A method and device for multi-terminal synchronous processing of measurement data

Abstract

The present invention discloses a multi-terminal synchronous processing method and device for measurement data, and relates to the technical field of drawing data processing. The method comprises: constructing a data synchronization chain among multiple interconnected PDF viewing terminals, receiving and dividing the measurement data sets uploaded by each viewing terminal, and generating regional measurement data sets according to multiple measurement areas of the drawing; performing scale accuracy analysis on these regional data, and selecting the regional data with the highest accuracy as synchronization data; optimizing the synchronization scheme according to the operating range of different PDF viewing terminals, and finally synchronizing the optimized measurement data to each PDF viewing terminal to complete the synchronization processing. The method solves the technical problems of inconsistent data accuracy and inability to effectively synchronize when multiple PDF viewing terminals use different scales for measurement in the prior art, and achieves the technical effect of improving data consistency and accuracy, and avoiding data inconsistency problems caused by errors in different measurement areas.

Description

Technical Field

[0001] The present application relates to the technical field of drawing data processing, and in particular to a method and device for multi-terminal synchronous processing of measurement data. Background Art

[0002] In the current engineering construction scenario, different construction departments have an increasing demand for measuring and operating the same drawing. Accurate data synchronization is particularly important, especially when it involves collaborative work among multiple professionals. However, the existing measurement data processing methods are usually scattered and independent, relying on the independent scales and measurement methods of each department, making it difficult to uniformly calibrate the scale and integrate data for the entire construction process. The lack of unified analysis and optimization of measurement data among departments can easily lead to errors between measurement results, which in turn affects the overall progress and quality of construction. In addition, there is a lack of reasonable data synchronization solution optimization for the scope of work of different departments, resulting in overly complex or redundant data, which increases the complexity of system processing and makes it difficult to meet the needs of efficient collaboration among multiple departments. Therefore, how to build a reasonable data synchronization chain and optimize data selection and allocation has become a key issue in improving construction accuracy and collaboration efficiency.

[0003] In the current related technologies, there are technical problems such as inconsistent data accuracy and inability to effectively synchronize when multiple PDF viewers use different scales for measurement. Summary of the invention

[0004] The present application provides a multi-terminal synchronous processing method and device for measurement data, which constructs a data synchronization chain among multiple interconnected PDF viewing terminals, receives and divides the measurement data sets uploaded by each viewing terminal, and generates regional measurement data sets according to multiple measurement areas of the drawing; performs scale accuracy analysis on these regional data, and selects the regional data with the highest accuracy as synchronization data; optimizes the synchronization scheme according to the operating scope of different PDF viewing terminals, and finally synchronizes the optimized measurement data to each PDF viewing terminal to complete the synchronization processing, thereby achieving the technical effect of improving the consistency and accuracy of data and avoiding the data inconsistency problem caused by errors in different measurement areas by performing scale accuracy analysis and synchronous optimization on the measurement data of multiple PDF viewing terminals.

[0005] The present application provides a method for multi-terminal synchronous processing of measurement data, comprising:

[0006] In a plurality of interconnected PDF viewers, a data synchronization chain is constructed to receive a plurality of measurement data sets uploaded by the plurality of PDF viewers after measuring the same designated drawing, and to obtain a plurality of regional measurement data sets according to a plurality of measurement areas in the designated drawing; measurement scale accuracy analysis is performed on the plurality of regional measurement data sets to obtain a plurality of regional measurement accuracy parameter sets, and regional measurement data with the largest regional measurement accuracy parameters are respectively selected to obtain a plurality of synchronized regional measurement data, wherein measurement scale accuracy analysis is performed on the plurality of measurement areas on the plurality of PDF viewers; the operation ranges of the plurality of PDF viewers are obtained, and synchronization schemes are respectively optimized for the plurality of synchronized regional measurement data to obtain a plurality of synchronization schemes; the measurement data in the plurality of synchronization schemes are synchronized to the plurality of PDF viewers to complete synchronization processing.

[0007] The present application also provides a multi-terminal synchronous processing device for measurement data, comprising:

[0008] A data synchronization chain construction module, the data synchronization chain construction module is used to construct a data synchronization chain among multiple interconnected PDF viewing terminals, receive multiple measurement data sets uploaded by the multiple PDF viewing terminals after measuring the same designated drawing, and obtain multiple regional measurement data sets according to multiple measurement areas in the designated drawing; a synchronization area measurement data acquisition module, the synchronization area measurement data acquisition module is used to perform measurement scale accuracy analysis on the multiple regional measurement data sets, obtain multiple regional measurement accuracy parameter sets, respectively select regional measurement data with the largest regional measurement accuracy parameters, and obtain multiple synchronization area measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewing terminals; a synchronization scheme acquisition module, the synchronization scheme acquisition module is used to obtain the operating range of the multiple PDF viewing terminals, and respectively optimize the synchronization schemes for the multiple synchronization area measurement data to obtain multiple synchronization schemes; a synchronization processing module, the synchronization processing module is used to synchronize the measurement data in the multiple synchronization schemes to the multiple PDF viewing terminals to complete the synchronization processing.

[0009] A multi-terminal synchronous processing method and device for measurement data proposed in the present application first constructs a data synchronization chain among multiple interconnected PDF viewing terminals, receives and divides the measurement data sets uploaded by each viewing terminal, and generates regional measurement data sets according to multiple measurement areas of the drawing; performs scale accuracy analysis on these regional data, and selects the regional data with the highest accuracy as the synchronization data; optimizes the synchronization scheme according to the operating scope of different PDF viewing terminals, and finally synchronizes the optimized measurement data to each PDF viewing terminal to complete the synchronization processing. By performing scale accuracy analysis and synchronous optimization on the measurement data of multiple PDF viewing terminals, the consistency and accuracy of the data are improved, and the technical effect of avoiding the data inconsistency problem caused by errors in different measurement areas is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0011] Figure 1 A flowchart of a multi-terminal synchronous processing method for measurement data provided in an embodiment of the present application;

[0012] Figure 2 A schematic diagram of the structure of a multi-terminal synchronous processing device for measurement data provided in an embodiment of the present application.

