436results about How to "Save human and material resources" patented technology

The invention discloses an automotive exhaust emission data fusion system. The automotive exhaust emission data fusion system comprises a roadside air pollutant concentration estimation module, a roadside air pollutant concentration prediction module, a city global atmospheric environment prediction module, an automotive exhaust emission factor estimation module and an automotive exhaust emission feather analysis module, wherein the five modules are used for respectively realizing different data analysis functions, and the different functions can be realized by virtue of the different modules; the modules can be independently used, or two or more modules can be combined for use, so as to realize the storage, analysis and fusion of automotive exhaust telemetering data, automotive attributes, driving working stations, detection time and meteorological condition data; and by combining with a vehicle-mounted diagnosis system database, a portable emission test system database, a vehicle inspection station offline database, a traffic information database and a geographic information database, automotive exhaust telemetering data is analyzed, and the highest discriminatory key indexes and statistical data are acquired, so that effective supports are provided for the formulation of relevant decisions of government departments.

The invention relates to an LSTM (Long Short-Term Memory)-RNN model-based air pollutant concentration forecast method. The method comprises the steps of monitoring and collecting air pollutant concentration data in a relatively long time; preprocessing historical data to construct training, verification and test sample data of a to-be-trained LSTM-RNN model; obtaining a pre-trained LSTM-RNN model through the training sample data, then performing fine adjustment and training through the constructed verification and test sample data to obtain LSTM-RNN model parameters, improving model precision by further correcting model parameters, and taking a corrected LSTM-RNN model as an air pollutant concentration forecast model; and finally taking the preprocessed air pollutant concentration data of a target city in the relatively long time as input data of the LSTM-RNN model, and performing model output to obtain a forecast result of air pollutant concentration at a current moment or at a moment in the future.

The invention provides an android-platform-based automated testing method and an android-platform-based testing tool. The testing method comprises the following steps of: script recording: recording operation events and generating an executable script of an android platform; script execution: executing the executable script after an equipment object receives a command for executing the script; and result judgment: judging whether an automated example is adopted according to a script execution result. By adoption of the testing method, the event script is recorded and played back and interface elements are automatically compared to obtain a test result and realize automated testing, and the whole testing process only needs a tester to read the test result, so the method is accurate and fast to implement, and a lot of manpower and material resources are saved. The android-platform-based automated testing method and the android-platform-based testing tool can be used as fast automated testing method and tool which are widely used in the android program test industry.

The invention provides a construction site operation safety remote management and control system and a construction site operation safety remote management and control method. The construction site operation safety remote management and control system comprises a front-end system and a background management system, wherein the front-end system comprises hand-held terminal equipment, individual equipment and AR smart glasses equipment; a person in charge of a work carries out sign-in and photographing of risk points and safety measures by means of the hand-held terminal equipment according to awork flow; the individual equipment carries out real-time video recording of the site by means of a fixing frame, and realizes real-time audio intercom with a monitoring center; with the aid of a camera from the first-person perspective, the AR smart glasses equipment acquires an image from the first perspective of a user and returns the image to the background management system, and when the on-site operating personnel needs professional assistance, the rear-end expert is called to perform remote assistance and guidance; and the background management system calls the on-site video of the currently-used AR smart glasses equipment in real time, positions a specific location of the glasses equipment, and performs real-time conversation and communication with the front-end site in a voice mode. The construction site operation safety remote management and control system and the construction site operation safety remote management and control method improve the visualization and interaction level of the operating site.

The invention provides a peccancy parking prompt method and a system thereof. The method comprises the following steps that: after a vehicle is parked, a vehicle terminal acquires current parking position information according to a GPS signal and sends a parking service request containing the parking position information to a traffic management application system; the traffic management application system determines whether an action of the parking is peccancy according to the parking position information and a no-parking-area electronic map and sends the feedback information according to a determination result; the vehicle terminal prompts a vehicle owner whether a current parking position belongs to the no-parking area according to the feedback information. By using the peccancy parking prompt method and the system provided in the invention, automatic supervision of the peccancy parking can be realized. A lot of human and material resources can be saved. A supervision efficiency can be increased.

