314results about How to "Reduce the quantity required" patented technology

A multiple pornographic image classification method based on an image segmentation algorithm and deep learning relates to the technical field of information, especially to the technical field of image identification. The method is characterized by comprising the following four major steps: skin color identification, principal component analysis of the skin color region, deep learning, and pornographic image identification based on a convolutional neural network. First, non-pornographic images are screened out through a skin color pixel detection and skin region partitioning algorithm based on the YCbCr theory. Undetermined images are input to a LeNet5-based convolutional neural network model for identification after feature extraction. Compared with the traditional identification based on skin color and features, the method can eliminate the noise influence of non-body-part images, is not constrained by light and human postures, and can greatly improve the accuracy of traditional pornographic image classification. Compared with general deep learning based on a convolutional neural network, the method does not need massive labeled images, and the characteristics of a deep residual network determine that the model can better analyze the characteristics of pornographic images. Only through about ten hours of training, an identification effect above 90% can be achieved.

Provided is a mini-satellite test remote measurement and remote control monitoring system based on a service-oriented architecture and a method thereof. An object-oriented concept is adopted, and satellite and ground equipment is divided into a satellite object, a baseband object and a main test computer object for master control equipment. Multiple independent object units are designed simultaneously. Multiple services are established via a service management unit. Various required object units can be dynamically selected and combined by all the services, corresponding data processing units and encryption/decryption and scrambling/descrambling units can be scheduled, and remote measurement and remote control information of the services is displayed in real time by using a monitoring display unit so that remote measurement and remote control monitoring of multiple models of satellites can be realized. Test monitoring of multiple satellites, and different models of satellites, the baseband object equipment types and the main test computer types can be supported by the system and the method so that monitoring efficiency and generality can be enhanced.

The invention relates to a full-automatic stone-like brick making machine and a brick making method. The stone-like brick making machine comprises a center seat and a rotary disc, a plurality of moldpositions are uniformly distributed on the rotary disc in the circumferential direction, a vibration box body is fixedly mounted at each mold position through a rubber cushion block, a vibration motoris mounted on the bottom of each vibration box body and is hidden in the vibration box body, lifting oil cylinders are respectively mounted on two symmetrical sides of each vibration box body, and apiston rod of each lifting oil cylinder is connected with a connecting block; and a fabric distributing machine, a vibrating press, a prepressing machine, a main press unit and a demolding and brick discharging unit are sequentially arranged at each mold position correspondingly in the rotating direction of the rotary disc, and 0-2 transition positions are reserved between the vibrating press andthe prepressing machine. According to the invention, brick making processes are innovatively separated and arranged into an annular layout, the occupied area is small, the various processes can act simultaneously, the production period is shortened, the surface of a surface layer is compact, the requirement on raw materials is reduced, produced bricks can be maintained in a maintenance kiln or ina manner of standing and drying in the shade, the production period can be greatly shortened, and the energy consumption is reduced.

The invention discloses an escalator safety system which comprises a monitoring relay, a processing module, a laser emitter and a laser receiver. The output end of the monitoring relay is connected into an escalator operation loop. The processing module controls the monitoring relay to be closed and opened. The laser emitter is provided with a laser emitting opening and arranged at the high end of an escalator and the emitting opening faces the low end of the escalator or the laser emitter is arranged at the low end of the escalator and the emitting opening faces the high end of the escalator. The laser receiver receives laser from the laser emitter and is in signal connection with the processing module. The laser receiver and the laser emitter which are matched are arranged at the high end and the low end of the escalator respectively. The laser emitter and the laser receiver are arranged in a well of the escalator. According to the escalator safety system, the problem that power is consumed due to the fact that infrared detectors are arranged densely or response is not in time due to the fact that infrared detectors are arranged sparsely is solved, one induction line can monitor multiple stairs at the same time, the detectors can achieve feedback immediately once the stairs fall down, the number of required detectors is small, and power consumption is low.

An automobile card reading measurement control system relates to automobile material unmanned remote centralized weighing measurement and process management, and consists of a measuring card comprehensive management unit, a material forecasting data acquisition unit, an in-factory/ex-factory card reading confirmation unit, a scale room field equipment unit, a weighing processing unit, a sampling/unloading/loading card reading confirmation unit, a B/S inquiry unit and a server unit, wherein the scale room field equipment unit is connected with the weighing processing unit; the measuring card comprehensive management unit, the material forecasting data acquisition unit, the in-factory/ex-factory card reading confirmation unit, the weighing processing unit, the sampling/unloading/loading card reading confirmation unit and the B/S inquiry unit are respectively connected with the server in a data transmission manner. By adopting the automobile card reading measurement control system, all measuring personnel are centralized in a hall, dynamic dispatching of man power and various equipment resources can be realized, the required measuring personnel quantity is greatly reduced, and the manpower cost is lowered.

