93 research outputs found
High Performance Embedded Computing
Nowadays, the prevalence of computing systems in our lives is so ubiquitous that we live in a cyber-physical world dominated by computer systems, from pacemakers to cars and airplanes. These systems demand for more computational performance to process large amounts of data from multiple data sources with guaranteed processing times. Actuating outside of the required timing bounds may cause the failure of the system, being vital for systems like planes, cars, business monitoring, e-trading, etc. High-Performance and Time-Predictable Embedded Computing presents recent advances in software architecture and tools to support such complex systems, enabling the design of embedded computing devices which are able to deliver high-performance whilst guaranteeing the application required timing bounds. Technical topics discussed in the book include: Parallel embedded platforms Programming models Mapping and scheduling of parallel computations Timing and schedulability analysis Runtimes and operating systemsThe work reflected in this book was done in the scope of the European project P SOCRATES, funded under the FP7 framework program of the European Commission. High-performance and time-predictable embedded computing is ideal for personnel in computer/communication/embedded industries as well as academic staff and master/research students in computer science, embedded systems, cyber-physical systems and internet-of-things
Readout Electronics for the Upgraded ITS Detector in the ALICE Experiment
ALICE is undergoing upgrades during the Long Shutdown (LS) 2 of the LHC to improve its performance and capabilities, and to prepare the experiment for the increases in luminosity provided by the LHC in Run 3 and Run 4. One of the most extensive upgrades of the experiment (and the topic of this thesis) is the replacement of the Inner Tracking System (ITS) in its entirety with a new and upgraded system. The new ITS consists exclusively of pixel sensors organized in seven cylindrical layers, and offers significantly improved tracking capabilities at higher interaction rates. And in contrast to the previous system, which would only trigger on a subset of the available events that were deemed βinterestingβ, the upgraded ITS will capture all events; either in a triggered mode using minimum-bias triggers, or in a βtrigger-lessβ continuous mode where event data is continuously read out.
The key component of the upgrade is a novel pixel sensor chip, the ALPIDE, which was developed at CERN specifically for the ALICE ITS upgrade. The seven layers of the ITS is assembled from sub-assemblies of sensor chips referred to as staves, and the entire detector consists of 24 120 chips in total. The staves come in three different configurations; they range from 9 chips per stave for the innermost layers, and up to 196 chips per stave in the outer layers. The number of control and data links, as well as the bit-rate of the data links, differs widely between the staves as well.
Data readout from the high-speed copper links of the detector requires dedicated readout electronics in the vicinity of the detector. The core component of this system is the FPGA-based Readout Unit (RU). It facilitates the readout of the data links and transfer data to the experimentβs server farms via optical links; provides control, configuration and monitoring of the sensor chips using the same optical links, as well as over CAN-bus for redundancy; distributes trigger signals to the sensor, either by forwarding the minimum-bias triggers of the experiment, or by local generation of trigger pulses for the continuous mode. And the field-programmable devices of the RU allows for future updates and changes of functionality, which can be performed remotely via several redundant paths to the RUs. This is an important feature, since the RUs are not easily accessible when they are installed in the cavern of the experiment and will be exposed to radiation when the LHC is in operation. Radiation tolerance has been an important concern during the development of the FPGA designs, as well as the RU hardware itself, since radiation-induced errors in the RUs are expected during operation. Techniques such as Triple Modular Redundancy (TMR) were used in the FPGA designs to mitigate these effects. One example is the radiation tolerant CAN controller design which is introduced in this thesis. A different challenge, which is also addressed in this thesis, is the monitoring of internal status and quantities such as temperature and voltage in the ALPIDE chips. This is performed over the ALPIDEβs control bus, but must be carefully coordinated as the control bus is also used for triggers.
