5results about How to "Accurate flow" patented technology

This utility model discloses a tunnel fire-fighting foam liquid filling system, belonging to the field of fire-fighting equipment technology. It includes several fire boxes, a foam liquid filling vehicle, and a monitoring center. Both the fire boxes and the foam liquid filling vehicle are networked with the monitoring center to achieve data exchange. Specifically, each fire box contains a foam liquid storage tank and a first control device. The foam liquid storage tank is equipped with a first liquid level sensor, a solenoid valve, a variable frequency delivery pump, and a first flow meter. A flow regulating valve and a second flow meter are installed on the pressure water pipe. All components are connected to the first control device. The foam liquid filling vehicle contains a foam liquid storage tank, a variable frequency high-pressure pump, a battery, a third flow meter, and a second control device. Both the first and second control devices are connected to the monitoring center. This utility model provides a highly efficient, intelligent, and easy-to-maintain tunnel fire-fighting foam liquid filling system.

The application discloses a building cross-subsystem data sharing and dynamic permission allocation method based on Internet of Things, and relates to the technical field of building cross-subsystem data processing. Specifically, the analysis of the analysis timeliness and analysis processing capacity of building cross-subsystem data in the sharing process is carried out, the analysis result is used as a benchmark to quantize the adaptation of permission allocation, the analysis capacity is adapted to dynamic load and permission decision, the data quality and communication state are matched, the timeliness and resource utilization efficiency of permission allocation in the building scene are balanced, and therefore, the accuracy of the permission allocation result is improved.

The application discloses a knowledge-based temporal convolution neural network (KB-TGCN) blast furnace fault diagnosis method. The method can solve the space-time dependence and sample imbalance problem of the blast furnace ironmaking process. First, the calculated variables that can further reflect the process state are calculated by using the variables directly detected by the sensor. Then, the knowledge-based graph structure is constructed according to the spatial position and calculation relationship of the variables. Subsequently, a one-dimensional time information extraction module is embedded in the graph convolutional neural network. Therefore, the TGCN can capture time information while maintaining the original spatial relationship. By using the knowledge-based graph structure, the KB-TGCN can fully mine the spatial information of different blast furnace positions. In addition, the method uses a focal loss function with an adaptive balance factor instead of a traditional cross-entropy loss function to overcome the sample imbalance problem.

The utility model relates to the technical field of conveying belt guide, especially a connecting plate for conveying belt guide, which comprises an arc-shaped guide plate, one end of the arc-shaped guide plate is provided with mounting plate one, the other end of the arc-shaped guide plate is connected with mounting plate two through a connecting block, mounting mechanism is arranged on mounting plate one and mounting plate two, the mounting mechanism comprises a base, a clamping plate and a spring, an opening is formed in the base, and a rubber column is further arranged between the two clamping plates. The utility model has the advantages of simple structure, convenient installation and disassembly, effective guiding of products on a wide conveying belt to a narrow conveying belt, effective solution to the problems of product deviation or irregular arrangement in the existing conveying process, stable and accurate flow of products in the conveying process, saving of the original guiding process and manual operation, reduction of the dependence on additional manpower, and significant reduction of production cost.

This invention discloses an intelligent sorting device, belonging to the field of logistics equipment technology. The intelligent sorting device includes a support frame, a main conveyor belt, and sub-conveyor belts. It also includes: an identifier containing the address information of packages mounted on the main conveyor belt; a guide plate, with the movement direction of the sub-conveyor belts forming an acute angle with the movement direction of the main conveyor belt, a rotating shaft connected to one side of the guide plate, the rotating shaft being connected to a bearing on the support frame, and a power unit connected to the rotating shaft; multiple rollers, each roller's lower surface abutting against the main conveyor belt; and a controller electrically connected to the identifier and the power unit. Each sub-conveyor belt corresponds to one address information, and the controller compares the package's address information with the address information corresponding to the sub-conveyor belt. When the two information match, the controller controls the power unit to operate. This intelligent sorting device avoids the risk of damage to the items inside packages caused by unreliable gripping or excessive clamping force when using clamps to grip packages.