The invention relates to a worn-out power battery secondary use screening method. The whole of a battery pack is charged and discharged, through data recorded by the BMS in a test, in the discharging process, 2 to 4 SOC points with the SOC value ranging from 20% to 90% are selected, and voltage of each monomer in series is read; the batteries which are deviated from most of the batteries and overpass 5% in the voltage value are determined to be batteries of problems, and the residual batteries are initially identified as batteries in healthy states; internal resistance of each battery in the residual batteries is measured, a second screening is conducted through the inner resistance value, battery cells which deviate from normal resistance of the most battery cells by 20% are eliminated and the screening is finished; 10 batteries are randomly selected from the residual batteries to be charged and discharged, the average capacity of the 10 batteries is deemed as the capacity value of all the batteries in the healthy states. Compared with the detection method of the prior art, times of charging and discharging are greatly reduced, time needed by the new screening method is about 1/10 less than the traditional method, quantity demand for charging and discharging devices is greatly reduced, and equipment investment is reduced.

The invention discloses a high-precision pressure measuring system with variable reference pressure. The high-precision pressure measuring system is mainly used for wind tunnel experiment measurement,and belongs to the technical field of gas pressure measurement. The high-precision pressure measuring system provides reference pressure Pref which is close to measured pressure P through a referencepressure cavity, the reference pressure Pref is measured by means of a high-precision steady-state pressure meter, and a difference value dP between P and Pref is measured by using a small-measuring-range dynamic differential pressure sensor, namely, the measured pressure is decomposed into stable reference pressure and dynamic pressure with a small absolute value, and the stable reference pressure and the dynamic pressure are measured by means of appropriate sensors and then are re-synthesized. The high-precision pressure measuring system can satisfy requirements for response frequency of dynamic pressure measurement, has high measuring precision, solves the problem of low measurement precision of a high-frequency dynamic pressure sensor, and can adjust the reference pressure to adapt toa wide measuring range scope, so as to reduce the quantity demand of the sensors.

The invention belongs to the field of micro-fluidic chips, and relates to a biological macromolecule detection method. An alpha-LISA technology and a droplet-based microfluidics technology are combined and optimized to prepare a micro-fluidic chip liquid. A novel biological macromolecule detection method with a high sensitivity is provided. A three-phase mixing technology is adopted. A passive mixing structure is used to fully and evenly mix the reaction liquid. A cross focusing technology is used to form droplets. The generated droplets have the advantage of smaller volume, and thus the reactions become faster. Moreover, the requirements on the samples are lower, the reactions are specific, sensitive, fast, and full; the washing does not need to be carried out after reactions; complicated complexes such as complete proteins, enzyme complex, bacteriophage, and the like, can be detected; the technical bottleneck of conventional commercial liquid chips at present can be broken through; the provided method can be applied to fast clinical biological macromolecule detection; the detection sensitivity and specificity are both improved, and the required sample amount is reduced.

The invention discloses a high efficiency storing method for the coding digit of an LDPC coder based on an FPGA. In the method, the coding digit and external information (or channel information) share one storage block, thereby effectively reducing the requirement of the coder to the quantity of the storage resources; and the coding digit and the external information can be withdrawn when reading the storage block. Therefore, a check equation computational unit PCU and a check node update unit CNU can share one group of address information, and the PCU does not need additional address generation units; and finally, the design method of a step thinning production line is adopted to realize process units VNU, CNU and PCU, thereby effectively reducing the key path delay of the coder and providing a necessary safeguard to improve the throughput of the LDPC coder. When realizing the method with the FPGA, the invention not only can save a large number of the resources for respectively storing the digit and the logic resources for generating addresses which are needed by the PCU, but also can improve the throughput of the coders.

