57results about How to "Reduce configuration requirements" patented technology

The invention relates to the technical field of chemical process fault diagnosis, in particular to a chemical process fault diagnosis method based on multi-scale spatial-temporal feature fusion, which comprises the following steps: regularly acquiring fault data in a chemical production process, preprocessing the fault data and inputting the preprocessed fault data into an MTS-F model; the MTS-F network comprises a time sequence feature extraction module and a spatial feature extraction module which are parallel, and the time sequence feature extraction module comprises a long short-term memory network, a channel attention mechanism module, a one-dimensional convolution layer and a global maximum pooling layer which are connected in sequence; the spatial feature extraction module comprises a GS-CNN module, a maximum pooling layer, two groups of spatial separable convolution layers and maximum pooling layers, and a global maximum pooling layer which are connected in sequence; and after the outputs of the two parallel networks are spliced, a prediction result of fault classification is output through a discarding layer and a full connection layer. According to the method, the time sequence and space features are extracted simultaneously in a parallel mode, the fault diagnosis capability is improved, the model parameter quantity and the calculation quantity are reduced, and good generalization performance is achieved.

The invention discloses a pit defect detection method, system and equipment, a storage medium and a product. The detection method comprises the following steps: obtaining an upper tolerance grayscale image and a lower tolerance grayscale image according to a grayscale image of a normal electrolytic cell metal plate; screening out a first pixel point from the grayscale image of the electrolytic cell metal plate to be detected, wherein the pixel value of the first pixel point is greater than the grayscale value of the corresponding pixel point in the upper tolerance grayscale image; screening out a second pixel point from the grayscale image of the electrolytic cell metal plate to be detected, wherein the pixel value of the second pixel point is smaller than the grayscale value of the corresponding pixel point in the lower tolerance grayscale image; combining all the first pixel points and all the second pixel points according to the pixel point coordinates to obtain an abnormal pixel point set; and judging whether the to-be-detected electrolytic cell metal plate has a pit defect according to the abnormal pixel point set. According to the invention, the number of images is greatly reduced, the detection efficiency and the detection precision are improved, and the hardware configuration requirement is reduced.

The invention provides a message queue processing method and device, electronic equipment and a storage medium, and the method comprises the steps: creating at least one message table in a database, each message table corresponding to a target queue, and the message table being used for storing description information of messages; the message table comprises at least one data chain table, the data chain table is used for storing message content, and each data chain table corresponds to one sub-queue of the target queue; obtaining at least one target message produced by a producer and description information carried by each target message, wherein the description information of the target message comprises a user identifier of the target message; and distributing the target messages with the same user identifier to the same message table according to the user identifier of each target message. In this way, the real-time performance of service processing of other users cannot be affected through the two-dimensional queue mode. Besides, compared with a middleware mode, the mode of creating the message table in the database can reduce less hardware and maintenance cost.

The invention discloses a lane remote management system. The lane remote management system comprises a remote seat end and at least one lane equipment end, wherein a streaming media channel and a visual intercom channel are established between the remote seat end and the at least one lane equipment end; wherein the remote seat end determines a target lane equipment end through a streaming media list, and the target lane equipment end visually maps a service data stream to a streaming media window of the remote seat end through a streaming media channel; the remote seat end maps the collected remote video data and remote audio data to the target lane equipment end based on the visual intercom channel, and the target lane equipment end maps the collected lane video data and lane audio data to the remote seat end based on the visual intercom channel. By means of the system, efficient and reliable lane remote management can be achieved, communication between the remote seat end and the lane equipment end is more visual and convenient, and the efficiency and quality of lane management can be improved.

The invention provides an image processing method and device, and a storage medium. The method comprises the steps of obtaining a standard dynamic range (SDR) image; and inputting the SDR image into a color mapping model, performing color mapping and color gamut mapping on each pixel point in the SDR image by the color mapping model according to a color and color gamut mapping relation between the SDR image and a high dynamic range imaging HDR image to obtain color information and color gamut information of the HDR image, and generating the HDR image based on the color information and the color gamut information of the HDR image. The SDR image is converted into the HDR image, original data does not need to be collected according to the collection requirement of the HDR image, the requirement for hardware configuration of the electronic equipment is lowered, and the cost can be effectively saved. Meanwhile, the method for converting the SDR image into the HDR image based on the color mapping model obtained through training of a large amount of training data reduces the dependence on manual processing, and can save the labor cost while improving the efficiency.

