4 research outputs found
Dynamic Substructuring for Evaluating Vibro-acoustic Performance
νμλ
Όλ¬Έ (λ°μ¬) -- μμΈλνκ΅ λνμ : 곡과λν κΈ°κ³ν곡곡νλΆ, 2020. 8. κ°μ°μ€.Generally, a mechanical system consists of various substructures that cause noise and vibration problems. This thesis proposes a dynamic substructuring method for the estimation of the dynamic characteristics of a coupled mechanical system based on substructure characteristics.
The first phase of this thesis presents a method for the estimation of rotational stiffness at the coupled points of an assembled system based on a dynamic substructuring method. Conventional test-based rotational stiffness evaluation methods are sensitive to measurement errors and require a specialized jig for testing. In contrast, given that the proposed method uses the natural frequency shift phenomenon that results from the addition of mass, the measurement error is relatively small, and the accuracy is improved by excluding the interference of other modes. In addition, the proposed method solves the problem due to the complexity of the conventional method by changing the fixed condition of the system using frequency response function (FRF)-based substructuring (FBS) modeling; thus, it does not require a specialized jig for fixing parts. In this manuscript, the concepts of trial mass, virtual mass, and virtual spring are introduced to systematically explain the proposed method and its application based on frequency shifts. The results of the experiments conducted on a vehicle shock absorber verify the utility of the proposed method.
In the second phase, a novel transfer path analysis (TPA) method based on a dynamic substructuring model is proposed. With the dynamic substructuring model, the FRF information of a base system can be used to evaluate the stiffness addition effect at the measurement points instead of adding the actual stiffness. In the proposed method, a spring with an infinite stiffness is virtually added to a specific transfer path among various possible paths, such that the specific path is removed. Hence, the virtual spring significantly reduces the contribution of the specific path. This method is more implementable and applicable than existing TPA methods (i.e., conventional TPA and operational TPA), as it does require part removal or the correlation information between the signals. To verify the feasibility of the FBS-based TPA method, it was applied to a significant road noise phenomenon. The test results confirm that the proposed method can be applied to the TPA of suspension linkages and vehicle bodies.
In the final phase of this thesis, an improved dynamic substructuring model is presented based on the estimated FRF information at a coupling point between substructures. An assembled system generally consists of two or more such substructures, which are typically connected by a bolt. To ensure an accurate estimation of the dynamic characteristics of the assembled system, an accurate measurement of the joint properties is required. However, in most practical cases, physical constraints prevent such measurements at actual coupling points. Accordingly, this study proposes a method that uses generalized coupling properties to estimate the dynamic characteristics of a new coupling system based on the characteristics of the original substructure. In this process, the concept of virtual point transformation was used to estimate accurate FRFs at the coupling points of the assembled system based on convenient measurements. Thereafter, the proposed method was validated using a hard-mount vehicle suspension in a test jig and on an actual vehicle body for estimating the vibration characteristics of the assembled system. This research contributes towards the accurate estimation of the dynamic properties of bolt-assembled systems in several practical applications.μΌλ°μ μΌλ‘ κΈ°κ³μμ€ν
μ λ€μν νμ λΆλΆκ΅¬μ‘°λ¬Όλ‘ ꡬμ±λλ©°, μ΄λ€μ λ§μ μμ λ° μ§λ λ¬Έμ λ₯Ό μΌκΈ°νλ€. λ³Έ λ
Όλ¬Έμ μ΄λ¬ν νμ λΆλΆκ΅¬μ‘°λ¬Όμ λνΉμ± μ 보λ§μ μ¬μ©νμ¬ μ 체 λμ μμ€ν
μ λμ νΉμ±μ μΆμ νκΈ° μν λνΉμ± ν©μ±κΈ°λ²μ λ€λ£¨κ³ μλ€.
