SCE

Portable volatile organic compound detector
The instrument can rapidly detect VOCs waste gas, and can detect 25 components in PAMS standard gas and 17 components in TO-15 standard gas. The detection limit for acetone and benzene series is 5ppb. The instrument is compact and portable, and can realize the integrated operation of sampling, detection and analysis. Detection range: 5~2000ppb; carrier gas pressure: 25psi; operating environment: -20~50℃; Power <120W; LxWxH: 40×30×20cm; weight: 10kg.
Surface-operated downhole three-component distributed optical fiber enhanced seismic detection system
In order to solve the problem that the existing distributed optical fiber acoustic sensing (DAS) technology index seriously restricts the high-quality acquisition of seismic data, a surface-operated downhole three-component distributed optical fiber enhanced seismic detection system is designed and manufactured. Based on the principle of Rayleigh backscatter coherent detection, its original time-domain single frequency pulse light is transformed into a frequency continuously modulated pulse light. Strictly control nonlinear effects during the modulation process. Based on the characteristics of the Bessel function after optical mixing and the function of a broadband light intensity modulator, a matched filtering method is used to detect signal light from the frequency domain, so that the spatial resolution index is only related to the bandwidth of the modulation frequency and has consistent spatial resolution along the entire fiber. The detection length is related to the repetition period of the pulse light. It can overcome the mutual constraints between traditional DAS indicators and improve various key indicators.
Environmental pollution warning and forecasting system for industrial park
Based on the 3D scene model, the environmental pollution warning and forecasting system of the chemical industry park is established by adopting the geographic information, intelligent perception and Beidou navigation and positioning technology, so as to monitor the environmental quality, dangerous chemicals and warehouses of the chemical industry park in real time. The technology is advanced and the visibility is strong, which can effectively guarantee the environmental quality of the park, prevent the explosion of dangerous goods and man-made destruction events, provide detailed and reliable basis for the safety and effective management decision of the park, and greatly improve the safety management informatization and level of intelligence of the chemical industry park.
System for capture of shale leakage and temperature abnormality by optical fiber sensor
Based on the principle of spontaneous Brillouin scattering in optical fiber, the relationship between the main performance parameters such as Brillouin frequency shift, maximum power dissipation, Brillouin linewidth and spectral type factor and the disturbed parameters such as temperature and strain, is derived. In case of leakage of shale gas pipe, the temperature at the leakage outlet drops. The optical fiber sensors laid along the pipe can capture these temperature anomalies in time, and through the intelligent alarm algorithm, it can automatically alarm in real time and accurately locate the location information of abnormal points. When mechanical excavation, drilling and gas stealing and natural disasters occur around the pipe, the strain signals with different characteristics will be produced. The optical fiber sensor can obtain the time, place, event trend and other information of abnormal events. By analyzing the strain waveform and extracting the characteristic signal, combined with the expert database and neural network recognition algorithm, the event type can be determined, and the events that may endanger the safety of the pipe can be warned in advance to ensure the safety of the pipe operation.
Comprehensive supervision cloud platform of hydrology and water ecology
Using remote sensing, intelligent sensing, internet of things, cloud computing, geographic information and 3D modeling to build a comprehensive supervision cloud platform of hydrology and water ecology. It can realize the collection, transmission, processing and analysis of information on water users, water sources, river discharge outlets, reservoirs and river sections, monitoring of water resource development and utilization, exchange and sharing of water resource information, comprehensive health analysis and evaluation of the hydrological and water ecological environment, and real-time online monitoring and disaster warning of hydrological stations, rainfall conditions and risk areas, so as to provide basic support for the implementation of smart water conservancy.
Intelligent recognition system for pine wilt disease
The intelligent recognition system for pine wilt disease developed independently adopts advanced artificial intelligence technology DenseNet (dense convolutional network) structure to construct training module, and intelligent fusion algorithm is adopted to carry out early, rapid and accurate identification of dead pine trees with pine wilt disease, with accuracy rate of more than 85%, processing efficiency of 20km2/day and position accuracy of diseased trees better than 10 meters. It solves the problems of low efficiency, long time consumption, human error, early diagnosis and early warning of pine wilt disease, and provides effective technical support for protecting the safety of forest resources in China.
Miniature malodorous gas detector
The instrument can rapidly detect odorous gases such as dimethyl disulfide, carbon disulfide, methyl mercaptan, methyl sulfide, hydrogen sulfide, ammonia, ethanol, styrene, trimethylamine, and conventional pollutants such as O3, NOx, CO, PM and TVOCs. The instrument is small and light (<3Kg), featured in low energy consumption, simple operation and wireless data transmission, and suitable for emergency and mobile detection scenarios.
Remote sensing image refinement 3D modeling system
The self-developed remote sensing image refinement 3D modeling system (PDCIM) adopts the original image matching and adjustment algorithm, focuses on overcoming the technical difficulties such as UAV image matching and high-precision processing algorithm, improves the 3D scene modeling accuracy of UAV image to 2 cm, up to 5 mm, and improves the processing efficiency by 5-10 times, reaching the world-class level. It is of great significance to realize the localization of 3D modeling software. The technology is widely used in smart cities, smart parks, urban planning, digital villages, smart environmental protection, emergency relief, public security, land mapping, smart water conservancy, smart power, smart transportation, smart forests and many other fields.
Design method of hybrid refractive-diffractive micro-optical structure
The design method of hybrid refractive-diffractive micro-optical structure is proposed in the project, a random free-form continuous curved micro-optical structure is designed, the problem of laser large-angle homogenization is solved, the structure preparation of a continuous curved 3D micro-optical sensing chip with periodic distribution and random distribution is realize by using a mask moving lithography technology, and a 3D micro-optical intelligent sensing chip is formed, which can be used as a core element in a 3D deep sensing camera, depth information is added, and the sensing requirement of the real 3D space world is met. It has a wide range of application prospects in the fields of face recognition, unmanned driving, posture recognition and 3D measurement, and has been applied to the deep sensing camera of domestic high-end mobile phones. 
Intelligent IOT urea filling equipment of diesel vehicle
Intelligent IOT urea filling equipment of diesel vehicle is composed of intelligent IOT control mainboard, network operation platform and filling equipment. The intelligent IOT control mainboard (LK-VUS-CORE-V1) is a key component applied to the intelligent IOT control terminal, which can be applied to a variety of industries and complete the terminal sensor data acquisition, network transmission and actuator control. The intelligent IOT operation platform (LKAS) matched with the intelligent IOT control mainboard adopts PAAS system architecture and concept to complete information transmission (DTS), online settlement (OTM), customer relationship management (CRM), industry channel management (BIM) and digital intelligence operation (IDS), among which BIM and IDS are innovative concepts and services. The intelligent IOT filling equipment is combined with the mainboard and platform and successfully applied in the automotive urea industry, providing reliable operating equipment for automotive urea operators, providing intelligent and convenient services for freight drivers, improving the service quality of the entire industry and improving the relationship between supply and demand.
Intelligent self-service coffee machine
The intelligent self-service coffee machine has two major features: 1. convenience; 2. unattended operation and low labor cost. It can be widely used in a variety of scenes, such as schools, banks, hospitals, highway service rest areas, tourist attractions, high-end residential areas and industrial parks. There is a large market size. The intelligent self-service coffee machine will be defined as intelligent financial technology terminal, and even extended to supply chain marketing, online and offline mall interaction, screen advertising, 3D naked eye advertising, big data financial products, even light social platforms such as games platforms.