The invention discloses a vehicle weighing method and device, computer equipment and a storage medium, and relates to the technical field of vehicle loading, and the method comprises the steps: responding to a weighing instruction corresponding to a target object, and obtaining the current front axle load and the current vehicle body inclination angle of a vehicle based on the weighing instruction; and determining the current load of the vehicle based on the current front axle load and the current vehicle body inclination angle. By means of the method, the vehicle has the electronic scale function, manpower consumption can be reduced, the conveying efficiency can be improved, and the production efficiency is further improved. And meanwhile, additional sensors do not need to be added on the vehicle, cost increase is avoided, the requirement for vehicle configuration is not high, and the adaptive vehicle types are very wide.

The invention discloses a fire smoke early recognition system and method based on deep learning, and relates to the technical field of fire smoke early recognition, and the method comprises the steps: obtaining image or video data in real time through a front-end data collection module, and transmitting the image or video data to a rear-end processing unit; the method comprises the following steps: marking various fire smoke samples through a deep learning training model module, training a deep learning model, learning basic morphological characteristics of smoke, and constructing a fire smoke detection model; the real-time smoke recognition module integrates a fire smoke detection model, analyzes image or video data acquired in real time, quickly recognizes early fire smoke, and gives an alarm through the alarm feedback module to guide related personnel to take actions. Therefore, by adopting the fire smoke early recognition method based on deep learning, the fire smoke can be monitored in real time, the recognition accuracy of the model is improved, the adaptability of the model to different environmental conditions is enhanced, and the recognition of the fire smoke under a complex background is met.

The application belongs to the field of material and electronic device mechanical test, and particularly relates to a dynamic mechanical response test device and method of a circuit board under impact. The device comprises a free Hopkinson bar impact unit, which comprises an incident bar, one end of the incident bar being a striking end and the other end being a non-striking end; a mounting base, the mounting base being fixed to the non-striking end of the incident bar, and a circuit board to be tested being detachably fixed on the mounting base; a strain measurement unit, the strain measurement unit comprising three groups of strain gauges; a laser Doppler velocimeter, the measuring point of the laser Doppler velocimeter being switchably arranged on the surface center region of the mounting base or the surface of the circuit board to be tested; and a data processing unit, the data processing unit being electrically connected with the strain measurement unit and the laser Doppler velocimeter respectively, and being used for receiving strain signals and dynamic response signals.

The present application provides a method, device, electronic device and storage medium for automatically adjusting network resource configuration based on a probabilistic grammar model, the method comprising: first, using network connection data to train a probabilistic grammar model corresponding to each service state, these models are constructed based on a probabilistic knowledge graph. Then, the working status data of the target node in the target time period is obtained, and these data are input into the probabilistic grammar model to obtain the first graph data. The target graph data with the highest similarity to the first graph data is selected from the pre-trained second graph data, and the working status is determined based on the target graph data. Finally, the node state of the target node is predicted based on the working status, and the target node is adjusted according to the prediction result. The present application can improve configuration efficiency.

The invention discloses a magnet dispensing detection method, and relates to the technical field of dispensing detection, and the method comprises the following steps: S10, a dispensing machine is used for carrying out the dispensing of a magnet, photographing the magnet, and uploading an image to a corresponding server; s20, the server interaction module is used for acquiring an image transmitted by the dispensing machine and transmitting the image to the client interaction module, and the client interaction module is used for inputting the image transmitted by the server into a neural network learning model trained in Halcon so as to detect the image and output a detection result category of NG or OK, NG is an unqualified glue type, and OK is a qualified glue type; and S30, the client interaction module obtains the detection result category and transmits the detection result category back to the server interaction module, and the server is provided with a display interface which can display the detection result category transmitted to the server. Maintenance during fault detection is facilitated, and cost is saved.