The detector and readout electronics are designed to operate under a wide set of conditions. Considering events from PbβPb collisions, which may have thousands of pixel hits in the detector, a typical pp event has comparatively few pixel hits, but the collision rate is significantly higher for pp runs than it is for PbβPb runs. And the detector can be used with two triggering modes, where the continuous trigger mode has additional parameters for trigger period. A simulation model of the ALPIDE and ITS, presented in this thesis, was developed to simulate the readout performance and efficiency of the detector under a wide set of circumstances. The simulated results show that the detector should perform with a high efficiency at the collision rates that are planned for Run 3. Initial plans for a dedicated hardware, to handle and coordinate busy status for the detector, was deemed superfluous and the plans were canceled based on these results. Collision rates higher than those planned for Run 3 were also simulated to yield parameters for optimal performance at those rates. For the RU, which was designed to interface to three widely different stave designs, the simulations quantified the amount of data the readout electronics will have to handle depending on the detector layer and operating conditions. Furthermore, the simulation model was adapted for simulations of two other ALPIDE-based detector projects; the Proton CT (pCT) project at University of Bergen (UiB), a Digital Tracking Calorimeter (DTC) used for dose planning of particle therapy in cancer treatment; and the planned Forward Calorimeter (FoCal) for ALICE, where there will be two layers of pixel sensors among the 18 layers of Si-W calorimeter pads in the electromagnetic part of the detector (FoCal-E). Since the size of a calorimeter pad is relatively large, around 1 cmΒ², the fine grained pixels of the ALPIDE (29.24 Β΅m Γ 26.88 Β΅m) will help distinguish between multiple showers and improve the overall spatial resolution of the detector. The simulations helped prove the feasibility of the ALPIDE for this detector, from a readout perspective, and FoCal was later approved by the LHCC committee at CERN.Doktorgradsavhandlin
Soil Water Erosion
The purpose of this book is to provide novel results related to soil water erosion that could help landowners and land-users, farmers, politicians, and other representatives of our global society to protect and, if possible, improve the quality and quantity of our precious soil resources. Published papers on the topics are related to new ways of mapping, maps with more detailed input data, maps about areas that have never been mapped before, sediment yield estimations, modelling sheets and gully erosion, USLE models, RUSLE models, dams which stop sediment runoff, sediment influx, solute transport, soil detachment capacities, badland morphology, freeze-thaw cycles, armed conflicts, use of rainfall simulators, rainfall erosivity, soil erodibility, etc
Advanced Applications of Rapid Prototyping Technology in Modern Engineering
Rapid prototyping (RP) technology has been widely known and appreciated due to its flexible and customized manufacturing capabilities. The widely studied RP techniques include stereolithography apparatus (SLA), selective laser sintering (SLS), three-dimensional printing (3DP), fused deposition modeling (FDM), 3D plotting, solid ground curing (SGC), multiphase jet solidification (MJS), laminated object manufacturing (LOM). Different techniques are associated with different materials and/or processing principles and thus are devoted to specific applications. RP technology has no longer been only for prototype building rather has been extended for real industrial manufacturing solutions. Today, the RP technology has contributed to almost all engineering areas that include mechanical, materials, industrial, aerospace, electrical and most recently biomedical engineering. This book aims to present the advanced development of RP technologies in various engineering areas as the solutions to the real world engineering problems
Self-Test Mechanisms for Automotive Multi-Processor System-on-Chips
L'abstract Γ¨ presente nell'allegato / the abstract is in the attachmen
Design of an Arduino shield for ota programming
The International Center for Numerical Methods in Engineering (CIMNE) is a research organization, created in 1987, that does research in many areas, one of them is Information and Communication Technologies. In this area there is a line specialized in Wireless Sensor Networks (WSN) that uses many of existent technologies or devices to gather data from the real world and sent it to CIMNE server to feed simulation systems. CIMNE participates in many research projects with other companies and institutions.
This project was born from the need of some research projects in ICT group of CIMNE as well as one of their associated companies. Research projects that lead to this project are relative to WSN. CIMNE used to use MicaZ sensor mote from Crossbow but its high cost
made CIMNE to look for alternatives.
One of the alternatives used in WSN is Arduino, a versatile board that have a microcontroller digital and analogic inputs and outputs to gather data from sensors and interact with actuators or other gadgets. Arduino is easily programmable and is open hardware. It has
not the capability of wireless communications but it has the feature of using shields, boards that connect to Arduino, to expand its functionalities.
Arduino is a growing technology that is used in many different fields; from domotics to professional applications to use it with educational purposes to teach students from high school to university. This grow is due to its low cost, its easiness to use and program.
Since Wireless Sensor Networks usually are deployed in remote places, such as a vineyard or a highway bridge, it is very important to be able to manage and reprogram the sensor nodes remotely. Arduino has not this feature and after doing some research on the state of the art of wireless shields and not finding any shield with this feature. CIMNE has identified the needing of designing a Wi-Fi shield with Over-The-Air (OTA) programming feature. We have done a short review of applications, some of CIMNE, that will need this feature.
Wi-Fi shield with OTA programming capabilities is also important to CIMNE since nowadays the Internet of Things is growing fast and with shield CIMNE can provide Internet to many objects, such as speakers.
To design the shield we have used Cadsoft Eagle software since is one of the best circuit design software available in the market nowadays.
At the end of the project we want to obtain a working Wi-Fi Arduino Shield with OTA capabilities
Multilevel Runtime Verification for Safety and Security Critical Cyber Physical Systems from a Model Based Engineering Perspective
Advanced embedded system technology is one of the key driving forces behind the rapid growth of Cyber-Physical System (CPS) applications. CPS consists of multiple coordinating and cooperating components, which are often software-intensive and interact with each other to achieve unprecedented tasks. Such highly integrated CPSs have complex interaction failures, attack surfaces, and attack vectors that we have to protect and secure against. This dissertation advances the state-of-the-art by developing a multilevel runtime monitoring approach for safety and security critical CPSs where there are monitors at each level of processing and integration. Given that computation and data processing vulnerabilities may exist at multiple levels in an embedded CPS, it follows that solutions present at the levels where the faults or vulnerabilities originate are beneficial in timely detection of anomalies.
