{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T22:20:18Z","timestamp":1757456418806,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030336943"},{"type":"electronic","value":"9783030336950"}],"license":[{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-33695-0_61","type":"book-chapter","created":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T16:04:57Z","timestamp":1572624297000},"page":"935-950","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["System for Monitoring the Technical State of Heating Networks Based on UAVs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0704-4116","authenticated-orcid":false,"given":"Artur","family":"Zaporozhets","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6596-3460","authenticated-orcid":false,"given":"Svitlana","family":"Kovtun","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3836-0485","authenticated-orcid":false,"given":"Oleh","family":"Dekusha","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,11,2]]},"reference":[{"key":"61_CR1","unstructured":"Babak, S., Babak, V., Zaporozhets, A., Sverdlova, A.: Method of statistical spline functions for solving problems of data approximation and prediction of object state. In: CEUR Workshop Proceedings, vol. 2353, pp. 810\u2013821 (2019). \nhttp:\/\/ceur-ws.org\/Vol-2353\/paper64.pdf"},{"key":"61_CR2","volume-title":"Hardware-Software for Monitoring the Objects of Generation Transportation and Consumption of Thermal Energy","author":"VP Babak","year":"2016","unstructured":"Babak, V.P.: Hardware-Software for Monitoring the Objects of Generation Transportation and Consumption of Thermal Energy. Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv (2016)"},{"key":"61_CR3","unstructured":"Prudyus, I., Shkliarskiy, V., Turkinov, G., Storozh, V., Kril, Y.: Analysis and choice of methods of monitoring technical condition of the heating systems. In: International Conference on \u201cModern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET)\u201d, p. 154 (2008)"},{"key":"61_CR4","unstructured":"Johnson, B., Barth, R., House, P., Kuntscher, J.: Controlling pipe and equipment operating temperatures with trace heating systems. In: PCIC Europe, pp. 1\u201310 (2013)"},{"issue":"8","key":"61_CR5","doi-asserted-by":"publisher","first-page":"5175","DOI":"10.1109\/TGRS.2013.2287238","volume":"51","author":"O Friman","year":"2014","unstructured":"Friman, O., Follo, P., Ahlberg, J., Sj\u00f6kvist, S.: Methods for large-scale monitoring heating systems using airborne thermography. IEEE Trans. Geosci. Remote Sens. 51(8), 5175\u20135182 (2014)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"61_CR6","doi-asserted-by":"crossref","unstructured":"Shang-bin, J., Le, F., Peng-yue, W., Lei, Q., Yong-ze, J., Qian-kun, S.: Assessment and prediction of leakage degree of expansion joints in underground network heating pipe network based on LS-SVM and ARIMA model. In: 13th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1697\u20131702 (2018)","DOI":"10.1109\/ICIEA.2018.8397983"},{"key":"61_CR7","doi-asserted-by":"crossref","unstructured":"Jiao, S.-B., Fan, L., Wu, P.-Y., Qiao, L., Wang, Y., Xie, G.: Assessment of leakage degree of underground heating primary pipe network based on chaotic simulated annealing neural network. In: Chinese Automation Congress (CAC), pp. 5895\u20135900 (2017)","DOI":"10.1109\/CAC.2017.8243837"},{"issue":"14","key":"61_CR8","first-page":"59","volume":"1","author":"VP Babak","year":"2017","unstructured":"Babak, V.P., Zaporozhets, A.A., Kovtun, S.I., Sergienko, R.V.: Diagnosing methods analysis of bulk heating systems technical condition. Sci. Heritage 1(14), 59\u201365 (2017)","journal-title":"Sci. Heritage"},{"key":"61_CR9","doi-asserted-by":"crossref","unstructured":"Teng, Q., Wang, W.: The optimization and management research for central heating system. In: IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA), pp. 175\u2013177 (2014)","DOI":"10.1109\/WARTIA.2014.6976224"},{"key":"61_CR10","doi-asserted-by":"crossref","unstructured":"Fukuoka, M., Tang, L.: Wireless pipe inspection control system. In: The 5th International Conference on Automation, Robotics and Applications, pp. 497\u2013502 (2011)","DOI":"10.1109\/ICARA.2011.6144844"},{"issue":"2","key":"61_CR11","first-page":"213","volume":"1","author":"V Babak","year":"2018","unstructured":"Babak, V., Zaporozhets, A., Kovtun, S., Serhiienko, R.: Methods and means of heat losses monitoring for heat pipelines. Int. J. \u201cNDT Days\u201d 1(2), 213\u2013221 (2018)","journal-title":"Int. J. \u201cNDT Days\u201d"},{"key":"61_CR12","doi-asserted-by":"crossref","unstructured":"Zaporozhets, A.A., Eremenko, V.S., Serhiienko, R.V., Ivanov, S.A.: Development of an intelligent system for diagnosing the technical condition of the heat power equipment. In: IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), pp. 48\u201351 (2018)","DOI":"10.1109\/STC-CSIT.2018.8526742"},{"key":"61_CR13","doi-asserted-by":"crossref","unstructured":"Zaporozhets, A., Eremenko, V., Serhiienko, R., Ivanov, S.: Methods and hardware for diagnosing thermal power equipment based on smart grid technology. In: Shakhovska, N., Medykovskyy, M. (eds.) Advances in Intelligent Systems and Computing III, vol. 871, pp. 476\u2013489. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-01069-0_34"},{"key":"61_CR14","unstructured":"Eremenko, V., Zaporozhets, A., Isaenko, V., Babikova, K.: Application of Wavelet Transform for Determining Diagnostic Signs. In: CEUR Workshop Proceedings, vol. 2387, pp. 202\u2013214 (2019). \nhttp:\/\/ceur-ws.org\/Vol-2387\/20190202.pdf"},{"key":"61_CR15","doi-asserted-by":"crossref","unstructured":"Kosar, O., Shakhovska, N. An overview of denoising methods for different types of noises present on graphic images. In: Shakhovska, N., Medykovskyy, M. (eds.) Advances in Intelligent Systems and Computing III, vol. 871, pp. 38\u201347. Springer, Cham (2019)","DOI":"10.1007\/978-3-030-01069-0_4"},{"key":"61_CR16","doi-asserted-by":"crossref","unstructured":"Gauci, J., Falzon, O., Formosa, C., Gatt, A., Ellul, C., Mizzi, S., Mizzi, A., Delia, C.S., Cassar, K., Chockalingam, N., Camilleri, K.P.: Automated region extraction from thermal images for peripheral vascular disease monitoring. J. Healthc. Eng. 5092064 (2018)","DOI":"10.1155\/2018\/5092064"},{"key":"61_CR17","doi-asserted-by":"publisher","first-page":"1560","DOI":"10.1016\/j.protcy.2014.10.178","volume":"16","author":"A Duarte","year":"2014","unstructured":"Duarte, A., Carrao, L., Espanha, M., Viana, T., Freitas, D., Bartolo, P., Faria, P., Almeida, H.A.: Segmentation algorithms for thermal images. Procedia Technol. 16, 1560\u20131569 (2014)","journal-title":"Procedia Technol."},{"key":"61_CR18","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/s11082-018-1460-x","volume":"50","author":"X Chen","year":"2018","unstructured":"Chen, X., Liu, L., Song, J., Li, J., Zhang, Z.: Corner detection and matching for infrared image based on double ring mask and adaptive SUSAN algorithm. Opt. Quant. Electron. 50, 194 (2018)","journal-title":"Opt. Quant. Electron."},{"key":"61_CR19","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.ijleo.2017.09.104","volume":"154","author":"X Wang","year":"2018","unstructured":"Wang, X., Song, H., Cui, H.: Pedestrian abnormal event detection based on multi-feature fusion in traffic video. Optik 154, 22\u201332 (2018)","journal-title":"Optik"},{"issue":"147","key":"61_CR20","first-page":"62","volume":"13","author":"ID Loginov","year":"2017","unstructured":"Loginov, I.D.: Processing and segmentation of thermal images. Young Sci. 13(147), 62\u201371 (2017)","journal-title":"Young Sci."},{"issue":"8(84)","key":"61_CR21","doi-asserted-by":"publisher","first-page":"54","DOI":"10.15587\/1729-4061.2016.85408","volume":"6","author":"VP Babak","year":"2016","unstructured":"Babak, V.P., Mokiychuk, V., Zaporozhets, A., Redko, O.: Improving the efficiency of fuel combustion with regard to the uncertainty of measuring oxygen concentration. Eastern-Eur. J. Enterp. Technol. 