14results about How to "Decision science" patented technology

The invention relates to the technical field of police service management, discloses a police service management system and method based on an image recognition technology, and aims to improve the police service management efficiency and accuracy. The system comprises a data receiving module, a data preprocessing module, a target detection module, a behavior analysis module and an information integration module. A monitoring video stream is received, data is preprocessed to form an image data set, and then a specific target is detected by using a deep convolutional neural network and a track sequence is output. And carrying out behavior analysis on the target track by adopting a long-short-term memory network, and identifying an abnormal mode. And finally, integrating the detection result and the behavior analysis data, and generating a police service management report. According to the invention, intelligent processing of monitoring videos is realized, police service departments are assisted to respond to abnormal conditions in time, and urban public security is maintained. Through the deep learning technology, the accuracy of target detection and behavior recognition is improved, and powerful support is provided for modern police service management.

The application discloses a data crawling analysis method and device based on an industrial internet, and a medium, and belongs to the technical field of industrial internet data processing, and is used for solving the technical problems that the industrial internet data crawling in the prior art cannot be compatible with multiple types of web pages and dynamic loading technology, lacks customized rule configuration, has weak anti-crawling capability, and has low data structuring degree. The method comprises the following steps: collecting user demand data of a user; performing customized configuration on the initial crawling rule under the relevant rule adjustment to obtain a customized rule; performing crawling processing on a target website under relevant dynamic web pages and static web pages, and based on an anti-crawling mechanism, monitoring and controlling corresponding crawling actions to obtain target webpage data crawled; performing data structure analysis processing on the target webpage data to obtain a data structure format; performing distributed storage on the data structure format to obtain data storage result information; and feeding back and adjusting the customized rule.

The invention relates to a rail traffic unmanned aerial vehicle emergency patrol method based on an optical fiber monitoring and signal system, and the method is characterized in that the method comprises the steps: S1, obtaining all abnormal events in a target event interval and the position information of each abnormal event based on real-time physical parameters collected by a monitoring optical fiber in combination with train operation data; s2, grading the abnormal events based on the real-time physical parameters corresponding to the abnormal events to obtain grades of the abnormal events; s3, based on the position and the remaining endurance of each unmanned aerial vehicle, pairing the unmanned aerial vehicles for each abnormal event in combination with the position and the grade of each abnormal event, and performing flight path planning on each unmanned aerial vehicle based on the position of the paired abnormal event; and S4, controlling each unmanned aerial vehicle to inspect each abnormal event. Compared with the prior art, the accuracy of the abnormal event can be improved by combining the train operation data of the signal system.

The invention discloses a corrugated paper production line virtual debugging and operation optimization system based on digital twinning. The system comprises a digital twinning building module, a multi-dimensional model building and training module, a dominant variable recognition module and a virtual debugging and optimization module. The digital twin construction module is used for acquiring physical entity data and operation condition data of a production line and constructing a digital twin consistent with the physical production line; and the multi-dimensional model construction and training module is used for synchronously constructing a multi-physical sensitive dimension model in the digital twin for key processes of a production line, and relates to the technical field of corrugated paper production. According to the corrugated paper production line virtual debugging and operation optimization system based on digital twinning, by constructing the digital twinning body and the virtual debugging module, the production process can be debugged and optimized in advance in a virtual environment, the debugging period of a traditional production line is remarkably shortened, and the debugging cost and risk in actual production are reduced.

The present application provides a kind of sintering machine trolley arching automatic adjustment control method, system and storage medium, by obtaining the graphic image information of sintering machine trolley obtained by image recognition device and extracting the effective image information of the wheel of current sintering machine trolley and the track at return track, the identification end of image recognition device is for the transition connection of return track and tail star wheel curve, according to the distance of effective image information and the distance of identification end from the wheel of current sintering machine trolley, the arching amount of current sintering machine trolley relative to return track is calculated, when arching amount is greater than first preset threshold, control arching adjustment device to start, when arching amount is less than or equal to first preset threshold, the distance value between the top of wheel of current sintering machine trolley and ranging device detected by ranging device is obtained, when distance value is less than second preset threshold, control arching adjustment device to start, to eliminate arching, can real-time monitoring arching amount, and timely adjustment.