[0013] Description of reference numerals: data synchronization chain construction module 10 , synchronization area measurement data acquisition module 20 , synchronization scheme acquisition module 30 , synchronization processing module 40 . DETAILED DESCRIPTION

[0014] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0015] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0016] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0017] The present application embodiment provides a method for multi-terminal synchronous processing of measurement data, such as Figure 1 As shown, the method includes:

[0018] Step S100, in the interconnected multiple PDF viewer terminals, a data synchronization chain is constructed, multiple measurement data sets uploaded by the multiple PDF viewer terminals after measuring the same specified drawing are received, and multiple regional measurement data sets are obtained according to the multiple measurement areas in the specified drawing. Specifically, the multiple participating PDF viewer terminals are first identified and registered, a unique identification number is assigned and basic information is recorded, and the Wi-Fi direct connection, LAN networking or cloud service connection mode are used to network, and network security protocols and monitoring systems are set. A data synchronization chain framework is constructed on the basis of the connection, the synchronization direction, frequency and rules are determined, and a data synchronization plug-in or application is installed. When different construction departments upload data according to the format and protocol after measurement, the receiving end monitors in real time and uses breakpoint continuation technology to ensure the upload, performs integrity verification when receiving, and retransmits if it is incomplete. According to the measurement area information in the drawing, image recognition and coordinate positioning algorithms are used to classify and divide the data, process fuzzy or overlapping areas, integrate data and perform standardized processing, form multiple regional measurement data sets, construct a data synchronization chain and provide a basis for subsequent processing.

[0019] In a possible implementation, a data synchronization chain is constructed among multiple interconnected PDF viewer terminals, multiple measurement data sets uploaded by the multiple PDF viewer terminals after measuring the same designated drawing are received, and multiple regional measurement data sets are obtained by dividing according to multiple measurement areas in the designated drawing. Step S100 further includes step S110, in which multiple PDF viewer nodes are constructed among multiple interconnected PDF viewer terminals. Specifically, for each interconnected PDF viewer terminal, a corresponding PDF viewer node is created, and a unique identifier is assigned to each node, such as by using digital coding, a combination of letters and numbers, or a unique identifier generated based on device hardware information, etc., to record detailed information related to the node, including the device model, operating system version, installed PDF viewer software version, and IP address of the network where the PDF viewer terminal is located. The information will be helpful for subsequent data transmission management and troubleshooting. For example, if a problem occurs during data transmission, the source of the problem related to the device type or software version that may cause the failure can be quickly located based on the node information, and initialization settings are performed after the node is created. Configure the communication parameters of the node, such as port number, data transmission protocol, etc., set the node's data cache size and data processing priority and other parameters. For example, for the PDF viewing nodes corresponding to some important construction departments, you can set a higher data processing priority to ensure that their measurement data can be transmitted and processed in a timely manner, and set security settings for the nodes, including setting access passwords, data encryption keys, etc., to ensure the security of data transmission between nodes.

[0020] Step S120, collecting the drawing data synchronized by the multiple PDF viewing terminals in historical time, combining the multiple PDF viewing nodes, and building a data synchronization chain. Specifically, drawing data synchronized in historical time are collected from multiple PDF viewers, and the collected drawing data are classified and sorted according to the type, version, project and other attributes of the drawings. At the same time, key feature information of the drawing data, such as size specifications, scale information, annotation information, etc. of the drawings, is extracted, and the data is cleaned to remove duplicate, erroneous or incomplete data records to ensure that the data used to build the data synchronization chain is accurate and reliable. For example, duplicate drawing data is identified and deleted through a data comparison algorithm, and erroneous data is checked and corrected through a verification algorithm. The sorted historical drawing data is combined with multiple PDF viewing nodes created previously, and a data link construction algorithm is used to establish a data synchronization chain based on factors such as the network connection relationship between nodes, the data transmission frequency requirements, and the association relationship of the drawing data. During the construction process, trigger conditions for data synchronization are set. For example, synchronization can be triggered based on time intervals, changes in data volume, or user operations, and the data transmission path on the chain and the data interaction rules between nodes are determined to ensure that data can be efficiently and accurately transmitted synchronously between multiple PDF viewers.

[0021] Step S130, based on the data synchronization chain, receiving multiple measurement data sets uploaded by the multiple PDF viewers after measuring the same designated drawing, wherein the designated drawing includes multiple measurement areas. Specifically, based on the constructed data synchronization chain, when multiple PDF viewers measure the same designated drawing and upload measurement data sets, the receiving end receives the data according to a pre-set data receiving protocol. During the receiving process, the data is verified in real time, including the correctness of the data format, the data integrity, and the legitimacy of the data source. For example, by checking the data packet header information to determine whether the data format complies with the specification, by calculating the data checksum to verify the data integrity, and by verifying whether the data source is an authorized PDF viewer through the node identifier.

[0022] Step S140, dividing the multiple measurement data sets according to the multiple measurement areas to obtain multiple regional measurement data sets. Specifically, according to the multiple measurement area information pre-defined in the specified drawing, a data classification algorithm is used to divide the received multiple measurement data sets, and the coordinate system of the drawing and the coordinate information of the measurement data are used to accurately match the measurement data to the corresponding measurement area. For some measurement data with fuzzy boundaries or across regions, intelligent algorithms are used to analyze and split them to ensure that each measurement data can be accurately divided into the corresponding area, and finally multiple regional measurement data sets are formed to provide a basis for subsequent data processing and analysis.

[0023] Step S200, performing measurement scale accuracy analysis on the multiple regional measurement data sets, obtaining multiple regional measurement accuracy parameter sets, selecting the regional measurement data with the largest regional measurement accuracy parameter respectively, obtaining multiple synchronous regional measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewer terminals. Specifically, the formats and units of the data in the multiple regional measurement data sets are first standardized, the units such as length and angle are unified and the data accuracy is standardized, then the abnormal values ​​and erroneous data in the data are checked, the range and logical rules are set for screening, and the data that exceeds the range or does not conform to logic is deleted or corrected after verification. An authoritative measurement standard is selected as a reference benchmark, and a reference standard value is determined for each measurement area. Then, the measurement scale accuracy parameter is calculated for each measurement area and the PDF viewer measurement data, and the accuracy parameter of each PDF viewer in each measurement area is obtained by comparing with the reference standard value, using a relative error calculation formula, etc., and the importance weight distribution coefficient of different regions is considered. After obtaining multiple regional measurement accuracy parameter sets, sort the accuracy parameters of each measurement area, select the measurement data corresponding to the largest parameter as the synchronization area measurement data of the area, integrate these data and mark the source and regional information, and perform a rationality check again to ensure that the data is accurate for subsequent synchronization processes.

