8 research outputs found

    Modelling of the automatic stabilization system of the aircraft course by a fuzzy logic method

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    The problem of the present paper concerns the development of a fuzzy model of the system of an aircraft course stabilization. In this work modelling of the aircraft course stabilization system with the application of fuzzy logic is specified. Thus the authors have used the data taken for an ordinary passenger plane. As a result of the study the stabilization system models were realised in the environment of Matlab package Simulink on the basis of the PID-regulator and fuzzy logic. The authors of the paper have shown that the use of the method of artificial intelligence allows reducing the time of regulation to 1, which is 50 times faster than the time when standard receptions of the management theory are used. This fact demonstrates a positive influence of the use of fuzzy regulation

    Le mouvement fΓ©ministe en URSS

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    Mamonova Tatiana. Le mouvement fΓ©ministe en URSS. In: Revue d'en face, nΒ°9-10, 1981. SpΓ©cial hommes. De diverses attitudes fΓ©ministes quant Γ  la question masculine. pp. 110-115

    URSS : Le goulag quotidien de la femme soviΓ©tique

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    Mamonova Tatiana. URSS : Le goulag quotidien de la femme soviΓ©tique. In: Cahiers du fΓ©minisme, nΒ°19, 1982. De Paris Γ  Alger, de Buenos Aires Γ  Varsovie... SolidaritΓ© internationale (mars - avril 1982) pp. 28-29

    Vot Features Of Consonants In Abaza

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    Dependence of a sensitive element deflection in a pressure measurement sensor in a pipeline

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    The relevance of the research is caused by the need to increase a resource of operational life of pressure sensors at oil pipeline operation. Now all enterprises of oil products transportation apply different types of sensors and gages when developing technological processes that gives the chance to initiate fully automated production. When developing such productions much attention is paid to the choice of sensors for obtaining reliable and exact data and extension of their service life that is directly related to reliability of designs and units of a pipe. At the same time, it is necessary to consider influence of pipe parameters and the pumped-over liquid on dynamics of a sensitive element of a sensor as it will allow providing not only necessary accuracy, but it will also increase reliability of a system β€œpressure sensor - pipeline” and as a result reliability of the system as the whole. Breakage of the equipment or incorrect diagnostics can lead not only to a stop of oil products pumping, but also to the breakage of the system as the whole that corresponds to serious economic and environmental problems. Thus, the task of studying the adequate mathematical model connecting dynamics of a sensitive element of the pressure sensor and pressure in the pipeline is relevant now. The main aim is to define the influence of oil pipeline parameters, pumped-over liquid, and pressure in a pipe on a sensitive element deflection in a pressure sensor located on a pipe sidewall. Object: mathematical model of interaction of liquid pumping pipeline and pressure sensor at its location on a pipe sidewall. Methods: simulation, analysis and assessment of influence of a pipeline and pumped-over liquid parameters on sensor sensitive element deflection.Β Results. Study of the influence of transported liquid and pressure sensor parameters on the change of sensitive element deflection of the considered device has shown that it is necessary to consider such parameters of the sensor as Poisson's coefficient and sensitive element thickness when selecting pressure sensors. It was determined as well that the density of the pumped-over liquid effects most of all the sensor sensitive element deflection. Using the Simulink application of the MatLab program the authors studied the most widespread pressure sensor of DMD 331'A'S'AX. It was defined that the amplitude of an oscillations sensitive element is 3,5 mm and oscillations time is 180 seconds in case of the most allowable pressure of 9,8 MPa at high measured pressure in a pipe. At increase in pressure the process becomes dispersing that signals a membrane rush