The invention discloses an encryption and decryption rapid processing system and method, a storage medium and electronic equipment. The system comprises a data management module used for acquiring to-be-processed data of an upper computer, processing the to-be-processed data, and determining a control signal corresponding to the to-be-processed data and a plurality of to-be-processed sub-data; the plurality of security logic calculation modules are connected with the data management module and are used for segmenting the received to-be-processed sub-data to obtain a plurality of processing items and carrying out parallel processing on the plurality of processing items according to the control signal to obtain a plurality of processing results; the multiple processing results corresponding to the to-be-processed sub-data are combined, a target processing result corresponding to the to-be-processed data is obtained, and the target processing result comprises an encryption processing result or a decryption processing result. By adopting the system, the technical problem that the encryption and decryption processing circuit is high in cost due to the fact that the encryption and decryption processing circuit meets the high-performance requirement in the related technology is solved.

The present invention discloses a multiple fluorescent staining liquid and a preparation method and a use method thereof, wherein the multiple fluorescent staining liquid is an aqueous solution, comprising the following components: multiple salts, acetic acid, multiple binding proteins, preservatives, solubilizers, membrane disruptors, and multiple fluorescent stains. The present invention chelates fungal detection objects and detection objects of other microorganisms other than fungi together, and only requires one application, one staining, and one color observation to obtain the detection result. The effect after staining is clearer, and the staining boundary of the target object is sharper, which is very beneficial for the identification of small targets, especially bacteria and fungi in microorganisms are relatively small in shape, with clear boundaries and sharp fluorescent staining effects, which is conducive to the identification of such targets.

The utility model discloses a kind of continuously pressurized stable liquid supply systems, comprising: chemical distribution module is connected with external nitrogen pipeline, the output of the chemical distribution module is communicated with control box, the output of the control box is communicated with valve group box, the output of the valve group box is communicated with process machine platform;The chemical distribution module includes pressure sensor and PLC module, the pressure sensor is located at the output of chemical distribution module;The pressure sensor is electrically connected with PLC module.Beneficial effect: improve liquid supply precision, by real-time monitoring the pressure of chemical distribution module chemical distribution module outlet, and according to pressure change automatic control start-stop of liquid supply pump, effectively keep system pressure stable in set range, to realize the accurate supply of chemical, meet the high-precision requirement of chemical consumption control in production process.

The invention discloses a low energy storage capacity configuration method based on an intelligent load, and belongs to the technical field of energy storage configuration. The low energy storage capacity configuration method based on the intelligent load comprises the following steps: acquiring power supply side information and load side information of the intelligent load from a storage unit; optimizing the configuration of the energy storage capacity according to the power supply side information and the load side information; comparing and verifying the results of the configuration; the power supply side information comprises related information of traditional power generation and renewable energy power generation and a predicted power generation curve; wherein the relevant information of renewable energy power generation comprises information such as installed capacity and voltage class; according to the low energy storage capacity configuration method based on the intelligent load, the intelligent load formed by connecting the voltage source inverter and the non-critical load in series is adopted, electricity consumption can be automatically matched with the generating capacity, the power fluctuation range allowed by the non-critical load is fully utilized, and therefore the energy storage capacity needing to be configured by the system is reduced.

The invention relates to an efficient query method integrating entity analysis and KNN query. The efficient query method comprises the following steps of S1, data set preparation and data fragmentation; s2, creating a region tree index; s3, performing entity analysis based on the region tree index; and S4, performing KNN query based on the region tree index. According to the method, the extended data set is decomposed into a plurality of small subsets, and entity analysis is performed on each small subset by applying the region tree index, so that the configuration requirement on physical equipment is correspondingly reduced, and the analysis process is quick and effective. The query results of the KNN query processing algorithm used in the method are different clusters or representatives thereof, so that efficient and accurate KNN query can be realized, the problem of result deviation caused by repeated data in traditional KNN query is avoided, and the method can be applied to complex query scenes in a big data environment.

