91results about How to "Balance cost" patented technology

The invention provides a cerebral hemorrhage personalized treatment scheme optimization method and system based on big data analysis, and relates to the technical field of data analysis, and the method comprises the steps: constructing a cerebral hemorrhage patient multi-source heterogeneous clinical database, extracting feature subsets, carrying out semantic alignment, carrying out time sequence modeling and fusion, and obtaining a patient panoramic feature representation; constructing a cerebral hemorrhage diagnosis and treatment knowledge graph, adding the cerebral hemorrhage diagnosis and treatment knowledge graph to a preset graph attention network, distributing weights, obtaining knowledge-enhanced patient feature representation and taking the knowledge-enhanced patient feature representation as a state, generating an action space based on an optional treatment scheme, constructing a reward function and determining a candidate treatment scheme; performing medication suitability analysis, performing semantic conflict identification in combination with the patient allergy history and complication, and performing screening to obtain a suitable candidate treatment scheme set; and for each scheme, predicting a multi-dimensional prognosis index, constructing a multi-criterion decision matrix, combining personal influence factors, adjusting the weight of each index, modeling an optimization problem and determining an optimal treatment scheme.

The invention discloses a data storage system of a digital country based on cloud computing, which comprises a client, a data transmission module and a cloud computing center, relates to the technical field of data storage, stores hot data on a high-performance hot data storage layer, ensures that frequently accessed data can be quickly responded, improves the system performance, and at the same time, stores the hot data on a high-performance hot data storage layer. The cold data is stored in a low-performance cold data storage layer, the storage cost is reduced, effective balance of performance and cost is achieved, the data is automatically migrated among different storage layers along with change of data access frequency, so that the performance and the cost are balanced, the frequently accessed data is migrated into a cache, the access speed of the data is increased, and the data access efficiency is improved. And establishing a relationship between a time interval and a data type of historical data, predicting data which are possibly accessed in a given time interval, adding the data into the cache, dynamically adjusting the cache, and ensuring the validity of the cache.

The invention relates to the technical field of network advertisements, in particular to an advertisement data management system based on market trend analysis, which comprises a data acquisition module, an analysis module, a prediction module, a conversion rate calculation module and an adjustment module. The advertisement effect is reflected by acquiring click and purchase data after advertisement putting, the change trend of user behaviors is accurately recognized through the analysis module, and the user change rate is calculated, so that data support is provided for an advertisement putting strategy, and the advertisement putting strategy is more accurate by analyzing historical data, predicting the future purchase trend and comparing with predicted data in real time. The conversion rate change of the advertisement is accurately evaluated, a basis is provided for optimizing the advertisement effect, whether the advertisement putting duration needs to be adjusted or not is judged according to the comprehensive analysis of the user change rate and the conversion rate change rate, efficient utilization of advertisement resources is ensured, the accuracy and flexibility of advertisement putting are remarkably improved, the conversion rate and the return on investment of the advertisement are facilitated, and the user experience is improved. And continuous optimization and improvement of the advertisement effect are realized.

The invention relates to the technical field of water supply scheduling, in particular to an intelligent scheduling operation method for building water supply, which comprises the following steps of: collecting water flow, water pressure, energy price and water pump operation state, calculating water supply demand and energy cost at each time point, and obtaining real-time water supply demand data; and performing time sequence analysis on the real-time water supply demand data, and extracting trend and periodic characteristics of the water supply demand. According to the method, the water flow, the water pressure, the energy price and the running state of the water pump are collected, the water supply demand and the energy cost at each time point are obtained through calculation, water supply demand prediction is optimized, meanwhile, the periodicity and trend of water supply are determined through time sequence analysis, and it is ensured that decision is based on a solid scientific basis. Besides, the operation parameters of each water pump are optimized, the energy consumption, the water supply capacity, the operation cost and the equipment abrasion degree are comprehensively evaluated, and the energy efficiency is improved and the service life of equipment is prolonged by adjusting the operation parameters.

The invention provides a large language model-based rotation position coding method, which comprises the following steps of: carrying out iterative calculation on a trigonometric function through a preset iterative calculation formula, and obtaining a current round of trigonometric function value through a previous round of trigonometric function value; and obtaining at least one input vector, and carrying out element-by-element multiplication and addition operation on the input vector and the trigonometric function value of the round to obtain a vector code of the rotation position code. The invention further provides a coding device of the rotation position coding based on the large language model, a storage medium and electronic equipment. Therefore, according to the method, the balance of calculation precision, calculation efficiency and hardware overhead is realized, and the on-chip storage requirement is remarkably reduced, so that powerful support is provided for acceleration of a large language model.

