Pullulan-based semi-interpenetrating network hydrogel sensor for artificial intelligence-driven pressure recognition.

Under the background of global informationization, sensor is undergoing profound changes; wireless, networking, integration and miniaturization has become the development direction of sensor technology. EIMN (Embedded Wireless Microsensor Network) reflected the development direction of sensor technology, which can be used for environmental and ecological monitoring, industrial process monitoring, traffic management and scheduling, security monitoring, military reconnaissance, and many other fields. This has attracted great attention from the world of industry, academia, and to the security and military departments of many countries. According to the theoretical basis of EIMN and wireless remote image monitoring system technology, this paper put forward a new EIMN system structure; and the corresponding sub-net topology theory and the routing algorithm are studied. This paper creates a new and a wireless remote image monitoring system that required by the market. Therefore, this thesis has important theoretical significance and practical value.

Thermoresponsive, magnetic, adhesive and conductive nanocomposite hydrogels for wireless and non-contact flexible sensors

Modern materials with unique structures and functions are inspired by nature. However, nature's craftsmanship is beyond the reach of traditional handmade techniques. 3D printing technology creates the possibility of creating bionic structures. In this study, inspired by the ability of spiders to sense the capture of prey through the vibration of their webs, a spider‐web‐like, highly sensitive hydrogel sensor is designed and printed. The hydrogel is made of eco‐friendly green polyvinyl alcohol cross‐linked with microcrystalline cellulose. Surprisingly, the 3D‐printed hydrogel sensor can manipulate the sensitivity by changing the angle and strain range of the structure. Accordingly, the Gauge factor (GF) of the 3D‐printed hydrogel (θ = 60°) is up to 58.23, which is 23.9 times higher than that of the non‐3D‐printed hydrogel sensor (GF = 2.43). The GF of the 3D‐printed hydrogel at other angles still remained high at 24.74 (θ = 90°) and 12.31 (θ = 120°), respectively. It can be seen that the 3D‐printed hydrogel sensor has advanced performance. In addition, an intelligent gesture recognition system for human–computer interaction is constructed using 3D‐printed hydrogel sensors, which offers potential prospects for helping people communicate.

This paper focuses on realizing the wireless remote monitoring Mud-rock Flow landslide in remote or complex regional geological environment, on basis of the conclusion of wired image monitoring system, proposed a wireless remote image monitoring system based on GSM/GPRS and ARMLinux developing environment. Firstly, design the overall of the system, analysis the structure of the system's hardware and software. Then, use the APIs of Video4Linux kernel to realize image acquisition of the system, through PPP dial-up to access the GPRS, through network programming to realize the transmission of the image. Finally, a prototype machine of the system developed successfully.

Ultrasensitive and robust self-healing composite films with reinforcement of multi-branched cellulose nanocrystals

Due to the rapid development of science and technology in the current era, fires occur more frequently, and the relationship between various economic activities and things is becoming more and more frequent. The need for real-time monitoring and remote monitoring of various firefighting facilities in buildings has become very urgent; this is a task that must be put on the agenda. The existing urban fire remote monitoring system has fewer intelligent networks, so it has high requirements for the firefighters on duty in the fire control room, which is no longer sufficient for the firefighting needs of the modern society. This paper proposes a wireless city fire remote monitoring system based on Internet of Things technology, NB-IoT technology, and cloud computing technology and studies core technologies such as designing wireless monitoring nodes at the perception layer. In the urban fire protection environment of distributed storage, several important theories, key technologies, and related algorithms are being studied in detail. After a variety of experimental verification results, the spatial data engine and adaptive spatial data model of the metadata database are developed. This provides a distributed storage virtual city geographic environment, multilevel, multiregional design and development of a simulated prototype platform and storage, management, sharing, and visualization of urban geospatial data. After technical analysis, a visualization framework was installed, which has the characteristics of global vector grid integration and distributed spatial data. Through the research on the key technology of distributed storage of the Internet of Things, this paper applies it to urban fire protection and promotes the intelligent development of urban fire protection. The application of IoT storage technology in urban fire protection can solve the shortcomings of the current urban fire remote monitoring system and automatic fire alarm system. Wireless city fire remote monitoring system, real-time collection, and transmission and storage of working status information of various fire facilities in the building are provided. The functions of real-time monitoring, real-time alarm, real-time search query, record query, maintenance management, route guidance, and user management are also realized.