    Autonomous sensors using for automation of oil and gas production

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    ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. БущСствСнным достоинством Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсоров ΠΏΡ€ΠΈ использовании ΠΈΡ… для Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ тСхнологичСских процСссов являСтся отсутствиС ΠΊΠ°Π±Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠΊ. ΠŸΠΎΡΡ‚Π°Π²Ρ‰ΠΈΠΊΠΈ ΡΡ‡ΠΈΡ‚Π°ΡŽΡ‚, Ρ‡Ρ‚ΠΎ ΠΈΡ… Π²Π½Π΅Π΄Ρ€Π΅Π½ΠΈΠ΅ обСспСчиваСт сокращСниС стоимости ΠΊΠ°ΠΏΠΈΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… Π·Π°Ρ‚Ρ€Π°Ρ‚ Π½Π° ΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΡΡ‚Π²ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² (Π² частности, Π·Π° счСт экономии Π½Π° кабСльной ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΠΈ ΠΈ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π°Ρ…), сниТСниС сроков ΡΡ‚Ρ€ΠΎΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ-ΠΌΠΎΠ½Ρ‚Π°ΠΆΠ½Ρ‹Ρ… ΠΈ пусконаладочных Ρ€Π°Π±ΠΎΡ‚, сокращСниС энСргопотрСблСния ΠΈ сниТСниС ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ… Π·Π°Ρ‚Ρ€Π°Ρ‚. ΠŸΠ΅Ρ€ΡΠΏΠ΅ΠΊΡ‚ΠΈΠ²Π° примСнСния ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π½Ρ‹Ρ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΠΉ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ с использованиСм Ρ€Π°Π΄ΠΈΠΎ ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ срСды ΠΏΠ΅Ρ€Π΅Π΄Π°Ρ‡ΠΈ Π΄Π°Π½Π½Ρ‹Ρ… ΠΈΠΌΠ΅Π΅Ρ‚ ΠΌΠ½ΠΎΠ³ΠΎΠΎΠ±Π΅Ρ‰Π°ΡŽΡ‰ΠΈΠΉ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π» развития. Π’Π½Π΅Π΄Ρ€Π΅Π½ΠΈΠ΅ сСтСцСнтричСских Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ автоматичСского (Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ) управлСния Π½Π° основС ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… сСнсорных сСтСй, ΠΏΡ€Π΅ΠΆΠ΄Π΅ всСго, ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ Π² блиТайшСй пСрспСктивС ΠΏΠΎΠ²Ρ‹ΡΠΈΡ‚ΡŒ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π΄ΠΎΠ±Ρ‹Ρ‡ΠΈ ΡƒΠ³Π»Π΅Π²ΠΎΠ΄ΠΎΡ€ΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΡ‹Ρ€ΡŒΡ Π½Π° труднодоступных тСрриториях, снизит ΠΏΠΎΡ‚Ρ€Π΅Π±Π½ΠΎΡΡ‚ΡŒ Π² ΠΎΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΌ присутствии Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊΠ° Π½Π° тСхнологичСских ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΊΠ°Ρ…. ВсС это, Π² свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, ΠΌΠΎΠΆΠ΅Ρ‚ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΈΠ·ΠΌΠ΅Π½ΠΈΡ‚ΡŒ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π½Ρ‹Π΅ Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ ΠΏΠΎ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ΄ΠΎΠ±Ρ‹Ρ‡ΠΈ. ЦСль: выявлСниС основных прСпятствий ΠΏΡ€ΠΈ использовании Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсоров для Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ΄ΠΎΠ±Ρ‹Ρ‡ΠΈ, ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° основных ΠΏΡ€ΠΎΠΈΠ·Π²ΠΎΠ΄ΠΈΡ‚Π΅Π»Π΅ΠΉ Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсоров. ΠžΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹: сСтСцСнтричСскиС Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ автоматичСского (Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ) управлСния Π½Π° основС ΠΈΠ½Ρ‚Π΅Π»Π»Π΅ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Ρ… сСнсорных сСтСй для Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ΄ΠΎΠ±Ρ‹Ρ‡ΠΈ. ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹: систСмный Π°Π½Π°Π»ΠΈΠ· отСчСствСнного ΠΈ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠΎΠ² Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсоров ΠΈ сСтСй. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ Π°Π½Π°Π»ΠΈΠ· примСнСния Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсоров ΠΈ сСтСй Π½Π° ΠΈΡ… основС. ВыявлСны основныС прСимущСства примСнСния Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ Π² Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ²ΠΎΠΉ отрасли Π½Π° основС Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсоров. ΠŸΠΎΠΊΠ°Π·Π°Π½Ρ‹ условия, ΠΏΡ€ΠΈ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… пСрспСктивно ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… бСспроводных сСнсоров Π½Π° Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ²Ρ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°Ρ…. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠ³ΠΎ исслСдования Π½Π΅ ΡƒΠ΄Π°Π»ΠΎΡΡŒ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π·Π½Π°Ρ‡ΠΈΠΌΡƒΡŽ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡ‡Π΅ΡΠΊΡƒΡŽ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ Ρ‚ΠΈΠΏΠΎΠ²Ρ‹Ρ… тСхнологичСских процСссов Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ΄ΠΎΠ±Ρ‹Ρ‡ΠΈ ΠΏΡƒΡ‚Π΅ΠΌ Π·Π°ΠΌΠ΅Π½Ρ‹ всСй ΠΏΡ€ΠΎΠ²ΠΎΠ΄Π½ΠΎΠΉ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†ΠΈΠΈ Π½Π° Π΅Π΅ бСспроводной Π°Π½Π°Π»ΠΎΠ³. Π’ настоящий ΠΌΠΎΠΌΠ΅Π½Ρ‚ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π°Π²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ‹Ρ… сСнсорных сСтСй Π² области автоматичСских систСм управлСния тСхнологичСскими процСссами для опасных производствСнных ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π½Π΅Ρ„Ρ‚Π΅Π³Π°Π·ΠΎΠ΄ΠΎΠ±Ρ‹Ρ‡ΠΈ Ρ‚Π°ΠΊΠΆΠ΅ ΠΎΠ³Ρ€Π°Π½ΠΈΡ‡Π΅Π½ΠΎ, ΠΏΠΎΡΠΊΠΎΠ»ΡŒΠΊΡƒ Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‚ трудности сСртификации Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ бСзопасности. Π­Ρ‚ΠΎ, Π² частности, связано с ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌΠΈ отказобСзопасности Ρ€Π°Π΄ΠΈΠΎ ΠΊΠΎΠΌΠΌΡƒΠ½ΠΈΠΊΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΉ срСды, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π·Π°Π΄Π΅Ρ€ΠΆΠΊΠΎΠΉ тСхничСского обслуТивания Π² случаС удалСнности ΠΈ труднодоступности тСхнологичСских ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² управлСния.The relevance. The essential advantage of autonomous sensors when used to automate technological processes is the cabling absence. Suppliers believe that their implementation provides decline of capital costs for construction of projects (in particular, due to savings on cable products and materials), reduction of construction, installation and commissioning work time, energy consumption and operating costs reduction. The application prospect of design decisions automation using the radio and communication environment for data production had a promising potential for development. The introduction of network-centric technologies of automatic (automated) control on the basis of intelligent sensor networks, first of all, will allow increasing the efficiency of hydrocarbon raw materials extraction in the short term in hard-to-reach territories, will reduce the need for mandatory man presence at technological sites. All this, in its turn, can significantly change the design decisions for automation of oil and gas production objects. The main aim of the research is identification of the main obstacles when using autonomous sensors for automation of oil and gas production, comparative analysis of the main manufacturers of autonomous sensors. Objects: the network-centric technologies of automatic (automated) control based on intelligent sensor networks for oil and gas production. Methods: system analysis of domestic and foreign markets of autonomous sensors and networks. Results. The authors have analyzed the use of autonomous sensors and networks based on them and identified the main advantages of using automation in the oil and gas industry based on autonomous sensors. The paper demonstrated the conditions under which the use of autonomous wireless sensors at oil and gas facilities is promising. As a result of the study, it was not possible to identify significant economic efficiency of automation of typical oil and gas production processes by replacing all wired automation with its wireless analogue. Currently, the use of autonomous sensor networks in the field of automatic process control systems for hazardous oil and gas production facilities is also limited, as there are difficulties in certifying functional safety. This, in particular, is due to the problems with the failure safety of the radio communication environment, as well as a significant delay in maintenance in case of remote and inaccessible technological control facilities

