131results about How to "Solving Consistency Issues" patented technology

The invention provides a three-dimensional geological modeling parameter optimization method and system based on deep learning, and relates to the field of geological prospecting and modeling.The method comprises the steps that drilling data and remote sensing data of a geological prospecting area are obtained, and multi-source geological data of three-dimensional geological modeling are formed; generating geological profile map data of the geological features according to the drilling data, generating landform profile map data corresponding to the topographic features according to the remote sensing data, and extracting boundary information of the geological exploration area; carrying out gridding processing on a three-dimensional space, dividing a geologic body of the geological exploration area into a plurality of small grid units, and defining geological modeling parameters; the preliminary three-dimensional geological grid model is constructed according to the geological profile map data, the landform contour map data and the boundary information, the size and the resolution of the grid are dynamically adjusted according to the geological change area, the three-dimensional geological model is obtained through optimization and adjustment, the modeling precision is improved, manual intervention is reduced, and computing resources are saved.

The invention discloses an intelligent online learning system and method for multi-device energy consumption optimization, particularly relates to the field of multi-device energy consumption optimization, and is used for solving the problems of energy consumption fluctuation and low operation efficiency caused by non-optimization of a feedback path. Extracting feedback path weights and action chain features, and analyzing a dynamic interaction relationship between devices; clustering analysis and reinforcement learning are combined to optimize classification boundaries, a high-risk feedback mode is marked, an optimization template is generated, and a basis is provided for path adjustment and strategy optimization; by dynamically adjusting the feedback path weight, generating an equipment adjustment instruction and combining with a feedback optimization template, realizing efficient control of equipment cooperative operation; therefore, the negative influence of a high-risk feedback path on operation is effectively inhibited, the energy consumption cumulative effect caused by feedback enhancement between equipment is reduced, the equipment cooperation relation is optimized, and the energy consumption distribution efficiency and the operation stability of the system in a dynamic load environment are improved.

The invention discloses a data processing method for compliance evaluation of data element processing operation, and relates to the technical field of data processing and compliance management, and the method comprises the steps: collecting data elements and regulatory rules, carrying out the preprocessing, building a knowledge graph of the association of the data elements and the regulatory rules based on the preprocessed data elements and regulatory rules, and carrying out the compliance evaluation of the data elements and the regulatory rules. The method comprises the following steps: monitoring data element processing operation in real time, extracting operation meta-information, performing rule matching in combination with a knowledge graph, fusing a rule matching result, the knowledge graph and the operation meta-information to obtain data processing features, constructing a compliance evaluation model by using a machine learning algorithm, inputting the data processing features into the compliance evaluation model, and analyzing potential risks. According to the method, high-risk operation is pre-warned and limited, the compliance evaluation model is optimized according to user feedback, a dynamic compliance evaluation method is formed, and the method has important significance in the field of data processing and compliance management.

The invention discloses a safety cooperative control method of a multi-robot system, and relates to the technical field of robot control. The method comprises the following steps: constructing a multi-mechanical-arm multi-robot system model; setting an end effector of the follower robot in a Cartesian space, and determining a dynamic model of the multi-mechanical-arm multi-robot system; according to the input-driven fuzzy state observer and the kinetic model of the multi-mechanical-arm multi-robot system, a distributed fuzzy observer error is obtained; according to the symbol graph network topology, constructing a bidirectional grouping cooperation error, a bidirectional grouping tracking error and a fuzzy estimation error; a backstepping method is applied to obtain a time-varying Tan type Lyapunov obstacle function; and then determining a distributed formation controller and an adaptive law, and determining a distributed bidirectional cooperative controller of the multi-mechanical-arm multi-robot system. The operation safety of the multi-mechanical-arm multi-robot system in a specific task space range is improved.

The invention relates to the field of live-action three-dimensional modeling, in particular to a ground video stream and unmanned aerial vehicle multi-view image fusion modeling method, which comprises the following steps of: 1, acquiring an aerial image, arranging an image control point, and acquiring a spatial three-dimensional coordinate of the image control point; step 2, processing and modeling the aerial image; 3, extracting marked space points, and exporting space coordinate data; 4, acquiring video stream data, extracting a high-resolution image, and screening image data; 5, taking the spatial point coordinate information as a reference, carrying out aerial triangulation processing on the image model, and obtaining an aerial triangulation result under an absolute reference; step 6, according to the aerial triangulation result, combining the aerial triangulation result of the aerial image with the aerial triangulation result of the video streaming image; and 7, performing model reconstruction based on the combined aerial triangulation result, and mapping textures to obtain a final fused three-dimensional model result. The advantages of the aerial image of the unmanned aerial vehicle and the ground video stream are fused, and the multi-view image data of the target scene can be comprehensively acquired.

