35results about How to "Not easily affected by environmental factors" patented technology

The invention relates to a thermal field distribution measurement system of a sonic nozzle pipe wall, which includes an adiabatic fixture for clamping a sonic nozzle in a fluid channel, and a miniature thermocouple array for collecting the section temperature of a sonic nozzle, and the adopted sonic nozzle is made of metal In this way, the heat-insulating fixture is made of heat-insulating material, including two fixture units that can be disassembled and can be fixedly connected together, each fixture unit includes a fixture shell and a clamping column located on the axis of the fixture, and the clamping column The middle part of the body is provided with a through fluid channel, and the ends of the clamping cylinders of the two clamp units are respectively sealed and connected with one end of the sonic nozzle, so that the sonic nozzle is fixed on the axis of the heat insulating fixture and communicated with the fluid channel. After the fixture unit is fixedly connected, an annular gap is formed between the fixture shell and the clamping cylinder; thermocouple implantation holes with different positions and different depths are provided on the body of the sonic nozzle for implanting a thermocouple sensor array.

The invention discloses a pig diet abnormal intelligent monitoring method and system, comprising a pig diet data acquisition layer, a pig diet data transmission layer, and a pig diet abnormal intelligent monitoring layer; the pig diet data is uploaded to the pig through the Ethernet of the pig diet data transmission layer Intelligent monitoring layer for abnormal diet; the intelligent monitoring layer for abnormal diet of pigs processes, judges, displays and alarms the collected dietary data. The invention is reasonable in design, low in cost, simple in structure, small in size, high in stability, not easily affected by environmental factors, friendly in human-computer interaction, improves the intelligence level of pig diet abnormality monitoring, reduces manual dependence, and improves pig diet Anomaly detection efficiency.

The invention discloses a preparation method for nano-gold immunity chromatography capillary. According to the method, a chemical-bond crosslinking method is employed to performing modification on the inner wall of a capillary glass tube, a quality-control zone and a detection zone are fixedly disposed at specific zones of the inner wall of the capillary, so that a novel immunity chromatography capillary is assembled. According to the preparation method, the glass-texture capillary is taken as a base and is more stable compared with capillaries made from cellulose nitrate membranes, paper materials and linear materials; the base material is relatively firm and not easy to fall off, is even more not easily influenced by environmental factors, and is capable of substantially reducing differences between batches and in a batch; and the assembling process is relatively simple and does not need large-scale apparatuses during assembling, and the modification and assembling technologies are simple and easy for mastering.

The invention discloses an active control method for data collection of a mobile device, comprising: selecting at least one characteristic position from a three-dimensional map of the target environment, and recording the relevant data of the at least one characteristic position; when the mobile device is in the target environment When moving, according to the positioning result of the mobile device to itself, one or more data collection devices mounted on the mobile device are controlled, so that the one or more data collection devices collect the relevant data of the at least one characteristic position . The invention also discloses an active control device for data collection of a mobile device and a mobile device. The mobile device based on the embodiment of the present invention can actively control the way of data collection, and actively acquire the required data, which can be used for precise positioning of itself.

The invention provides an evaluation method for household air conditioner refrigerating efficiency. The method comprises the steps that different operating environmental parameters of a new air conditioner and a database of a corresponding operating temperature variation curve are established; operating environmental parameters of an old air conditioner are matched to the operating environmental parameters of the established new air conditioner of the same type to obtain the operating temperature variation curve family of the matched new air conditioner of the same type; the operating temperature variation curve family of the new air conditioner matched to the operating parameters of the old air conditioner is clustered to obtain a clustered center; the average Euclidean distance between an operating temperature variation curve of the old air conditioner and the clustered center of the operating temperature variation curve family of the new air conditioner of the same type is computed;the refrigerating efficiency of the old air conditioner is evaluated according to the value of the average Euclidean distance. The method has the advantages that auxiliary judgement can be well provided for the early discovery and eliminating of the faults of a household air conditioner, and a large amount of labor force and materials resources are saved.

The invention discloses a method for detecting the S-shaped driving behavior of a vehicle in a weighing area of ​​a dynamic flat scale. Including: use the camera on the side of the road to collect the image of the flat scale area, input the contour abnormality detection neural network for analysis; when the contour is normal, input the flat scale area image into the flat scale perception neural network to obtain the flat scale semantic segmentation map; use the edge contour map And the edge-aware neural network of the flat scale performs edge perception on the semantic segmentation map of the flat scale, and obtains the distribution map of the edge points of the flat scale; performs straight line fitting on the edge points, and performs perspective transformation to obtain a top view of the edge line of the flat scale; detects and collects car images The wheel landing point in the vehicle; the detected coordinates of the wheel landing point and the top view of the edge line of the flat scale are transformed into the same coordinate system, and according to the positional relationship between the wheel landing point and the edge line of the flat scale, it is judged whether the car has an S-shaped driving behavior. The invention can accurately identify the S-shaped driving behavior of the weighing vehicle.

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring method, an optical fiber sensor-based natural gas pipeline leakage monitoring system and a system construction method. Optical fibers in a communication optical cable which is laid in the same channel of an oil and gas pipeline respectively serve as a transmitting optical fiber and a returning optical fiber; pipeline leakage optical fiber sensors are connected in parallel between transceiving transmitting optical fibers to form an optical path by an optical multiplexing technology; the pipeline leakage optical fiber sensors are uniformly arranged along the pipeline; laser light emitted from a light source is subjected to beam splitting through a transmission optical path and is transmitted to the sensors arranged on the wall of the pipeline; after the sensors pick up leakage vibration signals and noises propagated along the pipeline, the leakage vibration signals and the noises are returned to a photoelectric detector part of the system through the transmission optical path; the acquired vibration wave signals are analyzed and processed; and the position of a vibration wave source is determined by combining the propagation speed of the vibration wave on a pipeline body according to the time delay of the vibration waves propagated to the adjacent optical fiber sensors. By the method and the system, the flexibility is high; and the positioning accuracy is high.

The invention provides a moving vehicle audio detection system, the system includes a plurality of MEMS microphone modules in an array, used to collect tire sound signals of moving vehicles, and convert the collected sound signals into digital signals; the plurality of MEMS The microphone module is connected to a signal processing unit, and the signal processing unit receives digital signals of a plurality of MEMS microphone modules, and processes the digital signals to calculate the positioning information of the vehicle, wherein the signal processing unit executes the following instructions to calculate the positioning information of the vehicle : The signal processing unit is connected to a communication module, and outputs the calculated vehicle positioning information through the communication module. The invention is convenient for installation and maintenance, and can effectively reduce the influence of environmental factors in the vehicle positioning process.

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring system. The optical fiber sensor-based natural gas pipeline leakage monitoring system comprises an optical path system and a circuit. optical fiber sensors are arranged on a pipeline body at certain intervals; a plurality of adjacent optical fiber sensors form an optical fiber sensor group; the optical fiber sensor groups are connected with a light source through one transmitting optical fiber; each optical fiber sensor group is connected with an photoelectric detector through a return optical fiber; the output of the photoelectric detector is connected with a signal acquisition and processing module with leakage signal identifying and event positioning functions; and the output of the signal acquisition and processing module is connected with a microcomputer through an external interface. By the method and the system, the flexibility is high; and the positioning accuracy is high.