[0024] In one possible implementation, a measurement scale accuracy analysis is performed on the multiple regional measurement data sets to obtain multiple regional measurement accuracy parameter sets, and the regional measurement data with the largest regional measurement accuracy parameters are respectively selected to obtain multiple synchronized regional measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewers, and step S200 further includes step S210, collecting multiple first historical drawing measurement data of the multiple measurement areas by a first PDF viewer among the multiple PDF viewers, performing a measurement scale accuracy analysis, and obtaining a first regional measurement accuracy parameter set. Specifically, from multiple historical drawings, multiple first historical drawing measurement data recorded after the first PDF viewer measures multiple measurement areas are screened out, and the data are classified and organized according to dimensions such as measurement area and measurement time. For example, the measurement data sets of the same measurement area at different time points are stored in a centralized manner to facilitate subsequent analysis of data change trends. At the same time, the integrity of the data is checked. If there are missing values, reasonable interpolation methods are used to fill them according to the correlation of the data and the measurement rules, such as linear interpolation or a filling method based on the mean of historical data to ensure the consistency and availability of the data. For the historical measurement data of each measurement area, a measurement scale accuracy analysis is performed. First, a measurement standard model is established, and the accurate measurement value range is determined by referring to industry standards, original drawing annotation information, or precisely calibrated measurement data. Then the measurement data of the first PDF viewer is compared with the standard model to calculate the error value. For example, the deviation of the measurement data is quantified by calculating the absolute error (the absolute value of the difference between the measurement value and the standard value) and the relative error (the ratio of the absolute error to the standard value). The statistical analysis method is used to combine the error conditions of multiple measurement data points to calculate the parameters that can reflect the measurement accuracy of the measurement area, such as the error mean, variance, etc., and then combine to form the first area measurement accuracy parameter set. These parameters can reflect the measurement stability and accuracy level of the first PDF viewer in each measurement area from different angles.

[0025] Step S220, based on the historical drawing measurement data of the other multiple PDF viewer terminals, the measurement scale accuracy analysis is performed to obtain multiple regional measurement accuracy parameter sets. Specifically, for the other multiple PDF viewer terminals except the first PDF viewer terminal, their respective historical drawing measurement data are collected in the same way and preprocessed. The preprocessing process includes operations such as data format conversion, dimension unification, and outlier removal. For example, for some outliers that are obviously inconsistent with the actual situation or have too large differences with other data, they are identified and eliminated by methods based on statistical principles (such as the 3σ principle) to ensure that the data used for analysis are reasonable and reliable. A method similar to the analysis of the first PDF viewer terminal data is used to perform accuracy analysis on the historical measurement data of each measurement area and each PDF viewer terminal. According to the characteristics and importance of the measurement area, corresponding weight coefficients are set for different measurement areas. The weight factor is considered when calculating the accuracy parameter to make the calculation result more in line with the actual application requirements. Through detailed error calculation and statistical analysis, the measurement accuracy parameter set of each PDF viewer terminal for each measurement area is obtained, and multiple regional measurement accuracy parameter sets are formed in combination. The parameter set fully reflects the measurement level and difference of different PDF viewers in each measurement area.

[0026] Step S230, respectively select the regional measurement data corresponding to the maximum regional measurement accuracy parameter from the multiple regional measurement accuracy parameter sets and the multiple measurement data sets, and obtain multiple synchronized regional measurement data of the multiple measurement areas. Specifically, the multiple regional measurement accuracy parameter sets are analyzed one by one, the maximum regional measurement accuracy parameter is found in the parameter set corresponding to each area, and then the corresponding measurement data set is found according to the parameter, and the corresponding regional measurement data is screened out from the data set. It is necessary to establish an accurate association mapping relationship between the parameters and the data to ensure that the optimal data can be accurately found. For example, the correspondence between the parameters and the data is achieved through the association fields or data tags of the database table, and the regional measurement data corresponding to the maximum accuracy parameters screened out from each measurement area are aggregated and integrated to form multiple synchronized regional measurement data. The data are reviewed and confirmed again to check the consistency and integrity of the data. For example, the adjacent measurement area data are compared to see whether they conform to the logical relationship at the boundary, and the format and unit of the data are finally uniformly checked to ensure that the selected data can be accurately used for subsequent synchronization operations and applications.

[0027] In a possible implementation, measurement data of a plurality of first historical drawings of the plurality of measurement areas by a first PDF viewer among the plurality of PDF viewers are collected, measurement scale accuracy analysis is performed, and a first area measurement accuracy parameter set is obtained. Step S210 further includes step S211, collecting a plurality of first historical drawing measurement data sets of the plurality of measurement areas measured by the first PDF viewer among the plurality of PDF viewers. Specifically, in the storage system of the first PDF viewer, historical drawing measurement data records related to multiple measurement areas are searched, and screening is performed according to information such as the drawing identification, measurement date range, and keywords of the measurement area to extract multiple first historical drawing measurement data sets. In the case of inconsistent data storage formats, data conversion tools or programming are used to unify the format to ensure that the data can be accurately read and analyzed. For example, if part of the data is stored in text format and part is stored in a specific database format, it is uniformly converted into an easy-to-process table format, including field information such as measurement value, measurement area identification, and measurement time. The extracted data set is preliminarily verified to check the rationality and completeness of the data. By setting the data threshold range, for example, a reasonable value range is determined according to the physical characteristics of the measurement object and the actual application scenario, and data that is obviously out of the range is eliminated. At the same time, it is checked whether there is missing key information in the data set, such as missing measurement area identification, etc. If there is any missing, it is supplemented by querying relevant records or comparing with the original drawing.

[0028] Step S212, obtaining multiple first historical measurement accuracy parameter sets after field testing of the multiple first historical drawing measurement data sets. Specifically, according to the measurement area and measurement object involved in the first historical drawing measurement data set, a field test plan is formulated, and accurate measurement instruments, such as laser rangefinders, high-precision total stations, etc., are prepared, and it is ensured that the instruments are calibrated and the accuracy meets the requirements, and the points and sequence of the field test are determined to correspond to the points in the historical measurement data for accurate comparison and analysis. After the field measurement, the field measurement values ​​are compared one by one with the measurement values ​​in the first historical drawing measurement data set. For each measurement data point, the error value is calculated, such as the absolute error (the absolute value of the field measurement value minus the historical measurement value) and the relative error (the absolute error divided by the field measurement value). According to different types of measurement data (such as length, angle, area, etc.) and measurement accuracy requirements, different error calculation methods and allowable error ranges are set. According to the calculated error value, the measurement accuracy parameter of each measurement data point is determined, and multiple data points are combined to form multiple first historical measurement accuracy parameter sets.