The invention relates to a model data ownership protection and verification method based on model coupling, and belongs to the field of deep neural network ownership protection. The method comprises the following steps that: 1) a model owner trains a target model and a license model in parallel; 2) the model owner uses a model coupling algorithm to merge the target model and the license model; 3) releasing a coupling model by a model owner; and 4) the model owner performs ownership verification. According to the method, an existing model copyright verification method is supplemented for the right confirmation requirement of the deep neural network, and the problem of data ownership protection is solved while the efficiency and the overhead are considered.

The embodiment of the invention provides a model evaluation method and device, a storage medium and a program product. In the model evaluation method, after a reply result output by a target model for a target question is obtained, a question type corresponding to the target question can be obtained, and a target evaluation model matched with the question type in a plurality of evaluation models is called to evaluate the reply result. In the embodiment, in the multiple evaluation models, different evaluation models correspond to different question types, and different evaluation models have different parameter quantities. Based on this, a scheme for cooperatively evaluating the reply results output by the target model for different types of questions based on the evaluation models with different parameter quantities is realized, so that the evaluation model with low parameter magnitude can be conveniently adopted to evaluate the reply results of some questions with low complexity, the resource consumption is effectively reduced, and the evaluation efficiency is improved. And an evaluation model with relatively high parameter quantity can be adopted to evaluate reply results of some questions with relatively high complexity, so that the evaluation accuracy is improved.

The invention discloses silver-coated copper powder and a preparation method thereof, conductive paste and a printing type RFID tag, and relates to the field of conductive paste. The silver-coated copper powder comprises a copper core and a silver shell layer coated on the surface of the copper core, the surface of the copper core is provided with bare copper defect sites which are not coated by the silver shell layer, and the bare copper defect sites are provided with mercaptopropionic acid self-assembly molecular layers. According to the silver-coated copper powder, mercaptopropionic acid molecules form a compact self-assembly monomolecular layer on the copper surface which is not coated with a silver shell, so that bare copper defect sites are isolated from external air and water, copper oxidation is prevented, the stability of conductive paste based on the silver-coated copper powder and a printing type RFID tag is improved, and the service life of the RFID tag is prolonged.

The invention discloses a tundish cover castable, and relates to the technical field of tundish refractory materials. The tundish cover castable is prepared from the following raw material components in percentage by mass: 7.8 to 9.6 percent of alumina of 8 to 5mm, 2.6 to 4.3 percent of alumina of 5 to 3mm, 2.6 to 4.3 percent of alumina of 1 to 0mm, 17.4 to 20.8 percent of alumina of 200 meshes, 9.6 to 13 percent of mullite of 5 to 3mm, 22.6 to 26 percent of mullite of 3 to 1mm, 9.6 to 13 percent of mullite of 1 to 0mm, 7 to 8.7 percent of mullite of 200 meshes, 2.6 to 3.5 percent of composite binding agent, 0.8 to 1.7 percent of aluminum silicate, 0.05 to 0.07 percent of SiC nanowire, 0.2 to 0.3 percent of aluminum titanate and the balance of water. The invention discloses a tundish cover castable which comprises the following components in percentage by weight: 0.4-0.7% of alumina micro powder, 0.08-0.11% of sodium tripolyphosphate, 2.6-3.5% of silica fume, 0.87% of steel fiber and 1.3-1.7% of high-alumina cement. Compared with a traditional process, the tundish cover castable has the advantages that the overall performance of the tundish cover castable is remarkably improved, the breaking strength and compression strength of the castable are effectively enhanced, the service life is remarkably prolonged, and the production cost is reduced. And the production cost is greatly saved, and the economical efficiency and the operation rate of continuous casting operation are improved.

The invention discloses a multi-node intelligent scheduling service segmentation cooperative control method and system, and relates to the technical field of the Internet. By deploying a heartbeat detection mechanism, heartbeat signals are sent and monitored regularly, and abnormal signals are identified; marking the node agent of the abnormal signal as a fault node, obtaining a resource index of the fault node, and identifying a fault type; sending a fault notification to other nodes according to the fault type, and judging whether to elect a new master control node agent or not according to the fault notification; the master control node reads the service execution information of the fault node, splits the uncompleted service into sub-services, obtains the remaining available resources of the available nodes and the resource requirements of the sub-services, and allocates the remaining available resources to the available nodes according to the resource requirements of the sub-services; the fault node is repaired, and if the repair is successful, the master control node returns the service; if the fault node cannot be successfully repaired, performing service redistribution and replacement on the fault node; and processing and load balancing of the fault node are realized.