The invention relates to a system for measuring the height of a human body in a video image based on camera calibration and further discloses a method for measuring the height of a human body in a video image based on camera calibration. The system comprises a calibration point selecting module, a camera parameter calculating module, a body height measuring end point selecting module and a human body height calculating module. By the adoption of the system and the method, the height of a person erectly standing on the ground can be measured only by relying on monitored video image data after camera parameters and corresponding space transformation matrixes of the parameters are calculated. The height calculating process is simplified. The camera parameters are calculated according to the correspondence relation of image space coordinates and actual space coordinates of the same position point. The height of the person erectly standing on the ground is calculated by combining with the camera parameters and foot bottom point and head top point measurement end point information and utilizing a height calculating algorithm.

The present invention discloses a traffic accident responsibility identification and claim settlement method which comprises the steps of vehicle data recording, accident information collection, remote accident analysis, first time responsibility identification, responsibility identification checkup and claim settlement determination. According to the method, through arranging the third party mechanism of a remote accident identification center, vehicle accident information is transmitted to the identification center, the responsibility can be rapidly identified and claim settlement information is determined. A responsibility identification analysis report is completed by professionals, is confirmed by accident parties and then is sent to an insurance company for claim settlement. Due to the video record and the common confirmation of both parties or multiple parties, a claim settlement result has high accuracy, the satisfaction degree of the parties is high, thus a traffic accident claim settlement case is rapidly processed, a lot of manpower and material resources of the insurance company are saved, a claim settlement process is simplified, and a claim settlement management link is improved.

The invention provides an operating and maintaining method and system of a database in the testing environment. The method comprises the steps that the application information, submitted by a user, of the database is stored into a storage unit through an interaction unit; a machine is selected from a machine resource pool through a machine allocating unit according to the application information, and the host name and the interface number of the selected machine are sent to a database setting unit; a database installation package, the application information and an installation order are sent to a corresponding machine through the database setting unit according to the host name and the interface number of the selected machine, the database installation package operates through the corresponding machine, and the database is installed according to the application information; on-line actual data are synchronized to the database set on the machine through a data synchronization unit. By means of the technical scheme, the deployment of the database in the testing environment can be efficiently and automatically carried out.

The invention relates to an isotope-based analysis method for nitrogen pollutants in an offshore aquaculture water area. The contribution rate of aquaculture wastewater to nitrogen in offshore water is acquired in the manner of analyzing the abundance values of nitrogen isotopes in the offshore water and the aquaculture wastewater according to the different components of the nitrogen isotopes in different pollution sources and receiving water. The method specifically comprises the following steps: step 1, collecting samples on all the sampling sites before the flood tide according to nationalrelevant industrial standards; and step 2, adopting an isotope mass spectrometer for analyzing the abundance values of nitrogen, hydrogen and oxygen isotopes in all the samples, comparing with the abundance values of the isotopes of a standard sample, calculating an isotope rate value of the samples, accordingly calculating the abundance values of 2H-H20, 18O-H2O and 15N-NO3 in an effluent sample,an aquaculture wastewater sample and a tidal creek sample, and applying a bayesian network model for calculating the contribution rate of the pollution sources. Due to the use of the isotopes in theinvention, the accuracy of analysis result is increased, the monitoring workload is effectively reduced and the human and material resources are saved.

The invention relates to a weight management system, in particular to a remote weight management system and a garbage management system based on the same. The remote weight management system comprises a weight bearing unit and a remote management terminal; a weight measuring device, a control box and a storage battery connected with the weight measuring device and the control box are arranged in the weight bearing unit; an integrated circuit plate is arranged in the control box; a signal acquisition module, a GPS positioning module, a micro control single-chip microcomputer and a signal sending module are arranged on the integrated circuit plate; an SIM card is connected with the integrated circuit plate; the remote management terminal comprises a computer processing device and a signal receiving module corresponding to the signal sending module. Through the remote weight management system, GPS positioning and wireless communication network are utilized; external weight is acquired and managed promptly and instantly through the remote management terminal; the remote weight management system is very suitable for an occasion requiring remote weight collect or manage, for example, a fishing match, and particularly suitable for garbage management.

