RU2760167C1 - Intelligent system for determining technical condition of pipeline valves - Google Patents

Abstract

FIELD: pipeline monitoring.

SUBSTANCE: invention relates to the field of automated process control systems and can be used for complex monitoring and diagnostics of the technical condition of pipeline valves (hereinafter referred to as PLV) at controlled telemechanics points, compressor shops and gas pumping units. The objective of the invention is to increase the reliability of the PLV. The task is solved, and the expected result is achieved by an intelligent system (hereinafter referred to as IS) consisting of a module for determining the number of fault signals of the PLV state, a module for determining adjacent pressures and outdoor air temperature, a module for determining the pressure drop on the PLV, a module for determining the number of PLV permutations, a module for determining the duration of the PLV permutation, a real-time database, an archive time database, a database of compliance of PLV sensors, as well as an event log.

EFFECT: centralized collection, accounting, storage and processing of the maximum array of data from lower-level systems, including the technical condition of the PLV in order to monitor its condition for timely maintenance and repair of the PLV and to exclude the possibility of incidents and accidents at production facilities.

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Description

The invention relates to the field of automated control systems for technological processes and can be used for integrated monitoring and diagnostics of the technical condition of pipeline valves (hereinafter referred to as TPA) at controlled telemechanics points (hereinafter referred to as KP), compressor shops (hereinafter referred to as KC) and gas pumping units (hereinafter referred to as GPU ).

At the moment, there are several types of dispatch control and management systems (hereinafter - SDKU), with the help of which the technical condition of the injection molding machine is monitored [1, 2].

The main disadvantages of the above systems are:

- the lack of a function for analyzing the technical state of the injection molding machine, due to incomplete processing of the input data array;

- short time interval for storing data on injection molding machines, due to the shallow depth of archives, which is no more than 3 months.

The objective of the invention is to improve the reliability of the injection molding machine.

The technical result is a centralized collection, accounting, storage and processing of the maximum data array from the lower-level systems, including the technical condition of the injection molding machine in order to monitor its condition for timely maintenance and repair of the injection molding machine and to exclude the possibility of incidents and accidents at production facilities.

The task is solved, and the technical result is achieved by an intelligent system (hereinafter - IS), consisting of a module for determining the number of signals of malfunction of the injection molding machine state, a module for determining the adjacent pressures and outside air temperature, a module for determining the pressure difference across the injection molding machine, a module for determining the number of permutations of the injection molding machine, a module for determining the duration of the relocation of the injection molding machine, the real-time database, the archived time database, the database of correspondence of the injection molding machine sensors, as well as the event log.

The declared system can be a complex extension of the functionality of dispatch control systems and can be used both in a network of automated control systems for technological processes and in a network of automated control systems for production and economic activities.

The composition of the IS for determining the technical state of pipeline valves is shown in Fig. 1.

The IS consists of five modules (1-5), a real-time database (6), an archived time base (7), an event log (8) and a TPA sensors correspondence database (9) located in the Central Dispatch Center and receiving information in databases from lower-level systems (analog sensors of pressure, temperature, flow rate, discrete position sensors of the injection molding machine, digital state sensors of the injection molding machine).

System elements perform the following functions:

- module 1 is designed to determine the number of TPA status malfunction signals;

- module 2 is designed to determine the surrounding pressures and temperatures of the outside air;

- module 3 is designed to determine the pressure drop across the injection molding machine; module 4 is designed to determine the number of permutations of the injection molding machine;

- module 5 is designed to determine the duration of the permutation of the injection molding machine;

- real-time database 6 is designed to collect data at the current moment and record in the event log 8;

- the database of archived time 7 is intended for collecting data for the past period of time and recording in the event log 8;

- the database of compliance of the TPA 9 sensors is designed to bind temperature and pressure sensors to a specific injection molding machine, as well as ambient temperature and pressure sensors.

The principle of operation of module 1 is shown in Fig. 2.

The system polls the database of the archived time 7 for all injection molding machines at the KP, KC and GPU, and analyzes their condition. The parameters are read from the archive time database 7 and recorded in the event log 8 (hereinafter - ZhS). The technological parameter of the injection molding machine in the supervisory control system has a number of states ("Crane open", "Crane closed", "Malfunction", "Uncertainty"). Upon receipt of the “Fault” state, the data on the state of the current crane is entered into ZhS 8. Then, the system calculates the above state for all cranes. Thus, it is possible to quickly track the faulty state for each injection molding machine.

The principle of operation of module 2 is shown in Fig. 3.

The system polls the database of the archived time 7 for all injection molding machines at the KP, CC and GPU, an analysis is carried out for the permutation of the injection molding machine. In the event that the permutation of the injection molding machine is completed, a record about it is entered in ZhS 8. Then, the System processes the database of correspondence of the TPA sensors 9.

