13results about How to "Realization cost" patented technology

This invention discloses a method for optimizing the cost management of flue gas pollution control, comprising: Step 1: generating a set of operating units for control equipment; Step 2: generating a sequence of combined energy consumption paths; Step 3: inputting the combined energy consumption path sequence into an improved Koopa model; Step 4: generating initial path features through a path embedding module and generating steady-state evolution features through a steady-state evolution coding module; Step 5: generating rearranged path features through a disturbance track rearrangement module using a smoke load tidal migration mechanism and generating a path cost evolution sequence through a cost trend output module; Step 6: performing weighted splitting of path affiliation to generate single-path control cost units; Step 7: performing emission contribution mapping to generate a path contribution sequence and using the MCTS algorithm for tree search to generate a control path adjustment set; Step 8: outputting the cost optimization results. This invention combines the improved Koopa model and the MCTS algorithm to achieve dynamic optimization of flue gas control paths.

The low-profile vehicle-mounted antenna comprises a PCB monopole antenna, the PCB monopole antenna comprises a board body, antenna radiation patterns are arranged on the front face and the back face of the board body respectively, the board body directly feeds through a cable, and a printing grounding structure is arranged on the board body, forms electromagnetic coupling with the cable and is used for expanding the bandwidth of the antenna. According to the low-profile vehicle-mounted antenna, the antenna radiation patterns are arranged on the two sides of the plate body respectively, so that a low-profile flat structure is achieved, and the height of the antenna is reduced. And meanwhile, by reasonably utilizing the coupling effect of the cable and the printed grounding structure on the radiation patch, the bandwidth of the antenna is expanded, and the full-band stable performance is realized. And direct feeding is realized through the cable without an additional and complex feed network, so that the effects of simplifying the structure and reducing the cost are achieved.

The present application belongs to the technical field of metal cutting machining control, and particularly relates to a chip removal control method and system for a machining center, which method comprises: collecting real-time vibration signals of the machining center and preprocessing to obtain pure vibration signals; performing periodic stationarity analysis on the pure vibration signals to obtain periodic stationarity purity of each frequency band signal and determine an optimal characteristic frequency band; extracting features capable of representing chip accumulation evolution trend based on the optimal characteristic frequency band and performing real-time grading on the chip accumulation state; and executing a matching active avoidance or graded response control strategy according to the chip accumulation state grade. The present application can accurately distinguish random chip accumulation impact from normal machining load fluctuation, significantly improve the robustness and sensitivity of monitoring, and realize intelligent control upgrade from passive response to active avoidance.

The application discloses a control method and system for realizing optimal slitting of a steel coil, the method is only for a production line with slitting capability, and the method comprises the following steps: determining an actual weight of raw material used for manufacturing a large coil; configuring a standard material yield according to historical data; calculating a single-coil weight range of small coils at an outlet of the production line based on unit capacity of different types of production lines; calculating an optimal slitting number range F according to a formula; wherein, roundup() is a rounding-up function, A is the actual weight of the raw material, C is the standard material yield, [G min , G max ] is the single-coil weight range, G min is a minimum value of the single-coil weight at the outlet of the production line, G max is a maximum value of the single-coil weight at the outlet of the production line, and 0 represents no decimal point; and the large coil is controlled to be divided into a plurality of small coils based on the optimal slitting number range in the production line with the slitting capability.

The present application relates to a low-cost iron-nickel-based heat-resistant alloy and a high-speed rolling method thereof, and belongs to the technical field of special alloy manufacturing. The present application solves the technical problems of cracking, short tool life, high energy consumption and low efficiency in subsequent solid solution treatment caused by uneven material temperature rise and cooling during high-speed rolling of the existing heat-resistant alloy. In the method of the present application, the heated heat-resistant alloy rolling stock is sequentially passed through the rough rolling, intermediate rolling and finishing rolling units. At least two cooling devices are arranged at the key positions in the later stage of the finishing rolling unit. The polyacrylamide aqueous solution containing specific particle size and proportion of aluminum oxide powder is used for intermittent jet cooling of the wire. The finished wire is directly put into the solid solution furnace for online solid solution treatment and water cooling. The present application realizes the integrated production of heat-resistant alloy wire from rolling to heat treatment with high efficiency, high quality and low energy consumption. The prepared wire has uniform structure and excellent performance, and is especially suitable for manufacturing engine valves.

The invention relates to a multiphase composite flame-retardant waterproof coiled material and a preparation method thereof. The flame-retardant waterproof coiled material comprises an upper waterproof layer, a flame-retardant middle layer and a lower waterproof layer which are sequentially laminated and compounded from top to bottom, the upper waterproof layer and the lower waterproof layer are thermoplastic polymer layers; the flame-retardant middle layer comprises a base material layer, at least one first patterned flame-retardant layer combined on the upper surface of the base material layer and / or at least one second patterned flame-retardant layer combined on the lower surface of the base material layer, and a thermoplastic protective adhesive layer covering the surfaces of the patterned flame-retardant layers and the surface of the base material layer; the horizontal shape of the patterned flame-retardant layer is a two-dimensional area shape and corresponds to the plane outline of at least one fire risk area preset on the target laying surface.

The application relates to a steel production cost calculation and sales order decision method and system, wherein the method comprises the following steps: synchronously collecting various data of a steel enterprise to form a multi-source data set; converting the multi-source data set into decision rules for steel production, constructing an optimal process path of steel production and constraint conditions of each process of the optimal process path of steel production based on the decision rules; simultaneously realizing the collaborative optimization of the whole-process cost of steel production and the cost of each process based on the multi-source data set, the optimal process path and the constraint conditions of each process to obtain a cost calculation result of steel production; and outputting a steel production suggestion and a cost report based on the cost calculation result of steel production to provide guidance for sales order. The application can provide effective steel cost calculation and guidance for sales order.

