Intelligent sensor is a kind of sensor with information processing function. Intelligent sensor with microprocessor has the ability to collect, process and exchange information, which is the product of sensor integration and microprocessor. Shenzhen Xinli intelligent sensor includes intelligent gas sensor, intelligent pressure sensor, intelligent temperature sensor, intelligent temperature and humidity sensor and intelligent liquid sensor. Smart sensor and wireless sensor actually mean the same thing. The former focuses on intelligence, while the latter highlights the characteristics of wireless.
Intelligent sensor is actually a monitoring tool, but it has made many new progress compared with traditional sensors, so it has been widely used in production and life. So, what are the applications of smart sensors? Next, let's take a look at PChouse.
1, intelligent temperature sensor. Intelligent temperature sensor is a kind of sensor that can sense temperature and convert it into usable output signal. It is the earliest developed sensor, which is widely used and has a huge market share. Mainly used in food, electronic production workshops, pharmacies, refrigerators, cold storage, warehouses, computer rooms, laboratories, industrial greenhouses, libraries, archives rooms, museums, incubators, hospitals and other fields that need environmental monitoring.
2. Intelligent temperature and humidity sensor. Intelligent temperature and humidity sensor refers to the equipment or device that converts temperature and humidity into electrical signals that are easy to measure and process. The collected temperature and humidity data are transmitted to the cloud platform through the intelligent network for users to check. Widely used in wine cellar, basement, computer room, granary, grain depot, food, vaccines and other drugs storage and transportation, agriculture and animal husbandry industrial parks, archives and cultural relics, vegetable greenhouses, tobacco, family and industry and other fields.
3. Intelligent vibration sensor. Intelligent vibration sensor is a commonly used motion detection sensor, which senses the parameters of mechanical motion vibration through its internal structure and converts them into usable output signals. Widely used in energy, chemical industry, medicine, automobile, metallurgy, machinery manufacturing, military industry, scientific research and teaching, highway construction, security and many other fields.
What are the types of computing smart sensors?
First, classify according to the input physical quantity.
Such as speed sensor, temperature sensor, displacement sensor, etc. , are classified according to the physical quantity nature of product input. Usually, this classification method is also named according to its input physical quantity, so the purpose of the sensor can be clearly expressed and it is convenient for users to choose. At present, most sensors in smart homes are named like this. However, one disadvantage of this classification method is that sensors with different principles are classified into one category, and it is difficult to find out the similarities and differences of the conversion mechanisms of each sensor.
Second, according to the working principle of classification
At present, this method is classified according to the principles, laws and functions of physics, biology and chemistry, such as infrared, microwave, piezoelectric, thermoelectric, resistance, photoelectric, inductive fiber and ultrasonic. In the intelligent age, infrared sensors are the most common, such as micro-machined thermocouple infrared sensors for temperature control, and can also be used in cookware, hair care appliances and toasters.
Third, according to the classification of physical phenomena
That is, sensors are divided into structural sensors and physical sensors. Among them, the structure sensor is based on the structure (such as shape, size, etc. ), through a certain physical law to feel (sensitive) the measured object, and convert it into an electrical signal to achieve measurement, such as the common capacitive pressure sensor.
Physical sensor refers to a sensor that uses the physical characteristics and effects of some functional materials to perceive (sensitive) the measured data and convert it into usable electrical signals. For example, the piezoelectric pressure sensor measures the pressure through the positive piezoelectric effect of the crystal material itself. With the development of new materials such as semiconductor materials, ceramic materials and polymer materials, physical sensors have developed rapidly. It has the advantages of simple structure, small volume, light weight, sensitive response, easy integration and miniaturization.
Four, according to the classification of energy relations
This kind of sensor can be divided into active sensor (i.e. energy conversion type) and passive sensor (i.e. energy control type). The so-called active sensor is to directly convert non-electric energy into electric energy without external power supply. At present, the common sensors on the market, such as piezoelectric sensors, thermocouple sensors, magnetoelectric sensors, etc., are all active sensors. Passive sensors can only adjust or control the energy in the sensor with the help of auxiliary power supply, among which resistive, capacitive and inductive sensors are the best application cases of passive sensors.
Five, according to the nature of the output signal classification
Mainly classified according to whether the output of the sensor is analog or digital. There are mainly analog sensors and digital sensors. Digital sensors are easy to connect with computers and have strong anti-interference ability, which is the development trend of smart home sensors at present.
What are the applications of automation in wearable human physiological detection technology?
Wearable health monitoring system
(
clothes
health
keep watch on
System,
WMHS) refers to the use of wearable biosensors to collect human motion and physiological parameters, so as to achieve non-invasive, continuous and non-invasive diagnosis and monitoring of the human body, thus helping the wearer to achieve sports and health management. The system generally has basic functional modules such as physiological motion signal detection and processing, signal feature extraction, data transmission and analysis. Among them, the main human body information obtained through the detection of physiological motion signals includes:
The first is in vitro data collection, which mainly obtains the movement state, movement distance and exercise amount through a three-dimensional motion sensor with G-sensor or GPS to help users manage exercise and sleep.
