84results about How to "Normative behavior" patented technology

The invention discloses a method for pooling a taxi, sharing a private car and hitchhiking. The method comprises the steps of entering demand information, conducting matching according to the demand information to obtain car pooling information, enabling a client terminal to display the car pooling information in an imaging mode, obtaining information of the taxi and taking the taxi according to the car pooling information or taking the private car according to the car pooling information after a user validates that the taxi or the private car sets out on time, and automatically generating a cost list detail and a historical note finally. Due to the fact that appointment can be carried out on taxi pooling, private car sharing and hitchhiking, the user can conveniently plan for traveling in advance. Meanwhile, limiting conditions are arranged in the demand information, car pooling among acquaintances can be achieved, therefore, car pooling is relatively safe and reliable, the car pooling information is displayed in the imaging mode and is vivid and visual, and many-to-many selection matching among users can be conveniently carried out. Finally, generation of both the cost list detail and the historical note is automatically executed, user operation is simplified, and user experience is good. The invention also discloses a system for pooling the taxi, sharing the private car and hitchhiking at the same time.

The invention discloses a transformer substation field worker monitoring and management system and method based on video analysis and RFID. The management system comprises a video monitoring module for acquiring video data of a field zone, a danger zone and a key device zone, an RFID identification module for reading RFID identifier information of workers in a wireless mode and transmitting the RFID identifier information to a monitoring center through the Ethernet to conduct worker permission analysis; a voice early warning module connected with the monitoring center and used for sending early warning prompt information according to video analysis and the worker authority analysis, and the monitoring center for analyzing received monitoring videos and RFID identifier information results of the workers. The transformer substation field worker monitoring and management system and method can identify whether the field workers wear safety helmets or not and identify colors by means of a video analysis technology, utilizes an RFID technology to identify the identity permissions of the workers, can completely eradicate the potential safety hazard that the workers who do not wear the safety helmets enter a field and stray into a restricted zone and can achieve an anti-theft function.

The invention provides an intelligent prescription auditing system and an intelligent prescription auditing method. The system is provided with an input module, various databases, a prescription auditing module, a dispensing explaining module, and an output module. The method is implemented as follows: a doctor refines a prescription through the input module and then sends the prescription to the prescription auditing module; after receiving the prescription, the pharmacist reviews writing rules, indications, dosage, incompatibility and drug interactions of the prescription according to various databases; the doctor returns checking comments of the disqualified prescription to the prescription input module so as to modify or re-issue the prescription or give suggestions, and sends the qualified prescription to the dispensing explaining module; after receiving the prescription, an allocation doctor allocates medicines; after receiving the prescription, a dispensing doctor generates prescription information, a medication explaining matter and the like of dispensing explaining, which are printed by the output module and then explained to a patient. The invention provides a medicine dispensing control system and a medicine dispensing control method which are capable of effectively avoiding great prescription, irregular prescription, unsuitable medication for the prescription and unconventional prescription.

The method is suitable to exchange type LAN, sharing type LAN, multiple sub networks distributed type large and medium size type network. The system including three layers type structure contains detector in host, CPU, management and control center, and background database. The method includes following procedures: establishing safety rules; based on safety rules, intrusion detection and monitoring and controlling Intranet according to IP address and MAC address; breaking, alarming intrusion and violation, and recording it to background database; auditing recorded information; recovering destroyed data etc. The integrated system possesses features of favorable expansibility, maintainability, portable and reuse.

The invention discloses a decentralized key management method based on homomorphic encryption. The method comprises the following steps of 1, user main key generation; 2, cloud service example key generation; 3, key distribution by aiming at different data examples. The decentralized key management method has the positive effects that the homomorphically encrypted ciphertext computing characteristic is utilized for realizing safe key management, the key authority of a key management center is decentralized, and the control authority of a user is improved. The key management center can complete cloud computing service key distribution under the condition without obtaining the user main key; the variability of cloud service keys and the key distribution function of fine granularity are realized, and different keys can be distributed according to different cloud service types and business data types; a department audit can monitor data and business behaviors at any time; the key management center can only complete the key management function, and a user main key and a cloud computing service key cannot be obtained.

