12results 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 utility model relates to the technical field of appliance cleaning, in particular to a material barrel cleaning device which comprises an outer frame body, a cleaning table plate, a supporting column used for supporting the cleaning table plate and a flow guide supporting column used for being communicated with an external drainage system, a plurality of spraying heads used for spraying cleaning water are arranged on the outer frame body in a sliding mode, and the spraying heads are arranged on the outer frame body in a sliding mode. Any spraying head is arranged above the cleaning table plate, the cleaning table plate inclines towards the upper right relative to the horizontal plane, a drainage hole is formed in the lower end of the left side of the cleaning table plate, the interior of the flow guide supporting column is communicated with the drainage hole to form a drainage channel, and the positions of the spraying heads can be adjusted according to needs in the using process; therefore, the material barrel is subjected to water spraying cleaning operation; sewage on the cleaning platform plate can quickly flow to the drainage holes under the action of gravity and then is discharged through the flow guide supporting columns, and compared with a traditional cleaning mode, the drainage efficiency is effectively improved, the situation that water is accumulated on the cleaning platform is reduced, and the possibility of secondary pollution of the material barrel is reduced.

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 invention discloses a wide-working-condition and high-stability two-phase experiment circulating system and a testing method thereof, and relates to the field of electronic device heat management, and the experiment circulating system comprises a pumping unit, a flow control and pressure stabilization unit, a pressure control unit, a temperature control unit, a condensation unit and a data acquisition unit. According to the experimental system, a wide-working-condition and high-stability two-phase flow cycle test environment is realized through cooperation of the pumping unit and the flow control and pressure stabilization unit, the flow heat exchange performance of the two-phase flow heat exchanger at different inlet flows, supercooling degrees and dryness can be actually tested, and multi-dimensional data such as temperature, pressure and flow state of each key node in a loop can be monitored in real time; the comprehensive performance of the heat exchanger is completely reflected, and experimental basis and design reference are provided for operation of a two-phase flow cooling system of an electronic device and optimization design of the heat exchanger.

A perlite ore sand negative pressure feeding device, including, the upper end of the elevator is provided with a discharge pipeline, one side of the elevator is provided with a mound packaging platform, the hopper is located on the side away from the mound packaging platform of the elevator, the lower end of the hopper is connected with a first auger, the upper part of the hopper is provided with a bin top dust collector, the electric plug valve is connected between the hopper and the first auger, and the second auger is connected below the first auger.The point is that this way can not only ensure the stability and uniformity of the raw materials in the conveying process, but also reduce the loss and waste of raw materials, improve production efficiency and product quality, meet the strict requirements of modern production process on material quantitative and qualitative control, and form a dust suction negative pressure in the elevator and the hopper through the bin top dust collector.During the discharging process, dust will appear, and the dust is directly sucked away from the elevator and the hopper through the top dust collector, so that the outside is not dusty, and the hygiene degree of the process 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.

The utility model relates to a liquid injection device, which relates to the technical field of battery manufacturing, and comprises a liquid injection main body, a liquid injection device and a liquid injection device, the elastic reset piece is connected with the liquid injection needle; the sealing assembly comprises a sealing cover and a sleeve arranged outside the liquid injection main body in a sleeving mode, the sleeve is provided with a liquid outlet, and the sealing cover is in linkage with the liquid injection needle through a connecting piece; during liquid injection, the liquid injection needle drives the connecting piece and the sealing cover to move, the liquid outlet is opened, and the sealing cover and the connecting piece form a flow guide blocking structure, so that liquid flowing out of the liquid injection needle flows out all around; and after finishing, the elastic reset piece drives the liquid injection needle to reset, and the sealing cover and the liquid outlet are closed to form sealing. By optimizing the design of the liquid injection needle and the sealing assembly, the electrolyte can be accurately guided to flow to a target area, splashing and dripping are prevented, and the corrosion risk of a battery assembly is reduced; the elastic reset piece achieves the automatic reset function, the production efficiency and the automation level are improved, meanwhile, the equipment cost is reduced, and the production process is simplified.

The utility model belongs to the technical field of bath solution steering, and particularly relates to a bath solution steering device which comprises a shed body, a silane liquid medicine box and a passivation liquid medicine box are arranged at one end of the shed body, a PLC is fixedly installed on the side wall of the shed body, a silane liquid medicine recycling box and a passivation liquid medicine recycling box are arranged below the shed body, and the PLC is fixedly installed on the side wall of the shed body. The bottom end of the shed body is fixedly sleeved with a liquid outlet pipe, and the shed body comprises a steering mechanism; the bottom end of the liquid outlet pipe is fixedly sleeved with a shell, a steering groove is formed in the shell, and sealing grooves are symmetrically formed in the inner wall of the steering groove. A servo motor is fixedly mounted on one side of the shell; in the using process, through the arrangement of the steering mechanism, quick and accurate switching of the flowing direction of tank liquid can be achieved, double-component liquid medicine isolation is achieved, it is ensured that silane liquid medicine and passivation liquid medicine can accurately flow to respective recycling boxes, it is ensured that liquid mixing does not occur in the production process, and the accuracy and reliability of tank liquid recycling are improved.

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.

The invention belongs to the technical field of door and window machining, and particularly relates to a door and window driver mounting device and a working method.The door and window driver mounting device comprises a storage unit, a feeding platform, a driving unit and a driving unit, the driver mounting unit is used for grabbing the driver from the storage unit and transferring the driver to the feeding platform for mounting and fastening; the material storage unit is provided with a fixed material taking opening. The driver mounting unit comprises a clamping device and a fastening device which share an x-direction driving assembly and a Z-direction driving assembly and are independently driven in the y direction, and the driver mounting unit reciprocates between a material taking opening of the material storage unit and a workpiece mounting position of the feeding platform through the x-direction driving assembly. The clamping device grabs the driver from the material taking opening and installs the driver on the workpiece, and the fastening device executes fastening operation on the installed driver; and the control unit coordinates the action time sequence of each unit. The functions of material taking, feeding and fastening are integrated, the material storage unit and pressing are matched, and automatic driver installation starting from grabbing of a driver by a stock bin is achieved.

The invention relates to the technical field of gas control, in particular to an automatic control method for optimizing combustion of a hot blast stove based on gas prediction, which comprises the following steps of: estimating blast furnace gas generation amount, acquiring real-time operation parameters of blast furnace smelting, establishing a neural network model, outputting blast furnace gas prediction generation amount, and correcting the gas generation amount estimation. Performing blast furnace gas generation and use prediction, performing feature analysis through feature screening to obtain key influence factors, performing neural network model training, predicting the blast furnace gas by adopting LSTM (Long Short Term Memory) time sequence prediction, and outputting the generation amount or consumption amount in the future 30 minutes; the intelligent combustion of the hot blast stove comprises a gas flow measurement and calculation model, a vault temperature regulation and control model, a waste gas temperature regulation and control model and a high-calorific-value coal gas time-sharing combustion management and control model. Through precise prediction of gas generation amount, usage amount and equipment and in combination with a combustion control strategy, the energy utilization efficiency is improved, the hot air temperature is stabilized, gas consumption is reduced, and environmental pollution is reduced.