The invention belongs to the technical field of electromagnetic signal monitoring and analysis, and particularly relates to a multi-dimensional multi-channel broadband signal monitoring platform and an amplitude phase testing method.The monitoring platform is composed of a plurality of eight-channel receiving single machines, eight receiving single machines serve as a group, and any one of the eight receiving single machines serves as a basic function single machine in each group; a synchronous reference signal is generated through a parallel synchronous reference correction processor built in each functional single machine, and n * 8 parallel signals are received. The amplitude and phase test method comprises a frequency domain amplitude and phase consistency test and a time domain amplitude and phase consistency test. According to the invention, a synchronization reference rule correction processing mechanism and a frequency, amplitude and phase correction module are constructed, so that the technical problems that a long-term stability synchronization test cannot be realized only by adopting a step-by-step single-channel test in a traditional test, radio frequency phase shift introduced by a multi-channel synchronization test is inconsistent with an acquisition time sequence and the like are solved; and the signal parallel receiving and consistency analysis capabilities of 8 * n channels are realized.

The invention relates to an aerosol moisture absorption and activation process observation system and an observation method thereof. The aerosol moisture absorption and activation process observation method comprises the following steps: collecting sample gases under different humidity conditions, and carrying out particle size screening on the sample gases to respectively obtain aerosols with different particle sizes; measuring scattering coefficients of the aerosols with different particle sizes under different humidity conditions; calculating scattering moisture absorption growth factors of the aerosols with different particle sizes according to the scattering coefficients, and performing inversion calculation on the scattering moisture absorption growth factors so as to obtain moisture absorption, water content, volume concentration and surface area concentration of the aerosols; according to the scattering coefficients corresponding to the aerosols with different particle sizes in the environment state, the dry state critical particle sizes of the aerosols with the dry state increased to 1 micrometer and 2.5 micrometers through water vapor condensation and the scattering moisture absorption growth factor of the aerosols with the environment state ranging from 1 micrometer to 2.5 micrometers are calculated in an inversion mode, and the effective supersaturation ratio of the cloud mist is obtained through inversion. And the aerosol moisture absorption and activation process observation system is arranged according to the aerosol moisture absorption and activation process observation method.

The embodiment of the invention discloses a wafer test result generation method and device, electronic equipment and a storage medium, and relates to the technical field of semiconductor chips, and the method comprises the steps: obtaining a plurality of test files generated by carrying out multiple tests on the same wafer; integrating the plurality of test files, and only reserving an optimal test result for a plurality of test results of the same semiconductor chip on the wafer; and obtaining a final test result of the wafer based on the integrated test file. The technical scheme provided by the embodiment of the invention can be suitable for a wafer test scene, and can solve the problems of low wafer test data processing efficiency and inaccurate test result extraction in the prior art.

The invention belongs to the technical field of meat processing, and particularly relates to automatic beef slicing equipment which comprises a rack, a conveyor, a fixing mechanism, a quenching assembly and a cutting structure, a bottom plate is fixedly arranged on the rack, the fixing mechanism comprises a side pressing assembly and a downward pressing assembly, and the bottom plate is fixedly arranged on the conveyor. The rapid cooling assembly is arranged on the fixing mechanism, the rapid cooling assembly is in sliding fit with the vertical sliding groove and the reversing sliding groove, the cutting structure is installed on the rack, the fixing mechanism of the equipment is provided with the side pressing assembly and the downward pressing assembly which can be automatically adjusted according to the width of beef, and the shape of the beef on the bottom plate can be fixed; the beef is driven to move to the cutting structure at a constant speed from the upper part through the conveyor to be sliced, so that the obtained meat slices are small in difference in thickness, size and appearance quality, and the problem that the consistency of finished products is influenced as the meat slices cut in the prior art are different in thickness, size and appearance quality is effectively solved.