The invention provides a programmable AES (Advanced Encryption Standard) encryption module hardware accelerator, an instruction set and an operation method.The accelerator is connected with a bus, carries out data interaction with the bus and carries out AES encryption and decryption on data, the accelerator comprises a master device and a slave device which are connected with the bus, the main equipment is used for receiving and transmitting a data carrying instruction; the slave device communicates with other modules on the bus and receives the data carrying instruction and data of the master device; the slave device is connected with the decoder through an instruction stack and transmits an instruction to the decoder; the decoder decodes the instruction transmitted from the slave device and sends the decoded instruction to the calculation module or the carrying module connected with the decoder for corresponding operation or data transmission; the instruction set is used for controlling the accelerator; the operation method is realized by adopting the accelerator.

The invention relates to the technical field of battery packs, and discloses a bottom protection structure for a battery pack and the battery pack, the bottom protection structure for the battery pack comprises a liquid cooling plate, a bottom protection plate and a buffer layer; the bottom of the liquid cooling plate comprises a non-flow channel area and a protruding flow channel area; the bottom protection plate is arranged at the bottom of the liquid cooling plate, and the bottom protection plate and the liquid cooling plate are arranged at intervals; the buffer layer is arranged between the liquid cooling plate and the bottom protection plate, and the bottom of the buffer layer abuts against the bottom protection plate; in the flow channel area, the top of the buffer layer abuts against the liquid cooling plate; according to the present invention, the impact force can be effectively absorbed and dispersed when the different regions of the battery pack are impacted so as to ensure that the battery cells in the battery pack are not extruded when the battery pack is subjected to the external force effect, such that the battery pack can be prevented from being damaged, and the battery pack is prevented from being damaged. And the protection level of the battery cells in the battery pack is improved, and the overall safety of the battery pack is ensured.

The invention provides a method and system for constructing a medium-and-long-term electricity purchasing and selling combined transaction model for a power grid enterprise, and the method comprises the steps: carrying out the modeling of the uncertain electricity purchasing cost of an electricity purchasing side for the scenes of different types of power supplies at the electricity purchasing side, and obtaining the uncertain factors of the electricity purchasing side; the method comprises the following steps: analyzing power demands of various types of users on a power selling side, and modeling the power purchase quantity and load of a power grid enterprise agent power purchase user on the power selling side and the uncertain total power consumption to obtain uncertain factors of the power selling side; according to the uncertainty factors of the electricity purchasing side and the electricity selling side, risk control index evaluation is carried out based on the conditional value-at-risk CVaR, and annual and monthly conditional value-at-risk is obtained; based on the annual condition value-at-risk, establishing a combined transaction model for determining monthly electric quantity by annual transaction considering an annual electricity purchase cost expected value and risk management and control; and based on the monthly conditional value-at-risk, establishing a combined transaction model for determining the daily electric quantity by monthly transaction in consideration of the expected value of the annual electricity purchase cost and risk management and control.

The invention provides a method for determining a sensing mode of a network unit, the network unit and equipment. The method for determining the sensing mode of the network unit comprises the following steps: acquiring a first sensing signal strength of a first network unit measured by the first network unit and a second sensing signal strength of at least one second network unit in a network; determining a sensing mode of the first network unit according to the first sensing signal strength; and under the condition that the sensing mode of the first network unit is a high sensing mode, determining whether the first network unit is a main sensing unit mode or an auxiliary sensing unit mode according to the first sensing signal strength and the second sensing signal strength of at least one second network unit. According to the scheme, the network unit can determine the sensing mode, and the sensing precision and the system overhead are balanced according to the sensing mode.