[0029] Step S213, based on the multiple first historical measurement accuracy parameter sets, multiple first average measurement accuracy parameters are calculated and obtained, and multiple first measurement accuracy stability parameters are calculated and analyzed, and the multiple first average measurement accuracy parameters are corrected to obtain multiple first regional measurement accuracy parameters as the first regional measurement accuracy parameter set. Specifically, statistical analysis is performed on each parameter set in the multiple first historical measurement accuracy parameter sets, and the average value is calculated. The parameters in each parameter set are added and then divided by the number of parameters to obtain multiple first average measurement accuracy parameters. During the calculation process, attention is paid to the influence of abnormal values ​​on the average value. For abnormal values ​​with large deviations, they are verified and processed again. If they are confirmed to be erroneous data, they are removed from the calculation. The discrete degree of the parameters in each first historical measurement accuracy parameter set is calculated to evaluate the measurement accuracy stability. For example, the maximum deviation in the parameter set (i.e., the difference between the maximum value and the minimum value in the parameter set) is calculated, and then the maximum deviation mean of multiple parameter sets is calculated. The ratio of the maximum deviation mean of each parameter set to each maximum deviation is calculated respectively as multiple first measurement accuracy stability parameters. The larger the ratio, the more accurate the parameter. The worse the measurement stability corresponding to the data set, the first average measurement accuracy parameter is corrected according to the measurement accuracy stability parameter. A larger correction weight is given to the average measurement accuracy parameter corresponding to the measurement area with poor stability to reduce the impact of unstable measurement data on the final accuracy parameter. Through a specific correction algorithm formula (such as weighted correction method), the stability parameter and the average parameter are calculated to obtain multiple corrected first area measurement accuracy parameters, which are combined to form a first area measurement accuracy parameter set. The obtained parameter set comprehensively considers the measurement accuracy and stability, improves the reliability and rationality of the parameters, and provides more accurate basic data for subsequent data comparison and analysis with other PDF viewers. Other PDF viewers perform analysis and processing according to the same process and method.

[0030] In one possible implementation, based on the multiple first historical measurement accuracy parameter sets, multiple first average measurement accuracy parameters are calculated to obtain multiple first measurement accuracy stability parameters, and the multiple first average measurement accuracy parameters are calculated and analyzed to obtain multiple first regional measurement accuracy parameters as the first regional measurement accuracy parameter set. Step S213 further includes step S2131, based on the multiple first historical measurement accuracy parameter sets, calculating the mean to obtain multiple first average measurement accuracy parameters. Specifically, multiple first historical measurement accuracy parameter sets are summarized and classified to ensure that the data in each parameter set is complete and accurately corresponds to the corresponding measurement situation. Check whether there are abnormal or erroneous values ​​in the data. If there are, they are processed through data cleaning and error correction methods. For example, for abnormal values ​​that obviously deviate from other data, they can be identified through statistical methods such as box plot method. If the value exceeds the upper and lower quartile range too much, further verification or deletion is carried out. After the data is sorted, a data index is established for each parameter set to facilitate rapid and accurate data extraction in subsequent calculations. For each first historical measurement accuracy parameter set, a mathematical calculation method is used to calculate the mean, and the accuracy parameters in the parameter set are added and summed, and then divided by the number of parameters to obtain multiple first average measurement accuracy parameters. During the calculation process, high-precision calculation tools or software are used to ensure the accuracy of the calculation results and avoid mean calculation deviations due to data accuracy problems. For example, when using computer programs for calculations, appropriate data types and calculation accuracy are set to ensure that the calculation results can accurately reflect the actual situation.

[0031] Step S2132, calculate the maximum deviation in the multiple first historical measurement accuracy parameter sets, obtain multiple maximum deviations, and calculate the maximum deviation mean. Specifically, for each first historical measurement accuracy parameter set, find the maximum and minimum values ​​therein, calculate the difference between them as the maximum deviation of the parameter set, and determine the maximum and minimum values ​​by traversing all the data in the parameter set and comparing the size relationship between each data and other data. In this process, the sorting algorithm can be used to sort the data first, and then the first and last data can be directly obtained as the maximum and minimum values ​​for difference calculation to improve the calculation efficiency. The multiple maximum deviations calculated are summarized, and the mean calculation method is used again to add all the maximum deviations and divide them by the number of maximum deviations, so as to obtain the maximum deviation mean, which provides a benchmark value for the subsequent evaluation of the measurement accuracy stability parameters, and is used to measure the relative size of the maximum deviations of each parameter set.

[0032] Step S2133, respectively calculate the ratio of the maximum deviation mean to the multiple maximum deviations as multiple first measurement accuracy stability parameters, perform correction calculation on the multiple first average measurement accuracy parameters, and obtain multiple first regional measurement accuracy parameters as the first regional measurement accuracy parameter set. Specifically, respectively calculate the ratio of the maximum deviation mean to each maximum deviation of each first historical measurement accuracy parameter set as multiple first measurement accuracy stability parameters. The larger the ratio, the greater the fluctuation of the parameter set relative to the average deviation level, that is, the worse the measurement stability. By calculating this relative ratio, the stability of different parameter sets can be more intuitively compared, and the multiple first average measurement accuracy parameters can be corrected and calculated according to the measurement accuracy stability parameters. For the first average measurement accuracy parameter corresponding to the parameter set with poor stability (i.e., a larger ratio), it is adjusted according to certain rules. For example, a weighted correction method can be used to determine the weight according to the size of the stability parameter. The worse the stability, the smaller the weight. The weight is multiplied by the first average measurement accuracy parameter to obtain the corrected parameter value. In this way, the corresponding accuracy parameter is reduced when the measurement level is unstable, so as to more accurately reflect the actual measurement situation. After correction calculation, multiple first-area measurement accuracy parameters are obtained, which are combined to form a first-area measurement accuracy parameter set, providing a reliable data basis for subsequent analysis and application.

[0033] Step S300, obtain the operating scope of the multiple PDF viewer terminals, optimize the synchronization schemes for the multiple synchronization area measurement data, and obtain multiple synchronization schemes. Specifically, first, collect the operating scope information of each department through communication and organize it into documents or records, and use drawing tools to visually mark and annotate the operating scope on the specified drawing. Then, associate and match the synchronization area measurement data with the operating scope, and group the relevant data of each department according to data type and importance. Then, formulate a preliminary synchronization scheme based on the operating characteristics, data grouping, network bandwidth, data processing capacity, work requirements, etc. of each department, determine the priority and order, and consider the real-time requirements of data. After that, simulate the execution effect of the test scheme in different scenarios. If data loss or excessive delay occurs due to network congestion, optimize the data compression algorithm, adjust the transmission protocol, etc., and further optimize according to the departmental collaboration relationship and construction schedule, coordinate the data synchronization time, and determine the final multiple synchronization schemes after multiple tests and adjustments to meet the needs of different PDF viewer departments and improve data synchronization efficiency and accuracy.

[0034] In a possible implementation, the operation ranges of the multiple PDF viewers are obtained, the synchronization schemes of the multiple synchronization area measurement data are optimized respectively, and multiple synchronization schemes are obtained, and step S300 further includes step S310, constructing a synchronization scheme space according to the multiple synchronization area measurement data. Specifically, the multiple synchronization area measurement data are deeply analyzed to extract key features. For example, analyze features such as data volume, data update frequency, and data importance level. For data volume, count the number of data bytes of the measured data in each synchronization area; the data update frequency is determined based on the time interval for the generation of the measurement data; the data importance level can be divided based on factors such as the criticality of the measurement area in the project and the degree of impact on subsequent construction or design. Through analysis, provide basic information for constructing the synchronization solution space, and set the dimensions of the synchronization solution space based on the extracted data features. For example, the data volume, update frequency, importance level, etc. can be used as different dimensions to construct a spatial coordinate system. In this coordinate system, each point represents a possible combination of synchronization solutions. For example, a point has a smaller value in the data volume dimension, a higher value in the update frequency dimension, and a higher value in the importance level dimension. This means that the corresponding synchronization solution may be to prioritize synchronization processing for data with a small amount of data but frequent updates and is important. In this way, a spatial framework that can cover various possibilities of synchronization solutions is constructed.