The invention relates to the technical field of big data and the technical field of financial science and technology, and discloses a claim knowledge base construction method, which constructs a claim knowledge extraction sub-base by obtaining insurance claim data, analyzing the data by using a big language model, generating a claim dictionary and clause paraphrasing. Analyzing adjustment standards of different insurance types, constructing an adjustment standard sub-library in combination with claim settlement standards and claim payment conditions, obtaining historical claim settlement cases, performing tagging management, constructing a claim settlement case sub-library, and pushing similar cases to form a similar case recommendation sub-library. The expert opinions are used for generating a standard operation process and establishing a standard operation process sub-library. And all the sub-libraries are integrated to form a complete claim knowledge base, and new insurance claim data are regularly acquired to realize dynamic updating of the sub-libraries. Through structured and modularized knowledge integration, intelligence and standardization of the claim settlement process are realized, the claim settlement processing efficiency is remarkably improved, the operation complexity is reduced, the fraud risk is reduced, and the customer experience is improved.

The invention provides a data acquisition component optimization method based on a distributed storage all-in-one machine, a medium and equipment. A distributed lock and version control combined method is adopted. Specifically, the distributed lock mechanism can ensure that only one node performs write operation on certain data at the same moment, so that data conflict and write competition are avoided. In the version control, a version number is added to each piece of data, so that the system can detect and solve conflicts occurring in the data synchronization process. When one node prepares to write data, whether the version number of the data is consistent with the latest version or not is checked firstly, if not, the data of the latest version needs to be acquired again, and the data is written after being merged and changed. Therefore, the data consistency is ensured, and the stability and reliability of the system are improved. Through the method, the problem of data consistency in the optimization process of the data acquisition component can be effectively solved, so that the overall performance of the distributed storage all-in-one machine is improved.

The invention discloses a visibility prediction method and system, and the method employs a dynamic window division and abnormal value processing technology based on data variability, solves a problem that meteorological data abnormal values are difficult to accurately recognize, achieves the precise recognition and processing of the abnormal values, and improves the data quality. By adopting the missing value interpolation method based on the weighted distance, the problem that the missing value of the meteorological data is difficult to fill is solved, the accurate interpolation of the missing value is realized, and the integrity and the reliability of the data are enhanced. According to the method, a dynamic normalization processing method is adopted, the problems of different scales of meteorological factor data and local characteristic differences are solved, adaptive normalization of the meteorological factor data is achieved, important fluctuation information is reserved, and the sensitivity of a model to data details is improved.

The invention provides a method for evaluating the permeation enhancing effect of ultrasonic wave acting on a porous medium, which comprises the following steps: carrying out first NMR test on a dried, vacuumized and saturated sample to obtain a first saturated water T2 spectrum of the sample, and analyzing related parameters of the sample through the first saturated water T2 spectrum; performing a first ultrasonic permeation enhancing effect on the sample subjected to the first NMR test through ultrasonic waves, and performing a second NMR test on the sample every set time in the process to obtain a second saturated water T2 spectrum; after each second NMR test is finished, the sample is vacuumized again for water saturation, and the sample which is vacuumized again for water saturation is subjected to a third NMR test to obtain a third water saturation T2 spectrum; related parameters of the medium after the ultrasonic action at different time points are calculated through the third water saturation T2 spectrum, and the intensity of the ultrasonic cavitation effect is calculated according to the second water saturation T2 spectrum and the third water saturation T2 spectrum; and evaluating the permeation enhancing effect of the ultrasonic waves through the previous and later related parameters. According to the method, the ultrasonic cavitation intensity and the permeation increasing effect can be evaluated at the same time.

The invention discloses a method and device for testing the sliding friction coefficient of rock under the true triaxial stress condition, and belongs to the field of rock parameter tests.The method comprises the steps that a rock cube to be tested is cut into two parts along the diagonal line, and rock powder of the same texture is smeared on the diagonal planes of the two cut rocks; the two parts of rocks coated with the rock powder are attached together along the diagonal planes of the rocks, and confining pressure is applied to the two opposite directions of the attached to-be-measured rock cube respectively till the confining pressure reaches the corresponding preset value; applying an axial pressure to the attached to-be-tested rock cube at a constant loading speed until the change of the axial pressure tends to zero; and calculating the sliding friction coefficient of the rock cube to be measured according to the final stable value of the axial pressure. The method can test and simulate the rock friction coefficient of a real stratum under the three-dimensional ground stress condition, and the accuracy of a test result is improved.

The invention discloses a gateway and a data transmission method, relates to the technical field of communication, and can reduce networking complexity and networking cost. The gateway comprises at least two Ethernet interfaces supporting at least two industrial Ethernet protocols, an Ethernet real-time processing core and a first module, each Ethernet interface is used for receiving a message from field equipment and sending the message to the Ethernet real-time processing core; the Ethernet real-time processing core is used for receiving a message from the Ethernet interface and sending the message to the first module; and the first module is used for receiving the message from the Ethernet real-time processing core and sending the message to the control equipment. Wherein the industrial Ethernet protocol supported by the field device associated with the Ethernet interface is the same as the industrial Ethernet protocol supported by the Ethernet interface.

