CN111898930A - Petrochemical safety equipment data acquisition method and system fusing information safety failure - Google Patents
Petrochemical safety equipment data acquisition method and system fusing information safety failure Download PDFInfo
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Abstract
A petrochemical safety equipment data acquisition method and system fusing information safety failure comprises the following steps: (1) performing requirement analysis on the equipment to determine data acquisition requirements and objects; (2) carrying out hierarchical division on equipment to be acquired; (3) dividing the boundary of the acquisition object; (4) designing equipment codes and standardized failure mechanisms, reasons and detection method codes; (5) formulating an equipment data acquisition form; (6) optimizing and designing the collected form by fusing information security failure; (7) debugging and sampling the acquisition system; (8) formally acquiring data and rejecting unqualified data; (9) and constructing a local database to realize the access to the database. The invention carries out unified management on all the acquired data of the petrochemical safety equipment through the reliability database, and updates and shares the data information of equipment delivery parameters, operation, failure, detection, maintenance and the like in time, thereby gradually perfecting the reliability database of the petrochemical safety equipment.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to an optimized design of a reliable data acquisition scheme of petrochemical equipment, which is particularly suitable for a task of acquiring information security failure data of security equipment which is easy to suffer from network attack.
[ technical background ] A method for producing a semiconductor device
The petrochemical industry, as an important national backbone industry, widely covers petroleum, petrochemical, chemical industry and other aspects. Due to the particularity of the petrochemical industry, once a production system fails, serious consequences such as life safety, national strategic safety and the like can be caused. Petrochemical equipment reliability data acquisition is a key field of information technology application, and Reliability and Maintenance (RM) data related to equipment are basic data for reliability analysis and reliability parameter calculation, so the completeness and consistency of field acquired data directly influence the accuracy of reliability evaluation. In particular, only by mastering the reliability of the safety equipment in the production field, the petrochemical safety equipment can better make maintenance measures to ensure that the safety equipment can ensure the safe operation of the device when an emergency occurs, but the reliability data which is used as the representation of the operation state of the safety equipment also becomes an object for network attack of an intruder.
Petrochemical plant reliability data collection work was carried out abroad as early as the eighties of the twentieth century, and norwegian DNV issued the ortaa data manual 5 th edition in 2009, which was responsible for providing field failure data and maintenance data for various plants it uses for production, both offshore and onshore. The technical equipment reliability data guide issued by the united states chemical process safety center (CCPS) provides guidance for data acquisition and arrangement of chemical equipment, and failure rates of specified technical units and equipment in disastrous, degradation period and slight accidents are provided in a data sheet, and a schematic diagram for dividing equipment boundaries is attached. The above mentioned device reliability database and manual reflect the reliability level of foreign devices, but do not consider the threat of petrochemical device reliability data as the object of network attack initiated by intruder, and do not make a data acquisition scheme comprehensively considering two dimensions of function and information security.
As for an equipment reliability data acquisition system, the GB/T20172-2006 Standard of acquisition and exchange of reliability and maintenance data of petroleum and natural gas industrial equipment is issued in 2006, 9, 1. The standard provides a recommended practice for equipment reliability and maintenance data in the petroleum and gas industry, and the standard starts from common term definition in data acquisition, standardizes data quality control, equipment boundary and a hierarchical system, particularly standardizes an acquired field data information structure, standardizes equipment reliability data arrangement and entry into a database, and improves equipment processing efficiency. However, the comprehensive consideration of the information safety and the function safety fusion failure is in the research starting stage, so that the toughness of the data acquisition system can be improved, and the development of the petrochemical industry towards intelligent informatization is promoted.
