Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944966
T. Juntasorn, C. Boonseng, K. Kularbphettong
This paper presents the device design to prevent critical load downtime due to power quality problems. At present, most of the equipment has a critical load which is sensitive to voltage changes that affect the operation of the device. In this research article, the power control system is designed to maintain the voltage level that the critical load can work as efficiently as possible by creating an electrical system as a micro-grid system and using a PLC program for controlling and analyzing in realtime situations. This work has simulated the control system that is designed and performs the actual experiment with the prototype. From the experiment, it has been shown that the designed control system can maintain the operation of the critical load continuously. Even though the main electrical system fails, the critical load still works normally.
{"title":"Control System Design For Critical Load With Dc Microgrid System","authors":"T. Juntasorn, C. Boonseng, K. Kularbphettong","doi":"10.1109/ICPEI47862.2019.8944966","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944966","url":null,"abstract":"This paper presents the device design to prevent critical load downtime due to power quality problems. At present, most of the equipment has a critical load which is sensitive to voltage changes that affect the operation of the device. In this research article, the power control system is designed to maintain the voltage level that the critical load can work as efficiently as possible by creating an electrical system as a micro-grid system and using a PLC program for controlling and analyzing in realtime situations. This work has simulated the control system that is designed and performs the actual experiment with the prototype. From the experiment, it has been shown that the designed control system can maintain the operation of the critical load continuously. Even though the main electrical system fails, the critical load still works normally.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133969634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/icpei47862.2019.8944954
{"title":"ICPEI 2019 Author Index","authors":"","doi":"10.1109/icpei47862.2019.8944954","DOIUrl":"https://doi.org/10.1109/icpei47862.2019.8944954","url":null,"abstract":"","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133888051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944968
Pana Chupun, B. Suechoey, Somsak Siriporananon
This paper presents an electrical performance testing of AC motors by measuring the Insulation Resistance Measurement, Polarization Index Measurement, Winding Resistance Measurement and Surge Comparison Measurement according to IEEE standards. The test results indicate that the efficiency of the motor. It can be developed into software and also be applied for practical work.
{"title":"Electrical Performance Testing of AC Motors","authors":"Pana Chupun, B. Suechoey, Somsak Siriporananon","doi":"10.1109/ICPEI47862.2019.8944968","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944968","url":null,"abstract":"This paper presents an electrical performance testing of AC motors by measuring the Insulation Resistance Measurement, Polarization Index Measurement, Winding Resistance Measurement and Surge Comparison Measurement according to IEEE standards. The test results indicate that the efficiency of the motor. It can be developed into software and also be applied for practical work.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8945016
Nisit Pukrongta, Boonyarit Kumkhet
This paper presents the study of the various factors of LoRaWAN or LPWAN (Low power wide area network), that affect energy consumption compared to the efficiency of sensor nodes such as the transmitting and receiving data, the distance of transmission, and stability. The experiment efficiency of sensor node system by focuses on two parts. The first part, considered the node’s communication. We connected sensor node 3 nodes with LoRa base station and operating communication test for 7 days using the sensor node, which purpose to measurement and monitor of soil moisture, temperature, and humidity. Then setting and varying 3 communication parameters namely such as SF (spreading factor), CR (coding rate), d (distance). When any variable is adjusted, other variable is remaining constant. Finally, energy consumption was analyzed with each of variable to determine the suitability for different environments. When SF is high the power consumption is high, which is the highest SF value is 11. When the CR is low the power consumption is high, the lowest CR is 4/8. The second part, we measuring factor of packet’s communication, which is following to the LoRa protocol standard. Which the power consumption 73.29 mW/H. From experiment test, the soil moisture sensor nodes have a battery node’s lifetime is 6 days and 3 hours. in addition, maximum distance to communication of the soil moisture sensor node is 226m, with RSSI -116 dBm.