This invention discloses a cross-platform intelligent task processing system and method based on a cloud-local hybrid architecture, belonging to the fields of artificial intelligence and automation technology. It includes: user terminals receiving natural language instructions through a unified message gateway and sending them to a task processing hub; the hub dynamically selecting a local or cloud model for semantic understanding and task decomposition according to a strategy, generating atomic operation descriptions; distributing tasks to heterogeneous target terminals based on device capability maps; each terminal converting the atomic operation descriptions into local system calls through a cross-platform atomic operation adapter library and executing them securely, with risky operations executed in a sandbox; communication employing multiple encryption methods; the hub integrating a billing module for cost estimation, real-time billing, and budget control; and the hub feeding back execution results to the original message channel through a unified message gateway. This invention ensures data security through intelligent planning and privacy separation, decouples the core architecture from the deployment form, and supports multiple deployment forms and cross-platform collaboration.

The application discloses a beverage high-temperature sterilization and cooling system, and relates to the technical field of product sterilization. The beverage high-temperature sterilization and cooling system comprises a liquid beverage conveying line and a bottled beverage conveying line, the liquid beverage conveying line and the bottled beverage conveying line are connected through a liquid bottling assembly, a pre-warming heat exchanger and a high-temperature heat exchanger are sequentially arranged on the liquid beverage conveying line along a liquid flow direction, a plurality of cooling assemblies are arranged on the bottled beverage conveying line, the plurality of cooling assemblies are connected with the pre-warming heat exchanger through circulating pipes, and the pre-warming heat exchanger, the high-temperature heat exchanger and the plurality of cooling assemblies are all signal-connected with a controller. The beverage high-temperature sterilization and cooling system solves the technical problem that the existing beverage sterilization has high energy consumption and cannot be effectively utilized, and achieves the technical effect of reducing production cost and energy consumption.

This application discloses a heat dissipation module, electronic device, and heat dissipation method, applied to electronic devices. The heat dissipation module includes: a fan with an impeller and a fan housing surrounding the impeller for generating cooling airflow; a heat dissipation fin assembly disposed in the path of the cooling airflow for heat exchange with the cooling airflow; a duct with an inlet, an outlet, and a flow channel connecting the inlet and the outlet; the inlet is connected to a wind zone on the fan housing for diverting a portion of the cooling airflow into the duct; the flow channel includes a nozzle structure with a narrowing section, the narrowest part of which is a throat for accelerating the flowing guiding airflow; at least one air intake is provided on the duct corresponding to the throat or narrowing section; when the accelerated guiding airflow flows through the throat, a negative pressure is generated at the air intake using the Venturi effect to draw in secondary airflow from outside the duct, thereby cooling the heat-generating area of ​​the electronic device.

The invention provides a high-temperature-resistant continuous fiber reinforced non-metal composite pipe and a preparation method thereof. The non-metal composite pipe has the advantages of high temperature resistance, high pressure resistance and high medium adaptability. The high-temperature-resistant continuous fiber reinforced nonmetal composite pipe sequentially comprises a lining layer, a middle layer and an outer layer from inside to outside, and a pipe of the lining layer (1) is made of polyphenylene sulfide or modified polyphenylene sulfide; the pipe of the middle layer is made of a continuous carbon fiber reinforced thermosetting resin composite material; and the pipe of the outer layer is made of a continuous glass fiber reinforced thermosetting resin composite material. According to the high-temperature-resistant continuous fiber reinforced nonmetal composite pipe, the long-term service temperature exceeds 130 DEG C, the blank of lack of high-performance nonmetal composite pipes capable of resisting the temperature of 93 DEG C or above in China is filled, and development and progress of high-performance nonmetal pipes for oil and gas fields are promoted.

The utility model relates to the technical field of sensor copper sleeve locking installation, and discloses a sensor copper sleeve locking tool which comprises a base, an assembling seat is arranged on the base, a placing opening used for placing a copper sleeve is formed in the assembling seat, and a check block is arranged on one side of the placing opening; the side plate is horizontally arranged on the side edge of the base, a positioning seat is arranged on the side plate, and a sliding sleeve is installed on the positioning seat; the linkage seat is arranged on the side plate, a pressing handle is connected to the front end of the linkage seat, a pressing rod is connected to the tail end of the linkage seat, and a pressing rod tailstock is fixed to the tail end of the pressing rod; a push rod is connected to the pressing rod tailstock, a push rod base is arranged on the side plate, and the push rod slides along the push rod base. The complex part matching and adjusting process of a traditional tool is simplified, and the operation difficulty and the time cost are reduced. In the tool operation process, the positions of the assemblies do not need to be adjusted frequently, errors in the assembly process are reduced, the assembly time is effectively shortened, and the cost is reduced.

This application provides a method and apparatus for correcting remote sensing images based on statistical camera distortion using big data. Its purpose is to eliminate reliance on ground calibration fields and, through control point matching and model fitting, utilize an image distortion correction model to correct the remote sensing image to be corrected, ensuring the accuracy of the remote sensing image's location. The method for correcting remote sensing images based on statistical camera distortion using big data includes: acquiring historical remote sensing images and existing digital orthophoto products of the target area, and the remote sensing image to be corrected; matching feature points between the historical remote sensing images and the digital orthophotos to obtain control points; calculating the image-square residuals of the control points using affine transformation formulas; identifying points with image-square residuals less than a preset threshold as sample points; establishing an image distortion correction model using the image-square residuals and image-square coordinates of the sample points; inputting the image-square coordinates of the remote sensing image to be corrected into the image distortion correction model to obtain the corresponding image-square correction value; and generating the target remote sensing image based on the image-square correction value.