64results about How to "Increase the value of data" patented technology

A display device is provided that comprises a liquid crystal display panel for displaying an image by spatial light modulation, and circuitry for switching liquid crystal in the panel between having a first configuration in a first mode to cause an image displayed using the panel to be discernible from a wide range of viewing angles, and having a second configuration in a second mode to cause an image displayed using the panel to be discernible substantially only from within a narrow range of viewing angles. Several types of display panel to achieve such in-panel switching between public and private viewing modes are disclosed.

A system for facilitating patient ownership of his or her medical data through the use of third-party health repositories that preserves the maximum information content of the medical records by displaying information relevant to the authority of the medical data as reflected by its source and types of modification as it has moved between institutions, as well as the data itself. In this way, improved use of this data is made possible.

The invention discloses an automatic driving data labeling method, a cloud control platform and a storage medium. The labeling method of the automatic driving data comprises the following steps: dividing the automatic driving data into at least one data subset and a perception data set according to a data source of the automatic driving data so as to store the perception data set and the at leastone data subset in a classified manner; then performing data annotation on the perception data set so as to construct a perception data set related to the scene according to a data annotation result;and fusing the perception data set related to the scene with the at least one data subset and generating an annotation data set. According to the method and the device, automatic labeling of the automatic driving data is realized, a data basis is disclosed for testing of the automatic driving vehicle, and a driving scene is analyzed by utilizing related data, for example, whether the current automatic driving vehicle runs normally or not is judged according to the sensing data.

The invention discloses a credit evaluation method based on a wind control model. The method comprises the steps that DuPont analysis is carried out, the financial information of an enterprise is acquired and undergoes DuPont analysis to acquire the return on equity capital; during violation calculation, the operation information of the enterprise is acquired, and the violation probability of the enterprise is acquired according to the operation information of the enterprise; at the step of rating, the evaluation information of the enterprise and the enterprise controller are acquired, and the credit rating and credit score of the enterprise are acquired according to the evaluation information; and at the step of quota calculation, the credit line and loan rate of the enterprise are updated according to the credit rating and credit score. The invention further discloses an electronic device, a computer readable storage medium and a credit evaluation device based on the wind control model. According to the invention, the credit evaluation method based on the wind control model can manage the credit line of a customer in real time; the link demand of manual intervention is reduced; the data value is improved; and the risk of fake trade and loan fraud is reduced.

Memory circuitry 2 includes a memory cell 12 coupled to a plurality of bit line pairs 18, 24 providing multiple access ports. Write boost circuitry 36 serves to increase a write voltage applied to write a data value into the memory cell during at least a boost period of a write access. Collision detection circuitry 10 detects when the write access at least partially overlaps in time with a read access. If a collision is detected, then write assist circuitry serves to drive the bit line pair of the detected read access with a write assist voltage difference having the same polarity as the write voltage and a magnitude less than the write voltage with the boost voltage applied. The write assist circuitry drives the bit line pair of the colliding read independently of the write boost circuitry applying the boost voltage such that the boost voltage is undiminished by the action of the write assist circuitry.

The invention provides an equipment access method and device for an Internet of things platform. The method includes the following steps: receiving an access request of first equipment; establishing data standards for the first equipment according to the access request of the first equipment, and further performing access on the first equipment; receiving an access request of second equipment; searching for a corresponding target data standard in the data standards according to the access request of the second equipment; and performing access on the second equipment according to the target data standard. According to the equipment access method for the Internet of things platform provided by the embodiment of the invention, when a set of equipment has performed docking with the Internet ofthings platform, the corresponding data standards can be generated, and when the similar equipment performs docking again, rapid access can be performed according to the data standards generated by the previous docking, a complex docking process is not required, the access of hardware equipment is simple, the access efficiency can be improved, and the technical problem of hardware equipment access difficulties and low efficiency in Internet of things processing of existing tourism hardware equipment can be alleviated.