The present application relates to the technical field of in-vehicle network communication, and discloses a lightweight and secure communication method and system between ECUs in an in-vehicle network. The communication method comprises an ECU identity authentication phase: each ECU interacts with a CAN gateway, and the CAN gateway performs batch identity authentication to verify the legality of all ECUs; a data classification phase: according to the data sensitivity, the data to be transmitted is classified as confidential data or non-confidential data; a data transmission phase: if the data to be transmitted is confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to encrypt and authenticate the plaintext of the confidential data, generates ciphertext and authentication parameters, and sends a data packet containing the ciphertext and authentication parameters to the receiver ECU; if it is non-confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to only sign but not encrypt the plaintext, generates an authentication tag, and sends a data packet containing the plaintext and the authentication tag to the receiver ECU. The present application takes into account the security and computational overhead of in-vehicle ECU communication.

The invention relates to the technical field of power system power transmission network planning, in particular to an offshore wind power AC / DC hybrid power transmission network probability planning method and system considering safety correction. The method comprises the following steps: firstly, establishing a correction security constraint optimal power flow model which is suitable for an AC-DC hybrid system and takes RAS into consideration, then, constructing an uncertainty quantification model and a rapid fault screening criterion, establishing wind, load and fault scenes applied to an operation layer, and finally, establishing an offshore power transmission network planning model suitable for large-scale wind power access. A system planner is allowed to assess economic and technical feasibility of a series of potential network and non-network options while considering various uncertainties, and the need to add new lines while considering extensive uncertainties during operation of the system is reduced, providing a balanced choice among cost, flexibility and reliability for the planner.

The present application relates to the technical field of BIM building management, and discloses a construction optimization management method and management platform based on BIM for building engineering. The method comprises: digitizing the construction information of the building engineering, obtaining the construction task library and modeling to obtain the first task BIM model; performing multi-dimensional analysis and parameter optimization to obtain the second task BIM model; performing association mapping to obtain the target mapping relationship and create a data exchange interface; performing spatiotemporal association and construction simulation on the second task BIM model and the current task plan according to the target mapping relationship, obtaining the dynamic construction progress simulation result and the site layout optimization plan; performing multi-objective optimization on the current task plan according to the dynamic construction progress simulation result and the site layout optimization plan, obtaining the target task plan, and updating the target task plan to the second task BIM model through the data exchange interface. The present application improves the construction efficiency and quality of the building engineering.

The invention discloses a magnetic confinement hybrid superconductive DC current limiter, which comprises a current limiting unit and a quench protection unit, and is characterized in that the current limiting unit comprises a resistor R and a superconductive coupling coil L2, and the resistor R and the superconductive coupling coil L2 are connected in parallel; the quench protection unit comprises a superconducting coupling coil L1 and a capacitor discharge module, and the superconducting coupling coil L1 and the capacitor discharge module are connected in series to form a series loop; the superconducting coupling coil L2 of the current limiting unit is coupled with the superconducting coupling coil L1 of the quench protection unit. The short-circuit current peak value can be effectively suppressed, the breaking current of the direct-current circuit breaker is reduced, and the reliability of system fault removal is improved.

The invention relates to the technical field of social network analysis, and discloses an anti-social network user identity association method based on a greedy strategy. In order to effectively model and solve an anti-social network user identity association problem and balance cost and income, an account injection scheme based on a greedy strategy is provided, and an attack problem on a user identity association model is modeled as a problem of maximizing a determined error pairing number. The similarity score of the pairs is certainly greater than the similarity score between the existing account pairs, so that the attack problem associated with the user identity of the social network can be solved; on the basis of a greedy strategy, a vulnerability evaluation method based on an account network role is adopted to identify vulnerability, and progressive attacks from easiness to difficulty are realized; meanwhile, an injection strategy searching method based on a greedy strategy is designed and used for determining which existing accounts should initiate friend connection between the injection account and the existing accounts, and therefore efficient attacks are achieved at low cost.

The present invention belongs to the technical field of energy management, and discloses a building energy management system based on intelligent gateway edge computing; the method comprises: collecting energy usage data and environmental data inside a building; transmitting the collected energy usage data and environmental data to an edge computing node through an intelligent gateway; in the edge computing node, preprocessing the collected energy usage data and environmental data to obtain preprocessed data; based on the preprocessed data, constructing an energy usage pattern diagram, optimizing the structure of the energy usage pattern diagram, and identifying key nodes and key associations; according to the identified key nodes and key associations, formulating an energy optimization strategy using an optimization algorithm, sending the energy optimization strategy to the intelligent gateway, and controlling the energy usage equipment inside the building through the intelligent gateway, so as to realize efficient utilization of energy, improve the intelligence and automation level of building energy management, and reduce management difficulty and labor cost.

