vision-based steam pipeline water drainage system and a machine vision-based steam pipeline water drainage method.

Background

Steam conduit's female pipe can produce the comdenstion water in the pipeline at the in-process of carrying steam, current steam drainage system is all through installing the trap passive drainage on the drainage branch pipe, the comdenstion water fills up the branch pipe and will open the trap and drain, if can not in time drain, can cause the ponding in the female pipe, the ponding in the female pipe is more can form the water plug, the water plug is promoted by high-speed steam and gos forward, when meetting the turn or short face and sharply contract, because the inertia of water is big, the striking pipe wall, the elbow, pipe accessories such as valve have just formed the water hammer phenomenon, the water hammer makes the pipeline vibration, the noise is produced, intraductal pressure sharply increases, can cause the destruction of pipeline, valve and equipment when serious.

Therefore, in the prior art, most of drainage of a steam pipe network is manually inspected, and a drainage valve is opened irregularly, so that potential safety hazards exist, workers cannot timely judge whether drainage is finished, the drainage valve can be closed only after steam is sprayed, and high-temperature steam can cause personal injury to operators; moreover, drainage needs to be completed within a period of time, and operators often forget to close the drainage valve after opening the drainage valve, so that a large amount of waste is caused; in the prior art, a drain valve which is automatically opened and closed by liquid level feedback exists, but the drain valve which is closed only by the feedback of the liquid level cannot completely ensure that hundreds of percent of drainage is complete, and is not timely and accurate enough; in addition, the installation and maintenance of the liquid level meter are inconvenient.

Disclosure of Invention

The invention aims to provide a steam pipeline drainage system based on machine vision, which can solve one or more of the technical problems.

In order to achieve the purpose, the technical scheme provided by the invention is as follows:

a steam pipeline drainage system based on machine vision comprises

And the electric tilt valve module is installed on the drainage pipeline and used as a drainage control valve, and receives an instruction to start or stop drainage operation.

An image acquisition module; the image acquisition module is arranged at an outlet region of the drainage pipeline; the image acquisition module is used for continuously acquiring original images at the outlet of the drainage pipeline in real time.

An environment measurement module: the environment measurement module is arranged outside the pipeline of the outlet area of the drain pipe, comprises a temperature sensor and a humidity sensor and is used for continuously acquiring the environment parameters at the outlet of the drain pipe in real time.

The control module analyzes original images before and after the electric control valve module is opened according to the measurement result of the environment measurement module, and judges whether the fluid at the water drainage port is liquid or not after the electric control valve module is opened according to the analysis result of the original images; and then sending an instruction to the electric regulating valve die to continue or stop the drainage operation.

Further: the image acquisition module comprises an image acquisition box or an industrial camera (and related lighting equipment).

Further: the control module is a cloud or a control center.

Further: the wireless communication system further comprises a communication module, and the communication module is used for wireless communication among other modules.

A steam pipeline drainage method based on machine vision comprises the following steps:

s1, installing an electric regulating valve on the existing drain pipe, and installing an image acquisition module at a drain port;

s2, combining the upper soft measurement result, calculating the steam state of the main pipeline at the drain pipeline, and if the main pipeline is in the superheated steam state, setting a drain period t₁Setting a drainage period t if the steam is in a non-superheated steam state₂；

S3, collecting images of the drain port; image acquisition is started when the electric valve is opened;

s4, acquiring images of each drain port in advance, and training the recognition model as a training set for fluid type recognition;

s5, collecting patterns in real time to identify the type of the fluid by using the training model obtained in S4 every time the electric valve is opened to be hydrophobic;

s6, after the fluid type of the image content is changed from liquid to vapor in the step S5, stopping image acquisition, closing the electric adjusting valve and finishing the water drainage action;

s7 continuously repeats the steps S5 to S6, and automatic water drainage is realized.

Further: the steam state determination method in step S2 is as follows:

step S21, setting the fluid pressure at the nearest measurement point upstream from the drainage pipeline in the flow direction as T₁And a temperature of P₁(ii) a The fluid pressure at the nearest measurement point downstream in the flow direction is T₂And a temperature of P₂；

Step S22, according to T₁Find T₁Steam boundary saturation pressure P at temperature_S1According to T₂Find T₂Steam boundary saturation pressure P at temperature_S2；

Step S23, if P is₁>P_S1And P is₂>P_S2Then, the main pipeline at the position of the drainage pipeline is considered to be in a superheated steam state, and the drainage period is set to be t₁(ii) a Otherwise, the main pipeline at the position of the drainage pipeline is considered to be in a non-superheated steam state, and the drainage period is set to be t₂。

Further: the model training method in step S4 is as follows:

step S41, a hydrophobic image is shot through an image acquisition module;

step S42, when the water drainage action is carried out, the air temperature T at the water drainage outlet is recorded simultaneously₀With humidity H₀；

Step S43, marking the image, wherein the liquid mark is liquid and the vapor mark is vapor; the labeling here is usually an experienced skilled worker.

Step S44, model training is carried out on the hydrophobic image with the mark through a machine learning method to obtain an identification model, and the expression is as follows: g (liquid) ═ F (image, T)₀,H₀)。

The invention has the technical effects that:

the invention adopts the periodic opening of the drain valve and adopts the image recognition mode to remotely control the closing of the drain valve; whole journey need not artificial participation, and the security is high, need not to reform transform steam conduit inside simultaneously, only need reform transform steam conduit outside just can remote control, compare the artifical mode of patrolling and examining, this device safe and reliable more carries out the hydrophobic of efficient, and is safe energy-conserving.