One or more embodiments of the invention provide a method, apparatus, and article of manufacture for processing viewing usage data in a set-top box. A set-top box (STB) receives, via broadcast, distinct programmable instructions for data collection, data manipulation, and data reporting for viewing usage data. The STB then obtains / collects raw viewing usage data in accordance with the instructions for data collection. Once collected, the STB manipulates the raw viewing usage data to create a report in accordance with the instructions for data manipulation. The report is then transmitted from the set-top box to a centralized data mining system in accordance with the instructions for data reporting.

The invention provides a method executed by electronic equipment and used for controlling personnel passing. The method comprises the steps: receiving and recording the user information of a user, wherein the user information comprise health risk information; in response to a received verification request of a target user from a channel device, obtaining a risk assessment result corresponding to the health risk information of the target user, and receiving the current user identification information and the current body temperature information of the target user from the channel device; basedon the current user identification information and the current body temperature information, judging whether the target user meets a preset passing condition to obtain a judgment result; and determining whether to control the channel device to open a channel based on the risk assessment result and the judgment result. The invention further provides a device for controlling personnel passing, channel equipment, a channel system, electronic equipment and a computer readable storage medium.

The invention discloses a variable lane control method based on vehicle-road coordination, which comprises intersection signal control equipment, a vehicle-road coordination device is loaded in the intersection signal control equipment, and the vehicle-road coordination device loads communication and perception capabilities for a signal control machine by integrating a roadside communication device in the signal control equipment and integrating a vehicle-mounted device in a vehicle. According to the technical scheme, the method is characterized in that a specific implementation mode is as follows: a left-turn phase and a straight-going phase, the left-turn phase: L1-L2 is greater than 4, it is confirmed that a left-turn queue is relatively long, L2 is recorded, and a next acquisition period is entered; L1-L2 is less than or equal to 4, and the default mode of the variable lane is straight; when the straight-going phase L1-L2 is larger than 4, it is confirmed that the straight-going queue is long, and the default mode of the variable lane is straight going; L1-L2 < = 4, it is confirmed that the left turn queue is long, L2 is recorded, the next acquisition period is entered, and ifthe conditions 1 and 4 occur in the two acquisition periods and L2 is greater than a set threshold value, the variable lane is changed.

The invention discloses an air traffic control data supply chain system and a data management method, and belongs to the technical field of air traffic control data processing. The invention providesan air traffic control data supply chain system in order to solve the problems that in the prior art, air traffic control data do not have a complete data supply chain system, so that data barriers between systems are serious, a perfect data management system does not exist, and data management is disordered. Chain nodes of the data supply chain comprise data production, data acquisition, data storage, data management and data application. During data processing, the air traffic control data supply chain system is constructed firstly, a processing platform is established in a data processing module of an air traffic control data supply chain, and data processing is implemented; and a data interaction publishing platform is built, and the data supply chain control and service capability isimproved. According to the invention, in air traffic control data management, a data supply chain is established to open a data circulation pipeline, assetization and servitization of data are completed in the data circulation process, and the data value is improved.

The embodiment of the invention discloses an automatic registration method and device for the unmanned aerial vehicle images and an electronic device. The method comprises the following steps of obtaining a to-be-processed image collected by an unmanned aerial vehicle, determining the unmanned aerial vehicle flight attitude information corresponding to the to-be-processed image, the shooting parameters of an unmanned aerial vehicle camera, the corresponding geographic coordinates during imaging of the unmanned aerial vehicle camera and the corresponding height parameters, wherein the flight attitude information of the unmanned aerial vehicle at least comprises a course angle, a pitch angle and a roll angle, and the shooting parameter information at least comprises an image size and a fieldangle of the unmanned aerial vehicle camera, based on the pitch angle and the roll angle, determining the imaging direction of the unmanned aerial vehicle camera, and if the imaging direction of theunmanned aerial vehicle camera is perpendicular to the ground, determining the geographic coordinates corresponding to each pixel on the to-be-processed image based on a pre-configured calculation model according to the course angle and the camera shooting parameters. According to the method, the geographic coordinates of the pixels of the image are calculated, and the common images are convertedinto the remote sensing images, so that the purpose of improving the unmanned aerial vehicle image data value is achieved.

