32results about How to "Improve comparison efficiency" patented technology

The invention relates to the field of methylation sequencing, in particular to a screening method of methylation sequencing fragments. The method comprises: 1) using a healthy sample, establishing a signal baseline by constructing an n-order Markov chain model, the healthy sample containing a methylation sequencing result, and a sequencing fragment of the healthy sample originating from an rDNA region; and 2) filtering a to-be-detected sample by using the established signal baseline, the to-be-detected sample containing a methylation sequencing result, and a sequencing fragment of the to-be-detected sample being derived from an rDNA region. According to the method disclosed by the invention, background noise from normal tissues is effectively filtered, and methylation signals (especially rDNA methylation signals) related to diseases are effectively screened out.

The present invention relates to the field of construction engineering technology, and in particular to a BIM model and drawing comparison method and system based on completion archives. The system comprises a completion archive data parsing module, a BIM model generation module, a comparison analysis module, a dynamic update module and an optimization feedback module. The data parsing module uses natural language processing technology to extract building data from the completion archives; the BIM model generation module uses a geometric modeling algorithm to generate a BIM model consistent with the actual construction; the comparison analysis module automatically compares the BIM model with the drawings through computer vision and deep learning algorithms to identify differences; the dynamic update module uses the Internet of Things to monitor the construction site in real time and update the BIM model; the optimization feedback module optimizes the system logic according to the feedback. The present invention not only improves the accuracy and efficiency of BIM model generation and drawing comparison, but also realizes dynamic monitoring and updating of the construction site, providing strong support for digital management and lean construction in the construction industry.

The application discloses a component difference identification method and device in different version BIM models and a storage medium. The method comprises the following steps: selecting a component to be compared from different version BIM models; extracting contour lines of the component to be compared in each version BIM model; sampling the contour lines to obtain a key point set of the contour lines; sampling a surface of the component to be compared to obtain a description point set of the surface; calculating a logarithmic distance between each key point in the key point set and all points in the description point set; constructing a statistical histogram of the component to be compared according to the logarithmic distance; and identifying component differences according to the statistical histograms of the components to be compared in different version BIM models. The application can identify subtle differences of components, and improve identification efficiency and identification accuracy.

The invention discloses a code comparison method, device and equipment, a medium and a product. The method comprises the following steps: pulling second metadata of a second engineering code of each version of a to-be-compared code branch of a first Git warehouse through JGit, and storing the second metadata into a second Git warehouse; determining a first tree parser corresponding to the second engineering code in second metadata of a second Git warehouse; analyzing the second metadata according to a first tree analyzer to obtain first file structure data, and analyzing the first metadata of the first engineering code according to a second tree analyzer corresponding to the first engineering code to obtain second file structure data; and comparing the first file structure data with the second file structure data, and determining change information of the first engineering code relative to the second engineering code. According to the technical scheme, the problem that current code comparison depends on a GitLab interface is solved, comparison branch codes can be cloned to the local through JGit for comparison operation, dependence on the GitLab interface is reduced, and comparison efficiency is improved.

The invention discloses a method and system for synchronously updating heterogeneous data sources based on chdb, and the method comprises the steps: carrying out the data grouping of the data of a source end and a target end through employing the same data grouping strategy; the method comprises the following steps: converting a primary key field of data into a hash value, and performing modular operation grouping; loading the data of the source end and the target end of each group, and converting the data into a DataFrame format of Python Pandas; performing CHDB table registration on the DataFrame format data of the source end and the target end of each group, executing SQL statements of SQL all-external connection, and identifying deletion, updating, insertion or no change of the data; and executing corresponding data operation on the target data source according to the comparison result. According to the method and the system, the source data and the target data are loaded into the chdb for quick comparison, records needing to be newly added, updated and deleted are identified, and then corresponding data operation is executed, so that accurate synchronization between heterogeneous data sources is realized, and the method and the system are suitable for a large-scale data processing scene.