λ¨Όμ , λ³Έ λ
Όλ¬Έμ 첫 μ₯μμλ, λνΉμ± ν©μ±κΈ°λ²μ νμ©ν κ²°ν© μμ€ν
μ νμ κ°μ± μΆμ κΈ°λ²μ μ μνμλ€. κΈ°μ‘΄ μνκΈ°λ°μ νμ κ°μ± νκ°λ²λ€μ μΈ‘μ μ€λ₯μ λ―Όκ° ν λΏ μλλΌ, μΈ‘μ μ μν λ³λμ κ³ μ μ© μ§κ·Έκ° νμνλ€. κ·Έλ¬λ, λ³Έ μ°κ΅¬μμ μ μλ λ°©λ²μ μμ€ν
μ λΆκ°λλ μ§λμ μν κ³ μ μ£Όνμ νΈμ΄ νμμ μ¬μ©νκΈ° λλ¬Έμ κΈ°μ‘΄ λ°©λ²μ λΉν΄ μΈ‘μ μ€μ°¨κ° μλμ μΌλ‘ μκ³ , λ€λ₯Έ λͺ¨λμ κ°μμ λ°°μ ν¨μΌλ‘μ¨ μΆμ μ νλμ ν₯μμ κΈ°λν μ μλ€. λν, λ³Έ κΈ°λ²μ μ£Όνμ μλ΅ν¨μ κΈ°λ° ν©μ± λͺ¨λΈμ μ¬μ©νμ¬ μ€μ κ³ μ μ§κ·Έλ₯Ό μ¬μ©νλ λμ , κ³ μ κ²½κ³μ‘°κ±΄μ μμμ μΌλ‘ λ체ν¨μΌλ‘μ¨ κΈ°μ‘΄ λ°©λ²μ 볡μ‘μ±μ ν΄κ²°νμλ€. μ΄ κ³Όμ μμ μν μ§λ, κ°μ μ§λ λ° κ°μ μ€νλ§μ κ°λ
μ΄ λμ
λμμΌλ©°, μ€μ μ°¨λμ 좩격 ν‘μμ₯μΉλ₯Ό μ΄μ©νμ¬ λͺ¨λΈμ κ²μ¦μ μννμλ€.
λ€μμΌλ‘, λ³Έ λ
Όλ¬Έμ λ λ²μ§Έ μ₯μμλ, λνΉμ± ν©μ± λͺ¨λΈμ μ΄μ©ν μλ‘μ΄ μ λ¬ κ²½λ‘ λΆμ κΈ°λ²μ μ μνμλ€. λ³Έ μ°κ΅¬μμλ λμ μμ€ν
μ μ€μ μ λ¬κ²½λ‘λ₯Ό μ κ±°νλ λμ , 무νλμ κ°μ±μ κ°λ κ°μμ μ€νλ§μ μ£Όνμ μλ΅ ν¨μμ ννλ‘ λ°μν¨μΌλ‘μ¨, νΉμ μ λ¬κ²½λ‘μ μ κ±° ν¨κ³Όλ₯Ό ꡬννμλ€. λ³Έ κΈ°λ²μ κΈ°μ‘΄μ μ λ¬κ²½λ‘ λΆμλ²μ λΉνμ¬ μ€νμ μΌλ‘ ꡬνμ΄ μ¬μ°λ©°, μΈ‘μ μ μμλλ μμ
λκ³Ό κ³μ°λ λν νκΈ°μ μΌλ‘ μ€μΌ μ μλ€. ν΄λΉ κΈ°λ²μ μ°¨λ νκ°κ³μ νΉμ μ§λ μ λ¬ νμμ μ΄μ©νμ¬ μ€νμ μΌλ‘ μ ν¨μ±μ΄ κ²μ¦λμλ€.
λ³Έ λ
Όλ¬Έμ λ§μ§λ§ μ₯μμλ, λνΉμ± ν©μ± λͺ¨λΈμ μ νλ κ°μ μ μν μ°κ΅¬κ° μνλμλ€. μΌλ°μ μΌλ‘ κ²°ν©μμ€ν
μ λ κ° μ΄μμ κ²°ν©λ¬Όμ΄ λ³ΌνΈλ₯Ό μ΄μ©νμ¬ κ²°ν©λλ©°, κ²°ν© μμ€ν
μ λνΉμ± μμΈ‘μ μν΄μλ κ²°ν©λΆμ μ νν λνΉμ±μ΄ μꡬλλ€. νμ§λ§ λλΆλΆμ κ²½μ°, 물리μ 곡κ°μ μ μ½μΌλ‘ μΈνμ¬ μ€μ κ²°ν© μ§μ μμμ μΈ‘μ μ΄ λΆκ°λ₯νκΈ° λλ¬Έμ, κ°μ μ§μ μ κ°λ
μ λμ
νμ¬ κ²°ν©μ§μ μμμ μ£Όνμ μλ΅ν¨μλ₯Ό μΆμ νμλ€. ν΄λΉ λ°©λ² μμ, μ€μ μ°¨λκ³Ό μμ€νμ
μν μ§κ·Έλ₯Ό μ΄μ©νμ¬ κ²μ¦λμλ€. λ³Έ μ°κ΅¬λ λ§μ μ€μ μμ© λΆμΌμμ μ νν μμ€ν
μ λνΉμ± μΆμ μ κΈ°μ¬νκ³ μλ€.CHAPTER 1. GENERAL INTRODUCTION 1
1.1 Research background and motivation of the work 1
1.2 Literature reviews 8
1.3 Overview of the present work 15
1.4 Contributions 17
CHAPTER 2. INTRODUCTION TO DYNAMIC SUBSTRUCTURING 21
2.1 Introduction 21
2.2 Summary 25
CHAPTER 3. VIRTUAL PARAMETERS FOR ESTIMATING ROTATIONAL STIFFNESS 27
3.1 Introduction 27
3.2 Theoretical concepts 34
3.2.1 Concept of trial masses 34
3.2.2 Concept of virtual masses 40
3.2.3 Concept of virtual springs 44
3.3 Experimental validation 47
3.3.1 Validation of trial masses 47
3.3.2 Validation of virtual masses 55
3.3.3 Validation of virtual springs 59
3.4 Summary 64