[ summary of the invention ]
The invention aims to provide a petrochemical equipment data acquisition method and system integrating information safety failure, which are used for acquiring equipment reliability and maintenance data and recording the data according to requirements so as to accurately reflect the actual condition of the equipment and provide a practical basis for full life cycle management and information safety protection. The method comprises the following steps:
(1) the method comprises the steps of performing demand analysis on petrochemical equipment to determine data acquisition demands, and listing an equipment list to be acquired;
(2) dividing equipment needing data acquisition according to different levels to form a hierarchical data structure;
(3) dividing the boundary of the collected object according to the data collection standard and the engineering experience of the petrochemical industry;
(4) designing equipment codes and standardized failure modes, failure mechanisms, failure reasons and failure detection method codes based on the equipment layering theory, improving the data transmission efficiency and saving the storage memory;
(5) formulating an equipment reliability data acquisition form which comprises an equipment unit data form, a failure data form and a maintenance data form (the maintenance data covers three types of forms of repairability, preventability and predictive maintenance);
(6) optimizing and designing a data acquisition form by fusing information security failures;
(7) simulating the actual working environment of the equipment to debug and try to collect the data acquisition system;
(8) removing unqualified data in the formal data acquisition process, and inputting qualified high-quality data into an equipment reliability database;
(9) and constructing a local database to realize remote access to the internal network and the external network of the database.
The invention constructs a data acquisition model fusing information security failure for dealing with the threat that equipment is attacked by a network; on the basis, a unified equipment failure mechanism, failure reasons and failure detection mode codes are provided to improve the data transmission efficiency, optimize the data management mode and save the data storage space; modern predictive repair is incorporated into data collection based on reclassification of repair activities, providing data support for the advancement of subsequent troubleshooting techniques.
[ description of the drawings ]
(Note: the minimum data that needs to be collected to satisfy the reliability requirement is marked with the star! in the form)
FIG. 1 general process for collecting reliability and maintenance data of petrochemical safety equipment
FIG. 2 petrochemical hierarchy equipment hierarchy map
FIG. 3 is a fragmentary view of a pressure transmitter apparatus
FIG. 4 device unit data table for petrochemical security devices
FIG. 5 equipment failure code look-up table for petrochemical security devices
FIG. 6 pressure transmitter failure mode code table
FIG. 7 pressure transmitter device Unit data sheet
FIG. 8 pressure transmitter device failure data sheet
FIG. 9 pressure transmitter equipment repairability maintenance data sheet
FIG. 10 pressure transmitter equipment preventive maintenance data sheet
FIG. 11 pressure transmitter device specific data sheet
FIG. 12 pressure transmitter information security feature submodule
FIG. 13 maintenance activities classification chart
FIG. 14 pressure transmitter device predictive maintenance data table
[ detailed description ] A
(1) The petrochemical industry plant area comprises rotary equipment, mechanical equipment, electrical equipment, safety equipment, underwater equipment, well completion equipment, drilling equipment, offshore equipment, auxiliary equipment, public equipment and the like.
(2) The equipment needing data acquisition is divided into layers, fig. 2 is the equipment layer division of the whole petrochemical production system, and fig. 3 is an equipment subdivision diagram for the pressure transmitter.
(3) The boundary of the collected object is divided according to the following engineering experience, and fig. 4 is a boundary division diagram of the pressure transmitter:
(a) not including items that are unique in design or configuration, but only items that are considered generic to the class of device under consideration, for "peer-to-peer" comparison.
(b) Connections not explicitly included in the boundary specification should be excluded from the device class boundary and faults occurring in the connection, not only in relation to the connection, should be included within the boundary definition.
(c) If a power machine and a driven unit use a common subunit, failure and maintenance events of this subunit are typically linked to the driven unit.
(d) Should be included in the boundary if the meter has a particular control or monitoring function when it is in question with the equipment unit in question or is itself mounted on the equipment unit. More general control and monitoring instrumentation should not normally be included.
(e) The P & ID graph should be used correctly when defining items within device class boundaries.
(4) Designing equipment codes and proposing standardized failure modes, failure mechanisms, failure reasons and failure detection method codes.
The invention provides a device coding mode based on a device layering theory.
Device coding is performed at the level of "location/business name/process plant/equipment unit/sub-unit/serviceable item", for example: ES/JJ/ZSH/EC/CSTR/IP/PT-1 is characterized by China southeast/Jiujiang/China petrochemical/ethylene cracking plant/continuous stirring reaction kettle/input device/No. 1 pressure transmitter.