The invention provides a braking special specification design and system based on a user braking behavior, and the method comprises the steps: extracting a plurality of parts of user data hierarchically according to a market sales proportion, each part of user data comprising a braking initial speed, a braking end speed and braking time; according to the initial braking speed, the final braking speed and the braking time, the braking deceleration corresponding to each piece of user data is obtained, and the corresponding braking grade is obtained according to the braking deceleration; performing statistics on the user data according to the braking grade, so as to obtain an anti-fatigue design target of the braking system according to a statistical result; and according to the anti-fatigue design target of the braking system, performing a braking test on a target vehicle, and detecting a test result. According to the application, the problem of insufficient design or over-design caused by deviation between domestic user use requirements and anti-fatigue design of a traditional brake system can be solved.

This application provides a method for recommending travel routes, an in-vehicle system, and a storage medium, relating to the field of in-vehicle tourism service technology. The method can obtain the route length, travel time, required travel cost, and average experience score of all attractions for each travel route. Then, for each travel route, it determines a first sub-rating corresponding to the route length, a second sub-rating corresponding to the travel time, a third sub-rating corresponding to the travel cost, and a fourth sub-rating corresponding to the average experience score. A weighted average of the first, second, third, and fourth sub-ratings for each travel route is taken to obtain a recommended rating for each travel route. Based on the top N% of travel routes ranked by their recommended ratings, recommended routes are output, which can balance short route length, short travel time, low travel cost, and high average experience score, achieving a balance between the user's itinerary, travel time, cost, and overall experience.

The invention provides a large language model version iteration method and device based on learning rate path switching. The method comprises the steps of obtaining a large language model of a current version; according to the new data set and the check point of the learning rate main path corresponding to the large language model of the current version, the large language model of the current version is continuously pre-trained to obtain an iterated large language model of the next version, the learning rate path is switched from the main path to the branch path during continuous pre-training, and the learning rate path is switched from the main path to the branch path during continuous pre-training. Continuously pre-training the large language model of the current version by adopting a fast attenuation learning rate; according to the new data set and the main path check point corresponding to the large language model of the current version, continuing to pre-train the large language model of the current version on the main path at a preset maximum learning rate so as to obtain a check point corresponding to the large language model of the next version after iteration; therefore, the total pre-training cost of the version iteration is reduced while the high performance of the version iteration of the large language model is maintained.

The technical solution of the present application discloses a multi-granularity memory detection method, a memory device, and an electronic device. The technical solution of the present application can detect the memory module in the Soc chip when the Soc chip is running. The memory module is divided into multiple memory sub-modules, and the memory sub-module includes multiple memory units; the memory detection method includes: when there is a new memory detection task, judging whether the memory detection condition is met; if so, obtaining the memory detection strategy and the corresponding configured granularity parameters; based on the memory detection strategy and the granularity parameters, sampling detection is performed on the memory units in the memory sub-module. The technical solution of the present application can improve the detection flexibility and balance the system overhead by separating the memory module to form multiple memory sub-modules, and sampling detection is performed on the memory units in the memory sub-module based on the memory detection strategy and the granularity parameters.

The invention relates to the technical field of automobile charging piles, and discloses a charging pile group fault detection method, system and device, a medium and a product, and the method comprises the steps: obtaining the charging behavior data of a target charging pile group and a preset normal charging behavior habit model, and judging whether the target charging pile group is abnormal in charging or not; after it is judged that charging abnormity exists in the target charging pile group, responding to the random number disturbance request for each charging pile connected with the electric vehicle in the target charging pile group, generating a plurality of random numbers through the random number disturbance request, and adjusting charging output parameters of the charging piles according to the random numbers; and the charging state data, corresponding to the charging output parameters adjusted each time, of the electric vehicle in the charging stage are obtained, the fault condition of each charging pile is determined according to the charging output parameters adjusted each time and the charging state data, and therefore the fault detection cost and efficiency can be balanced while the fault detection timeliness can be guaranteed.