The invention discloses a visual detection system for evaporator frosting and a detection method thereof, and relates to the technical field of evaporator frosting condition detection. The method comprises the following specific steps that through movement of an image acquisition device on a guide rail, frosting image sets on the back faces of multiple evaporators can be acquired through one camera, the image sets are converted into panoramic images through the image splicing and fusion technology, through the identification of the mark points arranged on the back surface of the evaporator, to-be-detected areas are segmented from the panoramic image, preprocessing and binarization are carried out on the target area, the frosting area percentage value can be calculated, the frosting degreeof the back face of the evaporator can be accurately reflected, and can be used as a basis for judging whether defrosting or refrigerating is performed, the aim of timely and accurately defrosting canbe achieved, and the refrigerating efficiency of the evaporator is provided, so that the energy consumption is reduced, and the cost is saved.

The invention relates to an intelligent automobile driving teaching system. According to the technical scheme, a leaner and automobile interaction interface, an information obtaining system, a controlsystem, an output device and an execution system are adopted. The leaner and vehicle interaction interface achieves automobile control of a learner and information entering. The information obtainingsystem obtains driving learning situation information of the learner, information of an automobile controlled by the learner, automobile surrounding object distance information and the like. The control system performs intelligent driving teaching according to a control algorithm. The output device displays driving situation information, learning effect evaluation and the like. The execution system improves the active safety of driving. The intelligent automobile driving teaching system is used for driving learner learning teaching and driving training and has the advantages of providing customized driving learning service oriented to different learners, reasonably optimizing training item arrangement of a driving school, effectively decreasing collision and other dangerous events and improving driving learning quality and efficiency.

The invention discloses a task allocation and conflict-free path planning method for a pull-type multi-AGV system and belongs to the technical field of multi-AGV scheduling. According to the method ofthe invention, in a mixed assembly production workshop where a logistics channel only allows a single AGV to pass through, the AGV is combined with a plurality of trailers to form a pull-type AGV system. With the length of the pull-type AGV considered, task allocation and conflict-free path planning of the pull-type multi-AGV system are carried out, so that pull-type AGVs can transport goods to designated positions under the requirement of a demand point soft time window, and task allocation is optimized, so that the sum of the total energy consumption of the distribution completion of all tasks and the lag time penalty value of task completion, which is obtained by means the addition of different weights, is the minimum. According to the method of the invention, the cost of purchasing alarge amount of logistics equipment by an enterprise can be reduced, the energy consumption generated by the logistics equipment is reduced, the production cost of the manufacturing enterprise is reduced, and the market competitiveness of products is improved. Reasonable task allocation and path planning can relieve the pressure of a line edge cache region of a mixed assembly production system, sothat the production system operates more efficiently and stably.

The invention discloses a cargo-to-human robot sorting system, method and device based on a dynamically assembled movable cargo shelf. The system comprises a fixed cargo shelf which is used for storing cargos through a material box placed on the fixed cargo shelf; a material box forking robot which is used for carrying the corresponding material box between the fixed cargo shelf and the movable cargo shelf according to the material box which needs to be carried and is determined by the system based on the order; a movable cargo shelf which is used for placing the material box forked by the material box forking robot from the fixed cargo shelf; a cargo shelf carrying robot which is used for carrying the assembled movable cargo shelf to each operation area in the warehouse or the movable cargo shelf temporary storage area; a sorting robot which is used for carrying the assembled movable cargo shelf to the position near a sorting station, wherein sorting workers can sort out the corresponding cargo conveniently according to system prompts; and an order sowing wall which is arranged at the sorting station and used for containing order boxes, wherein the order boxes are used for containing the cargo of the corresponding orders sorted out by the sorting workers.

The invention discloses an automatic fire extinguishing system and method for urban main combat fire fighting truck. The system comprises a bottom support platform, a top support platform, a center control system and a display system; the top support platform is installed on the bottom support platform; a first horizontal motor is installed on the bottom support platform, a pitching motor is installed on the first horizontal motor, and a fire monitor is installed on the pitching motor; a second horizontal motor is installed on the top support platform, and a first camera, an infrared camera and a second camera are sequentially installed on the second horizontal motor; and the first horizontal motor, the pitching motor, the first camera, the infrared camera, the second camera and the secondhorizontal motor are connected to the center control system, and the center control system is connected to the display system. According to the system and the method, the requirement for the number of fire fighters in the fire extinguishing operation of the urban main combat fire fighting truck is reduced, meanwhile the speed and the efficiency of fire extinguishing operation are improved, and therefore the purposes of fast, efficient and safe fire extinguishing in the urban fire scene are achieved.