The present invention provides a heterogeneous data comparison method and device, which belongs to the field of financial technology or other technical fields. The heterogeneous data comparison method includes: obtaining two data tables according to a data comparison instruction, summing and comparing the records in each column of the two data tables according to the data type of the records in each column of the data table; determining the data comparison strategy according to the comparison result of the sum comparison, the unique identifier of the data table and the data volume; splicing the records in the data table into corresponding target strings according to the data comparison strategy, and comparing the target strings of the two data tables to generate data table comparison results. The present invention can quickly verify the data table after the migration or synchronization of heterogeneous data sources, solve the performance bottleneck, and improve the comparison efficiency.

The invention discloses a tracing identification method for industrial wastewater in a municipal pipe network based on a three-dimensional fluorescence spectrum angle algorithm. The tracing identification method is characterized by comprising the following steps: collecting industrial area municipal pipe network confluence well water outside a factory, industrial wastewater raw water in the factory, treated industrial wastewater and a water sample of an enterprise inspection well; mixing the municipal pipe network confluence well water with the industrial wastewater raw water, the treated industrial wastewater and enterprise inspection well water in the factory according to a series of different proportions to obtain three-dimensional fluorescence spectrum data of water samples with different mixing proportions; reading the three-dimensional fluorescence spectrum data obtained after correction in the step 1 in a python environment, flattening the three-dimensional fluorescence spectrum data into a one-dimensional vector, and performing normalization processing on the one-dimensional vector to obtain one-dimensional vectors of each group of mixed water samples; the spectral difference and similarity between samples are compared and analyzed through a spectral angle algorithm, the characteristics of the industrial wastewater are quantitatively evaluated, qualitative recognition of the industrial wastewater in the municipal pipe network is achieved, and the method has the advantages of being efficient, accurate and convenient.

The present invention provides a method, device, electronic device, and storage medium for detecting cheating in an image. The method includes: obtaining multiple images of an object to be detected; classifying the multiple images to divide them into multiple image groups; for each image group, selecting two images in turn as the first image and the second image for cheating detection: detecting key points of the first image and the second image to obtain a first key point set and a second key point set, and extracting feature vectors; establishing an association relationship between the key point sets of the first key point set and the second key point set; calculating the matching rate between the first image and the second image; determining whether the matching rate between the first image and the second image is greater than a predetermined threshold; if not, determining that cheating behavior exists between the first image and the second image; if so, performing a horizontal mirror transformation on the second image, updating the transformed image to the second image, and performing cheating detection again. The method and device provided by the present invention realize image cheating detection.

The invention provides a laboratory business data storage method based on a block chain, a laboratory business data storage system based on the block chain, computing equipment and a computer readable storage medium, and relates to the technical field of data storage. The laboratory service storage system based on the block chain comprises a server and a plurality of clients, and each client comprises a data acquisition module used for acquiring at least one piece of laboratory service data; the server comprises a verification module which is used for verifying the client and outputting a verification message; and the client further comprises a data adding module which is used for adding the laboratory service data into the block chain when the verification message shows that the verification of the client is passed. According to the technical scheme provided by the invention, a distributed data storage system is constructed according to a resource sharing principle, the data cannot be tampered by utilizing a block chain technology, and the whole network consistency is finally realized.

The invention relates to the technical field of multi-energy management, and relates to an energy management and control method based on a multi-energy management platform. The method comprises the steps of receiving a transmission data packet through a data calculation center, determining a current processing data packet of the data calculation center based on a priority coefficient of the transmission data packet, and obtaining generated electric quantity of each energy power station connected with the data calculation center based on calculation processing duration of the current processing data packet in the data calculation center. Judging whether the sum of the generated electric quantity of each energy power station meets the required electric quantity or not, when the required electric quantity is met, acquiring a total electric quantity generation stability index and a unit set time generation stability index of each energy power station from the multi-energy management platform, and analyzing a selection priority coefficient of each energy power station; and according to the selection priority coefficient of each energy power station, the final energy supply energy power station is determined to supply energy to the data calculation center, so that intelligent regulation and control of energy are realized, and efficient and stable operation of the data calculation center is ensured.