The invention provides a rule control realization method and device in an Internet of things platform. The method comprises the steps of establishing connection relationships with target devices; setting device shadows for the target devices based on the connection relationships; making target rules for the target devices according to the settings of a user; receiving detection data sent by the target devices based on the connection relationships; and analyzing the detection data and the target rules, thereby obtaining an analysis result, controlling the device shadows to perform correspondingactions and achieving the purpose of controlling the target devices. According to the method provided by the invention, data on various devices and sensors can be collected efficiently in real time;the target devices are controlled according to the target rules; various information requests can be responded rapidly; thousands of devices in various tourism areas can be managed efficiently and clearly in a mode of device shadows; the intelligence is high; and the technical problem that in the existing tourist industry, the thousands of devices cannot be managed and the data cannot be processedis mitigated.

The invention relates to the field of data mining, and discloses an express delivery data mining method and device, equipment and a storage medium. The method comprises the following steps: acquiring original express data, wherein the original express data comprises waybill main body data, commodity main body data, e-commerce platform main body data, merchant main body data and consumer main body data; desensitizing and cleaning the original express data to obtain target data to be mined; respectively extracting key information of different main bodies in the target data by adopting a preset data mining method; performing correlation analysis on the key information of the different main bodies in the target data to obtain an association relationship among the key information of the different main bodies in the target data; and updating the subject portraits corresponding to the subjects according to the key information and the association relationship. According to the invention, the data of each subject portrait in the express industry can be perfected, so the service quality of each link is improved.

The invention relates to intelligent equipment based on edge computing and an access and equipment parsing method. The intelligent equipment comprises an equipment management module, an equipment access module, a protocol configuration module, a message queue mechanism module, a data analysis module, a data storage module and an external data interface. The intelligent equipment has the advantagesthat the problem that an original data information island is poor in system maintainability and low in expandability is solved; the code reusability of an original system is improved, and the cost ofuser system upgrade and maintenance is saved. Meanwhile, the method is deployed in a cloud mode and an external data interface method is provided, so that the data value is greatly improved.

A method for quantizing an image includes estimating a probability distribution by number of pixels versus gray level intensity from an image to create a histogram of the image; calculating a cumulative distribution function (CDF) of the histogram using the probability distribution; segmenting the gray level intensity into segments based on the cumulative distribution function; and quantizing the histogram based on the segments. Herein, the segments have identical number of pixel.

The invention relates to a system for realizing a main data coding rule maintenance function in a big data environment. The system comprises a coding management preparation module; a coding mode selection binding module; a coding rule maintenance method design module; and a coding rule maintenance module used for carrying out addition, deletion and sequential modification on the bound coding ruleof the service field under the model version. The invention also relates to a method for realizing the main data coding rule maintenance function. Based on the system and the method for realizing themain data coding rule maintenance function in the big data environment, a developer only needs to develop a rule method meeting a service scene, a coding management rule and coding management maintenance of a current project according to actual project requirements, so that a set of standard coding management maintenance method system is maintained to meet the current scene requirements, flexibleand efficient operation of a user is achieved, data is fully used, and the data value is improved.