[0035] Step S320, obtaining a first operation range of a first PDF viewing terminal among the multiple PDF viewing terminals, optimizing the synchronization scheme within the synchronization scheme space, and obtaining a first synchronization scheme. Specifically, the first operation scope corresponding to the first PDF viewer is understood in detail, and the measurement areas, work processes and data demand characteristics involved in the operation scope are clarified. For example, if it is the PDF viewer of the structural design department in the construction, its operation scope may involve the main structure measurement data of the building, and there are high requirements for data accuracy and real-time performance. The data association and dependency between different measurement areas in the operation scope are analyzed so as to consider these factors in the synchronization scheme optimization. In the constructed synchronization scheme space, different synchronization scheme paths are explored from the initial point according to the requirements of the first operation scope. By simulating different data transmission sequences, synchronization time intervals and other factors, indicators such as data transmission efficiency, accuracy and support effect for the first operation scope under different schemes are calculated. For example, simulation software is used to simulate the data transmission of various synchronization schemes under different network conditions, and parameters such as statistical transmission success rate and delay time are calculated. The advantages and disadvantages of different schemes are evaluated according to the indicators, and the schemes are continuously adjusted through optimization algorithms (such as genetic algorithms, simulated annealing algorithms, etc.) until a scheme that meets the requirements of the first operation scope and has the best indicators in the synchronization scheme space is found as the first synchronization scheme.

[0036] Step S330, according to the synchronization scheme space, continue to optimize the synchronization schemes of other multiple PDF viewer terminals to obtain multiple synchronization schemes. Specifically, based on the synchronization scheme space, for other multiple PDF viewer terminals, analyze their respective operating scope characteristics in turn, refer to the optimization process and results of the first synchronization scheme, and make adjustments in combination with the unique requirements of the operating scope of each PDF viewer terminal. For example, if the operating scope of a certain PDF viewer terminal has higher requirements for data security, when optimizing the synchronization scheme, focus on data encryption transmission, backup mechanism and other aspects; if the network environment of a certain viewer terminal is poor, adjust the data compression method and transmission retry mechanism, etc., and perform comprehensive synchronization scheme optimization for each PDF viewer terminal in the synchronization scheme space. By constantly trying different parameter combinations and strategy adjustments, simulate and verify the effects of various schemes in different scenarios, ensure that each synchronization scheme not only meets the special requirements of its own operating scope, but also can coordinate operation in the entire data synchronization system, and finally obtain an optimized synchronization scheme for each PDF viewer terminal, forming a collection of multiple synchronization schemes to achieve efficient and accurate data synchronization to meet the needs of different departments and business scenarios.

[0037] In one possible implementation, a first operating range of a first PDF viewing terminal among the multiple PDF viewing terminals is obtained, and the synchronization scheme is optimized within the synchronization scheme space to obtain a first synchronization scheme. Step S320 further includes step S321, obtaining a first operating range of a first PDF viewing terminal among the multiple PDF viewing terminals. Specifically, in-depth communication and exchanges are conducted with relevant personnel or departments using the first PDF viewer to collect detailed information about their work content, responsibilities, and tasks undertaken in the project. For example, if it is in the field of construction engineering, it is necessary to understand whether the department is responsible for foundation construction, main structure construction, or interior decoration. By consulting project documents, construction plans, and interviewing relevant persons in charge, the boundaries and specific work content of the first scope of work are clarified. At the same time, technical requirements, quality standards, and other information related to the scope of work are obtained to facilitate subsequent analysis of the compatibility of the measurement data with the scope of work. Based on the collected information, the first scope of work is accurately defined and described, which can be recorded by drawing schematic diagrams and writing detailed documents. For example, for the scope of work of a construction team in a construction project, a floor plan of the floor it is responsible for construction is drawn, and specific construction areas, building components involved, and other information are marked on the map. Key information such as the type of measurement data required within the scope of work, accuracy requirements, and frequency of data use are clarified to provide an accurate basis for subsequent adaptability analysis.

[0038] Step S322, randomly select several synchronization area measurement data in the synchronization scheme space as the first initial synchronization scheme, combine with the first operating range, perform measurement data adaptability analysis, and obtain the first adaptability parameter. Specifically, in the synchronization scheme space that has been constructed, select several synchronization area measurement data through a random algorithm to form the first initial synchronization scheme. When selecting data, consider the diversity and representativeness of the data, try to cover data from different measurement areas and different data characteristics (such as data volume, data change frequency, etc.), combine the data according to a certain logic, and form a preliminary synchronization scheme framework. For example, determine basic parameters such as data transmission order and synchronization time interval, and perform measurement data adaptability analysis in combination with the first operating range. First, compare the type matching degree of the selected measurement data with the data required within the operating range. Check whether the data types required in the operation process are included. For example, for an operation scope responsible for electrical installation, ensure that the selected data contains relevant measurement data such as the direction of wires and the location of sockets. At the same time, evaluate whether the amount of data is appropriate. Too much data may lead to inefficient processing and occupy too many resources, while too little data cannot meet the operation requirements. By simulating the application scenarios of data in actual operations, calculate the data utilization rate, that is, the ratio of the actual amount of data used to the total amount of synchronized data. According to the quality standards and technical requirements of the operation, analyze whether the accuracy of the data meets the operation requirements. For example, in high-precision equipment installation operations, the accuracy requirements for measurement data are extremely high, and it is necessary to accurately evaluate whether the accuracy of the selected data meets the standards. Combining the analysis results of the above multiple aspects, use weighted summation or comprehensive scoring methods to obtain the first adaptability parameter to quantify the degree of adaptability between the initial synchronization plan and the operation scope.

[0039] Step S323, continue to optimize the synchronization scheme of the first PDF viewer in the synchronization scheme space until convergence, output the synchronization scheme with the largest adaptability parameter, and obtain the first synchronization scheme. Specifically, within the synchronization scheme space, a suitable optimization algorithm is selected to optimize the scheme. For example, intelligent optimization algorithms such as genetic algorithms and particle swarm optimization algorithms can be used. The first adaptability parameter is used as the optimization target, and parameters such as data selection, transmission order, and synchronization time interval in the initial synchronization scheme are used as optimization variables. In each iteration of the algorithm, the optimization variables are adjusted and updated according to the set rules. For example, in the genetic algorithm, new synchronization scheme individuals are generated through operations such as crossover and mutation, and their adaptability parameters are calculated. The optimization process is continued until the convergence condition is met. The convergence condition can be set as the adaptability parameter no longer significantly improves after multiple consecutive iterations, or reaches a preset optimal threshold. During the optimization process, the synchronization scheme with the largest adaptability parameter is continuously recorded. When the convergence condition is met, the synchronization scheme with the largest adaptability parameter is output as the first synchronization scheme. After multiple rounds of optimization, the measurement data requirements of the first operating range of the first PDF viewing terminal can be met to the greatest extent, thereby achieving high efficiency and adaptability of data synchronization.