The invention discloses a reservoir physical property parameter prediction method combined with deep learning, and the method comprises the steps: introducing the nonlinear correlation between an MICquantitative measurement physical property parameter and a logging curve, and selecting the logging curve which is obvious in response to the physical property parameter; introducing CEEMDAN to decompose the physical property parameter data sequence to obtain an IMF component and a residual RES component of an intrinsic mode function, and subjecting the physical property parameter data sequence tostationary processing; introducing SE to evaluate the complexity of each IMF component and RES margin, and recombining component sequences with similar entropy values to obtain a new intrinsic mode component; carrying out normalization processing on the new intrinsic mode component data and then dividing the new intrinsic mode component data into a training set and a test set; introducing an LSTMrecurrent neural network to establish a prediction model for the reconstructed new component, and obtaining a prediction value of each new intrinsic mode component; and carrying out inverse normalization on the prediction value of each new intrinsic mode component, and carrying out superposition reconstruction to obtain a physical parameter prediction result. According to the method, the modelingnumber of redundant information and prediction components is reduced, and the prediction precision and the prediction speed are improved.

The invention relates to a rotating type mop capable of being spun-dried to remove water. A rotating type mop rod mechanism comprises an upper pipe, a lower pipe and a rotating driving mechanism. The upper pipe is movably connected with the lower pipe through the rotating driving mechanism. The upper pipe and the lower pipe can move oppositely and vertically in the axial direction, and can rotate oppositely. A mop head mechanism is fixedly connected with the lower pipe. The rotating type mop is characterized by further comprising a water removing mechanism, the lower pipe is sleeved with the water removing mechanism, and the water removing mechanism can move vertically along the lower pipe. The water removing mechanism comprises a locking cover, a water blocking cover and a water outlet cover, wherein the lower pipe is sleeved with the water outlet cover, the water outlet cover is sleeved with the locking cover, the water outlet cover and the locking cover are provided with locking structures which are matched with the lower pipe, and the water outlet cover is sleeved with the water blocking cover. According to the rotating type mop, a special matched water barrel is not needed, a mop head can be washed and spun-dried in an ordinary water barrel or a water tank, using is convenient, a large number of manpower resources and material resources are saved, and economical burden of consumers is greatly reduced.

The application discloses a standard inputting and storing system for an accountant document template, wherein the system is applied to a commercial bank. The provided system is used for drawing a basic template for a user, enabling the basic template to correspond to a transaction element in the day-to-day business of the commercial bank, and storing the drawn basic template by using a database. When an application system of the commercial bank needs to print an accounting document, the system receives transaction running accounts from the application system; a proper basic template is searched from the database according to the running accounts; assignment is carried out on a printing element in the basic template and printing content information is generated; and then the information is sent to the application system, and the application system prints a needed accountant document according to the printing content information. Because the accountant document printing service can be provided by the system according to needs of all application systems of the commercial bank, all application systems do not need to develop own document printing procedures repeatedly, so that the corresponding manpower and material resources can be saved.

The invention relates to a vacuum pump testing system and method. The vacuum pump testing system comprises first and second vacuum chambers, first and second pressure testing systems, gas supply equipment, first and second gas pumping equipment, gas flow testing and controlling equipment and first and second temperature control equipment, wherein the first and second vacuum chambers are used for being connected with an air suction inlet and an air exhaust outlet of a pump chamber to be tested correspondingly, the first and second pressure testing systems are used for measuring the pressure ofthe first and second vacuum chambers correspondingly, the gas supply equipment provides gas for the first and second vacuum chambers, the first and second gas pumping equipment pumps gas from the first and second vacuum chambers correspondingly, the gas flow testing and controlling equipment is used for measuring and controlling the gas flow of the first vacuum chamber, and the first and second temperature control equipment controls the temperature of the first and second vacuum chambers correspondingly. The vacuum pump testing method is applied to the vacuum pump testing system. The vacuum pump testing system and method can provide pressure, flow and temperature controllable testing environment, can simulate the gas pumping states of a vacuum pump under different conditions, and can be used for testing gas pumping performance of different kinds of vacuum pumps.

The invention provides a test method and a test system of a vehicle control unit. The method comprises the following steps of: acquiring a storage file of a CAN message; analyzing the storage file of the CAN message, and obtaining a value interval of an intermediate layer interface variable of the vehicle control unit; taking a value in the value interval of the intermediate layer interface variable of the vehicle control unit, and forming a CAN message data according to the value taking result; transmitting the CAN message data, and acquiring data of the intermediate layer interface variable of the vehicle control unit; comparing the CAN message data with the data of the intermediate layer interface variable of the vehicle control unit; and judging whether the data of the intermediate layer interface variable of the vehicle control unit has receiving and analysis errors according to the comparison result. The method provided by the invention can perform automatic test of big data coverage for the interface variable, and can improve efficiency and reliability of testing the intermediate layer interface variable.