Further, increasing functional and architectural complexity of critical CPSs have significant safety and security operational implications. These challenges are leading to a need for new methods where there is a continuum between design time assurance and runtime or operational assurance. Towards this end, this dissertation explores Model Based Engineering methods by which design assurance can be carried forward to the runtime domain, creating a shared responsibility for reducing the overall risk associated with the system at operation. Therefore, a synergistic combination of Verification & Validation at design time and runtime monitoring at multiple levels is beneficial in assuring safety and security of critical CPS. Furthermore, we realize our multilevel runtime monitor framework on hardware using a stream-based runtime verification language
ΠΠ°ΡΠΊΠΎΠ²ΠΎ-ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ½Ρ Π·Π°ΡΠ°Π΄ΠΈ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎ Π±Π΅Π·ΠΏΠ΅ΡΠ½ΠΈΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΡΠΉ ΠΎΡΠΈΡΠ΅Π½Π½Ρ ΠΏΡΠΎΠΌΠΈΡΠ»ΠΎΠ²ΠΈΡ ΡΡΡΡΠ½ΠΈΡ Π²ΠΎΠ΄
ΠΠΈΡΠ΅ΡΡΠ°ΡΡΡ ΠΏΡΠΈΡΠ²ΡΡΠ΅Π½ΠΎ ΡΠΎΠ·Π²'ΡΠ·Π°Π½Π½Ρ Π½Π°ΡΠΊΠΎΠ²ΠΎ-ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΠΎΡ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΈ Π² Π³Π°Π»ΡΠ·Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΈ, ΡΠΊΠ° ΠΏΠΎΠ»ΡΠ³Π°Ρ Π² ΡΠΎΠ·ΡΠΎΠ±Π»Π΅Π½Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΡΠ² ΡΠ΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ Π½Π°ΡΠΊΠΎΠ²ΠΎ-ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ½ΠΈΡ
Π·Π°ΡΠ°Π΄ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΎΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΠΉ ΠΏΡΠΎΠΌΠΈΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ Π·Ρ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½ΡΠΌ ΡΠΈΠ·ΠΈΠΊΡΠ² Π²ΠΈΠ½ΠΈΠΊΠ½Π΅Π½Π½Ρ Π½Π°Π΄Π·Π²ΠΈΡΠ°ΠΉΠ½ΠΈΡ
ΡΠΈΡΡΠ°ΡΡΠΉ ΡΠ° Π²ΡΠ°Ρ
ΡΠ²Π°Π½Π½ΡΠΌ Π²ΠΈΠΌΠΎΠ³ Π΅Π½Π΅ΡΠ³ΠΎΠ΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ, ΡΠΎ ΡΠΏΡΠΈΡΡΠΈΠΌΠ΅ Π΄ΠΎΡΡΠΈΠΌΠ°Π½Π½Ρ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²ΡΠ² ΡΠΊΡΠ΄Π»ΠΈΠ²ΠΈΡ
Π²ΠΏΠ»ΠΈΠ²ΡΠ² Π½Π° Π΄ΠΎΠ²ΠΊΡΠ»Π»Ρ. ΠΠ°ΡΠΊΠΎΠ²ΠΎ-ΠΎΠ±Π³ΡΡΠ½ΡΠΎΠ²Π°Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΡΠ΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ Π½Π°ΡΠΊΠΎΠ²ΠΎ-ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ½ΠΈΡ
Π·Π°ΡΠ°Π΄ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΎΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΠΉ ΠΏΡΠΎΠΌΠΈΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ, ΡΠΎ Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΡ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½Ρ ΡΠΈΠ·ΠΈΠΊΡΠ² Π²ΠΈΠ½ΠΈΠΊΠ½Π΅Π½Π½Ρ Π½Π°Π΄Π·Π²ΠΈΡΠ°ΠΉΠ½ΠΈΡ
ΡΠΈΡΡΠ°ΡΡΠΉ, ΡΠ· ΡΡΠ°Ρ
ΡΠ²Π°Π½Π½ΡΠΌ Π²ΠΈΠΌΠΎΠ³ Π΅Π½Π΅ΡΠ³ΠΎΠ΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΡΠ° ΡΠΏΡΠΈΡΡΠΈΠΌΠ΅ Π΄ΠΎΠ΄Π΅ΡΠΆΠ°Π½Π½Ρ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²ΡΠ² ΡΠΊΡΠ΄Π»ΠΈΠ²ΠΈΡ
Π²ΠΏΠ»ΠΈΠ²ΡΠ² Π½Π° Π΄ΠΎΠ²ΠΊΡΠ»Π»Ρ. Π ΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΎΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ, ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° Π²ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½Ρ ΡΠ° Π·Π°ΡΡΠΎΡΡΠ²Π°Π½Π½Ρ Π΅ΡΠ΅ΠΊΡΡ ΠΏΠ΅ΡΠ΅Ρ