CHAPTER 4. TRANSFER PATH ANALYSIS USING A VIRTUAL SPRING 69
4.1 Introduction 69
4.2 Conventional TPA 76
4.3 FBS-based TPA 79
4.4 Experimental validation 83
4.4.1 Specific road noise phenomenon 83
4.4.2 Suspension link TPA 89
4.4.3 Body TPA 99
4.5 Summary 104
CHAPTER 5. EXPERIMENTAL METHOD FOR IMPROVED ACCURACY OF DYNAMIC SUBSTRUCTURING MODEL 109
5.1 Introduction 109
5.2 Theoretical concepts 111
5.2.1 Dynamic substructuring model considering generalized coupling properties 111
5.2.2 Virtual point transformation method to improve experimental data 117
5.2.2.1 Virtual point displacement 117
5.2.2.2 Virtual point FRF 125
5.3 Validation of virtual point transformation 128
5.3.1 Target system and system description 128
5.3.2 Validation of virtual point transformation 133
5.3.2.1 Validation of virtual point displacement 133
5.3.2.2 Validation of virtual point FRF 139
5.3.3 Dynamic substructuring with virtual point transformation 143
5.4 Summary 152
CHAPTER 6. CONCLUSIONS AND RECOMMENDATIONS 155
6.1 Conclusions 155
6.2 Recommendations 159
APPENDIX 163
REFERENCES 167
κ΅ λ¬Έ μ΄ λ‘ 177Docto
A Study on the Pressure Drop Characteristics According to the Shape of a Gas Turbine Combustor Strainer
νμλ
Όλ¬Έ(μμ¬) -- μμΈλνκ΅λνμ : 곡νμ λ¬Έλνμ μμ©κ³΅νκ³Ό, 2022.2. ν©μν.κ°μ€ν°λΉ μ°μκΈ°λ κ³ μ¨λΆνμΌλ‘μ μ°λ£λ
Έμ¦ λ΄λΆμ μ€μΉλλ
μ€νΈλ μ΄λμ μλ ₯κ°νλ₯Ό μΈ‘μ νλ μ€λΉκ° μμ΄, μ€μ κ°μ€ν°λΉ μ
λμμμ μ€νΈλ μ΄λ νμλ³ μλ ₯κ°ν νΉμ±μ νμ
νκΈ° μν μ΄λ‘ μ ,
μ€νμ μ°κ΅¬λ₯Ό μννμλ€. μ€νΈλ μ΄λλ₯Ό ν΅κ³Όνλ μ λμ κ΄μ±λ ₯μ
μν₯μΌλ‘ μΈν΄ μλμ λν μλ ₯κ°νκ° λΉμ νμ μΈ κ΄κ³λ₯Ό 보μ΄λ
Non-Darcy μ λμ΄λ©°, μΈ‘μ λ μλ ₯κ°ν λ°μ΄ν°μ Forchheimer μ΄λ‘
μμ ν΅ν΄ μ€νΈλ μ΄λ κ³ μ μ ν¬κ³Όμ¨κ³Ό κ΄μ±μ νμΈ Ergun μμλ₯Ό λ
μΆνμλ€
μμΈλ³΅ν©λ°μ μ κ°μ€ν°λΉ M501GAC κΈ°μ’
μ 맀μ¬νμ
κ³Ό ν¬λ¬μ€
νμ
μ μ°μκΈ° μ€νΈλ μ΄λλ₯Ό μ€μΉνμ¬ κΈ°λ³Έμν, μ² κ°λ£¨ 5, 10, 20
gμ΄ ν¬μ
λ 쑰건μμ μ μ
λλ 곡기μ μλ ₯κ³Ό μ λμ λ³νμν€λ©΄
μ μ€νμ μ§ννμμΌλ©°, κ° κ²½μ°μ λν΄ μ€νΈλ μ΄λ κ³ μ μ ν¬κ³Ό
μ¨κ³Ό κ΄μ±μ νμΈ Ergun μμλ₯Ό λνλ΄μλ€. λν μ€νμ ν΅ν΄ λ
μΆν μ€νΈλ μ΄λ νμκ³μλ₯Ό 180 MW μ 격μΆλ ₯ μ€μ κ°μ€ν°λΉ μ
λμ μ μ©νμ¬ Forchheimerμμ ν΅ν΄ μλ ₯κ°νλ₯Ό μμΈ‘νμμΌλ©°,
κΈ°λ³Έμν κΈ°μ€ λ§€μ¬νμ
μ 0.74 bar, ν¬λ¬μ€νμ
μ 1.06 barμ μλ ₯
κ°νκ° νμ±λλ€λ κ²μ νμΈνμλ€.
μ€μ μμΈλ³΅ν©λ°μ μ 1, 2νΈκΈ°μ μ€νΈλ μ΄λ νμμ λ¬λ¦¬νμ¬
μ΄μ ν μ°μμ€ λ