The invention provides a traffic violation detection method and system. The method comprises steps of using a deep learning network to establish recognition models based on traffic violations, wherein the recognition models comprise a smoking recognition model, an unbound belt recognition model and a talking-on-cellphone recognition model; obtaining an image in a cab captured during vehicle travel; detecting whether a driver has a traffic violation in the image; and when the driver is found to have a traffic violation, obtaining the position information and the license plate number of a vehicle driven by the driver, and sending the image, the license plate number and the position information corresponding to the vehicle to a traffic police platform. The problem that the traffic violation detection method is single and cannot detect the vehicle internal state is fundamentally solved, behaviors of the driver are standardized, the warning effect is achieved, the manual cost is reduced, the intelligent degree of traffic violation detection is improved, and traffic accidents caused by adverse operations are effectively reduced.

The invention provides a construction site intelligent monitoring system based on internet of things. The system comprises a monitoring processing unit, an inlet and outlet region monitoring unit and an automobile wash region monitoring unit. The invention further provides a construction site intelligent monitoring method based on the internet of things. By the system and the method, the problem of throwing building materials by a waste vehicle in a construction site can be solved. Violations are subjected to early warning and evidence-taking backtrack by automatically monitoring washing, overloading and illegal operation of the waste vehicle in the construction site.

The invention provides a block chain-based good safety multi-interest subject credit evaluation method. According to the method, a Hyperledger block chain is taken as a bottom support technology of the credit evaluation method, multi-interest subjects (traders) on food supply chains and supervisors are endowed with different identity authorities, and the traders are endowed with identity anonymityand evaluation result publicity and transparency during the evaluation; and the supervisors collect evaluation information, for transactions, of the multi-interest subjects on the food supply chainsthrough intelligent contracts, carry emotion analysis on the fed back evaluation information by adoption of a deep learning algorithm long and short term memory (LSTM) model, and feed credit evaluation results back to both parties of the transactions. According to the method, the efficiency and correctness of traditional credit evaluation systems are improved and the effectiveness of food safety supervision is enhanced.

The invention discloses a Stackeberg game-based network resource allocation method. The method comprises the following steps of: acquiring parameters of a domain cognitive server; gathering and processing information of the domain cognitive server; reporting a current state and a quality of service (QoS) parameter of a network to a center server; gathering the information of the whole network by using the center server; transmitting strategy information to each domain server by using the center server; generating strategy space by using the domain cognitive server; and performing closed-loop information feedback. The method mainly researches how to introduce a master-slave incentive thought in a game theory into a cognitive network, introduces a network induction strategy by self-sensing dynamic information of the network, and discloses a dynamic adjusting algorithm of the network from a common state to an optimal operation state by adopting a dynamic game method so as to realize self-control of the cognitive network. The method relates to the technical fields such as service identification, the QoS of the network, the game theory, the cognitive network and the like.

The invention discloses a moving track real-time locating tracking method based on geographic information system (GIS) services. The method includes that authenticity and uniqueness of a mobile phone terminal user are guaranteed; accurate and real-time collection of locating coordinates can be guaranteed; a coordinate collecting abnormal processing mechanism is established under different complicated scenes, and the true reflection of activity range and track of the mobile phone terminal user by mobile phone collected coordinates can be guaranteed; in order to prevent the mobile phone user from avoiding mobile phone locating uploading, a journal function of mobile phone usage behaviors is provided, related data are shown through report forms in a background system, and the control over the usage behaviors of the mobile phone user can be enhanced. According to the moving track real-time locating tracking method based on the GIS services, distribution, trend, track, attendance and the like of site operation staff can be controlled in real time on the basis of a power grid integrated platform, the GIS services and the mobile phone terminal, and the phenomena that the site operation staff are absent, and leave early and do things that are not related to work during the working period can be radically eliminated.