本文研究了LoRaWAN或低功率广域网(Low power wide area network, LPWAN)中影响传感器节点效率的各种因素，如数据的收发、传输距离、稳定性等。传感器节点系统的实验效率主要分为两部分。第一部分，考虑节点的通信。我们将传感器节点3个节点与LoRa基站连接，并使用该传感器节点进行了7天的运行通信测试，用于测量和监测土壤湿度、温度和湿度。然后设置和改变3个通信参数，即SF(扩频因子)、CR(编码率)、d(距离)。当任何变量被调整时，其他变量保持不变。最后，对每个变量的能耗进行分析，以确定不同环境的适用性。当顺丰度高时，功耗也高，最高顺丰度为11。当CR低时，功耗高，最低CR为4/8。第二部分根据LoRa协议标准对数据包的通信性能进行了测试。其中耗电量73.29 mW/H。从实验测试来看，土壤湿度传感器节点的电池节点寿命为6天3小时。土壤湿度传感器节点的最大通信距离为226m, RSSI为-116 dBm。
{"title":"The relation of LoRaWAN efficiency with energy consumption of sensor node","authors":"Nisit Pukrongta, Boonyarit Kumkhet","doi":"10.1109/ICPEI47862.2019.8945016","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8945016","url":null,"abstract":"This paper presents the study of the various factors of LoRaWAN or LPWAN (Low power wide area network), that affect energy consumption compared to the efficiency of sensor nodes such as the transmitting and receiving data, the distance of transmission, and stability. The experiment efficiency of sensor node system by focuses on two parts. The first part, considered the node’s communication. We connected sensor node 3 nodes with LoRa base station and operating communication test for 7 days using the sensor node, which purpose to measurement and monitor of soil moisture, temperature, and humidity. Then setting and varying 3 communication parameters namely such as SF (spreading factor), CR (coding rate), d (distance). When any variable is adjusted, other variable is remaining constant. Finally, energy consumption was analyzed with each of variable to determine the suitability for different environments. When SF is high the power consumption is high, which is the highest SF value is 11. When the CR is low the power consumption is high, the lowest CR is 4/8. The second part, we measuring factor of packet’s communication, which is following to the LoRa protocol standard. Which the power consumption 73.29 mW/H. From experiment test, the soil moisture sensor nodes have a battery node’s lifetime is 6 days and 3 hours. in addition, maximum distance to communication of the soil moisture sensor node is 226m, with RSSI -116 dBm.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124765987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944978
Peeraphon Jiranantacharoen, W. Benjapolakul
This paper presents an approach to forecast photovoltaic (PV) power generation by using Kalman filter and Auto Regressive Integrated Moving Average (ARIMA). This method is suitable for real time forecast with high resolution time step and we use it to forecast for five-minute time step in this paper. However, Kalman filter requires real time measurement data to adjust forecast value, hence we propose an estimator model to help this approach to perform reliable forecast even when real time measurement data is unavailable. The dataset for building estimator model is set of historical data of power generation from neighbor PV rooftops and distance between PV rooftops. We use ARIMA model to estimate transition matrix for running Kalman filter. The performance of the test is measured by the Root Mean Square Error (RMSE) and Skill Score (SS). The obtained result shows that ARIMA model has lower accuracy compared to Kalman filter and estimator model. The real time data estimation from the estimator model can be used in Kalman filter to forecast PV power generation with good accuracy.
{"title":"Photovoltaic Power Generation Forecast by Using Estimator Model and Kalman Filter","authors":"Peeraphon Jiranantacharoen, W. Benjapolakul","doi":"10.1109/ICPEI47862.2019.8944978","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944978","url":null,"abstract":"This paper presents an approach to forecast photovoltaic (PV) power generation by using Kalman filter and Auto Regressive Integrated Moving Average (ARIMA). This method is suitable for real time forecast with high resolution time step and we use it to forecast for five-minute time step in this paper. However, Kalman filter requires real time measurement data to adjust forecast value, hence we propose an estimator model to help this approach to perform reliable forecast even when real time measurement data is unavailable. The dataset for building estimator model is set of historical data of power generation from neighbor PV rooftops and distance between PV rooftops. We use ARIMA model to estimate transition matrix for running Kalman filter. The performance of the test is measured by the Root Mean Square Error (RMSE) and Skill Score (SS). The obtained result shows that ARIMA model has lower accuracy compared to Kalman filter and estimator model. The real time data estimation from the estimator model can be used in Kalman filter to forecast PV power generation with good accuracy.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114065927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944949
S. Janpong, T. Narongrit, M. Puangpool, N. Suthikarnnarunai
This paper presents the application of neural networks called ADALINE that controls the DC-Bus voltage of the voltage source inverter, which is an active power filter (APF) in the single-phase power system. The DC-Bus voltage control in APF is especially important for maintaining the appropriate voltage level, which is the reference voltage across the capacitor. ADALINE can effectively control the voltage equal to the reference voltage and the APF can inject the compensated current with good performance. The electrical power system has the unity power factor and the source current is close to the sinusoidal. The proposed method has been validated with Simulink/MATLAB.