[0040] Step S400, synchronize the measurement data in the multiple synchronization schemes to multiple PDF viewing terminals to complete the synchronization process. Specifically, before synchronizing the measurement data to multiple PDF viewing terminals, first organize and classify the data, divide it according to factors such as source, importance and timeliness, establish a data index table, and mark and check key data. Detect the network environment, including bandwidth, delay and packet loss rate, etc., use tools to comprehensively detect network links, optimize network problems such as insufficient bandwidth, such as adjusting device configuration, using data compression technology, and establishing a monitoring system for real-time monitoring. Check the operating status of synchronization equipment and software, optimize software parameter configuration, ensure that the equipment is fault-free, and the software is compatible and safe. In the synchronization stage, according to the synchronization scheme rules, data is transmitted according to priority, and breakpoint continuation and data verification mechanisms are used to ensure completeness and accuracy. Real-time monitoring of transmission progress, quality and reception status, when abnormalities occur, adjust strategies, such as speed reduction, format compatibility check, etc. After the transmission is completed, verify the data integrity and accuracy at each viewing end, compare the lists, check the values ​​and perform logic checks. If there are any problems, repair and resynchronize. Finally, record and feedback the synchronization results, including time, data volume, errors and processing status, etc., and form a report for subsequent reference to ensure that the synchronization is completed smoothly and achieves the expected results.

[0041] The embodiment of the present application adopts a method of constructing a data synchronization chain among multiple interconnected PDF viewers, receiving and dividing the measurement data sets uploaded by each viewer, generating regional measurement data sets according to multiple measurement areas of the drawing; performing scale accuracy analysis on these regional data, and selecting the regional data with the highest accuracy as synchronization data; optimizing the synchronization scheme according to the operating scope of different PDF viewers, and finally synchronizing the optimized measurement data to each PDF viewer to complete the synchronization process. By performing scale accuracy analysis and synchronization optimization on the measurement data of multiple PDF viewers, the consistency and accuracy of the data are improved, and the technical effect of avoiding the data inconsistency problem caused by errors in different measurement areas is achieved.

[0042] In the above, refer to Figure 1 A multi-terminal synchronous processing method for measuring data according to an embodiment of the present invention is described in detail. Figure 2 A multi-terminal synchronous processing device for measuring data according to an embodiment of the present invention is described.

[0043] A multi-terminal synchronous processing device for measurement data according to an embodiment of the present invention is used to solve the technical problem in the prior art that multiple PDF viewers have inconsistent data accuracy and cannot be effectively synchronized when measuring with different scales. By performing scale accuracy analysis and synchronous optimization on the measurement data of multiple PDF viewers, the consistency and accuracy of the data are improved, and the technical effect of avoiding the problem of inconsistent data caused by errors in different measurement areas is achieved. A multi-terminal synchronous processing device for measurement data includes: a data synchronization chain construction module 10, a synchronization area measurement data acquisition module 20, a synchronization scheme acquisition module 30, and a synchronization processing module 40.

[0044] The data synchronization chain construction module 10 is used to build a data synchronization chain among multiple interconnected PDF viewers, receive multiple measurement data sets uploaded by the multiple PDF viewers after measuring the same specified drawing, and obtain multiple regional measurement data sets according to multiple measurement areas in the specified drawing.

[0045] The synchronous regional measurement data acquisition module 20 is used to perform measurement scale accuracy analysis on the multiple regional measurement data sets, obtain multiple regional measurement accuracy parameter sets, select the regional measurement data with the largest regional measurement accuracy parameters respectively, and obtain multiple synchronous regional measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewing terminals.

[0046] The synchronization scheme acquisition module 30 is used to acquire the operation ranges of the multiple PDF viewing terminals, optimize the synchronization schemes for the multiple synchronization area measurement data, and obtain multiple synchronization schemes.

[0047] The synchronization processing module 40 is used to synchronize the measurement data in the multiple synchronization schemes to multiple PDF viewing terminals to complete the synchronization processing.

[0048] The specific configuration of the data synchronization chain construction module 10 will be described in detail below. As described above, in the interconnected multiple PDF viewer terminals, a data synchronization chain is constructed to receive multiple measurement data sets uploaded by the multiple PDF viewer terminals after measuring the same designated drawing, and multiple regional measurement data sets are obtained by dividing according to multiple measurement areas in the designated drawing. The data synchronization chain construction module 10 further includes: a viewer node construction unit, which is used to construct multiple PDF viewer nodes in the interconnected multiple PDF viewer terminals; a data synchronization chain construction unit, which is used to collect the synchronized drawing data of the multiple PDF viewer terminals in the historical time, and construct a data synchronization chain in combination with the multiple PDF viewer nodes; a measurement data set uploading unit, which is used to receive multiple measurement data sets uploaded by the multiple PDF viewer terminals after measuring the same designated drawing based on the data synchronization chain, wherein the designated drawing includes multiple measurement areas; and a regional measurement data set acquisition unit, which is used to divide the multiple measurement data sets according to the multiple measurement areas to obtain multiple regional measurement data sets.

[0049] The specific configuration of the synchronous regional measurement data acquisition module 20 will be described in detail below. As described above, the measurement scale accuracy analysis is performed on the multiple regional measurement data sets to obtain multiple regional measurement accuracy parameter sets, and the regional measurement data with the largest regional measurement accuracy parameter are selected respectively to obtain multiple synchronous regional measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewer terminals, and the synchronous regional measurement data acquisition module 20 further includes: an accuracy analysis unit, the accuracy analysis unit is used to collect the multiple first historical drawing measurement data of the multiple measurement areas by the first PDF viewer terminal in the multiple PDF viewer terminals, perform measurement scale accuracy analysis, and obtain the first regional measurement accuracy parameter set; an accuracy parameter set acquisition unit, the accuracy parameter set acquisition unit is used to perform measurement scale accuracy analysis based on the historical drawing measurement data of the other multiple PDF viewer terminals, and obtain multiple regional measurement accuracy parameter sets; a synchronous regional measurement data acquisition unit, the synchronous regional measurement data acquisition unit is used to select the regional measurement data corresponding to the largest regional measurement accuracy parameter in the multiple regional measurement accuracy parameter sets and the multiple measurement data sets, and obtain multiple synchronous regional measurement data of the multiple measurement areas.