The invention discloses a tunnel anchor rod detection method and device and electronic equipment, and the method comprises the steps: collecting a layout image of an anchor rod driven into a tunnel through image collection equipment, and presetting a marker for recognizing the anchor rod on the anchor rod; the layout image is input into an image recognition and analysis model, the layout image is analyzed through the model, an actual condition parameter set of the anchor rods is obtained, and the actual condition parameter set comprises at least one of actual construction parameters of each anchor rod and actual distribution state parameters of the anchor rods. Therefore, whether each anchor rod in the layout image meets the construction requirement or not can be determined according to the actual construction parameter of each anchor rod and / or the actual distribution state parameter of each anchor rod, and the predetermined reference construction parameter of each anchor rod and the reference distribution state parameter of each anchor rod. According to the method, the actual condition of the anchor rod driven into the tunnel can be efficiently obtained, and technical support is provided for tunnel structure safety evaluation.

The invention discloses an information device supervision system and method based on the Internet of Things, and relates to the technical field of Internet of Things device management, and the method comprises the steps: obtaining a wake-up mode in a historical record and an operation record of a wake-up process of an Internet of Things device, dividing the wake-up mode of the Internet of Things device according to a task process operated by the wake-up Internet of Things device, and obtaining a wake-up mode of the Internet of Things device; establishing a relationship between the wake-up modes and task requests executed after the Internet of Things equipment is awakened, obtaining data interaction characteristics of task processes, and dividing necessary task processes and unnecessary task processes corresponding to the wake-up modes, the method comprises the following steps of: evaluating the association degree between unnecessary task processes and necessary processes according to the relationship between the unnecessary task processes and the necessary task processes, blocking the unnecessary task processes according to the evaluation result of the unnecessary task processes after the Internet of Things equipment is awakened, obtaining the operation change trend of the Internet of Things equipment, and when a certain condition is met, stopping the operation of the Internet of Things equipment. And releasing the blocked unnecessary task process.

The embodiment of the invention provides an address comparison circuit and a storage system. The circuit comprises a delay circuit, a reset circuit and a detection circuit. The delay circuit receives an activation command and outputs an enable signal. The reset circuit is configured to receive a control command and adjust the level of the feedback node to a first level. The detection circuit is configured to compare the first address with the second address, and select whether to conduct a transmission path between the feedback node and the ground end or not during an enabling signal effective period based on a comparison result of the first address and the second address; if the first address is not consistent with the second address, the transmission path is conducted, so that the level of the feedback node is adjusted to be a second level, and the level value of the second level is smaller than the level value of the first level; and if the first address is consistent with the second address, the transmission path is cut off, so that the level of the feedback node is kept at the first level. According to the embodiment of the invention, the circuit area is reduced, the transmission delay caused by address comparison is reduced, and the accuracy of a comparison result is improved.

The invention discloses a data entry consistency verification method and device based on a spreadsheet and a storage medium, and the method comprises the steps: (1) data importing: importing verification data in batches from a laboratory information system and an archive management system; (2) data verification: carrying out data comparison and summarizing problem data by utilizing an Excel formula, VBA programming or a comparison function; and (3) result display and report generation: displaying the data verification result in a visual mode, and generating a data verification report according to the summarized problem data. The method has the three advantages that the comparison efficiency is improved, manual operation is replaced by automatic comparison, the comparison time is greatly shortened, and the working efficiency is improved. And through preset comparison rules and automatic processing, human errors are reduced, and the data accuracy is improved. The data traceability is enhanced, the detailed comparison report and early warning function is beneficial for the user to track the problem source, and the data traceability is enhanced.

The present application provides a text comparison method, device, electronic device and computer-readable storage medium, the method comprising: traversing a first text, obtaining a fingerprint value of a first fingerprint of each string in the first text; traversing a second text, obtaining a fingerprint value of a second fingerprint of each string in the second text; comparing the fingerprint value of the first fingerprint with the fingerprint value of the second fingerprint, and obtaining the similarity between the second text and the first text. The scheme of the embodiment of the present application has a time complexity of approximately O(M+N) and a space complexity of O(M+N). Compared with related technologies, it can effectively reduce the time complexity and space complexity of the algorithm, thereby improving operation efficiency, improving text comparison efficiency, saving computing resources and time overhead, and improving work efficiency.