ΡΠ΅ΡΠ½ΠΎΠ³ΠΎ Π½Π°ΠΊΠ»Π°Π΄Π°Π½Π½Ρ Π΄ΡΡ ΡΡΠ·Π½ΠΈΡ
ΡΠΏΠΎΡΠΎΠ±ΡΠ² Π½Π° ΠΎΠ΄Π½Ρ ΠΉ ΡΡ ΠΆ ΡΠ°ΠΌΡ Π·Π°Π±ΡΡΠ΄Π½ΡΠ²Π°ΡΡ, ΡΠΊΠΈΠΉ Π²ΡΠ΄ΡΡΠ·Π½ΡΡΡΡΡΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ Π²ΡΠ°Ρ
ΡΠ²Π°Π½Π½Ρ ΡΠΈΠ·ΠΈΠΊΡΠ² Π²ΠΈΠ½ΠΈΠΊΠ½Π΅Π½Π½Ρ Π½Π°Π΄Π·Π²ΠΈΡΠ°ΠΉΠ½ΠΈΡ
ΡΠΈΡΡΠ°ΡΡΠΉ ΡΠ° Π°Π³ΡΠ΅Π³ΡΠ²Π°Π½Π½Ρ ΠΎΠ±Π»Π°Π΄Π½Π°Π½Π½Ρ ΡΠΈΡΡΠ΅ΠΌ Π²ΠΈΠ΄Π°Π»Π΅Π½Π½Ρ Π·Π°Π±ΡΡΠ΄Π½ΡΠ²Π°ΡΡΠ² Π·Ρ ΡΡΠΎΠΊΡΠ². ΠΠ±Π³ΡΡΠ½ΡΠΎΠ²Π°Π½ΠΎ ΡΠ° ΡΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΎΡ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π΄ΠΎΠΌΡΠ½ΡΡΡΠΎΠ³ΠΎ Π΄ΠΈΠ½Π°ΠΌΡΡΠ½ΠΎΠ³ΠΎ Π·Π°Π±ΡΡΠ΄Π½ΡΠ²Π°ΡΠ°, ΡΠΎ Π³ΡΡΠ½ΡΡΡΡΡΡΡ Π½Π° Π²ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½Π½Ρ Π·Π° ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌΠΈ Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΎ-Π΅Π½Π΅ΡΠ³Π΅ΡΠΈΡΠ½ΠΎΡ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π·Π°Π±ΡΡΠ΄Π½ΡΠ²Π°ΡΠ°, ΡΠΊΠΈΠΉ Π½Π°ΠΉΡΠΊΠ»Π°Π΄Π½ΡΡΠ΅ ΡΡΡΠ²Π°ΡΡΡΡΡ, ΡΠ° Π²ΡΠ΄ΡΡΠ·Π½ΡΡΡΡΡΡ ΠΊΠΎΠ½ΡΡΠ³ΡΡΡΠ²Π°Π½Π½ΡΠΌ ΡΡΡΡΠΊΡΡΡΠΈ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΠ΄Π°Π»Π΅Π½Π½Ρ ΡΠ½ΡΠΈΡ
Π·Π°Π±ΡΡΠ΄Π½ΡΠ²Π°ΡΡΠ² ΡΠ°Π·ΠΎΠΌ ΡΠ· Π΄ΠΎΠΌΡΠ½ΡΡΡΠΈΠΌ ΡΠ° ΠΎΠ±Π³ΡΡΠ½ΡΡΠ²Π°Π½Π½ΡΠΌ Π·ΠΌΠ΅Π½ΡΠ΅Π½Π½Ρ ΠΊΡΠ»ΡΠΊΠΎΡΡΡ ΠΊΠΎΠ½ΡΡΠΎΠ»ΡΠΎΠ²Π°Π½ΠΈΡ
Ρ ΡΠ΅ΠΆΠΈΠΌΡ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΡ ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡΠ² ΡΠΊΠΎΡΡΡ ΡΡΠΎΠΊΡΠ². Π ΠΎΠ·ΡΠΎΠ±Π»Π΅Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄ ΠΎΠΏΡΠ°ΡΡΠ²Π°Π½Π½Ρ ΡΠ° Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎ Π±Π΅Π·ΠΏΠ΅ΡΠ½ΠΎΠ³ΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ² ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΡΠΉ ΠΏΡΠΎΠΌΠΈΡΠ»ΠΎΠ²ΠΎΠ³ΠΎ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ Π½Π°Π»Π°ΡΡΡΠ²Π°Π½Ρ Ρ ΡΠ΅ΠΆΠΈΠΌΡ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΡ Π½Π΅ΡΡΡΠΊΠΈΡ
ΠΊΠΎΠ³Π½ΡΡΠΈΠ²Π½ΠΈΡ
ΡΠ° Π½Π΅ΠΉΡΠΎΠΌΠ΅ΡΠ΅ΠΆΠ΅Π²ΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΡΠΊΠΈΠΉ Π²ΡΠ΄ΡΡΠ·Π½ΡΡΡΡΡΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΠΏΠΎΠ»ΡΠΏΡΠ΅Π½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΎ-Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΡΠ² Π²ΠΈΡΠΎΠ±Π½ΠΈΡΡΠ² ΡΠ· ΡΡΠ°Ρ
ΡΠ²Π°Π½Π½ΡΠΌ ΡΠΈΠ·ΠΈΠΊΡΠ² Π²ΠΈΠ½ΠΈΠΊΠ½Π΅Π½Π½Ρ Π½Π°Π΄Π·Π²ΠΈΡΠ°ΠΉΠ½ΠΈΡ
ΡΠΈΡΡΠ°ΡΡΠΉ. Π£Π΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½ΠΎ ΠΌΠΎΠ΄Π΅Π»Ρ Π²ΠΈΠΌΡΡΡΠ²Π°Π½Π½Ρ ΡΠ° ΠΎΠΏΡΠ°ΡΡΠ²Π°Π½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΎ-Π΅Π½Π΅ΡΠ³Π΅ΡΠΈΡΠ½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ² Π²ΠΈΠ΄Π°Π»Π΅Π½Π½Ρ Π·Π°Π±ΡΡΠ΄Π½ΡΠ²Π°ΡΡΠ² ΡΠ»ΡΡ
ΠΎΠΌ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ°Ρ
ΡΠ²Π°Π½Π½Ρ Π²Π·Π°ΡΠΌΠΎΠ²ΠΏΠ»ΠΈΠ²ΡΠ² ΡΠΏΠΎΡΠΎΠ±ΡΠ² ΡΠ° ΠΏΡΠΈΠΉΠΎΠΌΡΠ² ΡΡ
Π½ΡΠΎΠ³ΠΎ ΡΡΡΠ½Π΅Π½Π½Ρ, ΡΠΎ Π»ΡΠ³Π»ΠΎ Π² ΠΎΡΠ½ΠΎΠ²Ρ ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ Π²ΡΡΡΡΠ°Π»ΡΠ½ΠΎΡ ΠΌΡΡΠΈ Π΅Π½Π΅ΡΠ³ΠΎΠ΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΠ΅Π½Π½Ρ, ΡΠΊΠ° Π·Π°Π±Π΅Π·ΠΏΠ΅ΡΡΡ Π²ΡΠ΄ΡΠ²ΠΎΡΠ΅Π½Π½Ρ, ΠΎΠΏΡΠ°ΡΡΠ²Π°Π½Π½Ρ ΡΠ° Π·Π±Π΅ΡΠ΅ΠΆΠ΅Π½Π½Ρ Π·Π½Π°ΡΠ΅Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎ Π±Π΅Π·ΠΏΠ΅ΡΠ½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ² ΡΠΈΡΡΠ΅ΠΌ ΠΎΡΠΈΡΠ΅Π½Π½Ρ ΡΡΠΎΠΊΡΠ² Π½Π° Π΅ΡΠ°ΠΏΠ°Ρ