Έμ¦ νκ· μλ ₯μ λΉκ΅νμ¬ μ½ 0.3 barμ μλ ₯κ°ν
μ°¨μ΄κ° λλ κ²μ νμΈνμλ€. λν μ€νΈλ μ΄λμ μλ ₯κ°νμ λ°
λ₯Έ λ°μ μΆλ ₯ λ³νλκ³Ό κ°μ€ν°λΉ ν¨μ¨μ νμΈνμμΌλ©°, 180 MW
μΆλ ₯ κΈ°μ€μμ 맀μ¬νμ
μ μ€μΉν κ°μ€ν°λΉμ΄ ν¬λ¬μ€νμ
μ μ€μΉ
ν κ°μ€ν°λΉλ³΄λ€ λ°μ μΆλ ₯μ μ½ 2.2 % λμ κ²μ νμΈνμλ€.Since the gas turbine combustor is a high-temperature component
and there is no facility to measure the pressure drop of the strainer
installed inside the fuel nozzle, theoretical and experimental studies
were performed to understand the pressure drop characteristics of
each strainer shape in the actual gas turbine flow. The flow through
the strainer is a Non-Darcy flow in which the pressure drop with
respect to velocity has a non-linear relationship due to the influence
of inertial force, and the Ergun coefficient which is the intrinsic
transmittance and inertia resistance of the strainer, is derived through
the measured pressure drop data and Forchheimer's theory.
By installing a mesh type and porous type combustor strainer of
the Seoul Combined Cycle Power Plant gas turbine M501GAC model,
the experiment was conducted while varying the pressure and flow
rate of the incoming air under the condition that 5, 10, 20 g of iron
powder was added. The strainer's intrinsic transmittance and inertia
resistance, Ergun's coefficient, are shown. In addition, the pressure
drop was predicted through the Forchheimer equation by
applying the strainer shape factor derived through the
experiment to the actual flow of the 180 MW rated output gas
turbine. It was confirmed that a pressure drop of 0.74 bar for
the mesh type and 1.06 bar for the porous type was formed
based on the basic condition.
In fact, by comparing the average pressure of the combustion
chamber nozzles after operation with different strainer shapes of
Seoul Combined Cycle Power Plant Units 1 and 2, it was confirmed
that there was a difference in pressure drop of about 0.3 bar. In
addition, the amount of change in power generation output and gas
turbine efficiency according to the strainer pressure drop were
confirmed. Based on 180MW power generation output, the gas turbine
with the mesh type strainer had about 4MW higher power generation
output than the gas turbine with the porous type strainer.