The present invention relates to artificial intelligence, and discloses an image target comparison method, device, computer equipment and readable storage medium, including: obtaining a standard image and a comparison image; cropping the area showing the standard target in the standard image to form a standard operation image, and cropping the area showing the comparison target in the comparison image to obtain a comparison operation image; extracting the standard target in the standard operation image, and extracting the comparison target in the comparison operation image; obtaining the standard contour of the standard target, and the comparison contour of the comparison target; comparing the difference between the standard contour and the comparison contour, and judging whether the standard target and the comparison target are the same according to the difference. The present invention also relates to blockchain technology, and information can be stored in blockchain nodes. The present invention not only improves the accuracy of the comparison between the standard target and the comparison target, such as the comparison between the standard official seal and the comparison official seal, but also improves the efficiency of the comparison between the standard target and the comparison target.

The invention provides a restart mass data comparison method, device and system and a medium. The method comprises the steps that data tables needing to be compared are obtained based on a source end database and a target end database; splitting the data table into a plurality of data segments, and generating corresponding query statements; executing the query statement to compare the data segments, and generating difference data; performing secondary hash processing on the query statements of the data segments subjected to data comparison to obtain hash values, and storing the hash values in a secondary hash set; when a data comparison restart task is identified, reading a secondary hash set of the data comparison task, and obtaining data segments needing to be compared again; and executing the query statements of the data segments needing to be compared again to obtain difference data. According to the invention, by adopting a sectional comparison method, the efficiency of data comparison is improved, and when comparison needs to be carried out again in the data comparison process, the corresponding hash value can be read to locate the data section needing to be compared again, so that the convenience of data comparison is enhanced.

The present application discloses a data processing method, device, equipment and storage medium, the method comprising: for the scheme of the present application, based on at least two data models included in the database and the upstream and downstream relationships between the data models, a first relationship map is established; the first relationship map includes at least two nodes and at least one directed edge; based on the at least two nodes and the at least one directed edge, a first core node in the first relationship map is determined; the data model pointed to by the first core node is compared to obtain a first comparison result for the database; based on the first comparison result, a target comparison result for the database is obtained. When performing the comparison, the scheme of the present application can have the characteristics of high automation, high accuracy, small data processing volume and high comparison efficiency.

The application provides an information comparison method, device, equipment, medium and product, and relates to the technical field of function testing. The method comprises the following steps: acquiring a multi-level result list received by an interface test tool, wherein the multi-level result list comprises a plurality of first lists of different levels; determining a first list at the bottom layer in the multi-level result list as a target list to be compared; splicing a first identifier of the target list and a second identifier of a higher-level list of the target list to obtain a target identifier corresponding to the target list; and comparing target identifier data of the target list with first data of a preset assertion list to obtain a comparison result, wherein the first data is assertion data in the assertion list corresponding to the multi-level result list. The above steps can improve the efficiency of comparison between assertion data and returned data.

The invention provides a logging layering interpretation conclusion accurate comparison method based on a mutual cutting method and a related system, and belongs to the technical field of logging data processing in oil exploration and development. The method comprises the following steps: for two versions of hierarchical interpretation conclusion sets of a well, mutually cutting according to top depth and bottom depth, splitting original interpretation layer sections into comparable layer sections, then enabling the comparable layer sections to form comparable layer section groups in a one-to-one correspondence manner, and judging whether the comparable layer section groups are equal or not through comparison of a depth domain and a conclusion domain; and counting and summarizing comparison conclusions of all the comparable layer section groups to form a complete difference comparison result of the well. Through automatic cutting and comparison processes, the method can be added into an existing processing and explaining process very easily, and the difference between explaining results of different versions can be obtained quickly, so that the multi-well comprehensive research period is shortened; especially for the conditions of a large number of wells, a large number of oil reservoirs and a large number of interpretation layer sections, the comparison work efficiency can be remarkably improved, and artificial introduction of extra errors is avoided.

According to the optimized ribosome DNA sequence alignment method provided by the invention, by constructing and using the optimized reference genome, the accuracy and efficiency of rDNA sequence alignment are effectively improved, and accurate recognition of disease-related rDNA methylation markers in whole genome sequencing and methylation analysis is facilitated.