The invention discloses a dynamic self-adaptive green wave method based on vehicle-road collaboration. After vehicles drive into a signal detection range of an intersection signal control machine, vehicle-mounted terminals transmit vehicle information to the intersection signal control machine in a vehicle advancing direction; a roadside communication device receives the vehicle information and screens the vehicle information; after screening, the roadside communication device calculates an average speed of all vehicles in a certain time period, calculates a phase difference of the vehicles passing through the road section, and transmits the phase difference to an intersection signal control machine located at a next intersection; and the intersection signal control machine at the next intersection adjusts a street lamp time interval of the intersection according to the phase difference. The dynamic self-adaptive green wave method based on vehicle-road collaboration has the advantagesthat: firstly, the direction of large flow is determined according to flow information obtained through vehicle-road collaboration, and therefore a green wave route is switched to; secondly, the average vehicle speed is calculated according to the vehicle speeds obtained through vehicle-road collaboration, and therefore the green wave phase difference is configured; and thirdly, all-weather coverage of dynamic self-adaptive green waves in a vehicle-road collaboration mode is achieved.

The invention relates to a serialization method of a binary file penetration reverse isolation device, which comprises the following steps: step 1, reading data of a binary format file on a disk by anexternal network side sending program to obtain a binary format data sequence; and step 2, serializing the binary format data into text format data by an external network side sending program. The method has the advantages that on the premise that the safety of the production control area is guaranteed, data reverse channels of the production control area and the information area are opened, andcomprehensive utilization of data of the information area by the production control area is achieved; the comprehensive utilization effect and the data value of the power plant information data are improved; meanwhile, the national requirement for safety protection of the power monitoring system is met, and safe and reliable operation of the production control area is guaranteed; a binary file canpenetrate through the reverse isolation device, and in the application of a power system, data such as an optimization model and optimization parameters can be efficiently transmitted between a control area and a non-control area under the condition of meeting the national power safety protection requirements.

The invention discloses an information display method, a smart home server and a storage medium, and the method comprises the steps: obtaining the information of smart home equipment connected with acurrent smart home system, and building a database corresponding to the smart home equipment in the smart home system; synchronously storing the data of the smart home equipment into a database corresponding to the smart home system; and identifying a user identity, obtaining display information of the smart home equipment in the user authority, and displaying the display information through a data display template. According to the invention, different users are identified through the smart home system, the display data of different users is displayed, the information sharing, sharing and co-fusion of the smart home devices are realized, the customized demand of the users based on the data information among various smart home devices is solved, more convenience is brought to the users touse the smart home devices, and the user-oriented data value of the smart home devices is enhanced.

The invention discloses a data management method and system. The data management method comprises the steps of obtaining to-be-managed data; constructing a data management task for the to-be-managed data according to a preset data standard; calling a corresponding data management tool according to the data management task; and governing the to-be-governed data according to a data governing tool togenerate a governing result. By implementation of the invention, the to-be-governed data of different industries can be governed according to the data standards of the different industries; differentdata standards can be formulated according to the requirements of different users to govern the data, the diversified data governing function of mass data in different industries is achieved, and themethod has the advantages of being wide in application range, more flexible in data governing mode and short in data governing time; according to the data management method, opening and sharing of data management in various industries are achieved, and the data value and the data quality are improved.

The invention relates to a data operation method based on block chain, The user activates the product loaded with the encryption chip, submits the corresponding data every time the data buffer is saturated, the encryption chip encrypts the data, submits the data to the corresponding block chain personal consensus computing environment, and after obtaining the data bookkeeping right, the encrypteddata are held mutually in the main chain of the current block chain and the user scope of the current product; The big data platform decides whether the data submitted by users in any block chain personal consensus computing environment needs to be decrypted and used one by one, and uses the public key authorized by users to decrypt and use. The invention improves the process of collecting, storing, operating and the like of the industry basic data, effectively exerts the advantages of the block chain, and solves the problems of difficult data collection, difficult verification and high verification cost through the technology. In the process of business operation, especially industry analysis, data density is high and data operation is easy to realize, which is very conducive to the development of service economy after the sale of functional products.

The embodiment of the invention provides a data storage method and device. The method comprises the following steps: obtaining raw data, wherein the original data comprises all data collected from thefirst time; integrating the original data to generate partition data divided according to authorization time, the partition data comprising data within a preset time length for the authorization timecorresponding to each authorization time, and each authorization time being divided according to a preset interval from the first time; and storing the partition data in the data storage space. Therefore, through double-partition data storage, the data coverage rate is increased, and the data value is increased.

