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This study investigated the effects of different citric acid content on the physico-mechanical and biological durability of rubberwood particleboard. Particleboards with density of 700 kg/m3 were produced with three different citric acid contents, namely 10, 15 and 20 wt%. Particleboards made from 10 wt% urea formaldehyde (UF) resin were served as control for comparison purposes. FTIR analysis was carried out and the formation of ester linkages between -OH on cellulose and carbonyl groups of citric acid was confirmed. The peak intensity increased along with increasing citric content, which indicated that a higher amount of ester linkages were formed at higher citric acid content. Citric acid-bonded particleboard had inferior physical properties (water absorption and thickness swelling) and mechanical properties (internal bonding strength, modulus of rupture and modulus of elasticity) compared to that of the UF-bonded particleboard. However, the performance of particleboard was enhanced with increasing citric acid content. Meanwhile, citric acid-bonded particleboard displayed significantly better fungal and termite resistance than UF-bonded particleboard owing to the acidic nature of citric acid. It can be concluded that citric acid is a suitable green binder for particleboard but some improvement is needed during the particleboard production process.

Based on 5G new technology, smart power plant takes advantage of 5G's characteristics of large bandwidth, low delay, large connection, and anti-interference to build a full coverage Internet of things in complex environment of power plant. Firstly, this paper analyzes 14 typical services of smart power plant, and summarizes their communication requirements. Secondly, the private network architecture and multi service slicing scheme of 5G smart power plant are proposed. Then, based on the theoretical analysis and test results, the performance of 5G system with different frequencies is compared. Finally, based on the indoor and outdoor co frequency test results, this paper demonstrates the feasibility of CO frequency networking of 5G system in smart power plant. The research results of this paper are helpful to promote the application of 5G technology in smart grid. Improve the intelligent management and operation ability of power grid enterprises, and enhance the comprehensive ability of power plant safety monitoring and intelligent diagnosis.

5G can better meet the security, reliability and flexibility requirements of power grid business, and realize differentiated service guarantee. This paper focuses on the application scenarios of 5g smart power plant, and studies the applicable routing protocol and optimization scheme. The existing RPL uses a single link quality expected transmission times as the routing metric to calculate and compare the optimal paths. However, when some nodes in the network consume too much energy due to uneven load, the topology cannot be dynamically adjusted according to the routing metrics. In this paper, energy consumption is introduced to calculate the energy consumption of nodes. Combined with the expected number of transmissions, an improved RPL routing algorithm nb-npl based on energy balance is proposed. The algorithm not only takes into account the reliability of the link, but also considers the energy consumption information of the node, so that the node can avoid selecting those nodes with more energy consumption in the default routing selection process, which solves the problem that individual nodes are always in heavy use, and effectively performs the network life.

In the context of the rapid increase of the number of faults in power data communication networks, in order to ensure the reliability of power data communication services, how to quickly recover the affected power data communication services has become an urgent problem to be solved, when the underlying network fails. In order to solve this problem, this paper first analyzes the two indicators of the affected service from the availability of power service and the return of the power service, and the three indicators of node reliability from the node degree, the node centrality, and the proximity between the nodes. Secondly, the entropy weight method is used to calculate the index weights, and the objective evaluation of each index weight is realized. Finally, the fault recovery algorithm of power data communication network based on node reliability is proposed. In the simulation experiment, compared with the traditional algorithm, the algorithm has achieved good results in terms of fault recovery rate and power data communication network revenue.

In order to solve the problems of high false alarm rate and long inference time of the congestion link inference algorithm in power data networks, this paper proposes a congestion link inference algorithm of power data network based on Bayes theory. First, based on the network topology and detection relationship, a detection matrix is constructed, and the detection matrix is simplified using Gaussian Jordan elimination method. In order to reasonably select the detection, the detection information gain is designed to make the judgment. Secondly, in order to accurately infer congested links, a Bayesian model for detecting link associations is constructed based on the detection results, and based on the model, congested link inference is performed using the maximum posterior probability. Compared with the existing algorithms, it is verified that the algorithm in this paper has achieved good results in three aspects: the accuracy of congested link inference, the rate of false positives, and the length of inference.

In order to identify the key nodes in the power data service and assign high reliability network resources, this paper proposes a power data network resource allocation algorithm based on TOPSIS algorithm, which consists of five parts: calculating the importance index of communication network resources, calculating the importance index of the service node, calculating the importance evaluation of the service node based on the TOPSIS algorithm, allocating resources to the service node in turn, and allocating resources to the service link. In the simulation experiment, the success rate of resource allocation, resource utilization, and resource allocation performance of key nodes are compared. It is verified that the algorithm cannot decrease success rate and resource utilization, and key service nodes are allocated better resources and improve the performance of resources.