The invention discloses an intelligent seat selecting system of a novel public transport means. The intelligent seat selecting system comprises an information gathering module which is used for gathering face image information of users when the users get on the public transport means, an identity judging module which is used for judging the identity types of the users according to the face image information of the users, and a seat selecting module which is used for selecting target seats for the users according to the identity types of the users and unlocking the target seats. By means of the intelligent seat selecting system, the problem that the matching degree of the seats of the public transport means and the identities of the passengers is relatively low is mainly solved. By means of the intelligent seat selecting system, the users of different identity types can sit on the seats corresponding to the identity types, the situation that the normal users occupy too many seats which are suitable for special groups is avoided, the relation between supply and demand of the user identities and the seats is balanced, the probability of seat disputing among the different users is reduced, and the using effect and the using efficiency of the public transport means are further improved.

The invention discloses a driver smoking detection method and system based on a computer vision technology. The driver smoking detection method comprises the steps: obtaining external image information from a camera, and carrying out the face detection in real time; when the human face is detected, selecting the maximum human face as the human face for subsequent analysis by comparing the sizes ofall detected human face areas; performing block division on the obtained maximum face area to obtain a face mouth block; calling and operating a plurality of smoking detection modules to detect the mouth block; and if any smoking detection module detects the smoking behavior, storing the corresponding smoking position while other smoking detection modules stop running. In the driver smoking detection method, the smoking detection algorithm is higher in speed, lower in hardware requirement, higher in algorithm expandability and lower in false alarm rate; and the accuracy, robustness and the like cannot be reduced, and the whole equipment is smaller in size, low in hardware cost and controllable and can be easily and widely popularized as a consumer electronic product.

The invention discloses a method for automatic generation of intelligent accounting vouchers. The method mainly comprises the following steps: S1, establishing an original voucher database; S2, constructing bookkeeping voucher databases; S3, inputting data according to requirements; S4, automatically generating original vouchers; S5, automatically generating relevant information of bookkeeping vouchers and the bookkeeping vouchers; and S6, automatically generating the intelligent accounting vouchers based on information of the original vouchers and the bookkeeping vouchers. The method for theautomatic generation of the intelligent accounting vouchers provided by the invention has the advantages that human labor can be reduced, accounting voucher issuance behaviors can be standardized, violations of laws and regulations in financial accounting can be reduced, accounting functions can be effectively performed, the accounting and bookkeeping efficiencies can be improved, and paperless computerized accounting can be facilitated.

A management and control system is composed of microwave communication unit, vehicle travelling recorder, traffic signal light controller, roadcross computer and platform of computer network data. It is featured as setting microwave signal emitter at vehicle bottom in connection with recorder for sending data to road, setting microwave signal receiver at roadcross in connection to roadcross computer for fetching all data there, then sending all data to computer data platform by roadcross computer.

The invention discloses a self-adaptive setting method and system for an alarm strategy of a vehicle active safety system, which belong to safe driving of vehicles. Collision time and a signal of a vehicle are obtained through a data acquisition module, the collision time is obtained by ADAS equipment according to positioning and movement information of an obstacle, and the signal of the vehicle is obtained by the ADAS equipment through a CAN bus; driving habit analysis is conducted through a data analysis module according to the collision time and the signals of the vehicle, an alarm strategyis formulated on the basis of the analyzed driving habit, and the driving habit comprises the size relation between the driver braking operation time point and the collision alarm point, the LDW alarm state and the corresponding steering lamp operation state; and the alarm strategy in the ADAS equipment is updated through the upgrading module according to the reformulated alarm strategy. Based onthe driving habit and style of the driver, the alarm and control strategy of the vehicle-mounted active safety system is adaptively and dynamically adjusted, and the influence of the unified alarm strategy on the user experience is avoided.

The invention discloses an e-commerce fresh commodity express delivery management system based on big data. The system comprises a handover time point determination module, a time period weather analysis module, an intelligent delay judgment module, a video monitoring tracking module, an analysis cloud platform, a distribution information database, a hierarchical reminding module, a credit investigation management analysis module and an information management display terminal. According to the invention, the weather condition of the time period from the distribution time point to the handovertime point is checked to judge whether the handover time point is delayed or not and the delay duration; graded reminding is carried out on the delayed handover time points; meanwhile, the distribution behaviors of the distributors in the distribution process are monitored; and finally, according to the final docking result condition of the credit investigation management analysis module on the delivery party and the client party, credit investigation statistical management and display of the two parties are carried out, so that the deliveryman and the client can visually know respective credit investigation states, behavior constraints on the deliveryman and the client party are realized, and the comprehensive quality of the delivery service is improved.

