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In order to better realize the intelligent perception of fault location information of power distribution communication access networks in different scenarios, this paper carries out the construction of a power distribution communication network system through industrial Ethernet technology combined with EPON technology under fiber optic communication technology. Based on GIS technology and combined with OTDR technology, we constructed a fault location system for the fiber optic cable of the power distribution communication network so as to realize the acquisition of fault location information. From the multi-source state information, the joint Kalman filtering model is used to excavate the characteristics of the grid operation state, and then the fusion of multi-source heterogeneous data of power distribution communication is realized. To verify the effectiveness of the distribution communication network system constructed in this paper for locating fault information and intelligently collecting power consumption, system tests were conducted. The results show that the relative error of the node voltage estimation of the joint Kalman filter algorithm is below 0.015%, which improves the accuracy of fault identification in the distribution network. The system constructed in this paper for information transmission connectivity testing PON port light-emitting power range of 2~6dm, receiving optical power greater than -25dm, each PON port without power overload. This shows that the distribution automation communication network constructed in this paper meets the information collection requirements, and the construction of an intelligent distribution communication network can meet the requirements of distribution automation and can also accurately collect the fault location information of the distribution network.

Background Recent studies about the use of Traditional Chinese Medicine (TCM) to treat cough variant asthma (CVA) , a common respiratory disease, are increasing. TCM has proven to be effective in improving symptoms and the overall treatment efficacy of CVA, but relevant research is still in the exploratory stage, and there are no unified and standardized diagnostic criteria for CVA. Objective To explore the common syndromes and symptom characteristics of CVA. Methods The literature related to CVA syndromes or symptoms treated by TCM was searched in CNKI, Wanfang Data, VIP, and SinoMed databases from inception to October 2, 2021. SPSS 25.0 software was used to support the input of extracted information to establish a database, and the statistical treatment of the frequencies of CVA-related syndromes and symptoms. The symptoms with a frequency over 5% were selected for factor analysis, and the common factors were extracted for further hierarchical cluster analysis, and the potential syndromes were inferred from the results. Using Lantern 5.0 software, based on the LTM-EAST (Latent Tree Model-Extension Adjustment Simplification until Termination algorithm) , a latent structure model was constructed and a comprehensive cluster analysis was performed to infer potential syndromes. Then the common syndromes and symptom characteristics of CVA were obtained by combining the results of frequency statistics, hierarchical clustering, and latent structure analysis. Results A total of 621 studies were included, involving 115 symptoms, including cough, pharyngeal itching, low sputum volume, etc. Thirty-nine syndromes were involved, among which the highly frequent syndromes were pathogenic wind invading the lung, wind and cold invading the lung, and lung yin deficiency. Six potential syndromes were derived from hierarchical cluster analysis, including wind and heat invading the lung, liver fire invading the lung, lung qi deficiency and so on. The latent structure analysis was performed on the symptoms with frequency over 3%, by which 21 latent variables, and 42 latent classes were obtained, and 12 potential syndromes were further inferred by comprehensive clustering, including pathogenic wind invading the lung, wind and cold invading the lung, wind and heat invading the lung, and so on. Based on the above analyses, 11 common syndromes were finally identified. Each syndrome has specific symptom characteristics, for example, the syndrome of pathogenic wind invading the lung manifests itself as cough, sneezing, running nose, and nasal congestion. Conclusion We identified 11 common syndromes of CVA with typical symptom characteristics, which are pathogenic wind invading the lung, wind and cold invading the lung, wind and heat invading the lung, wind and dryness damaging the lung, phlegm and heat congesting in the lung, phlegm and dampness accumulating in the lung, liver fire invading the lung, cold fluid retention in the lung, lung qi deficiency, lung yin deficiency, and lung-spleen qi deficiency. Our analysis will provide a basis for clinical syndrome differentiation and clinical investigation of CVA.

LED packaging miniaturization has raised more requirements for LED materials. As a material contacting the LED chip directly, the reliability of LED non-conductive adhesive has also garnered increasing attention. This study optimized the formula for non-conductive adhesives for an imidazole curing system. The optimized composition of the adhesive is 25%wt for the curing agent and 30%wt for the silica. The prepared non-conductive adhesive has a 7-day pot life and 9-month storage stability. The shear strength reached 87 g and 72 g at 25 °C and 160 °C, respectively. The reliability of the LED modules packaged with the non-conductive adhesive was researched. The green and blue light intensity change was 4.7%, 43.7%, respectively, indicating good anti-aging properties. The blue light decay was mainly due to adhesive aging. The non-conductive adhesive effectively prevented "caterpillar" growth. This provides useful and practical guidelines for industry for applications of adhesive in different packages. [ABSTRACT FROM AUTHOR]