In order to ensure production safety and improve production efficiency, mining enterprises are constantly accelerating the construction of mine Internet of Things systems. In the context of a substantial increase in the number of devices with network communication capabilities in the mine, the mine network communication facilities are under tremendous pressure. We propose a device business classifier based on convolutional neural networks to improve the service quality of mine network communication infrastructure. The classifier uses wavelet transform to extract the data flow and construct behavior characteristics to classify device business categories. According to the classification results, the system flexibly adjusts the parameters of network services provided to the terminal equipment. In this way, the network resources of the system can be allocated reasonably. We evaluate the performance of the classifier model through the test data set. The performance evaluation results show that the comprehensive recognition rate of the classifier model reaches 97.2%. We optimize and adjust the classifier model according to the hardware environment in which the classifier is actually deployed.

The Industrial IoT is one of the key technologies to improve industrial production efficiency. The entire production process usually involves multiple production regions and numerous smart devices (sensors and actuators). The efficiency of the Industrial IoT is limited by this strong coupling relationship between the subsystem and the sensors and actuators. In this paper, to unleash the potential of Industrial IoT, a safe and reliable data sharing mechanism of sensors and actuators is proposed. We deployed distributed identity authentication and data proxy services in various regions. In the device authentication process, we used identity-based encryption algorithms, and we solved the trust problem between different regions by introducing a private blockchain. In addition, we designed the model of device capability (MDC) to describe the device, enabling it to be shared with a standard interface. Finally, we conducted many performance tests on the proposed mechanism. The test results verified the effectiveness and efficiency of the proposed mechanism.

Background: To explore the association between the service quality of community health centres (CHCs) as the supplier evaluation and patients’ experiences of health services as the demand-side evaluation.Methods: This study was conducted at six CHCs in the Greater Bay area of China. During August–October 2019, 1568 patients were recruited (55.8% women and 44.2% men). We evaluated the service quality of CHCs using the National Committee for Quality Assurance Patient-Centered Medical Home (NCQA-PCMH) recognition questionnaire. We assessed patients’ experiences with medical and health services using the Primary Care Assessment Tools (PCAT). Results: The global PCAT score was higher at the CHCs with higher NCQA-PCMH levels, showing positive dose-effect trends. This was similar for the PCAT sub-dimensions. For example, the scores of each PCAT sub-dimension of NCQA-PCMH Level 3 were significantly higher than those of Levels 2 and 1. Except for D and F dimensions, the scores of other sub-dimensions of Level 2 were significantly higher than those of Level 1.Conclusions: Our results indicated that better institutional service quality evaluation determined by the NCQA-PCMH led to better patients’ experiences as determined by the PCAT. Our findings added new evidence in support of better institutional primary healthcare service quality leading to better experiences among patients, and would help further improve the patient-centred primary healthcare service policy and management.

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Background To explore the association between the service quality of community health centres (CHCs) as the supplier evaluation and patients’ experiences of health services as the demand-side evaluation. Methods This study was conducted at six CHCs in the Greater Bay area of China. During August–October 2019, 1568 patients were recruited (55.8% women and 44.2% men). We evaluated the service quality of CHCs using the National Committee for Quality Assurance Patient-Centered Medical Home (NCQA-PCMH) recognition questionnaire. We assessed patients’ experiences with medical and health services using the Primary Care Assessment Tools (PCAT). Results The global PCAT score was higher at the CHCs with higher NCQA-PCMH levels, showing positive dose-effect trends. This was similar for the PCAT sub-dimensions. For example, the scores of each PCAT sub-dimension of NCQA-PCMH Level 3 were significantly higher than those of Levels 2 and 1. Except for D and F dimensions, the scores of other sub-dimensions of Level 2 were significantly higher than those of Level 1. Conclusions Our results indicated that better institutional service quality evaluation determined by the NCQA-PCMH led to better patients’ experiences as determined by the PCAT. Our findings added new evidence in support of better institutional primary healthcare service quality leading to better experiences among patients, and would help further improve the patient-centred primary healthcare service policy and management.