Chlorinated polyvinyl chloride (CPVC) pipes are used more and more widely as protective conduits in the field of power cables. According to the application characteristics in the field of cables, there are special requirements for the performance parameters of CPVC pipes. In this paper, several key performance parameters such as CPVC pipe size inspection, ring stiffness, longitudinal retraction rate, vicat softening temperature, density and flattening test are selected, and the theoretical research of the test method is carried out. On the basis of theoretical research, the difference between the dimensional inspection, the ring stiffness, the longitudinal retraction rate, the density and the vicat softening temperature parameters of the unqualified sample and the qualified sample are compared. It is found that the unqualified samples of the flattening test have relatively poor compressive performance, and the longitudinal plasticity stability under the influence of the heat source is also relatively poor. Moreover, when the sample size is unqualified, it directly affects the compressive performance of the sample. Through the research results, it provides the necessary reference for the application of CPVC pipes in the field of power cables.

The landslide susceptibility prediction(LSP) is of great importance to the prevention and control of regional landslide geology disasters. Taking Ningdu County of Jiangxi province as an case, this study obtains a total of 297 landslide locations in the study area and selects ten conditioning factors (elevation, slope aspect, slope, profile curvature, plan curvature, topographic relief, distance to rivers, lithology, NDVI, NDBI). The information value model(IVM) is used to predict the landslide susceptibility and the receiver operating characteristic curve (ROC) is adopted to evaluate the prediction accuracy of IVM. The result shows that the area under ROC (AUC) value of IVM is 0.838. It can be seen that IVM has a good prediction accuracy and also obtains a reasonable distribution characteristics of landslide susceptibility.

The nitrogen content in imported recycled plastic particles was determined by elemental analyzer method and Kjeldahl method, respectively, and the acrylonitrile content was obtained by conversion to obtain the information on the consistency of polymer composition in recycled plastic particles. Two specific cases judged by this method were given. This method was available to provide a creative idea and method for the identification of solid waste characteristic of recycled engineering plastic particles containing acrylonitrile monomeric units such as acrylonitrile-styrene copolymer (SAN) recycled particles, acrylonitrile-butadiene-styrene copolymer (ABS) recycled particles, PC/ABS alloy recycled particles, PBT/ABS alloy recycled particles, PMMA/AS alloy recycled particles.

This study aims to investigate the fluctuation characteristics and source signature of ground level ozone (GLO) at a receptor site in commercial urban-industrial and suburban industrial area in Shah Alam, Selangor, and Bakar Arang are hot spots for industrialization. The fluctuation characteristics of ozone in industrial is determined using critical conversion time (CCT) and introduce the Critical Transformation Time (CTT) using secondary data from 2000 to 2011. We also use Principal Component Analysis (PCA) to determine the primary sources from atmospheric parameter and meteorological parameter. It was observed that suburban Bakar Arang has earlier CCT between 8.00 a.m. and 9.00 a.m. compared to Shah Alam where CCT occurred between 10.00 to 11.00 a.m. Results of PCA indicate ozone CCT fluctuation contribution in Shah Alam by primary air pollutants (CO, NO, NO 2 , CH 4 ) and meteorological influence are 64.1% and 41.5%, respectively, higher than that in Bakar Arang. The use of CCT and CTT show specific time range of ozone production and destruction. These sources of compounds lead to formation of GLO and affecting the CCT. The application of CTT could be a signal of the urgent need to manage nitrogen emission from commercial industrial areas.

With the large-scale penetration of renewable energy, the safe and stable operation of power grid and economic dispatch are facing great challenges. How to realize accurate perception of internal load characteristics of power users is an important technical difficulty to support power demand side management. For this reason, this article is based on extensive IOT technology in electricity, and a non-invasive power load monitoring method (NILM) based on cloud edge collaboration is proposed. Through the two-level architecture of "edge identification" and "cloud correction", the method effectively overcomes the contradiction between the weak computing capability of edge terminal and the heavy communication pressure of cloud master station. The experimental results show that the method can effectively improve the accuracy and reliability of traditional NILM method by considering the influence of external factors.

Ultra-high-performance concrete (UHPC) is expected to provide solutions for the development of lightweight, high-strength, and rapid construction of concrete bridges due to its excellent material properties. In order to study the influence of steel fiber on the bending performance of non-reinforced UHPC (NR-UHPC) slabs, the bending failure test of 8 NR-UHPC slabs was completed with the steel fiber content as a parameter, and the failure mode, load-deflection, crack widths and load-strain curves of the test slabs were analyzed. The test results show that the destruction process of the NR-UHPC slabs can be divided into three stages: elastic stage, cracking stage and failure stage. The load-deflection curve and load-strain curve of the specimen with steel fiber content of 0.5%-1% change linearly during the elastic phase. In the elastic phase, the load-deflection curve and the load-strain curve of the test piece with a steel fiber content of 2%-3% were not smooth after the linearity begins; the strain of the UHPC slab was almost the same within 0-10 kN. However, as the load increased, the larger the amount of steel fiber was, the smaller the strain was, that is, the UHPC slab had good crack resistance. According to the regression analysis of test results at home and abroad, recommended design formulas for the bending bearing capacity of NR-UHPC slab were put forward, which tally well with the test results.