The invention relates to unified data backup and disaster recovery equipment, in particular to the field of data security, and specifically comprises a data backup module, a disaster recovery module and a recovery verification module, the data backup module is used for carrying out data fragmentation on data needing to be backed up, then carrying out Hash processing on each data block by utilizing a Hash function, distributing each data fragment to a plurality of backup nodes, registering a Hash value of the data fragment on a block chain by the backup nodes, and storing the Hash value on the corresponding backup node; in the storage process, a smart contract is utilized to manage data backup operation according to a preset rule, and by utilizing the characteristics of decentralization and non-tampering provided by a block chain technology, security guarantee of data backup can be realized in backup and disaster recovery, the problems of security and consistency of traditional centralized backup are solved, and data backup efficiency is improved. And through a block chain technology, distributed storage of the data can be realized, and it is ensured that the data is not tampered in a backup process.

The invention discloses a multi-modal emotion recognition system based on global-local space-time semantic alignment, and the system comprises the steps: dividing a multi-modal physiological signal into a plurality of single-modal physiological signals, and then dividing all the single-modal physiological signals into a plurality of batches; obtaining the maximum sequence length of the feature sequence of the single-mode physiological signal fragment in each batch, and by taking the maximum sequence length in each batch as a reference value, supplementing the sequence length of the single-mode physiological signal fragment in each batch to the maximum sequence length, therefore, the lengths of the feature sequences of the single-mode physiological signal fragments in each batch are the same, and the problems that the lengths of the physiological signal data are inconsistent and key information is lost are solved; according to the method, the local time semantic alignment module is provided to align each mode in the time dimension, so that the interpretability and robustness of the model are enhanced; according to the method, the semantic information of each mode is aligned in the spatial dimension, so that the emotion recognition process is optimized.

The invention provides a continuous bomb dropping device and a continuous water entry test device and method for a bomb body in a decompression environment, and belongs to the technical field of cross-medium water entry test devices. In the continuous bomb dropping device, a moving sliding table is fixedly arranged on a support, a bomb body releasing structure comprises a supporting shell, a rotating wheel and a driving piece, the supporting shell is connected with the moving sliding table, the moving sliding table can drive the bomb body releasing structure to move in the vertical direction, the rotating wheel is rotationally arranged on the supporting shell, and the driving piece is fixedly arranged on the supporting shell and connected with the rotating wheel. The driving part can drive the rotating wheel to rotate, the rotating wheel is provided with a plurality of projectile body containing cavities, the multiple projectile body containing cavities are arranged at intervals in the circumferential direction of the rotating wheel, a projectile outlet is formed in the lower portion of the supporting shell, and the projectile outlet is configured in the mode that when the projectile body containing cavities communicate with the projectile outlet, projectile bodies in the projectile body containing cavities are separated from the projectile body containing cavities and penetrate through the projectile outlet. And after one-time pressure reduction is conducted on the pressure reduction tank, continuous controllable release of the multiple projectile bodies entering water is achieved.

The invention discloses a biological safety cabinet quality detection system and a method thereof, belongs to the technical field of detection, comprises a detection device and an upper computer, solves the technical problems of dynamically analyzing the flow consistency of a main air duct and a branch air duct and providing accurate information of global suction air flow distribution of the system, ensures the accuracy of flow data, and improves the detection efficiency. The adaptability and data stability of the system under different environmental conditions are remarkably improved, data log generation, alarm prompt and analysis result display are supported, it is ensured that accurate information of global flow distribution of the system is obtained, meanwhile, rapid alarm of abnormal flow distribution is achieved, and turbine rotating speed and liquid flow data are combined.

The invention discloses a guider blade polishing and supporting device, which belongs to the technical field of precision casting production, and comprises a workbench, the bottom end of a supporting rod assembly is hinged with the workbench, and the top end of the supporting rod assembly is hinged with a mounting piece; the limiting piece is used for penetrating through the supporting rod assembly and limiting the supporting rod assembly so as to limit the supporting rod assembly to rotate around a hinge point on the workbench. The push rod assemblies are arranged on the mounting part in an annular array mode, the first ends of the push rod assemblies are connected with the clamping part, and the clamping part is used for abutting against and pressing an inner hole of the guider. The profiling tool is used for being clamped into a blade gap of the guider and serves as a grinding reference. The profiling tool is clamped between the adjacent blades of the guider to serve as a grinding reference, the problems that in the grinding and finishing process of the blades of the guider, the size is out of tolerance and the consistency is poor are solved, meanwhile, the guider can be stably supported, and multi-directional position adjustment can be conveniently conducted.