ΠΏΡΠΎΠ΅ΠΊΡΡΠ²Π°Π½Π½Ρ Ρ ΠΏΡΠ΄ ΡΠ°Ρ Π΅ΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΡΡ Ρ ΡΠ΅ΠΆΠΈΠΌΡ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΡ Π½Π° Π²ΠΈΡΠΎΠ±Π½ΠΈΡΠΈΡ
ΠΎΠ±'ΡΠΊΡΠ°Ρ
. ΠΡΡΠΈΠΌΠ°Π»ΠΈ ΠΏΠΎΠ΄Π°Π»ΡΡΠΈΠΉ ΡΠΎΠ·Π²ΠΈΡΠΎΠΊ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΡΠΈΡΡΠ΅ΠΌ Π·Π±ΠΈΡΠ°Π½Π½Ρ, ΠΎΠΏΡΠ°ΡΡΠ²Π°Π½Π½Ρ Ρ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ ΡΠ΅Ρ
Π½ΡΠΊΠΎ-Π΅ΠΊΠΎΠ½ΠΎΠΌΡΡΠ½ΠΎΡ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π΄Π»Ρ ΡΠΏΡΠ°Π²Π»ΡΠ½Π½Ρ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΡ Π±Π΅Π·ΠΏΠ΅ΠΊΠΎΡ ΠΎΡΠΈΡΠ΅Π½Π½Ρ ΠΏΡΠΎΠΌΠΈΡΠ»ΠΎΠ²ΠΈΡ
ΡΡΡΡΠ½ΠΈΡ
Π²ΠΎΠ΄ ΡΠ· Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½ΡΠΌ Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΎ-Π΅Π½Π΅ΡΠ³Π΅ΡΠΈΡΠ½ΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡΠ², ΡΠΊΡ Π²ΡΠ΄ΡΡΠ·Π½ΡΡΡΡΡΡ ΠΌΠΎΠΆΠ»ΠΈΠ²ΡΡΡΡ ΡΠ΅Π°Π»ΡΠ·Π°ΡΡΡ ΡΠ΅ΡΡΡΡΠΎΠ·Π±Π΅ΡΡΠ³Π°ΡΡΠΎΠ³ΠΎ ΡΡΠ½ΠΊΡΡΠΎΠ½ΡΠ²Π°Π½Π½Ρ Π²ΠΈΡΠΎΠ±Π½ΠΈΡΡΠ² ΠΏΡΠ΄ ΡΠ°Ρ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ Π²ΠΈΠΌΠΎΠ³ ΡΡΠ°Π½Π΄Π°ΡΡΡΠ² ΡΠ΅ΡΡΡ ISO 14000 "Π‘ΠΈΡΡΠ΅ΠΌΠΈ Π΅ΠΊΠΎΠ»ΠΎΠ³ΡΡΠ½ΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΡ".ΠΠΈΡΡΠ΅ΡΡΠ°ΡΠΈΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΡΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°ΡΡΠ½ΠΎ-ΠΏΡΠΈΠΊΠ»Π°Π΄Π½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΠΎ-ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠΈΡΠΊΠ° Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ ΠΈ ΡΡΠ΅ΡΠΎΠΌ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ, ΡΡΠΎ Π±ΡΠ΄Π΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠΎΠ±Π»ΡΠ΄Π΅Π½ΠΈΡ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²ΠΎΠ² Π²ΡΠ΅Π΄Π½ΡΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠΉ Π½Π° ΠΎΠΊΡΡΠΆΠ°ΡΡΡΡ ΡΡΠ΅Π΄Ρ. ΠΠ°ΡΡΠ½ΠΎ-ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎ ΠΌΠ΅ΡΠΎΠ΄Ρ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΠΎ-ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΠ² ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ, ΡΡΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΈΡΠΊΠΎΠ² Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ, Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΈ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΡΠΎΠ±Π»ΡΠ΄Π΅Π½ΠΈΡ Π½ΠΎΡΠΌΠ°ΡΠΈΠ²ΠΎΠ² Π²ΡΠ΅Π΄Π½ΡΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠΉ Π½Π° ΠΎΠΊΡΡΠΆΠ°ΡΡΡΡ ΡΡΠ΅Π΄Ρ. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ ΠΌΠ΅ΡΠΎΠ΄ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΠΉ Π½Π° ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΈ ΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΡΡΠ΅ΠΊΡΠ° ΠΏΠ΅ΡΠ΅ΠΊΡΠ΅ΡΡΠ½ΠΎΠ³ΠΎ Π½Π°Π»ΠΎΠΆΠ΅Π½ΠΈΡ Π΄Π΅ΠΉΡΡΠ²ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² Π½Π° ΠΎΠ΄Π½ΠΈ ΠΈ ΡΠ΅ ΠΆΠ΅ Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»ΠΈ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΎΡΠ»ΠΈΡΠ°Π΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ ΡΡΠ΅ΡΠ° ΡΠΈΡΠΊΠΎΠ² Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ ΠΈ Π°Π³ΡΠ΅Π³ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΠΎΡΡΠ΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»Π΅ΠΉ ΠΈΠ· ΡΡΠΎΠΊΠΎΠ². ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ ΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½ ΠΌΠ΅ΡΠΎΠ΄ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π΄ΠΎΠΌΠΈΠ½ΠΈΡΡΡΡΠ΅Π³ΠΎ Π΄ΠΈΠ½Π°ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»Ρ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π° ΡΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΈ ΠΏΠΎ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»Ρ, ΠΊΠΎΡΠΎΡΡΠΉ ΡΠ»ΠΎΠΆΠ½Π΅Π΅ ΡΡΡΡΠ°Π½ΡΠ΅ΡΡΡ, ΠΈ ΠΎΡΠ»ΠΈΡΠ°Π΅ΡΡΡ ΠΊΠΎΠ½ΡΠΈΠ³ΡΡΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΡΡΡΠΊΡΡΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ Π΄ΡΡΠ³ΠΈΡ
Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»Π΅ΠΉ Π²ΠΌΠ΅ΡΡΠ΅ Ρ Π΄ΠΎΠΌΠΈΠ½ΠΈΡΡΡΡΠΈΠΌ ΠΈ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΌΠ΅Π½ΡΡΠ΅Π½ΠΈΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΊΠΎΠ½ΡΡΠΎΠ»ΠΈΡΡΠ΅ΠΌΡΡ
Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΡΡΠΎΠΊΠΎΠ². Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ ΠΌΠ΅ΡΠΎΠ΄ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΉ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π°ΡΡΡΠΎΠ΅ΠΊ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΈΡ
ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
ΠΈ Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠ΅Π²ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΎΡΠ»ΠΈΡΠ°Π΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ ΡΠ»ΡΡΡΠ΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ² Ρ ΡΡΠ΅ΡΠΎΠΌ ΡΠΈΡΠΊΠΎΠ² Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΡΡΠ΅Π·Π²ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΠΉ. Π£ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΈ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ΄Π°Π»Π΅Π½ΠΈΡ Π·Π°Π³ΡΡΠ·Π½ΠΈΡΠ΅Π»Π΅ΠΉ ΠΏΡΡΠ΅ΠΌ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΡΡΠ΅ΡΠ° Π²Π·Π°ΠΈΠΌΠΎΠ²Π»ΠΈΡΠ½ΠΈΡ ΡΠΏΠΎΡΠΎΠ±ΠΎΠ² ΠΈ ΠΏΡΠΈΠ΅ΠΌΠΎΠ² ΠΈΡ
ΡΡΡΡΠ°Π½Π΅Π½ΠΈΡ, Π»Π΅Π³Π»ΠΎ Π² ΠΎΡΠ½ΠΎΠ²Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π²ΠΈΡΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠ΅ΡΡ ΡΠ½Π΅ΡΠ³ΠΎΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ Π²ΠΎΠ΄ΠΎΠΎΡΠΈΡΡΠΊΠΈ, ΠΊΠΎΡΠΎΡΠ°Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠ΅, ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΡ ΠΈ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠΈΡΡΠ΅ΠΌ ΠΎΡΠΈΡΡΠΊΠΈ ΡΡΠΎΠΊΠΎΠ² Π½Π° ΡΡΠ°ΠΏΠ°Ρ
ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ Π² ΡΠ΅ΠΆΠΈΠΌΠ΅ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ Π½Π° ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ²Π΅Π½Π½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠ°Ρ
. ΠΠΎΠ»ΡΡΠΈΠ»ΠΈ Π΄Π°Π»ΡΠ½Π΅ΠΉΡΠ΅Π΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ ΡΠ±ΠΎΡΠ°, ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΈΠΊΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π΄Π»Ρ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΡΡ ΠΎΡΠΈΡΡΠΊΠΈ ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΡΡ
ΡΡΠΎΡΠ½ΡΡ