The invention relates to the technical field of transformer substation management, in particular to a transformer substation intelligent management system based on digital twinning, which comprises a daily operation and maintenance supervision module, an analog simulation prediction module, a teaching and training immersive learning module and an analog simulation planning module. The daily operation and maintenance supervision module comprises a digital twin comprehensive monitoring system, an operation ticket simulation system, a peripheral protection system, a video monitoring system, a foreign matter monitoring system, a fire protection supervision system, a fire hazard monitoring system, a power environment monitoring system, a lighting supervision system, an energy field visualization system, an inspection robot monitoring system and a water level water immersion monitoring system; the analog simulation prediction module comprises a load energy consumption monitoring system; the teaching and training immersive learning module comprises a digital twin teaching and training system; the analog simulation planning module comprises an emergency simulation system. The system can realize holographic backtracking, global supervision and prediction simulation in the production process of the transformer substation.

The invention discloses a government affair data quality assessment and abnormal data restoration technology based on big data technology in the technical field of data analysis, comprising the following steps: firstly establishing a database, then carrying out data quality assessment, and finally carrying out data quality restoration. Null value, value domain, specification, logic, citation and repeated data inspection are carried out on data fields. The data quality is comprehensively evaluated from six dimensions of data integrity, relevance, uniqueness, accuracy, consistency and normalization. A data quality evaluation report is generated, and a user carries out manual repair or rule repair or deep learning repair on the data to help the government to break through internal data barriers, disable data assets, improve data values, provide uniform intelligent data services to the outside and further deeply dig and release value bonus of big data.

The invention discloses a data fusion method based on pattern matching and entity matching. The method includes the steps of performing entity matching by using a given initial connection record pair,performing pattern matching by utilizing the result of the current entity matching, and performing entity matching according to the pattern matching result, and so on. The matching result of each round is used as input data through the matching result of the previous round, and matching is carried out on the basis of successfully matched record pairs of the previous round, so that the possible error matching or not finding record group in the previous round can be corrected, and the result of the pattern matching is continuously corrected, until the results of the pattern matching and the entity matching tend to be stable. According to the method, the accuracy of data fusion can be improved, and the data value is increased. The invention further discloses a data fusion device based on pattern matching and entity matching, a system and a readable storage medium, and has the beneficial effects.

The invention is suitable for the technical field of power grid planning, and provides a collaborative site and line selection method and device based on territorial and electric power facilities, and the method comprises the steps: obtaining current power grid data, planning power grid data and territorial space resource data, the territorial space resource data comprises overburden ore distribution data, geographic space data, highway geographic information data and mountain torrent disaster area distribution data; based on the current power grid data and the planned power grid data, establishing a current power grid layer and a planned power grid layer, and based on the territorial space resource data, establishing a geographic space layer, an overburden ore distribution map layer, an expressway layer and a mountain torrent disaster area distribution map layer; and based on the multiple layers, the reasonability of a planned site and a planned path is checked by using a DE-9IM algorithm, and collaborative site selection and line selection based on territorial and electric power facilities is realized. According to the invention, land space resource data and other external information are accessed, holographic early warning of power grid planning line selection and substation planning site selection is realized, and the data value and the power grid planning landing rate are improved.

A method for estimating maintenance dates includes steps of obtaining one or more differences between detected values and maintenance values of parameters, and determining whether the differences are beyond predefined values. The method further includes a step of implementing or recommending an initiation of maintenance if any of the differences are beyond their respective predefined values. The method also includes a step of estimating the maintenance date according to the differences and variation values representing changes of the parameter per time unit for the tool, if none of the differences are beyond their respective predefined values. An apparatus for estimating maintenance date in this fashion is also presented. The apparatus includes a controller, a database, and a connection unit.