The invention discloses a storage tank settlement deformation online monitoring device and method, and relates to the technical field of storage tank settlement deformation, the storage tank settlement deformation online monitoring device comprises a tank body and a base, the bottom of the tank body is fixedly provided with a supporting column, the circumferential surface of the tank body is fixedly provided with a fixing ring, and the fixing ring is fixedly provided with a supporting column. A settlement monitor is fixedly installed on the circumferential face of the tank body, and the monitoring device comprises a fixing ring, a connecting ring, a first linkage block, a yoke plate, a shifting rod, a base, a telescopic elastic plate, a sliding column, a sliding block, a first sliding rod, a button and an alarm. The button is triggered to input a signal to the alarm under the action of the first sliding rod, the alarm gives an alarm after receiving the signal, settlement or inclination abnormity is found in advance, tank body structure damage caused by uneven settlement or excessive inclination is avoided, and safe operation of the tank body is ensured.

The invention discloses an assembly type high-altitude special-shaped beam sleeve connection construction method. According to the invention, the precise monitoring of the sensor module ensures the construction quality and the structure safety. The torque sensor can accurately control the pre-tightening force of each fastener by measuring the torque value of the fastener in the screwing process, and the situation that connection is not firm due to insufficient torque or the fastener is damaged due to excessive torque is avoided. And due to the use of the position sensor and the high-precision measurement technology, the accuracy of connection between the sleeve and the special-shaped beam is ensured, the installation error is reduced, and the construction precision is improved. The strain sensor and the temperature sensor are matched for use, the strain condition and the temperature change in the connecting process can be monitored in real time, and the data are crucial for preventing the performance change of the material caused by the temperature change or the damage caused by excessive strain. The monitoring system can find potential problems in time and take measures, thereby ensuring long-term stability and reliability of the structure.

The invention relates to a mine water disaster grouting treatment effect evaluation method and system. The method comprises the steps that indexes for mine water disaster grouting treatment effect evaluation are obtained; determining weight values of the indexes for evaluating the grouting treatment effect of the mine water disasters by adopting a superior sequence diagram-CRITIC combined weighting method; and based on the indexes and the weight values of the indexes for evaluating the grouting treatment effect of the mine water disasters, utilizing a grouting effect evaluation model to obtain a result for evaluating the grouting treatment effect of the mine water disasters. According to the method, the problems of unicity of index weighting, one-sidedness of single index evaluation, weak universality and the like in the prior art are solved, theoretical guidance is provided for enhancing the stability of coal and rock masses and reducing coal loss, and reliable technical support is provided for safe and efficient production of coal mines.

The invention provides a method and a device for automatically capturing a demolition unit in a finite element model. The method comprises the following steps of: extracting a unit number of a component unit in a file unit sequence of an INP file; a region matrix and an index dictionary are established based on the unit numbers, the region matrix comprises the corresponding relation between the component units in the target region and the unit attributes of the component units, and the index dictionary comprises the corresponding relation between the unit numbers and the component units. And segmenting the region matrix to obtain a demolition matrix and a fixed matrix, wherein the demolition matrix comprises a corresponding relation between a demolition unit and a unit attribute of the demolition unit. And generating a one-dimensional list corresponding to the demolition units during each demolition according to the demolition matrix and the index dictionary. And simulating a dismantling scheme corresponding to each dismantling based on the dismantling matrix, the fixed matrix and the one-dimensional list in the finite element model to obtain a dismantling result. According to the method provided by the invention, the component unit can be efficiently captured.

The application discloses a short-circuit current fast calculation and inhibition method and system based on day-ahead production simulation, and the method comprises the following steps: based on load prediction data, power generation prediction data and various production plan curves, a scenario set covering multiple time sections is generated by using a probabilistic method, and power flow distribution is calculated as a multi-scenario production simulation result; through a preset data mapping and conversion rule library, the production simulation result is converted into simulation data files suitable for electromechanical transient simulation software; by using a parallel computing framework, a short-circuit current calculation module of the electromechanical transient simulation software is called in batches, the maximum short-circuit current of each bus and the corresponding time section and scenario are identified; a suppression measure knowledge base is constructed, a candidate suppression measure combination is generated, a multi-objective optimization algorithm is used to optimize, screen and simulate and check the candidate suppression measures under the condition of safety and stability constraints, and an optimal suppression measure scheme is output. The application couples production simulation and transient simulation, and realizes intelligent decision-making.