{"title":"DC-Bus Voltage Control for Single-Phase Active Power Filter using Neural Network","authors":"S. Janpong, T. Narongrit, M. Puangpool, N. Suthikarnnarunai","doi":"10.1109/ICPEI47862.2019.8944949","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944949","url":null,"abstract":"This paper presents the application of neural networks called ADALINE that controls the DC-Bus voltage of the voltage source inverter, which is an active power filter (APF) in the single-phase power system. The DC-Bus voltage control in APF is especially important for maintaining the appropriate voltage level, which is the reference voltage across the capacitor. ADALINE can effectively control the voltage equal to the reference voltage and the APF can inject the compensated current with good performance. The electrical power system has the unity power factor and the source current is close to the sinusoidal. The proposed method has been validated with Simulink/MATLAB.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126448954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research article aims to present the development and efficiency validation of the training course on Smart Farm based on STEM education. The abalone mushroom was selected as the case study of this research. This study comprised of a training set, a mobile phone application, information sheets and media presentation. The training course was organized with a sample group of 30 people. The results can be formulated as follows: 1) the quality of the developed training package was evaluated by the experts and obtained the average value of 4.34 (Good); 2) the efficiency of the developed training course met the standard criteria of Meguigans (1.18); and 3) the developed training course obtained the satisfaction at the average score of 4.46. In conclusion, it does not exaggerate to state that this training course on Smart Farm on STEM education can be applied in teaching and learning efficiently.
{"title":"Development and Efficiency Validation of Training Course on Smart Farm based on STEM Education: A Case Study of Abalone Mushroom","authors":"Arkira Sonthitham, Kanokwan Ruangsiri, Chaiyapon Thongchaisuratkul","doi":"10.1109/ICPEI47862.2019.8944942","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944942","url":null,"abstract":"This research article aims to present the development and efficiency validation of the training course on Smart Farm based on STEM education. The abalone mushroom was selected as the case study of this research. This study comprised of a training set, a mobile phone application, information sheets and media presentation. The training course was organized with a sample group of 30 people. The results can be formulated as follows: 1) the quality of the developed training package was evaluated by the experts and obtained the average value of 4.34 (Good); 2) the efficiency of the developed training course met the standard criteria of Meguigans (1.18); and 3) the developed training course obtained the satisfaction at the average score of 4.46. In conclusion, it does not exaggerate to state that this training course on Smart Farm on STEM education can be applied in teaching and learning efficiently.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127633709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944960
P. Suwanapingkarl, A. Loongthaisong, N. Ritsuk, S. Buasai, C. Paorung, K. Srivallop
This paper proposes the motor design of ‘ePVScooter’, an electric scooter with portable photovoltaic charger function and electrical outlet charger function. The Brushless DC electric motor (BLDC) is chosen and installed at front wheel. The proposed BLDC is rated 36V 500W. The proposed motor is allowed the maximum speed up to 40km/h (with payload 70 kg). In order to minimize the driving transmission losses, the BLDC direct drive is used. To enhance the stabilizing system, the 3-wheel scooter concept is also chosen. This allows the increasing of the payload up to 100 kilograms. Moreover, this proposed motor also validated against the prototype ‘ePVScooter’ in order to ensure its performance.