The second is to help users manage important physiological activities by monitoring physical sign data (such as heart rate, pulse rate, respiratory rate, body temperature, calorie consumption, blood pressure, blood sugar and blood oxygen, hormones and body mass index, body fat content).
In recent years, the design and development of wearable biosensor system health monitoring has attracted wide attention, which is mainly due to the increase of medical costs and the promotion of scientific and technological progress such as micro wearable sensors, smart textiles, microelectronics and wireless communication. The health monitoring system based on wearable sensors will minimize the impact on the daily activities of the wearer, so as to realize personal health management under low physiological and psychological load and real-time monitoring of patients' health status. Wearable health monitoring system includes various types of physiological detection sensors, data transmission modules and data processing modules, so it can provide low-cost health, psychological and behavioral state monitoring all day without attracting attention.
What is a smart sensor?
Intelligent sensors not only have the functions of vision, touch, hearing, smell and taste, but also have the "brain" ability of memory, learning, thinking, reasoning and judgment. The former is completed by traditional sensors. The functional structure of the traditional sensor here includes sensing elements, conditioning circuits and analog-to-digital converters (ADC). Sensing elements convert physical quantities describing the state or characteristics of objective objects and environments into circuit element parameters or state parameters, and conditioning circuits convert circuit parameters into voltage signals and normalize them to meet the dynamic range of ADC. The intelligent processor shall intelligently process the digital signal output by ADC, and its main intelligent processing functions are as follows:
1) self-compensation function
According to the prior knowledge of the given traditional sensor and environmental conditions, the processor automatically compensates the signal distortion caused by the linearity, nonlinearity and drift of the traditional sensor hardware and environmental factors through digital calculation, so as to optimally recover the measured signal. The calculation method is realized by software, so as to achieve the purpose of software compensation for hardware defects.
2) Self-calculation and processing function
According to the given mathematical models of indirect measurement and combined measurement, the intelligent processor uses the compensated data to calculate the physical quantities that cannot be measured directly. The given statistical model can be used to calculate the statistical characteristics and parameters of the measured object population. Using a known spreadsheet, the processor can recalibrate the sensor characteristics.
3) Self-learning and adaptive function
The sensor learns the measured sample values, and the processor can identify new measured values by using approximate formulas and iterative algorithms, that is, it has the ability to learn again. At the same time, by learning the measured and affected quantities, the processor adaptively reconstructs the structure and resets the parameters by using the judgment criteria. For example, optional range, optional channel, automatic trigger, automatic filter switching and automatic temperature compensation.
4) Self-diagnosis function
Due to the influence of internal and external factors, the performance of the sensor will decline or fail, which are called soft fault and hard fault respectively. Using the compensated state data, the processor can predict, detect and locate the fault through the electronic fault dictionary or related algorithms.
5) Other common functions
Includes communication interface function for data exchange, digital and analog output function and power-off protection function using standby power supply.
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What are the common smart sensors in smart homes?
Smart home is actually a complete system. In this system, there are many different devices. They play different roles and play different roles. So, what are the common smart sensors in smart homes? Next, let's take a look at PChouse.
1, temperature and humidity sensor. The temperature and humidity sensor can detect the temperature and humidity in the air through a certain detection device, and convert it into electrical signals or other required forms to output information according to certain rules. It is not only related to the quality of the family environment, but also closely related to human health, which can be said to be a vital part of smart home.
2. Infrared sensor. Infrared sensor is a kind of measurement system with infrared as the medium, which mainly works through the physical effect of the interaction between infrared radiation and matter. Infrared sensors have played a great role in the practice of smart home industry. In most cases, the electrical and physical effects produced by this interaction are used to turn on and off electrical equipment through infrared switches.
3. Current sensor. Current sensor is a kind of detection device that can sense the measured current information, and can convert the sensed information into electrical signals meeting certain standards or other required information output forms according to certain rules, which has been widely used in smart home industry.
4.PM2.5 sensor. In recent years, people have paid more and more attention to air quality, and indoor PM2.5 content has also become an important indicator affecting indoor air quality. The monitoring of PM2.5 in smart home system has also become an indispensable and important task.
5. Door magnetic sensor. Door magnetic sensors can be used to detect doors, windows, drawers, etc. Be illegally opened or moved. This kind of sensor is usually installed on doors or windows to sense the opening and closing of doors and windows, and is used in conjunction with other intelligent security products to prevent external intrusion.
6. Gas concentration sensor. Gas sensor is a device that converts the information of gas composition and concentration into information that can be used by people, instruments and computers, and it is also an important detection means of smart home. In smart home, through the gas concentration sensor, the analysis of dangerous gas can be realized, so as to adopt targeted control strategies, which is an important link to maintain the safety of family life.