The invention discloses a fresh meat whole industry chain information fusion decision-making system based on digital twinning, and belongs to the technical field of fresh meat management. Target links of all link ends are identified according to industry chain information, and link acquisition ranges and additional acquisition ranges of the link ends are determined according to the target links; carrying out data acquisition according to the link acquisition range and the additional acquisition range, obtaining comprehensive acquisition data, obtaining a decision analysis demand of a user, and establishing a digital twinborn model according to the decision analysis demand; acquiring comprehensive acquisition data of each link end in real time; distributing additional acquisition data in the comprehensive acquisition data to the corresponding basic link parties to obtain link acquisition data of each basic link party; and performing decision simulation analysis on the link acquisition data of each reference link party based on the digital twin to obtain a decision analysis result of each decision analysis demand, and performing association simulation analysis on the link acquisition data of each basic link party to obtain a data real result of a corresponding data item.

The invention discloses an ecological sensitive area construction disturbance threshold value dynamic regulation and control method, which comprises the following steps of S1, acquiring basic environment data of an ecological sensitive area, and performing preprocessing; s2, according to the preprocessed basic environment data, constructing an initial construction disturbance threshold value system in combination with an environmental protection threshold value database, and determining ecological disturbance control references of different construction links; s3, multi-dimensional disturbance indexes in the construction process are monitored in real time based on the intelligent construction technology, the initial construction disturbance threshold value is dynamically corrected, and a construction disturbance threshold value dynamic regulation and control model is constructed; the invention relates to the technical field of ecological protection and engineering construction management. According to the dynamic regulation and control method for the construction disturbance threshold value of the ecological sensitive area, the disturbance index in the construction process is monitored in real time, the initial construction disturbance threshold value is dynamically corrected in combination with the ecological model, dynamic regulation and control of the construction disturbance threshold value are achieved, and the changing ecological environment condition in the construction process can be flexibly coped with.

The invention discloses an unmanned aerial vehicle-based precise control method for diseases and pests of litchi, longan and garden plants, and belongs to the technical field of agricultural plant protection. The method comprises the following steps: collecting a multispectral image and geographic information of an orchard through an unmanned aerial vehicle; analyzing the image by using a deep learning algorithm and an image recognition technology, recognizing a disease and pest region and severity, and generating a disease and pest prescription map containing pesticide application parameters by combining a spectrum database for comparison; and the unmanned aerial vehicle flies to the target area according to a path planned by the prescription map, controls the on-off and flow of the nozzle according to the prescription map parameters and the real-time position, and carries out precise pesticide spraying on the target area. The problems of pesticide abuse, low efficiency and uneven coverage in traditional plant plantation pest control are solved, early recognition, accurate diagnosis and variable pesticide application of plant canopy pests in a garden, especially lychee and longan fruit trees, are achieved, and therefore the pesticide utilization rate, the operation efficiency and the control effect are remarkably improved, and the economic benefit is increased. And the labor cost and the environmental risk are greatly reduced.

The present invention discloses a system for monitoring the physical changes of marine structures in the field of marine engineering monitoring, a data acquisition subsystem, a data processing subsystem, a data transmission and storage subsystem, a neural network learning subsystem, and a monitoring and alarm subsystem. After the neural network learning subsystem predicts the physical change trend of the marine structure, the data collected by the data acquisition subsystem is divided into key impact data and non-core data according to the prediction result. The data acquisition subsystem continuously collects the key impact data, and the monitoring and alarm subsystem performs real-time monitoring according to the preset threshold and the collected key impact data. Once an abnormal situation is monitored, the alarm mechanism is immediately triggered. The present invention realizes real-time monitoring, intelligent prediction and efficient alarm functions of marine structures by integrating multiple advanced subsystems, providing a strong guarantee for the safe and stable operation of marine structures.