{"title":"Motor design for ‘ePVScooter’ an electric scooter integrated with portable photovoltaic charger system","authors":"P. Suwanapingkarl, A. Loongthaisong, N. Ritsuk, S. Buasai, C. Paorung, K. Srivallop","doi":"10.1109/ICPEI47862.2019.8944960","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944960","url":null,"abstract":"This paper proposes the motor design of ‘ePVScooter’, an electric scooter with portable photovoltaic charger function and electrical outlet charger function. The Brushless DC electric motor (BLDC) is chosen and installed at front wheel. The proposed BLDC is rated 36V 500W. The proposed motor is allowed the maximum speed up to 40km/h (with payload 70 kg). In order to minimize the driving transmission losses, the BLDC direct drive is used. To enhance the stabilizing system, the 3-wheel scooter concept is also chosen. This allows the increasing of the payload up to 100 kilograms. Moreover, this proposed motor also validated against the prototype ‘ePVScooter’ in order to ensure its performance.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to develop of training package on machine vision applying STEM education for industrial course. First, we surveyed the needs for training content before analyzing various training package from related documents and revised related literature. Next, we developed the STEM education which consists of four processes including Science, Technology, Engineering, and Mathematics. After that, we constructed a training package with LabView Program. The training package contains a trainer’s manual, PowerPoint presentation, an experimental set and an achievement test. Finally, the quality of the training package was evaluated by five experts and was implemented by a sampling group of 15 trainees. The developed training package is efficient in accordance to the Meguigans’ theory (equaled to 1.81). The trainee satisfaction towards developed training package obtains the average score of 4.51 (satisfied).
{"title":"Development of Training Package on Machine Vision applying STEM Approach for Industrial Education","authors":"Udomsak Kaewmorakot, Suporn Thaenkaew, Kanokwan Ruangsiri","doi":"10.1109/ICPEI47862.2019.8944953","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944953","url":null,"abstract":"This paper aims to develop of training package on machine vision applying STEM education for industrial course. First, we surveyed the needs for training content before analyzing various training package from related documents and revised related literature. Next, we developed the STEM education which consists of four processes including Science, Technology, Engineering, and Mathematics. After that, we constructed a training package with LabView Program. The training package contains a trainer’s manual, PowerPoint presentation, an experimental set and an achievement test. Finally, the quality of the training package was evaluated by five experts and was implemented by a sampling group of 15 trainees. The developed training package is efficient in accordance to the Meguigans’ theory (equaled to 1.81). The trainee satisfaction towards developed training package obtains the average score of 4.51 (satisfied).","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131777729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944993
Kotchakorn Siriphan, P. Khamphakdi
This paper presents a simplified the center- aligned space vector - pulse width modulation (SVPWM) technique for Vienna rectifier based on a three-level converter into a two-level converter. The method can generate the center aligned PMW easily by mapping the three-level space vector based on two-level space vector to create the dwelling time and switching sequence patterns. The D-Q control method is used to control the harmonics distortion of input current and dc-bus output voltage. A simulation model in Matlab/Simulink and a experiment with DSP-controlled, 1-kW, Viennna-type rectifier are used to verify the proposed method. Analytical, simulated, and experimental results agree well with each other. Experimental waveforms confirm the effectiveness of the presented method for Vienna-type rectifier control system. The results show that the total harmonics distortion of input current is 2.64% and the power factor is 0.99. Moreover, the dc-bus out voltage is regulated at 500 Vdc at the rated power.
{"title":"Analysis of Center-Aligned Space Vector Pulse Width Modulation Realization for Three-Phase Vienna Rectifier","authors":"Kotchakorn Siriphan, P. Khamphakdi","doi":"10.1109/ICPEI47862.2019.8944993","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944993","url":null,"abstract":"This paper presents a simplified the center- aligned space vector - pulse width modulation (SVPWM) technique for Vienna rectifier based on a three-level converter into a two-level converter. The method can generate the center aligned PMW easily by mapping the three-level space vector based on two-level space vector to create the dwelling time and switching sequence patterns. The D-Q control method is used to control the harmonics distortion of input current and dc-bus output voltage. A simulation model in Matlab/Simulink and a experiment with DSP-controlled, 1-kW, Viennna-type rectifier are used to verify the proposed method. Analytical, simulated, and experimental results agree well with each other. Experimental waveforms confirm the effectiveness of the presented method for Vienna-type rectifier control system. The results show that the total harmonics distortion of input current is 2.64% and the power factor is 0.99. Moreover, the dc-bus out voltage is regulated at 500 Vdc at the rated power.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115938452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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