The invention provides a non-mudhold double-body drag suction dredger and a construction method thereof and relates to dredging equipment and a construction method thereof. The technical scheme is that: the drag suction dredger equipped with a propelling device, drag suction dredging systems, a boat-loading system, deck machinery and a mud boat binding device is used for dredging and taking sand.The invention is characterized in that: the drag suction dredger is a non-mudhold double-body drag suction dredger; the dug sand is loaded into a selfpropelled mud boat anchored between two boat bodies of the drag suction dredger through the boat-loading system arranged on decks of the boat bodies on the two sides; and after being loaded, the mud boats are conveyed to the dredge filling position in a selfpropelled mode. The non-mudhold double-body drag suction dredger and the construction method thereof can be applied to large-scale dredge filling projects and sand-taking projects in abyssal regions far away from coasts.

The invention discloses a teaching, training and examining system based on virtual simulation for the gas industry, which is applied to the gas industry, and a use method of the system. The teaching,training and examining system comprises a teaching block, a practical operation training block and an examining block, wherein the teaching block, the practical operation training block and the examining block comprise a model library, a question library and a theoretical value simulation library, the model library comprises a three-dimensional virtual scene, a virtual tool, a device and a system,a third person figure model and the like, and the teaching block and the practical operation training block are provided with a study reminding module. A network teaching, training and examining platform is constructed according to the virtual simulation system. Due to the arrangement of the system, the flexibility of teaching, practical operation training and examining of the gas industry is effectively improved, the cost is reduced, meanwhile, the training effect is improved, no threat is caused to the personal safety of an operator, the use is safe and reliable, and the extensibility is extremely strong. In addition, for the system, the real-time updating of data can be easily realized, the training content is the latest, and a guarantee is provided for the working competence of new workers.

The invention relates to a sea clutter suppression method based on a radar signal space-time decorrelation model, and belongs to the technical field of sea clutter suppression. The method comprises the steps: 1, enabling a radar to process echo signals into echo data and arrange the echo data to obtain an NK-dimensional column data vector; 2, establishing a spatial domain and time domain decorrelation model of the sea clutter; establishing a clutter and noise covariance matrix model; 3, calculating a projection matrix of a to-be-detected unit; calculating a data vector of the to-be-detected unit after the target signal is eliminated; 4, establishing a clutter and noise covariance matrix estimation formula, calculating the value of a weight coefficient, and calculating an estimated value; 5, calculating an adaptive processing weight vector according to the optimal adaptive processing criterion; step 6, calculating a self-adaptive processing output result of the to-be-detected unit; according to the method, the clutter and noise covariance matrix estimation precision under a small sample is improved, and the problems that the output loss of a low-speed moving target is large and thesea clutter suppression performance is not stable in an existing sea clutter suppression technology are solved.

A power station boiler combustion characteristic neural network model comprises model input, model output and a neural network. The model input comprises output power of all combustors, coal quality parameters of pulverized coal corresponding to the combustors, pulverized coal concentration, flow speed, primary air, secondary air, over fire air, oxygen content, loads, carbon monoxide content, combustion chamber draft, pressure of all air bellows and opening degrees of all regulating mechanisms in the pulverized coal flow. The model output comprises a boiler effect measuring the performance of the boiler or NOx content relative to the boiler effect and surface characteristics. According to the physical characteristics of the model input, the model input is divided into combustor exclusive input and other global influence input which correspond to different input layers and hidden layer nerve cells. According to the power station boiler combustion characteristic neural network model, a power station boiler structure can be converted to a corresponding neural network special structure, the network model is made to comprise information of actual boiler characteristics, unnecessary interaction and coupling are avoided, subnetwork parameters with similar characteristics are made to be reusable at the same time, and high performance and efficiency are achieved.

The invention relates to a semi-supervised electroencephalogram signal-based sleep staging method under multi-domain features, and belongs to the field of human-computer interfaces. The method comprises the steps of processing original electroencephalogram signals in combination with an ant colony algorithm and a semi-supervised Bayesian classification method to obtain an original feature set under the multi-domain features; optimizing the feature set through the ant colony algorithm and extracting an optimal feature subset; and performing stage classification in combination with an active learning policy by taking the optimal feature subset as a classification feature through using an improved semi-supervised Bayesian classification method. According to the method, the sleep staging can be effectively realized, the calculation resource waste caused by low-efficiency feature attributes and a blind search process are avoided, and a demand quantity of labeled samples can be reduced; and compared with multiple sleep staging methods proposed in recent years, a result shows that the method provided by the invention not only can achieve the staging precision effect of a mainstream algorithm but also can greatly reduce the demand quantity of the labeled samples, thereby avoiding manual misjudgment situations.