[0050] Wherein, a plurality of first historical drawing measurement data of the plurality of measurement areas by a first PDF viewer among the plurality of PDF viewer terminals are collected, and measurement scale accuracy analysis is performed to obtain a first area measurement accuracy parameter set, and the accuracy analysis unit further comprises: a first historical drawing measurement data set collection subunit, the first historical drawing measurement data set collection subunit is used to collect a plurality of first historical drawing measurement data sets measured by the first PDF viewer among the plurality of PDF viewer terminals for the plurality of measurement areas; a first historical measurement accuracy parameter set acquisition subunit, the first historical measurement accuracy parameter set acquisition subunit is used to acquire a plurality of first historical measurement accuracy parameter sets after field testing of the plurality of first historical drawing measurement data sets; a parameter correction subunit, the parameter correction subunit is used to calculate and obtain a plurality of first average measurement accuracy parameters according to the plurality of first historical measurement accuracy parameter sets, calculate and analyze to obtain a plurality of first measurement accuracy stability parameters, correct the plurality of first average measurement accuracy parameters, and obtain a plurality of first area measurement accuracy parameters as the first area measurement accuracy parameter set.

[0051] Among them, according to the multiple first historical measurement accuracy parameter sets, multiple first average measurement accuracy parameters are calculated and obtained, and multiple first measurement accuracy stability parameters are calculated and analyzed, the multiple first average measurement accuracy parameters are corrected, and multiple first regional measurement accuracy parameters are obtained as the first regional measurement accuracy parameter set. The parameter correction subunit further includes: a first average measurement accuracy parameter acquisition microunit, the first average measurement accuracy parameter acquisition microunit is used to calculate the average according to the multiple first historical measurement accuracy parameter sets to obtain multiple first average measurement accuracy parameters; a maximum deviation mean calculation microunit, the maximum deviation mean calculation microunit is used to calculate the maximum deviation within the multiple first historical measurement accuracy parameter sets, obtain multiple maximum deviations, and calculate the maximum deviation mean; a first regional measurement accuracy parameter acquisition microunit, the first regional measurement accuracy parameter acquisition microunit is used to respectively calculate the ratio of the maximum deviation mean to the multiple maximum deviations as multiple first measurement accuracy stability parameters, and the multiple first average measurement accuracy parameters are corrected and calculated to obtain multiple first regional measurement accuracy parameters as the first regional measurement accuracy parameter set.

[0052] The specific configuration of the synchronization scheme acquisition module 30 will be described in detail below. As described above, the operation ranges of the multiple PDF viewing terminals are acquired, and the synchronization schemes of the multiple synchronization area measurement data are optimized respectively to obtain multiple synchronization schemes. The synchronization scheme acquisition module 30 further includes: a synchronization scheme space construction unit, the synchronization scheme space construction unit is used to construct a synchronization scheme space according to the multiple synchronization area measurement data; a first synchronization scheme acquisition unit, the first synchronization scheme acquisition unit is used to acquire the first operation range of the first PDF viewing terminal among the multiple PDF viewing terminals, optimize the synchronization scheme in the synchronization scheme space, and obtain the first synchronization scheme; a scheme optimization unit, the scheme optimization unit is used to continue to optimize the synchronization schemes of the other multiple PDF viewing terminals according to the synchronization scheme space to obtain multiple synchronization schemes.

[0053] Among them, a first operating range of a first PDF viewing terminal among the multiple PDF viewing terminals is obtained, and the synchronization scheme is optimized in the synchronization scheme space to obtain a first synchronization scheme. The first synchronization scheme acquisition unit further includes: a first operating range acquisition subunit, the first operating range acquisition subunit is used to obtain the first operating range of a first PDF viewing terminal among the multiple PDF viewing terminals; a first adaptability parameter acquisition subunit, the first adaptability parameter acquisition subunit is used to randomly select a number of synchronization area measurement data in the synchronization scheme space as a first initial synchronization scheme, and perform measurement data adaptability analysis in combination with the first operating range to obtain a first adaptability parameter; a first synchronization scheme acquisition subunit, the first synchronization scheme acquisition subunit is used to continue to optimize the synchronization scheme of the first PDF viewing terminal in the synchronization scheme space until convergence, output a synchronization scheme with the largest adaptability parameter, and obtain the first synchronization scheme.

[0054] A multi-terminal synchronous processing device for measurement data provided in an embodiment of the present invention can execute a multi-terminal synchronous processing method for measurement data provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0055] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0056] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for multi-terminal synchronous processing of measurement data, characterized in that: The method comprises: In the interconnected multiple PDF viewer terminals, a data synchronization chain is constructed to receive multiple measurement data sets uploaded by the multiple PDF viewer terminals after measuring the same designated drawing, and to obtain multiple regional measurement data sets according to multiple measurement areas in the designated drawing; Performing measurement scale accuracy analysis on the multiple regional measurement data sets to obtain multiple regional measurement accuracy parameter sets, selecting the regional measurement data with the largest regional measurement accuracy parameters respectively, and obtaining multiple synchronized regional measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewing terminals; Acquire the operation ranges of the multiple PDF viewer terminals, optimize synchronization schemes for the multiple synchronization area measurement data, and obtain multiple synchronization schemes; Synchronize the measurement data in the multiple synchronization schemes to multiple PDF viewing terminals to complete the synchronization process; Performing measurement scale accuracy analysis on the multiple regional measurement data sets to obtain multiple regional measurement accuracy parameter sets, including: Collecting measurement data of a plurality of first historical drawings of the plurality of measurement areas by a first PDF viewer among the plurality of PDF viewers, performing measurement scale accuracy analysis, and obtaining a first area measurement accuracy parameter set; Based on the historical drawing measurement data of multiple PDF viewers, the measurement scale accuracy analysis is performed to obtain multiple regional measurement accuracy parameter sets; Selecting regional measurement data corresponding to the largest regional measurement accuracy parameter from the multiple regional measurement accuracy parameter sets and the multiple measurement data sets respectively, to obtain multiple synchronized regional measurement data of the multiple measurement areas; Collecting measurement data of a plurality of first historical drawings of the plurality of measurement areas by a first PDF viewer among the plurality of PDF viewers, and performing measurement scale accuracy analysis, including: Collecting a plurality of first historical drawing measurement data sets obtained by measuring the plurality of measurement areas by a first PDF viewer among the plurality of PDF viewers; Acquire a plurality of first historical measurement accuracy parameter sets after field testing of the plurality of first historical drawing measurement data sets; According to the plurality of first historical measurement accuracy parameter sets, a plurality of first average measurement accuracy parameters are calculated and obtained, and a plurality of first measurement accuracy stability parameters are calculated and analyzed, and the plurality of first average measurement accuracy parameters are corrected to obtain a plurality of first regional measurement accuracy parameters as the first regional measurement accuracy parameter set; According to the plurality of first historical measurement accuracy parameter sets, a plurality of first average measurement accuracy parameters are calculated and obtained, and a plurality of first measurement accuracy stability parameters are calculated and analyzed, and the plurality of first average measurement accuracy parameters are corrected, including: Calculating an average value according to the plurality of first historical measurement accuracy parameter sets to obtain a plurality of first average measurement accuracy parameters; Calculating maximum deviations in the plurality of first historical measurement accuracy parameter sets to obtain a plurality of maximum deviations, and calculating a maximum deviation mean; The maximum deviation mean and the ratio of the multiple maximum deviations are calculated respectively as multiple first measurement accuracy stability parameters, and the multiple first average measurement accuracy parameters are corrected and calculated to obtain multiple first area measurement accuracy parameters as a first area measurement accuracy parameter set.