The invention discloses a digital display instrument reading identification method based on a convolutional neural network in the technical field of mode identification and artificial intelligence. The digital display instrument reading identification method comprises the steps of obtaining data, processing the data, constructing a depth network model, reading instrument reading and the like. According to the digital display instrument reading identification method based on the convolutional neural network disclosed by the invention, a high-precision automatic digital display instrument reading identification method is realized through a learning and training process based on a big-data instrument image; and the method has the characteristics of being high in identification accuracy rate and real-time performance, better in practical value and the like.

The invention discloses a logging curve prediction method based on modal decomposition reconstruction and a depth LSTM-RNN model. The logging curve prediction method comprises the steps: utilizing CEEMD to decompose logging curve data into limited intrinsic mode function IMF components and residual RES components which have local characteristics and are different in frequency; carrying out fluctuation degree detection on each component by a run-length detection method, and reconstructing CEEMD decomposition items with similar fluctuation frequencies into three new components with typical characteristics, namely a high-frequency item, a low-frequency item and a trend item; performing data normalization processing on the reconstructed new component and dividing training and test data; respectively establishing a depth LSTM-RNN model for each component and carrying out network training by utilizing the training data; and using the trained model to predict a missing or distorted logging curve, and finally reconstructing and reversely normalizing prediction results of the three components to obtain a logging curve prediction result. According to the logging curve prediction method, thenumber of prediction component modeling is reduced, and the prediction precision and speed are improved, and the simplicity and practicability are high, and the missing or distorted logging curve canbe predicted more accurately and effectively.

The invention discloses a system and a method for searching defects based on pattern identification. The method comprises the following steps of establishing a defect database, calculating each defect pattern in the defect database by a pattern boundary contour algorithm, and respectively and correspondingly establishing contour feature data of each defect; receiving the inputted image of the defect to be found; operating the image of the defect to be found by the pattern boundary contour algorithm to obtain the contour feature data; comparing the extracted contour feature data with the contour feature data established in the defect database; and according to the comparison result, finding the same or similar defect data information from the defect database and the related solutions. The system and the method have the advantages that the defect database can be searched, and the labor, the material and the resource are saved.

The invention relates to a reciprocating rotary frame. The reciprocating rotary frame comprises a base, a rotary workbench and an operating cylinder, wherein the rotary workbench is arranged on the upper side of the base, and has an L-shaped structure; and the operating cylinder is arranged between the rotary workbench and the base. The invention has the advantages that: reciprocating rotary frame has a simple structure, is convenient to use and easy to popularize; a hydraulic system is unique, is stable to run and has high safety performance; and the automatic control replaces manual operation, massive manpower and material resources are saved, the cost is reduced, the worker safety is improved, the manual damage probability is reduced, the moving speed is improved and the product quality is guaranteed.

The invention relates to a news comment automatic generation method and device. The method comprises the steps of taking a news title as original data; preprocessing the news title data to construct training data, wherein the training data is used as input of an LSTM model to train the model; obtaining a pre-trained LSTM model through training the sample data; adding a discriminator into the model; forming a GAN model, and distinguishing the comments generated by the LSTM model from true comments and false comments by using a discriminator, using the LSTM model as a generator to be in game with the discriminator until an output result reaches a threshold value. In order to ensure the context correlation between the output result (comments generated by the model) and news, a gating attention mechanism is applied to effectively process the context information.

The invention discloses a submerged plant thrown seedling cultivating and planting method which comprises the following steps: A, shearing dry straw or plant fibers into sheared sections and adding water to mixing dry clay and the sheared sections into muddy cultivation base materials; B, arranging the cultivation base materials into a seedling growing cavity disk; C, flattening the cultivation base materials filled in the seedling growing cavity disk; D, sowing or planting seeds and dormant buds of submerged plants into cavity holes through stem sections; E, placing the sowed seedling growing cavity disk into a seedling growing water tank; F, fishing the seedling growing cavity disk from the seedling growing water tank to be transported to a planting site when the submerged plants grow to 10 to 15cm; G, taking a seedling block out of the seedling growing cavity disk to be directly thrown into water of a target planting plot; and H, inserting root systems into bottom mud after the submerged plats survive. The submerged plant thrown seedling cultivating and planting method avoids secondary pollution on water bottom environment, prevents seedlings from floating up, saves labor resources and material resources and lays foundation for mechanical planting of the submerged plants by means of the small size of modularization seedlings.