Π²ΠΎΠ΄ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΡΠΊΠΎΠ»ΠΎΠ³ΠΎ-ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΡΠ»ΠΈΡΠ°ΡΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡΡ ΡΠ΅Π°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠ΅ΡΡΡΡΠΎΡΠ±Π΅ΡΠ΅Π³Π°ΡΡΠ΅Π³ΠΎ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ΄ΡΡΠ² ΠΏΡΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΡΡΠ°Π½Π΄Π°ΡΡΠΎΠ² ΡΠ΅ΡΠΈΠΈ ISO 14000 "Π‘ΠΈΡΡΠ΅ΠΌΡ ΡΠΊΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ°".The dissertation is devoted to the solution of a scientific and applied problem in the field of environmental safety, which consists in developing methods for improving the scientific and theoretical foundations for managing environmental safety of industrial water treatment technologies with a reduction in the risk of emergencies and taking into account energy efficiency requirements, which will contribute to compliance with the standards of harmful environmental impacts. Scientifically substantiated methods for improving the scientific and theoretical foundations of environmental safety management of industrial water treatment technologies, which reduces the risk of emergencies, taking into account energy efficiency requirements and contribute to compliance with standards for harmful environmental impacts. A method for managing the environmental safety of water treatment technologies has been developed. It is based on the establishment and application of the effect of cross-superposition of the action of different methods on the same pollutants, which is distinguished by the possibility of taking into account the risks of emergencies and aggregating the equipment of systems for removing pollutants from effluents. ItΒ΄s justified and developed a method for managing the environmental safety of water treatment based on a dominant dynamic pollutant based on the establishment of a pollutant that is more difficult to eliminate by environmental and energy efficiency parameters has been substantiated and differs in the configuration of the water treatment technology based on the integrated removal of other pollutants, together with the dominant one and the rationale for reducing the number of real-time stock quality indicators. A method for processing and environmentally safe use of the parameters of industrial water treatment technologies based on real-time settings of fuzzy cognitive and neural network models has been developed. It is distin guished by the ability to improve the environmental and economic indicators of production, taking into account the risks of emergency situations. We have improved the models for measuring and processing the environmental and energy parameters of pollutant removal by comprehensively taking into account the mutual influence of methods and methods for their elimination, which formed the basis for creating a virtual measure of energy efficiency of water treatment, which ensures the reproduction, processing and preservation of the values of environmentally friendly parameters of wastewater treatment systems at the design and real-time operation