    Dependence of a sensitive element deflection in a pressure measurement sensor in a pipeline

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    ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ исслСдования обусловлСна Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ увСличСния рСсурса Ρ€Π°Π±ΠΎΡ‚Ρ‹ Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠΎΠ² давлСния ΠΏΡ€ΠΈ эксплуатации тСхнологичСских (Π½Π΅Ρ„Ρ‚Π΅', Π³Π°Π·ΠΎ') Ρ‚Ρ€ΡƒΠ±ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΎΠ². Π’ настоящСС врСмя всС прСдприятия транспортировки Π½Π΅Ρ„Ρ‚Π΅ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² ΠΏΡ€ΠΈ Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ΅ тСхнологичСских процСссов ΠΏΡ€ΠΈΠΌΠ΅Π½ΡΡŽΡ‚ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ Π²ΠΈΠ΄Ρ‹ срСдств измСрСния ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Π° ΠΈ Ρ‚Ρ€ΡƒΠ±ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄Π°, Ρ‡Ρ‚ΠΎ позволяСт Π² ΠΏΠΎΠ»Π½ΠΎΠΉ ΠΌΠ΅Ρ€Π΅ ΡΠΎΠ·Π΄Π°Π²Π°Ρ‚ΡŒ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ΅ производство. ΠŸΡ€ΠΈ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠΈ Ρ‚Π°ΠΊΠΈΡ… производств большоС Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ удСляСтся Π²Ρ‹Π±ΠΎΡ€Ρƒ Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠΎΠ² с Ρ†Π΅Π»ΡŒΡŽ получСния достовСрных ΠΏΠΎ точностным характСристикам Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ продлСния ΠΈΡ… срока слуТбы, связанного с Π½Π°Π΄Π΅ΠΆΠ½ΠΎΠΉ эксплуатациСй конструкций ΠΈ Π°Π³Ρ€Π΅Π³Π°Ρ‚ΠΎΠ² Ρ‚Ρ€ΡƒΠ±Ρ‹, Π½Π° ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ ΠΎΠ½ΠΈ установлСны. ΠŸΡ€ΠΈ этом Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°Ρ‚ΡŒ влияниС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Ρ‚Ρ€ΡƒΠ±Ρ‹ ΠΈ ΠΏΠ΅Ρ€Π΅ΠΊΠ°Ρ‡ΠΈΠ²Π°Π΅ΠΌΠΎΠΉ Тидкости Π½Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ°, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ это ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΡ‚ΡŒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡƒΡŽ Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ, Π½ΠΎ ΠΈ повысит Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ конструкции β€œΠ΄Π°Ρ‚Ρ‡ΠΈΠΊ давлСния - Ρ‚Ρ€ΡƒΠ±ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄Β» ΠΈ, ΠΊΠ°ΠΊ слСдствиС, Π½Π°Π΄Π΅ΠΆΠ½ΠΎΡΡ‚ΡŒ систСмы Π² Ρ†Π΅Π»ΠΎΠΌ. Поломка оборудования ΠΈΠ»ΠΈ нСвСрная диагностика ΠΌΠΎΠΆΠ΅Ρ‚ привСсти ΠΊ остановкС процСсса пСрСкачивания Π½Π΅Ρ„Ρ‚Π΅ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ² ΠΈ, ΠΊΠ°ΠΊ слСдствиС, ΠΊ Π±ΠΎΠ»Π΅Π΅ ΡΠ΅Ρ€ΡŒΠ΅Π·Π½Ρ‹ΠΌ экономичСским ΠΈ экологичСским ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ°ΠΌ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Π·Π°Π΄Π°Ρ‡Π° исслСдования Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½ΠΎΠΉ матСматичСской ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰Π΅ΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ° давлСния ΠΈ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ Π½Π΅Ρ„Ρ‚Π΅ΠΏΡ€ΠΎΠ²ΠΎΠ΄Π°, Π² настоящСС врСмя являСтся Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΠΉ. ЦСль исслСдования: ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ влияниС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Π½Π΅Ρ„Ρ‚Π΅ΠΏΡ€ΠΎΠ²ΠΎΠ΄Π°, ΠΏΠ΅Ρ€Π΅ΠΊΠ°Ρ‡ΠΈΠ²Π°Π΅ΠΌΠΎΠΉ Тидкости, Π° Ρ‚Π°ΠΊΠΆΠ΅ давлСния Π² Ρ‚Ρ€ΡƒΠ±Π΅ Π½Π° ΠΏΡ€ΠΎΠ³ΠΈΠ± Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ° давлСния, располоТСнного Π½Π° Π±ΠΎΠΊΠΎΠ²ΠΎΠΉ стСнкС Ρ‚Ρ€ΡƒΠ±Ρ‹. ΠžΠ±ΡŠΠ΅ΠΊΡ‚: матСматичСская модСль взаимодСйствия Ρ‚Ρ€ΡƒΠ±ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄Π° ΠΏΠ΅Ρ€Π΅ΠΊΠ°Ρ‡ΠΊΠΈ Тидкости ΠΈ Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ° давлСния ΠΏΡ€ΠΈ Π΅Π³ΠΎ располоТСнии Π½Π° Π±ΠΎΠΊΠΎΠ²ΠΎΠΉ стСнкС Ρ‚Ρ€ΡƒΠ±Ρ‹ ΠœΠ΅Ρ‚ΠΎΠ΄Ρ‹: ΠΈΠΌΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅, Π°Π½Π°Π»ΠΈΠ· ΠΈ ΠΎΡ†Π΅Π½ΠΊΠ° влияния ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² Ρ‚Ρ€ΡƒΠ±ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄Π° ΠΈ ΠΏΠ΅Ρ€Π΅ΠΊΠ°Ρ‡ΠΈΠ²Π°Π΅ΠΌΠΎΠΉ Тидкости Π½Π° ΠΏΡ€ΠΎΠ³ΠΈΠ± Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ИсслСдованиС влияния ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€ΠΎΠ² транспортируСмой Тидкости ΠΈ Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ° давлСния