2. The multi-terminal synchronous processing method of measurement data according to claim 1, characterized in that: Build a data synchronization chain among multiple interconnected PDF viewers, including: Build multiple PDF viewing nodes in multiple interconnected PDF viewing terminals; Collect the drawing data synchronized in the historical time of the multiple PDF viewing terminals, and build a data synchronization chain by combining the multiple PDF viewing nodes; Based on the data synchronization chain, receiving multiple measurement data sets uploaded by the multiple PDF viewers after measuring the same designated drawing, wherein the designated drawing includes multiple measurement areas; The multiple measurement data sets are divided according to the multiple measurement areas to obtain multiple regional measurement data sets.

3. The multi-terminal synchronous processing method of measurement data according to claim 1, characterized in that: The operation ranges of the multiple PDF viewer terminals are obtained, and synchronization schemes are optimized for the multiple synchronization area measurement data to obtain multiple synchronization schemes, including: constructing a synchronization scheme space according to the plurality of synchronization area measurement data; Acquire a first operation range of a first PDF viewer among the multiple PDF viewers, and optimize the synchronization scheme within the synchronization scheme space to obtain a first synchronization scheme; According to the synchronization scheme space, the synchronization schemes of other multiple PDF viewers are continuously optimized to obtain multiple synchronization schemes.

4. The multi-terminal synchronous processing method of measurement data according to claim 3, characterized in that: Acquiring a first operation range of a first PDF viewer among the multiple PDF viewers, and optimizing the synchronization scheme within the synchronization scheme space, including: Acquire a first operation range of a first PDF viewer among the plurality of PDF viewers; Randomly selecting a number of synchronization area measurement data in the synchronization scheme space as a first initial synchronization scheme, and performing measurement data adaptability analysis in combination with the first operation range to obtain a first adaptability parameter; Continue to optimize the synchronization scheme of the first PDF viewer in the synchronization scheme space until convergence, output the synchronization scheme with the largest adaptability parameter, and obtain the first synchronization scheme.

5. A multi-terminal synchronous processing device for measuring data, characterized in that: The device is used to implement a multi-terminal synchronous processing method for measurement data according to any one of claims 1 to 4, and the device comprises: A data synchronization chain construction module, the data synchronization chain construction module is used to construct a data synchronization chain among multiple interconnected PDF viewer terminals, receive multiple measurement data sets uploaded by the multiple PDF viewer terminals after measuring the same designated drawing, and divide and obtain multiple regional measurement data sets according to multiple measurement areas in the designated drawing; A synchronous regional measurement data acquisition module, the synchronous regional measurement data acquisition module is used to perform measurement scale accuracy analysis on the multiple regional measurement data sets, obtain multiple regional measurement accuracy parameter sets, respectively select regional measurement data with the largest regional measurement accuracy parameters, and obtain multiple synchronous regional measurement data, wherein the measurement scale accuracy analysis of the multiple measurement areas is performed on the multiple PDF viewing terminals; A synchronization scheme acquisition module, wherein the synchronization scheme acquisition module is used to acquire the operation ranges of the multiple PDF viewing terminals, optimize the synchronization schemes for the multiple synchronization area measurement data, and obtain multiple synchronization schemes; A synchronization processing module, the synchronization processing module is used to synchronize the measurement data in the multiple synchronization schemes to multiple PDF viewing terminals to complete synchronization processing; The synchronous regional measurement data acquisition module includes: An accuracy analysis unit, the accuracy analysis unit is used to collect measurement data of a plurality of first historical drawings of the plurality of measurement areas by a first PDF viewer among the plurality of PDF viewers, perform measurement scale accuracy analysis, and obtain a first area measurement accuracy parameter set; An accuracy parameter set acquisition unit, the accuracy parameter set acquisition unit is used to perform measurement scale accuracy analysis based on historical drawing measurement data of multiple other PDF viewer terminals to obtain multiple regional measurement accuracy parameter sets; a synchronous regional measurement data acquisition unit, the synchronous regional measurement data acquisition unit being used to select regional measurement data corresponding to the largest regional measurement accuracy parameter from the multiple regional measurement accuracy parameter sets and the multiple measurement data sets, respectively, to obtain multiple synchronous regional measurement data of the multiple measurement regions; The accuracy analysis unit includes: a first historical drawing measurement data set acquisition subunit, the first historical drawing measurement data set acquisition subunit being used to acquire a plurality of first historical drawing measurement data sets measured by a first PDF viewer among the plurality of PDF viewers on the plurality of measurement areas; a first historical measurement accuracy parameter set acquisition subunit, the first historical measurement accuracy parameter set acquisition subunit being used to acquire a plurality of first historical measurement accuracy parameter sets after the plurality of first historical drawing measurement data sets are subjected to field testing; a parameter correction subunit, the parameter correction subunit being used to calculate and obtain a plurality of first average measurement accuracy parameters according to the plurality of first historical measurement accuracy parameter sets, and to calculate and analyze and obtain a plurality of first measurement accuracy stability parameters, and to correct the plurality of first average measurement accuracy parameters to obtain a plurality of first regional measurement accuracy parameters as the first regional measurement accuracy parameter set; The parameter correction subunit includes: A first average measurement accuracy parameter acquisition micro-unit, the first average measurement accuracy parameter acquisition micro-unit is used to calculate an average value according to the plurality of first historical measurement accuracy parameter sets to obtain a plurality of first average measurement accuracy parameters; A maximum deviation mean calculation micro unit, the maximum deviation mean calculation micro unit is used to calculate the maximum deviation in the plurality of first historical measurement accuracy parameter sets, obtain a plurality of maximum deviations, and calculate the maximum deviation mean; The first area measurement accuracy parameter acquisition microunit is used to respectively calculate the ratio of the maximum deviation mean and the multiple maximum deviations as multiple first measurement accuracy stability parameters, perform correction calculation on the multiple first average measurement accuracy parameters, and obtain multiple first area measurement accuracy parameters as a first area measurement accuracy parameter set.

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