at industrial facilities. The methods of constructing systems for collecting, processing and using technical and economic information were further developed for environmental safety management of industrial wastewater treatment using environmental and energy parameters, which are distinguished by the possibility of implementing resource-saving production operations when fulfilling the requirements of the standards of the ISO 14000 series "Environmental Management System"
Medical microprocessor systems
The practical classes and laboratory work in the discipline "Medical microprocessor systems", performed using software in the programming environment of microprocessors Texas Instruments (Code Composer Studio) and using of digital microprocessors of the Texas Instruments DSK6400 family, and models of electrical equipment in the environment of graphical programming LabVIEW 2010.ΠΠ°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΈΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΡΠΌ Π· ΠΏΡΠΎΠ³ΡΠ°ΠΌΡΠ²Π°Π½Π½Ρ ΡΠ° ΠΏΠΎΠ±ΡΠ΄ΠΎΠ²ΠΈ ΠΌΠ΅Π΄ΠΈΡΠ½ΠΈΡ
ΠΌΡΠΊΡΠΎΠΏΡΠΎΡΠ΅ΡΠΎΡΠ½ΠΈΡ
ΡΠΈΡΡΠ΅ΠΌ, ΡΠΊΠΈΠΉ Π²ΠΈΠΊΠ»Π°Π΄Π΅Π½ΠΎ Ρ Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΎΠΌΡ ΠΏΠΎΡΡΠ±Π½ΠΈΠΊΡ Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ Π½Π°ΠΊΠΎΠΏΠΈΡΡΠ²Π°ΡΠΈ ΠΉ Π΅ΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ Π²ΠΈΠΊΠΎΡΠΈΡΡΠΎΠ²ΡΠ²Π°ΡΠΈ ΠΎΡΡΠΈΠΌΠ°Π½Ρ ΡΠ½ΡΠΎΡΠΌΠ°ΡΡΡ Π· ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ½ΠΎΠ³ΠΎ ΠΊΡΡΡΡ Π½Π° Π²ΡΡΡ
ΡΡΠ°Π΄ΡΡΡ
Π½Π°Π²ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡ, ΡΠΎ Ρ Π²Π°ΠΆΠ»ΠΈΠ²ΠΈΠΌ Π΄Π»Ρ ΠΏΡΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΠΌΠ°Π³ΡΡΡΡΡΠ² ΡΠ° Π½Π΅ΠΎΠ±Ρ
ΡΠ΄Π½ΠΎΡ Π»Π°Π½ΠΊΠΎΡ Ρ Π½Π°ΡΠΊΠΎΠ²ΠΎΠΌΡ ΠΏΡΠ·Π½Π°Π½Π½Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ½ΠΈΡ
ΠΎΡΠ½ΠΎΠ² Π±ΡΠΎΠΌΠ΅Π΄ΠΈΡΠ½ΠΎΡ Π΅Π»Π΅ΠΊΡΡΠΎΠ½ΡΠΊΠΈ.The laboratory workshop on the programming and construction of medical microprocessor systems, which is outlined in the tutorial, helps to accumulate and effectively use the information obtained from a theoretical course at all stages of the educational process, which is important for the preparation of masters and a necessary link in the scientific knowledge of the practical basics of biomedicine.ΠΠ°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΡΠΉ ΠΏΡΠ°ΠΊΡΠΈΠΊΡΠΌ ΠΏΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΌΠΈΠΊΡΠΎΠΏΡΠΎΡΠ΅ΡΡΠΎΡΠ½ΡΡ
ΡΠΈΡΡΠ΅ΠΌ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΈΠ·Π»ΠΎΠΆΠ΅Π½ Π² ΡΡΠ΅Π±Π½ΠΎΠΌ ΠΏΠΎΡΠΎΠ±ΠΈΠΈ ΠΏΠΎΠΌΠΎΠ³Π°Π΅Ρ Π½Π°ΠΊΠ°ΠΏΠ»ΠΈΠ²Π°ΡΡ ΠΈ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΈΠ· ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΡΡΡΠ° Π½Π° Π²ΡΠ΅Ρ
ΡΡΠ°Π΄ΠΈΡΡ
ΡΡΠ΅Π±Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ°, ΡΡΠΎ Π²Π°ΠΆΠ½ΠΎ Π΄Π»Ρ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²ΠΊΠΈ ΠΌΠ°Π³ΠΈΡΡΡΠΎΠ² ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΠΌ Π·Π²Π΅Π½ΠΎΠΌ Π² Π½Π°ΡΡΠ½ΠΎΠΌ ΠΏΠΎΠ·Π½Π°Π½ΠΈΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ½ΠΎΠ² Π±ΠΈΠΎΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΎΠ½ΠΈΠΊΠΈ
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