To determine the pressures and temperatures at the time of the valve relocation, the module has the following algorithm:

- enumeration of events in the log 8;

- when an event is detected, the presence of the TPA parameter in the TPA 9 sensors compliance database is checked;

- when a technological parameter is detected in the TPA 9 sensors compliance database, the presence of pressure and temperature parameters for the TPA parameter is checked;

- if all parameters are present, lines for the states of pressures and temperatures are added to the event log 8 at the moment of completion of the injection molding machine relocation.

Module 2 is designed to determine the external and internal factors affecting the permutation of the injection molding machine, namely, at what temperatures of the outside air and at what pressures the permutation was performed.

The principle of operation of module 3 is shown in Fig. 4.

One of the components of the technical serviceability of the injection molding machine is the minimum pressure drop across the open valve. The maximum pressure difference between the inlet and outlet of the valve is 2 kg / cm ² , taking into account the possible error of the pressure sensors.

The system interrogates technological parameters from the real-time database 6. All injection molding machines are automatically monitored at the CP, CC and GPU, and their condition is analyzed. The algorithm of module 3 takes into account only those taps that have the "Open" state. The data of the injection molding machine with the "Open" state are entered in ZhS 8. Then the System processes the database of correspondence of the injection molding machines 9. When pressure sensors belonging to the injection molding machine with the open state are detected, the difference between them is calculated.

,

,

where

Δ Р - pressure drop;

| P ₁ | - pressure up to TPA;

| P ₂ | - pressure after TPA.

If Δ P > 2, then in ZhS 8 a mark is made about a large drop on the TPA, displaying a section with a kilometer and the name of the linear production department of main gas pipelines, to which the TPA belongs.

The principle of operation of module 4 is shown in Fig. 5.

The system interrogates the database of the archived time 7. For a certain time interval, information is collected on the TPA. Further, in ZhS 8, records of TPA events are entered with the states “Open”, “Closed”, “Not defined”. After recording in ЖС 8, the TPA permutations are counted.

The general operating principle of the module is divided into the following stages:

- analysis of the structure and primary processing of ZhS 8, which makes it possible to determine errors in the data structure;

- data filtering by types of TPA events "Open", "Closed", "Not defined" to reduce the information volume and speed up data processing;

- preliminary data analysis and statistics collection;

- determination and preservation of TPA permutations according to ZhS (8).

The principle of operation of the module 5 is described in FIG. 6.

The system interrogates the database of the archived time 7. Further, records of the TPA events with the states “Open”, “Closed”, “Not defined” are entered into ZhS 8. Further, the analysis of the ZhS 8 is performed to determine the time interval for the TPA permutation.

The main stages of the algorithm are:

- enumeration of all events of ZhS 8 is performed in chronological order;

- for each event “Open” or “Closed”, according to the SDKU element, the TPA is determined and the final state of the TPA and the time stamp of the event are recorded;

- for each “Open” or “Closed” event, a retrospective search is performed for the closest chronological event “Undefined”;

- upon reaching the "Not defined" event, the search is considered successful, the duration of the permutation is determined as the difference between the time stamps of the "Open" / "Closed" events and the nearest found event "Not defined";

- upon reaching the “Open” or “Closed” event, the search is considered unsuccessful, the duration of the permutation is not determined.

Thanks to information about the number of permutations of the injection molding machine, their duration, as well as the conditions under which the permutation of the injection molding machine was performed, it is possible to draw conclusions about the technical condition of the valves.

The effect of the invention is manifested in the fact that the use of this system allows real-time monitoring of the technical condition of the crane along the entire length of the gas transmission system of the Company, thereby minimizing the possibility of an emergency.

Effective indicators of the invention are:

- reduction of economic costs associated with additional trips to remote sites of the groups of the linear operational service and the service of automated systems of automation and telemechanics to determine the technical condition of the injection molding machine;

- improving the reliability and energy efficiency of gas transportation at the facilities of subsidiaries and branches of PJSC Gazprom;

- increasing the productivity and safety of technological processes of gas transportation.

List of sources

1. Electronic resource. https://www.psi.de (Date of treatment 11/22/2020).

2. Electronic resource. http://vniitf.ru/article/pvkVolna (Date of treatment 11/22/2020).

Claims (1)

An intelligent system for determining the technical condition of pipeline valves (hereinafter referred to as TPA), consisting of a module for determining the number of TPA state malfunction signals, a module for determining the adjacent pressures and outside air temperature, a module for determining the pressure drop across the injection molding machine, a module for determining the number of TPA permutations, a module for determining the duration of the TPA permutation , real-time database, archived time database, TPA sensors correspondence database, as well as an event log.

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