The present invention relates to a detection method of a three-dimensional touch module, which is applied to the three-dimensional touch module, and includes the following steps: step S1, providing an input signal to the emitting electrode layer; step S2, the two-dimensional input assembly outputs a first output signal and transmits it to the control module; the pressure sensing assembly outputs a second output signal and transmits it to the control module; step S3, the control module confirms the touch position according to the first output signal; the control module confirms the pressure value according to the second output signal. The present invention also provides a three-dimensional touch module, which includes a control module and a three-dimensional touch assembly electrically connected thereto; the three-dimensional touch assembly includes: a cover plate; a two-dimensional input assembly, arranged below the cover plate, for outputting a first output signal; a pressure sensing assembly, arranged below the cover plate, for outputting a second output signal; and an emitting electrode layer, arranged between the two-dimensional input assembly and the pressure sensing assembly.

The application discloses a kind of vehicle illegal parking identification systems based on unmanned aerial vehicle, including management background, unmanned aerial vehicle with the management background signal connection, the unmanned aerial vehicle includes image real-time acquisition device, picture shooting device, edge processing subsystem and wireless communication subsystem;The edge processing subsystem includes first image recognition module, illegal parking judgment module, second image recognition module, output module.The present application is used to solve the problem that the existing technology is easy to reduce the timeliness of law enforcement due to response delay, and the cost of system configuration, maintenance and expansion is high, to reduce the delay of illegal parking identification system, improve the timeliness of law enforcement, and reduce the cost.

The invention discloses an integrated end side large-scale intelligent edge computing system, and relates to the technical field of edge computing, and the system comprises a centralized control center which is in communication connection with an edge end and an integrated end; node monitoring data of the position of each edge node of a road are obtained through an edge end, the node monitoring data are classified, different task nodes are constructed according to different types of node monitoring data, and the task nodes are matched with data processing functions of the edge end. Therefore, the obtained different types of node monitoring data are distributed to the corresponding edge ends according to the matching results of the data types and the data processing functions of the edge ends, so that the edge ends do not need to have the data processing functions of all the data types, data processing of the large-scale edge ends can be completed, and the data processing efficiency is improved. The configuration requirements of the edge ends are reduced, and in large-scale road monitoring, the layout cost of the edge ends can be reduced to the maximum extent, and meanwhile, the data processing capacity of each edge end is ensured.

The application discloses a kind of aluminum matrix composite powder die forging preparation methods, specifically related to metal matrix composite preparation and forming processing field.The method includes: aluminum powder, alloying element powder and ceramic reinforcing particles are made into near-spherical composite particles with particle size 0.15mm~3mm by mechanical ball milling;Composite particles are loaded into mold cavity, heated to 250℃~650℃ in protective atmosphere and applied not less than 20MPa die forging pressure, directly formed into die forging;Finally, after deburring and size finishing, the part is obtained.Ceramic reinforcing particles volume fraction is 1%~35%, and aluminum powder and alloying element powder particle size is 10μm~50μm.The application organically combines ball milling mixing and die forming, realizes powder densification and part forming one-step completion, simplifies traditional multi-process process flow, significantly improves production efficiency and material utilization, reduces production cost, and is suitable for batch manufacturing of high-performance aluminum matrix composite parts.

The invention relates to a new-generation information technology, and discloses an operation platform data processing method and system so as to promote interactivity among members and ensure stability of system operation. The method comprises the following steps: acquiring a request, searching whether a management thread corresponding to a member identity is allocated, and if so, bringing arrival information of the member into the management thread; if the management thread corresponding to the member identity cannot be found, guiding the member to create a group and distributing a management thread corresponding to the group identifier; identifying and recording the arrival time of each member by the management thread for calculating the priority; after the target commodity distribution of each member in the group corresponding to the previous priority is executed, executing the management thread corresponding to the highest priority in the to-be-scheduled management threads; and calculating the scheduling time of the next thread according to the number of members in the group of the currently executed management thread, and returning to calculate the priority sequence of the remaining to-be-scheduled management threads so as to realize the current limiting in the activity duration.