The invention discloses a data center full-life-cycle comprehensive service test process supervision system which belongs to the field of construction supervision. The system comprises a test verification module, a project implementation module and a supervision module, the test verification module is used for realizing the following processes: a starting stage, a drawing verification stage, a field reconnaissance stage, a preparation stage before field test, a field test stage and a service report compilation stage, service demand analysis is carried out through each stage, and online platform support is carried out for proper content; the project implementation module is used for testing in the implementation process and evaluating implementation completion; the supervision module is used for progress real-time state updating and progress tracking brief report. By collecting and analyzing historical data in the data center construction process and the data center operation process, objective and datamation evaluation of the platform on all the data centers can be achieved, data traceability is achieved, the project information collection efficiency is improved, meanwhile, the phenomena of data tampering and the like can be avoided, and the service capacity is improved.

The embodiment of the invention provides a nuclear power station power loss test management system, and the system comprises a data management module which is used for obtaining the real-time test data of a nuclear power unit in a nuclear power station system power loss test; a simulation deduction module used for performing nuclear power station system power loss test simulation according to thereal-time test data to obtain a simulation result; and a fault diagnosis module used for comparing the simulation result with a power loss test acceptance criterion of the nuclear power station systemto obtain a fault diagnosis result. According to the embodiment of the invention, real-time data of the nuclear power unit is acquired to realize simulation deduction of power switching and power loss test consequences, online early warning, rapid fault diagnosis and guidance of processing work. Behavior of test operators is standardized, safe and reliable operation of the nuclear power unit is ensured, availability and reliability of related equipment are improved, equipment fault consequences are controlled, the nuclear power unit fault duration time is prevented from being too long, and safety accidents caused by fault handling activity errors are also avoided.

The invention discloses a blood whole-process management system and method based on a block chain technology. The blood whole-process management system comprises a computer read-write terminal, a blood bag with a built-in RFID electronic tag, and a block chain platform. The computer read-write terminal inputs temperature, time, geography and other information in the blood donation-storage-transportation-use process and uploads the information to the block chain platform. The blood bag with the built-in RFID electronic tag corresponds to the unique blood donation ID, and information of the blood donator and whole-process data of blood are inputted through the computer read-write terminal and uploaded to the block chain platform. The block chain platform is connected with three main modules,namely a blood data storage module, a blood intelligent allocation module and a blood consumption credit evaluation module. The system has the advantages that RFID electronic tags are used to recordblood donation-storage-transportation-use whole-process information, the information is uploaded to the block chain platform to serve as evidence for blood quality supervision and responsibility investigation, distributed management, intelligent allocation and effective supervision of blood information are achieved, and the enthusiasm of unpaid blood donators can be improved.

The invention discloses a semi-supervised image classification method based on random region interpolation, and the method comprises the steps: selecting a small number of images with real labels froma training set, and taking other remaining images as images without real labels; simultaneously sending the two types of images to a random region interpolation module; wherein the interpolation process is different, the image with the real label can directly generate a new augmented image through interpolation, but each image without the real label cannot be normally interpolated, so that high-confidence label information can be obtained through a teacher network to serve as a temporary label of each image without the real label, and then interpolation operation is carried out; and trainingthe network by using the new augmented image until the network model is trained to a preset number of times. Random region interpolation is carried out on two types of images at the same time, a new augmented image is generated for training a classification network, and the generalization performance of a training model is improved.