The invention relates to the technical field of anti-fraud early warning, and discloses a cross-industry anti-fraud early warning method and system based on big data, and the method comprises the following steps: collecting first comprehensive information and logistics information of n continuous time points including a current time point and a previous time point; generating first two-dimensional structure data based on the first comprehensive information, and generating second two-dimensional structure data based on the logistics information; inputting the collected first comprehensive information into a risk assessment model, and outputting a risk assessment report; and the judgment result is decoded and notified to consumers and related supervision departments. The system has the beneficial effects that the logistics information of each logistics company of a plurality of countries is re-integrated, and then anti-fraud early warning is performed through the integrated information, so that the problems of data diversity and consistency caused by multi-channel logistics tracking and transportation delay are solved, and real-time monitoring and anomaly detection of the logistics state are ensured.

Embodiments of the present application relate to the field of automatic programming, and disclose a data synchronization method and device, electronic equipment and a storage medium. The method comprises: receiving a synchronization instruction input by a user for data synchronization, and generating a data replication message; sending the data replication message to a data synchronization service, and determining whether the data synchronization service receives the data replication message to obtain a first determination result; when the first determination result is that the data synchronization service receives the data replication message, the data synchronization service calls a data replication service; the data replication message is parsed through the data replication service, and each change data in the data replication message is synchronized to each copy database. The technical scheme of the embodiments of the present application solves the technical problems of poor real-time performance and data inconsistency in the data synchronization method in the prior art, and realizes the technical problems of improving the real-time performance of data synchronization and avoiding data inconsistency.

The application discloses a flight control oriented OTA upgrading method, system, device, computer readable storage medium and program product, belongs to the field of computer science and technology, and aims to solve the problems of insufficient safety of an existing upgrading process, unreliable data transmission and weak batch management capability for a heterogeneous architecture. The method establishes a first connection, sends a start request frame containing a specific identification code and an inverse code, sets an upgrading flag and resets the flight control, and disconnects the connection. After resetting, a second connection is established, firmware is transmitted and written, an end request frame with the same frame structure is sent, the flight control is finally reset and starts new firmware, and the connection is disconnected. The frame structure containing the identification code and the inverse code, the instruction code and the check code enhances the communication reliability and the anti-interference capability. The stage resetting and the flag mechanism ensure that the upgrading process is controllable and recoverable, avoids firmware damage or startup failure, and improves the safety and stability of the flight control system remote upgrading.

This invention relates to the fields of wireless communication and speech recognition technology, specifically to a wireless train dispatching multi-service communication method based on speech recognition. The method includes: acquiring speech and extracting Mel-frequency cepstral coefficients and short-time energy features; identifying target speech content and generating a candidate control word set; performing multi-service scheduling on the candidate control word set based on the initial packet loss rate and initial noise level; acquiring the original audio frame and obtaining frequency offset compensation values ​​and noise reduction parameters through windowing and fast Fourier transform; determining the candidate packet loss rate based on the communication status of the wireless communication module; and controlling the audio acquisition module to obtain the candidate noise level according to the candidate control words; outputting the result when the difference between the candidate packet loss rate and the initial packet loss rate is less than a first preset threshold and the difference between the candidate noise level and the initial noise level is less than a second preset threshold. This invention can realize speech recognition scheduling and feedback adjustment for train dispatching multi-service communication.

The present application discloses a system for intelligent question-answering and learning for scientific researchers, and relates to the field of intelligent question-answering technology; the intelligent learning module can more accurately determine the research field to which the scientific research question belongs and find the scientific researcher end related thereto by matching the fields and keywords of the scientific research questions and calculating the correlation; at the same time, by accumulating monitoring of the scientific research capabilities of the scientific researchers and evaluating the professional index of the scientific researchers end for specific scientific research questions, it can objectively reflect the professionalism of the scientific researchers on the scientific research questions, and help the system to more accurately push the scientific research questions to the relevant final selection ends, thereby improving the correctness and efficiency of problem solving; after the question-answering output module receives the output instruction sent by the intelligent learning module, it sorts the target answers according to their confidence levels and sends them to the question-asking end of the scientific research questions, thereby ensuring that the scientific researchers obtain the most likely accurate answers and improving the credibility and reliability of the answers.