The failure data is uniformly coded according to a structure of 'failure mechanism classification/failure reason classification/failure detection method classification', which type of mechanism, reason and detection mode is inquired is firstly determined according to a comparison table (fig. 5 is a failure code comparison table), and then which type of failure is specifically determined, for example, a code is FM-1.2/FC-2.2/FD-4, which indicates that the failure mechanism is mechanical vibration, the failure reason is equipment installation error and the failure is found through periodic state detection. A table of pressure transmitter failure mode codes for information security failure modes is added as shown in FIG. 6.
(5) An equipment reliability data acquisition table is formulated by taking the pressure transmitter as an example, and the equipment reliability data acquisition table mainly comprises an equipment unit data table as shown in figure 7; the equipment failure data table is shown in FIG. 8; the equipment repairability maintenance data table is shown in fig. 9; the equipment preventative maintenance data table is shown in FIG. 10; in the case of the pressure transmitter, the data collection table specific to the device is shown in fig. 11.
(6) Information security failure is fused to optimally design a data acquisition form, the security data of the equipment information which should be acquired in the security grading process is traced back downwards according to the SESA (security-safe) theory designed by the SINTEF of Norwegian research institution, and a newly added information security characteristic submodule is shown in FIG. 12; due to the development of industrial automation intelligence, the maintenance mode is greatly improved, and new classification is provided for equipment maintenance activities, as shown in fig. 13. On the basis, the equipment maintenance data list is perfected, and a predictive maintenance activity data acquisition table is added, as shown in FIG. 14.
(7) And fusing the designed data acquisition forms to form a data acquisition automatic system to complete a data acquisition task. After the data acquisition platform is built, certain functional tests are firstly carried out to verify whether the data acquisition platform can complete corresponding tasks, the actual working environment (temperature range, humidity range, corrosion environment and the like) of the equipment is simulated in the process of trial acquisition to investigate the reliability of the data acquisition platform, whether the quality of the acquired data is within an acceptable range is examined, and the acquired data can be ensured to be used in the subsequent rejecting and screening work.
(8) Unqualified data are removed in the formal data acquisition process, and the high-quality data left after the removal meet the following characteristics: the acquired data has complete data items according to requirements; the requirements of data types and formats, reliability parameters, data integrity and the like in the data acquisition plan are met; data can be correctly input, transmitted, processed and stored; the data acquisition sample size meets the preset requirements and the like.
(9) The high quality data after rejecting the unqualified data is transmitted to a local database for storage and access by a user or a supplier with access authority, as shown in fig. 1. The local database comprises reliability data of the equipment in the initial operation stage and data collected after the equipment operates, and the data in the initial operation stage comprise design documents such as equipment process flow charts, equipment operation manuals, maintenance management specifications, a functional test database in the initial equipment use stage and other data. The operation frame of the local database adopts two modes of client-to-server and browser-to-server, the client 1 accesses the local database by a browser or a remote login client through a Web application server, and the client 2 directly accesses the database through a local network environment. Usually, when the external network is connected with the local network, a firewall is used for partitioning, but the partitioning security level is low and easy to invade, and a safer way is to install the firewall between the local network and a local database to form a demilitarized zone (DMZ) area, and an access system is also provided with a digital signature module and a secret key encryption technology.
Claims (10)
1. A petrochemical safety equipment data acquisition method and system fusing information safety failure comprises the following steps:
(1) the method comprises the steps of performing demand analysis on petrochemical equipment to determine data acquisition demands, and listing an equipment list to be acquired;
(2) dividing equipment needing data acquisition according to different levels to form a hierarchical data structure;
(3) dividing the boundary of the collected object according to the data collection standard and the engineering experience of the petrochemical industry;
(4) designing equipment codes and standardized failure mechanisms, failure reasons and failure detection method codes based on the equipment layering theory, improving data transmission efficiency and saving storage memory;
(5) formulating an equipment reliability data acquisition form which comprises an equipment unit data form, a failure data form and a maintenance data form (the maintenance data covers three types of forms of repairability, preventability and predictive maintenance);
(6) optimizing and designing a data acquisition form by fusing information security failures;
(7) simulating the actual working environment of the equipment to debug and try to collect the data acquisition system;
(8) removing unqualified data in the formal data acquisition process, and inputting qualified high-quality data into an equipment reliability database;
(9) and constructing a local database to realize remote access to the internal network and the external network of the database.