Case presentation

The livestock breeding industry is mainly affected by breeding species, feed types and quality, epidemic diseases, growth environment and management level. The environmental factor accounts for about 20%-30%. The environmental factor of piggery includes temperature, humidity, noise, light and harmful gases (ammonia, nitrogen, hydrogen sulfide, nitrogen dioxide). The important influence of environmental factor on breeding industry has been confirmed by a large number of scientific experiments and production practices at home and abroad. The IOT-based intelligent livestock breeding system uses the IOT technology, focuses on the production and management links of the facility livestock farm, collect the environmental information (carbon dioxide, ammonia, air temperature and humidity) of the farm online through intelligent sensors, integrates and transforms the existing environmental control equipment of the farm, and realize the intelligent production and scientific management of livestock breeding. Farmers can master the environmental information of the farm in real time through information terminals such as mobile phones, PDAs and computers, obtain abnormal alarm information in time, and remotely control corresponding equipment according to the monitoring results, so as to realize the purposes of healthy breeding, energy saving and consumption reduction.

Construct the intelligent management platform of Fuling Longtan high-quality rice industry, and provide IOT "four-condition" monitoring system, smart agricultural quality inspection system, green prevention and control system, rice direct seeding UAV, visual monitoring system, and data display screen system. The layout, software development, hardware and network operation environment and database construction of Fuling Longtan High-quality Rice Agricultural Intelligent Production Project shall be planned as a whole. According to the development and application focus of the industrial park, the construction of the Project shall be realized step by step in a planned way. The project construction shall be considered from the perspectives of foundation, commonality and availability, providing agriculture-related information and intelligent services for enterprises, institutions and individuals engaged in the production, processing and sales of agricultural products in the industrial park, and providing big data support for information sharing and data exchange of administrative departments and production enterprises.