The efficiency of the gas turbine with the mesh type was about
0.22% higher than that of the gas turbine with the porous type.μ 1 μ₯ μλ‘ 1
1.1 μ°κ΅¬ λ°°κ²½ 1
1.2 κΈ°μ‘΄μ μ°κ΅¬ 3
1.3 μ°κ΅¬ λ°©λ² 4
μ 2 μ₯ μ€νΈλ μ΄λ μ λ νΉμ± 5
2.1 μ€νΈλ μ΄λμ μ’
λ₯μ νΉμ§ 5
2.1.1. Yν μ€νΈλ μ΄λ 5
2.1.2 Cν μ€νΈλ μ΄λ 6
2.1.3 Coneν μ€νΈλ μ΄λ 6
2.2 μλμ λ°λ₯Έ μ€νΈλ μ΄λ μ λ νΉμ± 9
2.2.1. λ€λ₯΄μμ λ²μΉ 9
2.2.2. Non-Darcy μ λ 10
2.2.3. Forchheimer μ΄λ‘ μ 11
μ 3 μ₯ μ€νΈλ μ΄λ μ λ μλ ₯κ°ν νΉμ±12
3.1 μ€ν μ₯μΉ λ° λ°©λ² 12
3.2 μ λ’°λ κ²μ¦ 16
3.2.1 κΈ°μμν 16
3.2.2 T-λΆν¬(Studentβs Distribution) 19
3.3 μ€ν κ²°κ³Ό λ° κ³ μ°° 23
3.3.1 μλ ₯κ°ν 23
3.3.2 ν¬κ³Όμ¨ λ° Ergunμμ 30
μ 4 μ₯ κ°μ€ν°λΉ μ°μκΈ° μλ ₯κ°ν νΉμ± 34
4.1 Forchheimer μ΄λ‘ μ κΈ°μ€ μλ ₯κ°ν μμΈ‘ 34
4.2 μ€μ κ°μ€ν°λΉ μ λ μλ ₯κ°ν νΉμ± 36
4.2.1 μ€νΈλ μ΄λ μλ ₯κ°ν λ° λ°μ μΆλ ₯ 36
4.2.2 μ€νΈλ μ΄λ μλ ₯κ°ν λ° κ°μ€ν°λΉ ν¨μ¨ 38
μ 5 μ₯ κ²°λ‘ 41
μ°Έκ³ λ¬Έν 44
Abstract 46μ
METHOD AND SYSTEM OF PROVIDING AUTHORIZATION IN DM SERVER
DM(Device Management) ν΄λΌμ΄μΈνΈμ λν κ΄λ¦¬ κΆνμ λ€λ₯Έ DM μλ²λ‘ μμ(delegation)νλ λ°μ μμ΄, μ€μ λλ μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈ(DM account management object)μ λ
Έλλ₯Ό μΆκ°νμ¬ ν¨μ¨μ μΈ μμ μ²λ¦¬κ° μ΄λ£¨μ΄μ§λλ‘ νλ DM μλ²μ κΆν λΆμ¬ λ°©λ² λ° κΆν λΆμ¬ μμ€ν
μ κ°μνλ€.μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ².μ 2 DM(Device Management) μλ²μμμ μμ μμ² λ°μμ μ°λνμ¬,μΈμ
μ νμ±νκ³ μλ μ 1 DM μλ²λ‘λΆν°, μκΈ° μ 2 DM μλ²μμ μ μμ μν μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ νλ λ¨κ³;μκΈ° μ 2 μ μλͺ
λ Ή(DMS-2 DMAcc)μ μμ μ λ°λΌ, μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈλ₯Ό μ€μ νλ λ¨κ³;μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ κΈ°μ΄νμ¬, μκΈ° μ 2 DM μλ²μμ μΈμ
νμ±μ μ μ΄νλ λ¨κ³; λ°μκΈ° μ΄μΉ΄μ΄νΈ κ΄λ¦¬ μ€λΈμ νΈμ λΆμ¬λ μ ν¨ κΈ°κ° λ΄μμ, μκΈ° μ 2 DM μλ²μ μν λλ°μ΄μ€μ κ΄λ¦¬λ₯Ό νμ©νλ, μκΈ° μ 2 DM μλ²λ‘λΆν° λΆμ¬μ© μ μ΄λͺ
λ Ήμ΄ μ
λ ₯λλ©΄, μκΈ° μ ν¨ κΈ°κ° λμ, μκΈ° λΆμ¬μ© μ μ΄λͺ
λ Ήμ μν΄ μλ³λλ νΉμ μ λλ°μ΄μ€μ μ¬μ©μ λΉνμ±νλ λ¨κ³λ₯Ό ν¬ν¨νλ DM μλ²μ κΆν λΆμ¬ λ°©λ²