Embodiments of the present application relate to a routing comparison method and device, computer equipment and a storage medium, by obtaining a first route published by a cloud enterprise network, and obtaining a plurality of second routes already existing in the instance; converting the address range of the target address corresponding to the first route and each second route into an interval of integers to obtain a first interval corresponding to the first route and a second interval corresponding to each second route; comparing the first interval and the plurality of second intervals according to an interval tree algorithm to obtain a plurality of comparison results, the comparison results representing whether the first interval and each second interval overlap. Thus, the addresses of the routes to be compared can be converted into integer intervals and compared according to the interval tree algorithm, even when the number of routes is large, the comparison can be quickly performed, and the efficiency of the route comparison is improved.

The invention discloses a database comparison method and related device.The database comparison method comprises the steps that firstly, the sequence of fields in a reference database during query and the field mapping relation corresponding to a target database to be compared are obtained, and then the target database to be compared is obtained according to the sequence of the fields in the reference database during query on the basis of the field mapping relation; the method comprises the following steps: determining the sequence of fields corresponding to a target library during query, then correspondingly generating a query statement according to the sequence of the fields during query of a reference library and the sequence of the query fields in the target library, respectively querying data in a reference database and a target database, and comparing the queried data. Therefore, when the data is queried, the standard database and the target database have the consistent field sequence, so that the data consistency of corresponding fields in different databases is ensured, the accuracy of data comparison is effectively improved, the manpower and time cost is saved through the mode, and the efficiency of data comparison is effectively improved.

The application discloses a power system data updating system, method, device and storage medium, and the system comprises a power system database, various standard databases and a cloud server; the various standard databases are used for calling first data objects, constructing a first data object set according to the first data objects, and obtaining standard IDs corresponding to the various first data objects; the power system database is used for calling a second data object set and obtaining standard IDs corresponding to the various second data objects; the cloud server is used for obtaining the standard IDs of the first data objects and the standard IDs of the second data objects, determining target new standard IDs and target deletion standard IDs, and performing data updating on the power system database based on the target new standard IDs and the target deletion standard IDs. The application solves the technical problems of low efficiency and inability to respond to new data updating in a timely and accurate manner in the prior art.

This invention discloses a method and electronic device for analyzing the accuracy of a network model. The method involves acquiring the output data of a target network model deployed on a first processor and a second processor, respectively, preprocessing the output data of the first and second processors to obtain at least one corresponding data pair, and inputting the first and second data from the data pair into a pre-trained data processing model for comparison to determine the data matching result. Based on this data matching result, the accuracy information of the target network model is determined. Therefore, this method can improve the efficiency of whole-network data comparison while simultaneously enabling comparison of the entire network across different processors.

The invention relates to a highly self-defined natural product duplicate removal and annotation method, which comprises the following steps of: 1, fermenting a target strain under different fermentation conditions, and performing data acquisition on fermentation liquor in a high-resolution liquid chromatography-mass spectrometry non-targeted mode; 2, processing the collected original data to obtain a signal feature list only appearing in the strain fermentation liquor; and 3, performing MNA analysis on the obtained signal feature list to obtain annotations and clustering results. According to the method, the annotation efficiency of the high-flux mass spectrum data is improved, time-consuming and labor-consuming repeated labor in the natural product discovery process can be avoided, and the discovery efficiency of novel active natural products is improved.

The invention discloses a line active operation and maintenance management platform and a use method thereof, the line active operation and maintenance management platform comprises an active operation and maintenance management system, the active operation and maintenance management system is in communication connection with a plurality of client terminals, and the client terminals are used for clients to collect line images and add watermarks to generate to-be-uploaded images; the active operation and maintenance management system comprises a terminal management unit, a client management unit and a safety feedback unit. The invention relates to the technical field of line operation and maintenance. According to the line active operation and maintenance management platform and the use method thereof, through the arrangement of the active operation and maintenance management system and the plurality of client terminals, pedestrians are taken as clients to actively photograph and upload abnormal conditions of the line, and the abnormal conditions are found in time in a mode of establishing a three-dimensional simulation model to compare images, so that the operation efficiency of the line is improved. And related knowledge of the power grid is popularized to pedestrians, so that effective filling of a line inspection neutral period is realized, and effective support and guarantee are provided for line operation and maintenance.