The invention relates to the technical field of medical systems, in particular to a cardiovascular operation nursing intelligent shift change system and an implementation method thereof, comprising a receiving end, an information sending end, an output end, an information acquisition end, an electronic signature end and a management end; the identity information and the state of a patient are confirmed through the output end, the two-dimensional code generator, the second recognition device and the first recognition device, so that the first patient information and the second patient information are confirmed, and the behaviors that the first patient information and the second patient information are manually filled in to be inconsistent and manually modified when a doctor receives the patient are avoided; the output end confirms the information of the medical instruments, omission of the instruments is avoided, omission of the instruments in an operation is avoided, influence on the operation quality is avoided, and economic loss is avoided; the state data of the second patient is acquired through the information acquisition end, so that the second patient is confirmed and matched with the actual illness state, the state of the patient during receiving is ensured, and the safety of the patient is ensured.

The invention discloses a mixer intelligent control method based on emulsified asphalt mixture material properties, which is characterized in that a hydraulic motor for driving a mixer is provided with a sensor assembly, and the sensor assembly comprises a torque sensor, a rotating speed sensor, a temperature sensor, a particle size sensor and a selective resistance sensor; a sensor collects signals, a convolutional neural network carries out data processing, feature extraction, deep learning generation of an adversarial network, online abnormity monitoring and fault diagnosis and prediction to form global features, the global features are sent to a controller and a human-computer interface for intervention, and the operation parameters of the mixer are adjusted in real time. According to the invention, the problems of inconsistency and easy instability of power response characteristics at different working points are solved, and the power control precision is improved; according to the invention, automatic power adjustment of the mixer is ensured, and the road mixing and paving construction quality is greatly improved; the problem that the emulsified asphalt mixture is easy to block in the mixing process is solved.

This invention discloses a two-branch image dehazing method based on edge constraints, comprising the following steps: Step 1: Constructing an image dehazing dataset; Step 2: Obtaining edge maps of the images using the Canny edge detection operator, and constructing a training sample using the edge maps, corresponding fog maps, and clear maps; Step 3: Randomly segmenting the images in the training samples as input to the network, and using data augmentation methods to expand the sample size; Step 4: Constructing a two-branch dehazing network based on edge constraints, including a dehazing subnetwork and an edge subnetwork; Step 5: Initializing network parameters and constructing a target loss function to optimize the parameters of the two-branch dehazing network; Step 6: Using the trained model to dehaze the test fog map to obtain a clear, fog-free image. This invention can utilize edge constraints to recover clear, fog-free images, solving the problem of lost spatial details and semantic inconsistencies in the repaired images during image dehazing tasks.

The present invention discloses a method for quality acceptance of urban drainage pipeline inspection results, including the steps of preparing a self-inspection report after the inspection unit completes the initial inspection of the digital management system of the pipe network, and after the inspection unit completes the initial inspection of the digital management system of the pipe network, and passes the initial inspection, and then applying for acceptance, and conducting internal and external inspections. The present invention can standardize the acceptance procedures of drainage pipeline detection, special culvert detection, drainage pipeline detection and evaluation, drainage outlet investigation, rainwater and sewage mixed connection investigation, plot investigation and other work of urban water environment comprehensive treatment projects, unify the acceptance requirements, ensure the quality of the results, provide accurate underground pipeline status data for the planning, design, construction and other aspects of water environment comprehensive treatment projects, ensure the implementation effect of water environment comprehensive treatment work, and solve the problem that the acceptance quality of urban underground pipeline inspection results of water environment comprehensive treatment projects in the prior art is inconsistent with the on-site construction quality due to the lack of acceptance basis.

The invention discloses a digital economic data acquisition system and method based on 5G communication, and relates to the technical field of electronic digital data processing. The digital economic data acquisition system and method based on 5G communication comprises the following steps: S1, collecting digital economic related data; s2, preprocessing the digital economic related data stored in the database by using an automatic detection tool; s3, performing data standardization processing on the to-be-detected digital economic related data according to the data standardization detection value; S4, performing data fusion on the to-be-fused economic related data by using an Apache Kafka technology, and storing the to-be-fused digital economic related data after data stream integration by using a data lake technology of Apache Hadoop and Amazon S3; and S5, making corresponding optimization processing measures according to the data fusion detection value. The problem that in a traditional digital economic data acquisition system based on 5G communication, data is difficult to fuse due to diversity of data sources and heterogeneity of data formats and types is solved.