The invention provides a method for determining object classification, a related device and a computer program product, and the method comprises the steps: processing a to-be-classified object through employing a first initial classification model, and obtaining a first initial classification result and a first confidence coefficient for the first initial classification result; in response to the fact that the first confidence coefficient is larger than or equal to a first confidence coefficient threshold value, a second initial classification model is used for processing the to-be-classified object, a second initial classification result and a second confidence coefficient for the second initial classification result are obtained, and the first initial classification model and the second initial classification model are obtained through distillation based on the same target classification model; and taking the target classification as a classification result of the to-be-classified object in response to the fact that both the first initial classification result and the second initial classification result indicate the target classification and the second confidence coefficient is greater than or equal to a second confidence coefficient threshold value. Therefore, the classification models are deployed in a distributed manner, so that the deployment, configuration requirements and difficulty of the classification models are reduced, and the classification models can be deployed more conveniently and flexibly.

The invention relates to the technical field of building structure engineering, in particular to a bearing and protecting integrated steel beam and a machining method and connecting joint thereof, and the bearing and protecting integrated steel beam comprises a concrete outer cladding layer, inner pouring concrete, a beam rib structure, transverse welding ribs, beam end plates, an inner box type steel pipe and a Z-shaped connector; the transverse welding ribs are welded on the outer wall of the inner box type steel pipe; the beam rib structure is welded on the transverse welding rib; the beam end plates are arranged on the two sides of the inner box type steel pipe in pairs. The inner box type steel pipe is filled with inner pouring concrete. The outer side of the inner box type steel pipe is wrapped with a concrete outer wrapping layer; the beam rib structure is wrapped by the concrete outer wrapping layer. Through optimization design, the thickness of the concrete outer wrapping layer is reduced, and the contribution of the internal box type steel pipe to the flexural capacity of the component is remarkably improved.

The invention relates to the technical field of smart power grids, in particular to a transaction security protection method and device based on a double-layer block chain structure. The method comprises the following steps: receiving a first consensus result sent by a first target fragment chain; performing correctness verification on the block based on the identification information to obtain a first verification result of the block; performing security verification on the block based on the account transaction data and the account book data to obtain a second verification result of the block; when both the first verification result and the second verification result are correct, generating a second consensus result corresponding to the first consensus result; and sending the second consensus result to the second target fragment chain, so that the second target fragment chain executes the target transaction operation according to the second consensus result. According to the method and the device, the technical effects of correctness, integrity and security of data transaction between the fragment chains can be ensured on the basis of a double-layer block chain structure.

The invention relates to the technical field of metal processing and manufacturing, and discloses a metal melt surface tension measuring and calculating method. According to the method, the length 2a, the height h and the bottom length 2l of the metal ball are calculated by recognizing the coordinates of the end points of the molten metal ball. Firstly, end point coordinates of a metal ball are obtained through an image recognition technology; then, relevant geometric parameters of the small balls are calculated; and then, calculating the surface tension of the metal melt according to a known physical model by utilizing the geometric parameters. Compared with a traditional surface tension measuring method, the method has the advantages that complex ellipse fitting is not needed, the contact angle does not need to be solved, and therefore the calculation process is simplified. In addition, the method provided by the invention has the advantages of higher identification precision, strong anti-interference capability and shorter calculation steps, and occupies less memory space after programming is realized. The method not only improves the measurement efficiency, but also reduces the requirement on hardware equipment.

The present application discloses a method, device and non-volatile storage medium for determining a data transmission path. The method includes: obtaining node information of each data node in a data sharing platform, and determining an optimization target of a target data transmission path; determining a target data transmission path set based on the node information and the optimization target, wherein any data transmission path in the target data transmission path set does not include a central node in the data sharing platform, and there is a connection line between the node in any data transmission path and the central node; displaying the target data transmission path set to the target object, and determining the target data transmission path from the target data transmission path set based on the selection instruction of the target object. The present application solves the technical problem of excessively high requirements for central node configuration caused by the fact that the data transmission path in the related art must pass through the central node.

This invention discloses a welding machine displacement device and method for welding containers. It includes two sets of spaced-apart support components, each comprising a vertically arranged support plate with a screw fixed around its circumference. An adjusting rod is threaded onto the external thread of the screw, and the other end of the adjusting rod is rotatably connected to an abutment plate via a connecting rod, for abutting against the inner wall of the container. A locking nut is provided on the screw to secure the adjusting rod. A horizontal rack is fixed between the two support plates via a connecting plate. A displacement mechanism includes a mounting base with a rotary power mechanism and a gear meshing with the rack. The mounting base has a through hole, an internal connecting rod, and a telescopic power mechanism at the top to drive a lifting rod. The bottom end of the lifting rod is fixed to a support platform for supporting the welding machine. This device can be placed inside the container and adaptively tightens the inner wall, providing a stable working platform for the welding machine.