The invention provides a prompting method and device based on shared equipment, electronic equipment and a storage medium, and relates to the technical field of shared equipment. The method comprisesthe following steps: acquiring position information of shared equipment; if the position information is located in a first preset area, judging whether the minimum distance between the position information and the boundary position point of the first preset area meets a first preset condition or not; if yes, sending a first prompt message, wherein the first prompt message is used for prompting theposition relationship between the position information and the first preset area and the first preset area is a shared equipment placement area. According to the embodiment of the invention, when theuser of shared equipment uses the shared equipment, the user can be prompted in advance, so that the user can conveniently adjust the use area according to the first prompt message, and when the shared equipment is placed, the shared equipment can be placed in the first preset area in a standard manner, thereby achieving the purposes of standardizing user behaviors and facilitating city management.

The invention discloses a logistics violation behavior identification method and device, equipment and a storage medium. The method comprises the steps of: S1, collecting and obtaining a plurality ofpictures of logistics violation behaviors; S2, carrying out data labeling on logistics violation behaviors occurring in the plurality of pictures, and carrying out conversion to generate a picture data set in a TFRecord format; S3, based on a TensorFlow object detection API, training a YOLOv3 model which is converted into a TensorFlow solidification model in advance through a picture data set, verifying the trained YOLOv3 model, and obtaining a violation identification model; and S4, identifying the logistics scene through the violation identification model, and judging whether a logistics violation behavior exists or not to obtain an identification result. According to the invention, the YOLOv3 and the TensorFlow object detection API are combined and applied to the field of logistics to carry out violation behaviors; the invention greatly improves the training speed of the model and the precision and speed in the training and supervision process, guarantees the interests of the user,provides the service quality of the user, reduces the loss of the logistics industry, improves the transfer efficiency and quality, and enables the logistics to be closer on an intelligent road.

The invention provides a pet performance based reward and punishment feeding method and system. The method includes the steps of 1), firstly, recording reward or punishment statements of a host with a microphone in advance, and storing the recorded statements through a central processing unit; 2), arranging corresponding pet prohibited areas for monitoring screens in a touch display screen; 3), the central processing unit judging whether pets appear in the preset pet prohibited areas or not; 4), the central processing unit outputting generated food weight throwing signals to feeding valves of the central processing unit according to results, and selecting corresponding digital audio output to a loudspeaker according to the result; 5), the feeding valves controlling throwing weight according to the food weight throwing signals, and the loudspeaker playing reward and punishment audio output by the central processing unit. The pets are subjected to reward and punishment feeding according to performance at home, and automatic supervision, automatic education and automatic reward and punishment are performed on the pets in unattended situations.

The embodiment of the invention provides a travel expense dispute processing method and device, computer equipment and a computer readable storage medium, which are applied to the technical field of expense dispute processing. The processing method comprises the following steps: receiving a charging ending instruction of a first terminal for a current travel, and generating a travel expense bill according to the charging ending instruction; Judging whether first fee dispute data exists in the journey fee bill or not; If yes, pushing an itinerary fee bill containing the first fee dispute data to a second terminal associated with the itinerary fee bill; And after confirmation information, sent by the second terminal, of the first fee dispute data is received, executing corresponding fee dispute automatic processing on the travel fee bill. According to the embodiment of the invention, whether each trip fee bill generated by the driver terminal is fair and correct or not can be automatically identified, and when the trip fee bills are problematic, the trip fee bills are actively pushed to the passengers to carry out final confirmation of the fee dispute data, so that loss to the passengers is avoided.

The invention discloses an intelligent electric vehicle based on a screen sharing system, and belongs to the field of electric vehicles. The intelligent electric vehicle comprises a vehicle head, a display screen is fixedly arranged on the vehicle head, a loudspeaker is fixedly arranged on the lower side of the display screen on the vehicle head, a USB interface arranged on the vehicle head, and amobile phone bracket is clamped at the front end of the vehicle head, mobile phone data of a takeout rider can be effectively shared to the display screen of the electric vehicle through the screen sharing unit, a navigation route is guided through the voice broadcasting unit, the frequency of checking a mobile phone by the take-out rider is effectively reduced, the safety of the take-out rider in the riding process is effectively improved, the riding monitoring unit is used for monitoring the riding condition of the takeout rider and transmitting data to the takeout software, the riding behavior of the takeout rider is monitored, the standard degree of the takeout industry is effectively improved, and the illegal riding frequency of the takeout rider is reduced.