6(8(84)), 54\u201359 (2016)","journal-title":"Eastern-Eur. J. Enterp. Technol."},{"key":"61_CR22","doi-asserted-by":"publisher","first-page":"105","DOI":"10.29202\/nvngu\/2018-5\/14","volume":"5","author":"AO Zaporozhets","year":"2018","unstructured":"Zaporozhets, A.O., Redko, O.O., Babak, V.P., Eremenko, V.S., Mokiychuk, V.M.: Method of indirect measurement of oxygen concentration in the air. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu 5, 105\u2013114 (2018)","journal-title":"Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu"},{"key":"61_CR23","unstructured":"Devitt, D., Morozov, R., Medvedev, M., Shapoval, I., Konovalov, G.: Implementation of the hybrid technology for quadcopter motion control in a complex non-deterministic environment. In: 18th International Conference on Control, Automation and Systems (ICCAS), pp. 451\u2013456 (2018)"},{"issue":"3","key":"61_CR24","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1007\/s13369-018-3330-z","volume":"44","author":"M Talha","year":"2018","unstructured":"Talha, M., Asghar, F., Rohan, A., Rabah, M., Kim, S.H.: Fuzzy logic-based robust and autonomous safe landing for UAV quadcopter. Arab. J. Sci. Eng. 44(3), 2627\u20132639 (2018)","journal-title":"Arab. J. Sci. Eng."},{"key":"61_CR25","unstructured":"Zaporozhets, A.: Development of software for fuel combustion control system based on frequency regulator. In: CEUR Workshop Proceedings, vol. 2387, pp. 223\u2013230 (2019). \nhttp:\/\/ceur-ws.org\/Vol-2387\/20190223.pdf"},{"key":"61_CR26","doi-asserted-by":"publisher","unstructured":"Zaporozhets, A.: Analysis of control system of fuel combustion in boilers with oxygen sensor. Periodica Polytechnica Mech. Eng. (2019). \nhttps:\/\/doi.org\/10.3311\/ppme.12572","DOI":"10.3311\/ppme.12572"},{"key":"61_CR27","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/s12517-017-2989-x","volume":"10","author":"C Gomez","year":"2017","unstructured":"Gomez, C., Green, D.R.: Small unmanned airborne systems to support oil and gas pipeline monitoring and mapping. Arab. J. Geosci. 10, 202 (2017). \nhttps:\/\/doi.org\/10.1007\/s12517-017-2989-x","journal-title":"Arab. J. Geosci."},{"key":"61_CR28","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.agwat.2017.11.011","volume":"197","author":"B Allred","year":"2018","unstructured":"Allred, B., Eash, N., Freeland, R., Martinez, L., Wishart, D.: Effective and efficient agricultural drainage pipe mapping with UAS thermal infrared imagery: a case study. Agric. Water Manag. 197, 132\u2013137 (2018). \nhttps:\/\/doi.org\/10.1016\/j.agwat.2017.11.011","journal-title":"Agric. Water Manag."},{"key":"61_CR29","unstructured":"Zaporozhets A., Kovtun S., Dekusha, O.: Determination of the technical condition of heating networks based on the processing of thermal imaging. In: Proceedings of International Scientific Conference Computer Sciences and Information Technologies (CSIT-2019), vol. 2, pp. 5\u20138 (2019)"}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Intelligent Systems and Computing IV"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-33695-0_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,19]],"date-time":"2020-09-19T10:17:44Z","timestamp":1600510664000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-33695-0_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,2]]},"ISBN":["9783030336943","9783030336950"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-33695-0_61","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,11,2]]},"assertion":[{"value":"2 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSIT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference on Computer Science and Information Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lviv","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ukraine","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csit2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}