The invention relates to the technical field of MCU self-checking, in particular to a method and system suitable for improving the MCU self-checking coverage rate, and the method comprises the following steps: evaluating the characteristics and functions of an MCU module, setting input and output vectors, and selecting a self-checking combination module; power-on reset is carried out, the BootROM jumps to a Flash self-checking program, and the self-checking combination module is tested; configuring an X-BAY, starting an input / output and combination test, configuring a loopback mode, and starting a loopback test; configuring an analog channel selection switch circuit, and starting a combined test of the ADC, the DAC and other analog channels; and obtaining a test result through the serial port. The module is flexible and reliable in self-inspection and high in coverage rate, does not need extra hardware support, can realize single-chip self-inspection, does not influence a peripheral circuit, integrates software and hardware, provides reliability and safety, and reduces the development difficulty of a user.

The invention discloses a kit for HPV (human papillomavirus) nucleic acid detection based on a universal fluorescent nanoparticle counting method in combination with CRISPR / Cas12a recognition, and belongs to the field of nucleic acid detection.The kit comprises crRNA, Cas12a, a buffer solution 3.1, an RNA enzyme inhibitor, Target, HPV-MB and HPV-FNP. According to the kit, the Cas12a nucleic acid molecule recognition characteristic, the fluorescent nanoparticle characteristic and the base complementary pairing hybridization and magnetic separation principle are utilized, so that the nucleic acid molecule recognition characteristic of the crRNA, the fluorescent nanoparticle characteristic and the base complementary pairing hybridization and magnetic separation principle are utilized; fluorescent nanoparticle counting and CRISPR detection are combined for the first time, universal virus nucleic acid detection is achieved, operation is easy and convenient, observation is easy, and a CRISPR / Cas probe design method is widened. By taking HPV16 and 18 virus nucleic acids as examples, nucleic acid detection schematic results show that 1 pM can be detected at least. And the HPV16 virus and the HPV18 pseudovirus are selected as examples to carry out actual sample detection and verification.

The utility model discloses a 360-degree visual pile foundation pore-forming monitoring device which structurally comprises a hole detection illuminating lamp, a 360-degree camera and a pulley device frame, the hole detection illuminating lamp is connected through a measuring rope, the end of the 360-degree camera is connected through a threaded connector, the pulley device frame is arranged at a corresponding hole opening, and the 360-degree camera connected with the measuring rope is erected on a pulley. The camera is in wireless connection and communication with the mobile phone, recording is started after the camera is debugged through the mobile phone, and images installed on the hole wall or the reinforcement cage are recorded on the camera along with slow and constant-speed lowering of the camera. The method has the following advantages and beneficial effects: instruments required by the method are flexible and convenient and are convenient to carry; by means of the method, real visualization of pile foundation hole forming can be truly achieved; according to the method, instruments are convenient to mount and dismount, the labor intensity of operators is low, and safety risks are small; the method is low in operation difficulty, low in operation intensity and low in configuration requirement of operators.

This invention provides a method for eliminating DC secondary ripple in a through-type traction device based on multi-port collaboration, comprising: acquiring electrical quantities at three ports; constructing a second harmonic power component model for each port based on the electrical quantities at the three ports; constructing a secondary ripple elimination optimization model based on the second harmonic power component model, using the reactive power at the first input port, the reactive power at the second input port, and the voltage phase at the output port as optimization variables, with the objective function of minimizing the total second harmonic power on the DC side; solving the secondary ripple elimination optimization model to generate collaborative modulation control commands. This invention requires no additional hardware and can actively suppress DC-side secondary ripple simply by optimizing the control strategy. It can reduce DC bus voltage fluctuations, lower the requirements for supporting capacitor configuration, and is of great significance for improving the operational stability, power quality, and engineering application value of the new through-type traction power supply system.