The 10kV high-voltage multi-unit isolation auxiliary power supply comprises a first-stage circuit, a second-stage circuit, a third-stage circuit and a fourth-stage circuit, wherein the first-stage circuit, the second-stage circuit and the fourth-stage circuit are respectively composed of an NCP1396 control circuit, a current sampling circuit, a half-bridge LLC input side main circuit and a magnet ring transformer output rectification filter circuit; the half-bridge LLC input side main circuit is composed of a DC power supply DC1, an upper MOS tube Q3, a lower MOS tube Q4, a resonant capacitor C1, a resonant inductor L4 and a magnet ring transformer TR3. The current sampling circuit is composed of a current detection resistor R1 and an RC filter circuit. The NCP1396 control circuit is used for providing complementary and isolated driving control signals for grid electrodes of the upper MOS tube and the lower MOS tube, the input side of the magnetic ring transformer is connected with a turn of high-voltage 10kV insulated wire in series to serve as a primary winding, power supply of a high-voltage unit power source is met, meanwhile, the requirement for ultrahigh-voltage isolation is met, the requirements for voltage-withstanding insulation and power supply between units are met, and the service life of the high-voltage unit power source is prolonged. And the volume and the cost are well balanced.

The embodiment of the invention discloses a silicon-based negative electrode material and a preparation method thereof, a negative electrode plate and a battery, and belongs to the technical field of batteries, the silicon-based negative electrode material is obtained by sintering a precursor, and the precursor comprises a silicon source, a lithium source and a fluxing agent; wherein the fluxing agent comprises lithium fluoride, and the fluxing agent accounts for 1%-8% of the total mass of the silicon source and the fluxing agent. According to the silicon-based negative electrode material provided by the invention, the volume expansion effect can be reduced, meanwhile, the integrity of an SEI film can be ensured, the loss of active lithium is reduced, and the effective energy density of a negative electrode plate and the cycling stability of the silicon-based negative electrode material are improved.

The utility model provides a kind of multi-channel high-speed storage backplane, including high-speed interface module, hard disk interface module, power supply module, management and control module and protection and maintenance module;The high-speed interface module is connected with mainboard by PCIe protocol;The hard disk interface module is connected with the high-speed interface module, for connecting and managing NVMe hard disk and SATA / SAS hard disk;The power supply module is for providing redundant power input for each module;The management and control module is connected with the hard disk interface module, for realizing the state monitoring and communication control to hard disk;The protection and maintenance module is connected with the power supply module and hard disk interface module, for realizing the circuit protection and hot plug function support to power supply and hard disk interface.The utility model has realized high-speed, stable and scalable data storage capacity, significantly improve the performance, reliability and operation efficiency under large-scale storage scene.

The utility model provides a large-specification stainless steel pipe fitting outer circle machining tool which comprises a lead screw, a fixed end cover and a locking nut. Central holes are formed in two ends of the screw rod body; the length of the lead screw body is larger than the axial length of the workpiece, and the two ends of the lead screw body extend out of the two ends of the workpiece. The two ends of the workpiece are concentrically positioned and adaptively provided with the fixed end covers, end cover center holes formed in the fixed end covers and the lead screw are concentrically positioned and adaptively installed, the end cover center holes transfer the center of the workpiece to the centers of the fixed end covers, and the outer threads at the two ends of the lead screw are screwed and adaptively provided with the locking nuts which clamp the fixed end covers of the workpiece. Therefore, the workpiece and the lead screw are concentrically locked, fastened and connected into a whole. According to the utility model, the technical problem that a large-specification stainless steel pipe fitting workpiece cannot be clamped and machined on an ME1332A cylindrical grinding machine at high precision is solved, the machining precision grade can reach IT5 and IT7, the surface roughness is less than 0.2 mu m, and high-precision, high-efficiency and low-cost machining of the outer circle of the large-specification stainless steel pipe fitting workpiece is realized.

The invention discloses vacuum coating equipment, a conductive film preparation method, a conductive film and a pole piece, the vacuum coating equipment comprises an equipment body, an evaporation component and a magnetron sputtering component, a vacuum cabin is arranged in the equipment body, and the vacuum cabin comprises a first cabin and a second cabin which are arranged in a separated mode; a membrane penetrating gap is formed in the side wall between the first cabin and the second cabin and is communicated with the first cabin and the second cabin; the evaporation component is mounted in the first cabin and is at least used for plating metal main body layers on the two opposite surfaces of the conductive film; and the magnetron sputtering assembly is mounted in the second cabin and is used for plating an isolating layer on the surface of the metal main body layer on one surface of the conductive film. The invention solves the problems of low plating efficiency and influence on the film forming quality of a copper film on a conductive film when the conductive film with an anti-sticking function is plated by adopting the existing film plating equipment.