Π½Π° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ³ΠΈΠ±Π° Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта рассматриваСмого ΠΏΡ€ΠΈΠ±ΠΎΡ€Π° ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΎ, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈ Π²Ρ‹Π±ΠΎΡ€Π΅ Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠΎΠ² давлСния Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΡ‡ΠΈΡ‚Ρ‹Π²Π°Ρ‚ΡŒ Ρ‚Π°ΠΊΠΈΠ΅ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ°, ΠΊΠ°ΠΊ коэффициСнт ΠŸΡƒΠ°ΡΡΠΎΠ½Π° ΠΈ Ρ‚ΠΎΠ»Ρ‰ΠΈΠ½Π° Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ элСмСнта. Π’Π°ΠΊΠΆΠ΅ установлСно, Ρ‡Ρ‚ΠΎ наибольшСС влияниС Π½Π° ΠΏΡ€ΠΎΠ³ΠΈΠ± Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта Π΄Π°Ρ‚Ρ‡ΠΈΠΊΠ° ΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ ΠΏΠ»ΠΎΡ‚Π½ΠΎΡΡ‚ΡŒ ΠΏΠ΅Ρ€Π΅ΠΊΠ°Ρ‡ΠΈΠ²Π°Π΅ΠΌΠΎΠΉ Тидкости. Π‘ использованиСм ΠΈΠΌΠΈΡ‚Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ прилоТСния Simulink ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ MatLab Π±Ρ‹Π» исслСдован Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ распространСнный Π΄Π°Ρ‚Ρ‡ΠΈΠΊ давлСния DMD 331-A-S-AX. УстановлСно, Ρ‡Ρ‚ΠΎ ΠΏΡ€ΠΈ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠΈ измСряСмого давлСния Π² Ρ‚Ρ€ΡƒΠ±Π΅ Π°ΠΌΠΏΠ»ΠΈΡ‚ΡƒΠ΄Π° колСбания Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ элСмСнта составляСт 3,5 ΠΌΠΌ ΠΈ врСмя колСбания 180 сСкунд ΠΏΡ€ΠΈ максимально допустимом Π΄Π°Π²Π»Π΅Π½ΠΈΠΈ 9,8 МПа. ΠŸΡ€ΠΈ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠΈ давлСния процСсс становится расходящимся, Ρ‡Ρ‚ΠΎ сигнализируСт ΠΎ ΠΏΠΎΡ€Ρ‹Π²Π΅ ΠΌΠ΅ΠΌΠ±Ρ€Π°Π½Ρ‹.The relevance of the research is caused by the need to increase a resource of operational life of pressure sensors at oil pipeline operation. Now all enterprises of oil products transportation apply different types of sensors and gages when developing technological processes that gives the chance to initiate fully automated production. When developing such productions much attention is paid to the choice of sensors for obtaining reliable and exact data and extension of their service life that is directly related to reliability of designs and units of a pipe. At the same time, it is necessary to consider influence of pipe parameters and the pumped-over liquid on dynamics of a sensitive element of a sensor as it will allow providing not only necessary accuracy, but it will also increase reliability of a system β€œpressure sensor - pipeline” and as a result reliability of the system as the whole. Breakage of the equipment or incorrect diagnostics can lead not only to a stop of oil products pumping, but also to the breakage of the system as the whole that corresponds to serious economic and environmental problems. Thus, the task of studying the adequate mathematical model connecting dynamics of a sensitive element of the pressure sensor and pressure in the pipeline is relevant now. The main aim is to define the influence of oil pipeline parameters, pumped-over liquid, and pressure in a pipe on a sensitive element deflection in a pressure sensor located on a pipe sidewall. Object: mathematical model of interaction of liquid pumping pipeline and pressure sensor at its location on a pipe sidewall. Methods: simulation, analysis and assessment of influence of a pipeline and pumped-over liquid parameters on sensor sensitive element deflection. Results. Study of the influence of transported liquid and pressure sensor parameters on the change of sensitive element deflection of the considered device has shown that it is necessary to consider such parameters of the sensor as Poisson's coefficient and sensitive element thickness when selecting pressure sensors. It was determined as well that the density of the pumped-over liquid effects most of all the sensor sensitive element deflection. Using the Simulink application of the MatLab program the authors studied the most widespread pressure sensor of DMD 331'A'S'AX. It was defined that the amplitude of an oscillations sensitive element is 3,5 mm and oscillations time is 180 seconds in case of the most allowable pressure of 9,8 MPa at high measured pressure in a pipe. At increase in pressure the process becomes dispersing that signals a membrane rush
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