Drawings

FIG. 1 is a schematic flow diagram of the present invention;

FIG. 2 is a schematic representation of a model of the present invention;

fig. 3 is a flowchart illustrating the steam status determination method in step S2;

fig. 4 is a flowchart illustrating the model training method in step S4.

Detailed Description

The present invention will now be described in detail with reference to specific embodiments, wherein the exemplary embodiments and descriptions are provided only to explain the present invention and should not be construed as unduly limiting the invention.

It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.

The terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

A machine vision based steam pipe drainage system: comprises that

And the electric tilt valve module is installed on the drainage pipeline and used as a drainage control valve, and receives an instruction to start or stop drainage operation.

An image acquisition module; the image acquisition module is arranged at an outlet region of the drainage pipeline; the image acquisition module is used for continuously acquiring original images at the outlet of the drainage pipeline in real time.

An environment measurement module: the environment measuring module is arranged outside the pipeline at the outlet area of the drain pipeline, comprises a temperature sensor and a humidity sensor and is used for continuously acquiring environment parameters at the outlet of the drain pipeline in real time;

the control module analyzes original images before and after the electric control valve module is opened according to the measurement result of the environment measurement module, and judges whether the fluid at the water drainage port is liquid or not after the electric control valve module is opened according to the analysis result of the original images; and then sending an instruction to the electric regulating valve die to continue or stop the drainage operation.

The drainage system can be used for any pipeline needing drainage, is particularly suitable for a steam pipeline, finishes drainage by periodically opening the drainage valve and identifying the fluid type of the drainage port, and is more energy-saving and efficient.

For those skilled in the art, it is obvious that the installation of each module may be adjusted or installed according to the actual situation, and is not limited herein.

Preferably: the image acquisition module is preferably an industrial camera or an image acquisition box; while also being equipped with associated lighting devices. The definition is high, and other photographic and video recording devices can be used for the image acquisition module in the invention.

Preferably: the control module is a cloud or a control center. Logic relations among the modules are controlled and adjusted through a cloud or a control center, and remote control drainage is achieved.

Preferably: the wireless communication system further comprises a communication module, and the communication module is used for wireless communication among other modules. In the invention, the communication between other modules is completed through the communication module. The communication module includes but is not limited to 2G, 3G, 4G, bluetooth, GPRS, etc.

In certain embodiments, the present invention also provides a machine vision-based steam pipe drainage method, comprising the steps of:

s1, installing an electric regulating valve on the existing drain pipe, and installing an image acquisition module at a drain port;

s2, combining the upper soft measurement result, calculating the steam state of the main pipeline at the drain pipeline, and if the main pipeline is in the superheated steam state, setting a drain period t₁Setting a drainage period t if the steam is in a non-superheated steam state₂. The setting of the hydrophobic period is set according to the condition of an actual pipeline, and the hydrophobic period is confirmed through a plurality of tests.

The steam state judgment method in step S2 here is as follows:

step S21, setting the fluid pressure at the nearest measurement point upstream from the drainage pipeline in the flow direction as T₁And a temperature of P₁(ii) a The fluid pressure at the nearest measurement point downstream in the flow direction is T₂And a temperature of P₂；

Step S22, according to T₁Find T₁Steam boundary saturation pressure P at temperature_S1According to T₂Find T₂Steam boundary saturation pressure P at temperature_S2；

Step S23, if P is₁>P_S1And P is₂>P_S2Then, the main pipeline at the position of the drainage pipeline is considered to be in a superheated steam state, and the drainage period is set to be t₁(ii) a Otherwise (at least three conditions are (1) P₁＜P_S2，P₂＞P_S2。(2)P₁＜P_S2，P₂＜P_S2。(3)

P₁＞P_S2，P₂＜P_S2) Then, the main pipeline at the position of the drainage pipeline is considered to be in a non-superheated steam state, and the drainage period is set to be t₂。

S3, collecting images of the drain port; image acquisition is started when the electric valve is opened; preferably: the images are acquired at time intervals t, such as 2S or 3S, or may be acquired at longer intervals, which is not limited herein.

The image acquisition condition is adjusted according to the actual hydrophobic condition and the image resolution condition, and a plurality of image results are obtained during hydrophobic condition so as to more accurately identify the condition in the image.

S4 is to collect images of each drain hole in advance, where a large number of pictures, for example 10000 pictures, are needed, and the number is adjusted according to actual situations, which is not limited. And taking the set of pictures as a training set for fluid type recognition, and training the recognition model.

The identification of the fluid on the image is formed after the manual marking and the training of the big data sample are combined, the marked hydrophobic image and the data which is acquired in the step S3 and is synchronous with the image capturing are used for training, and after the training sample amount is large enough, the automatic judgment of whether the fluid discharged from the hydrophobic port is liquid or not can be completely realized.

The model training method in step S4 is as follows:

step S41, a hydrophobic image is shot through an image acquisition module;

step S42, when the water drainage action is carried out, the air temperature T at the water drainage outlet is recorded simultaneously₀With humidity H₀；

Step S43, marking the image in the step S41, wherein the liquid is marked as liquid, and the vapor is marked as vapor;

step S44, model training is carried out on the hydrophobic image with the mark through a machine learning method to obtain an identification model, and the expression is as follows: g (liquid) ═ F (image, T)₀,H₀)。

S5, collecting patterns in real time to identify the type of the fluid by using the training model obtained in S4 every time the electric valve is opened to be hydrophobic;

s6, after the fluid type of the image content is changed from liquid to vapor in the step S5, stopping image acquisition, closing the electric adjusting valve and finishing the water drainage action;

s7 continuously repeats the steps S5 to S6, and automatic water drainage is realized.

The water drainage method can greatly save the labor cost, drain water efficiently, and save energy safely.

The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.