2. The method and system for acquiring data of petrochemical safety equipment fusing information safety failure according to claim 1 are characterized in that in the step (1), safety equipment in a petrochemical industry plant area is taken as a key equipment type, and the equipment covered by the method comprises a logic control unit, input equipment, communication, fire fighting, a torch system, detection equipment, a valve, a nozzle and the like.
3. The method and system for collecting data of petrochemical safety equipment with integrated information security failure according to claim 1, wherein in the step (2), the equipment needing data collection is divided according to different levels. It is divided into 9 levels of "industry-business category-facility-workshop/unit-department/system-equipment unit-subunit-component/maintainable project-part".
4. The method and system for acquiring data of petrochemical safety equipment with integrated information security failure according to claim 1, wherein in the step (3), the following engineering experience is recommended in the process of boundary division of the equipment:
(1) not including items that are unique in design or configuration, but only items that are considered generic to the class of device under consideration, for "peer-to-peer" comparison.
(2) Connections not explicitly included in the boundary specification should be excluded from the device class boundary and faults occurring in the connection, not only in relation to the connection, should be included within the boundary definition.
(3) If a power machine and a driven unit use a common subunit, it is common to associate sub-unit failures and maintenance events with the driven unit.
(4) Should be included in the boundary if the meter has a particular control or monitoring function when it is in question with the equipment unit in question or is itself mounted on the equipment unit. More general control and monitoring instrumentation should not normally be included.
(5) The P & ID graph should be used correctly when defining items within device class boundaries.
5. The method and system for acquiring data of petrochemical safety equipment with integrated information security failure according to claim 1, wherein in the step (4), an equipment coding mode based on an equipment layering theory is provided, and coding is performed according to the hierarchy of location/enterprise name/process plant/equipment unit/subunit/maintainable project. And the failure data is uniformly coded according to the structure of 'failure mechanism classification/failure reason classification/failure detection method classification'.
6. The method and system for acquiring data of petrochemical safety equipment with integrated information security failure according to claim 1, wherein in the step (5), the main data contents of the equipment unit data table comprise: device name/code, equipment type, equipment identification/location, manufacturer, monitoring time, number of periodic tests during monitoring period, number of reboots during monitoring period, runtime. The main data contents of the equipment failure data table are as follows: data recording, equipment identification/position, failure date, failure mode, the influence of failure on the equipment function, a failure detection method and the running condition when failure occurs. The main data contents of the equipment maintenance data table are as follows: maintenance records, equipment identification/location, failure record number, maintenance start date, maintenance impact on plant operation, maintenance equipment resources, maintenance stop time, maintenance delay reasons.
7. The method and system for acquiring data of petrochemical safety equipment fusing information safety failure according to claim 1 are characterized in that in the step (6), a newly-built data acquisition framework is optimized and designed to be more in line with modern informatization requirements, and the main optimization contents comprise: optimally designing equipment truncation data and repairability maintenance data; adding an information security characteristic sub-module in an equipment unit data column and adding an information security failure mode in a failure mode library; and adding a predictive maintenance submodule.
8. The method and system for acquiring the data of the petrochemical safety equipment with the fused information safety failure according to the claim 1 are characterized in that in the step (7), the reliability of the system is researched by simulating the actual working environment (temperature, humidity, corrosion environment and the like) of the equipment in the process of data trial acquisition, and whether the quality of the acquired data is within an acceptable range is examined.
9. The method and system for acquiring the data of the petrochemical safety equipment with the information safety failure fused according to the claim 1 are characterized in that in the step (8), the high-quality data with the unqualified data removed should meet the following characteristics: the acquired data has complete data items according to requirements; the requirements of data types and formats, reliability parameters, data integrity and the like in the data acquisition plan are met; data can be correctly input, transmitted, processed and stored; the data acquisition sample size meets the preset requirements and the like.
10. The data collection method and system for the petrochemical security equipment with the fused information security failure according to claim 1, wherein in the step (9), the operation framework of the local database adopts two modes, namely client-to-server and browser-to-server. The outer net and the inner net are divided by a firewall, a non-military area (DMZ) is formed between the inner net and the database by the firewall, and the DMZ also has a digital signature module and a secret key encryption technology.
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