Highly sensitive and structure stable polyvinyl alcohol hydrogel sensor with tailored free water fraction and multiple networks by reinforcement of conductive nanocellulose

With the continuous improvement of living standards, people's demands on security also grow with each passing day. In order to achieve safety monitoring on important places or valuables, a new intelligence monitoring system was designed and implemented. It took the wireless sensor technology and the embedded control technology as the foundation. At the same time, it realized the wireless remote communication with GSM mobile communication technology. The structure, function and working principle of the wireless remote monitoring system were introduced. The hardware and software of the system were all designed and realized. It achieved wireless remote monitoring on important places and valuables finally. Experimental results show that the wireless remote monitoring system works well and has the stable data collection and transmission quality. It has a high value for practical application.

Stretchable, compressible, and conductive hydrogel for sensitive wearable soft sensors

Hydrogel-based flexible strain sensors have shown great potential in body movement tracking, early disease diagnosis, noninvasive treatment, electronic skins, and soft robotics. The good self-healing, biocompatible, sensitive and stretchable properties are the focus of hydrogel-based flexible strain sensors. Dual network (DN) hydrogels are hopeful to fabricate self-healing hydrogels with the above properties. Here, multifunctional DN hydrogels are prepared via a combination of host-guest interaction of β-cyclodextrin and ferrocene with dynamic borate ester bonds of poly(vinyl alcohol) and borax. Carbon nanotubes are used to endow the DN hydrogels with good conductivity. The obtained DN composite hydrogels possess good biocompatibility, stretchability (436%), fracture strength (41.0 KPa), self-healing property (healing efficiency of 95%), and high tensile strain sensitivity (gauge factor of 5.9). The DN composite hydrogels are used as flexible strain sensors to detect different human motions. After cutting, the healed hydrogels also can monitor human motions and have good stability. In addition, the hydrogel sensors may track the respiratory movement of a pig lung in vitro. This work exhibits new ideas and approaches to develop multifunctional self-healing hydrogels for constructing flexible strain sensors.

Self-healing and transparent ionic conductive PVA/pullulan/borax hydrogels with multi-sensing capabilities for wearable sensors

Tough, antibacterial and self-healing ionic liquid/multiwalled carbon nanotube hydrogels as elements to produce flexible strain sensors for monitoring human motion

Monitoring the physical condition of patients is a major errand for specialists. The development of wireless remote elderly patient monitoring system has been intensive in the past. RPM (remote patient monitoring) is reliant on the person's inspiration to deal with their wellbeing. The flow of patient data requires a group of medicinal services suppliers to deal with the information. RPM sending is reliant on a wireless telecommunication infrastructure, which may not be accessible/practical in provincial territories. Patients' data are shared as service on cloud in hospitals. Therefore, in the current research, a new approach of cloud-based wireless remote patient monitoring system during emergency is proposed as a model to monitor the critical health data. The vital parameters are measured and transmitted. In this chapter, the authors present an extensive review of the significant technologies associated with wireless patient monitoring using wireless sensor networks and cloud.

The Science Application International Corporation (SAIC) RadStar{trademark} wireless remote radiation monitoring system (WRRMS) is designed to provide real-time monitoring of the radiation dose to workers as they perform work in radiologically contaminated areas. WRRMS can also monitor dose rates in a room or area. The system uses radio-frequency communications to transmit dose readings from the wireless dosimeters worn by workers to a remote monitoring station that can be located out of the contaminated area. Each base station can monitor up to 16 workers simultaneously. The WRRMS can be preset to trigger both audible and visual alarms at certain dose rates. The alarms are provided to the worker as well as the base station operator. This system is particularly useful when workers are wearing personal protective clothing or respirators that make visual observation of their self-reading dosimeters (SRDs), which are typically used to monitor workers, more difficult. The base station is an IBM-compatible personal computer that updates and records information on individual workers every ten seconds. Although the equipment costs for this improved technology are higher than the SRDs (amortized at $2.54/hr versus $1.02/hr), total operational costs are actually less ($639/day versus $851/day). This is because the WRRMS requires fewer workers to be in the contaminated zone than the traditional (baseline) technology. There are also intangible benefits associated with improved worker safety and as low as reasonably achievable (ALARA) principles, making the WRRMS an attractive alternative to the baseline technology. The baseline technology measures only integrated dose and requires workers to check their own dosimeters manually during the task.

The electronic truck scale wireless remote control cheating method can lead to large economic losses. Aimed at the wireless remote control cheating method, a new wireless remote control monitoring system using the output voltage signal of the weighing sensor is brought out. According to the change times of the sensor output voltage signal, whether the wireless remote control cheat method exists or not can be determined. Based on the monitoring principle, the wireless remote control monitoring system is designed. Experimental results show that the monitoring system can on-time detect the electronic truck scale wireless remote control cheat method.