A data intelligent management method and system in water conservancy construction process

Abstract

The present invention relates to the technical field of water conservancy project data management, and specifically to a data intelligent management method and system during a water conservancy construction process. The present invention obtains a ratio feature sequence of a construction site; divides the construction site into a number of construction time periods based on the changes in all elements in the ratio feature sequence; analyzes the ratio similarity between two construction time periods based on the ratio feature sequence, and obtains the reference degree of the construction time periods of other construction sites for the construction time period to be analyzed; analyzes the ratio difference of each dimension of resource data between two construction moments based on the ratio feature sequence, and obtains the abnormality degree of each dimension of resource data at the construction moment to be analyzed in combination with the reference degree; judges the resource data dimension with abnormal ratio according to the abnormality degree and issues an early warning. The abnormality degree of resource data obtained by the method and system of the present invention is more real and reliable, thereby improving the accuracy of resource ratio monitoring and ensuring that the project proceeds smoothly as planned.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy project data management, and in particular to a data intelligent management method and system during a water conservancy construction process. Background Art

[0002] In recent years, water conservancy informatization has experienced rapid development. With digitalization, networking, and intelligence as key drivers, and digital scenarios, intelligent simulation, and precise decision-making as key enablers, the construction of a smart water conservancy system with forecasting, early warning, rehearsal, and contingency planning capabilities (hereinafter referred to as the "four pre-emptives") has been accelerated. Against this backdrop, major water conservancy projects have begun implementing smart engineering initiatives, integrating and centrally managing information across all phases, elements, and business operations throughout the project lifecycle. Intelligent data management during water conservancy construction is a key component of achieving smart engineering. Intelligent data management involves real-time monitoring and analysis of various construction site data, such as resource consumption, construction progress, and safety status, to promptly identify anomalies, optimize resource allocation, improve construction efficiency, reduce delays and waste, and ensure the quality and safety of water conservancy projects. Intelligent data management not only improves the accuracy of management decisions but also provides comprehensive data support for complex water conservancy projects, ensuring smooth and on-time progress.

[0003] Long-distance water conservancy projects typically have multiple construction sites, depending on the project's scale and complexity. During construction, each site typically involves roughly the same construction tasks, primarily encompassing phases such as earthwork, concrete work, and steel structure and equipment installation. However, the proportional relationships between the number of equipment operators, the amount of equipment, and energy consumption vary significantly across different construction phases. Therefore, due to varying construction schedules at different sites, it's necessary to allocate resources based on a specific proportional ratio for equipment operators, equipment, and energy. However, existing resource allocation practices in water conservancy construction can often fail to meet these proportional requirements, leading to serious delays and impacting overall progress. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a data intelligent management method and system during water conservancy construction.

[0005] According to a first aspect of an embodiment of the present invention, a method for intelligent data management during water conservancy construction is provided, and the technical solution adopted is as follows:

[0006] Obtain the construction progress sequence and multi-dimensional resource data sequence of each construction point;

[0007] Analyze the proportional relationship between two dimensions in the resource data sequence of all construction moments of each construction site to obtain a matching feature sequence for each construction site;

[0008] Analyze the changes of all elements in the ratio characteristic sequence to obtain segmentation points, and divide all time series of each construction point into several construction time periods;

[0009] Based on the matching feature sequence, analyzing the matching similarity between the construction time period of the construction point to be analyzed and each construction time period of other construction points, and obtaining the reference degree of each construction time period of other construction points to the construction time period to be analyzed;

[0010] Based on the matching feature sequence, the matching difference degree of each dimension resource data between the construction moment to be analyzed of the construction point to be analyzed and each construction moment of other construction points is analyzed, and the abnormality degree of each dimension resource data at the construction moment to be analyzed is obtained in combination with the reference degree;

[0011] Based on the degree of abnormality, the resource data dimension where the abnormal ratio occurs is determined and an early warning is issued.

[0012] In some embodiments of the present invention, the resource data sequence includes: a sequence of the number of equipment operators, a sequence of the number of equipment, a sequence of energy consumption, and a sequence of construction progress.

[0013] In some embodiments of the present invention, analyzing the proportional relationship between two dimensions in the resource data sequence of each construction site to obtain a matching feature sequence for each construction site includes:

[0014] The proportional relationship between the equipment operator quantity sequence, the equipment quantity sequence and the energy consumption sequence at each construction site is analyzed to obtain a matching feature sequence for each construction site, wherein the matching feature sequence includes a personnel-equipment feature sequence, a personnel-energy feature sequence and an equipment-energy feature sequence.

[0015] In some embodiments of the present invention, the changes of all elements in the ratio feature sequence are analyzed to obtain segmentation points, and all time series of each construction point are divided into several construction time periods, including:

[0016] Analyze the mutation degrees of all elements in the personnel-equipment feature sequence, the personnel-energy feature sequence, and the equipment-energy feature sequence respectively, and obtain the personnel-equipment mutation sequence, the personnel-energy mutation sequence, and the equipment-energy mutation sequence at each construction site;

[0017] Sum the values of the personnel equipment mutation sequence, the personnel energy mutation sequence, and the equipment energy mutation sequence corresponding to the construction time to obtain a stage characteristic sequence for each construction point;

[0018] The peak point of the stage characteristic sequence is used as the segmentation point, and all time series of each construction point are divided into several construction time periods.

[0019] In some embodiments of the present invention, analyzing the mutation degree of all elements in the personnel and equipment feature sequence to obtain the personnel and equipment mutation sequence for each construction site includes:

[0020] For any construction point, any element in the personnel and equipment feature sequence of the construction point is used as the end of the window, and the construction length is The window is recorded as the change feature window of the element;

[0021] Calculating the mean of all elements in the change characteristic window, and recording the absolute value of the difference between the element value and the mean as the mutation degree of the element;

[0022] All elements in the personnel and equipment feature sequence of the construction site are traversed to obtain the personnel and equipment mutation sequence of each construction site.

[0023] In some embodiments of the present invention, the reference degree of each construction time period of other construction points to the construction time period to be analyzed is obtained, and then the method further includes: correcting the reference degree according to the construction progress sequence to obtain a corrected reference degree.

[0024] In some embodiments of the present invention, the reference level is corrected according to the construction progress sequence to obtain a corrected reference level, including:

[0025] According to the construction progress sequence, the construction rate of each construction point at all construction moments is obtained;

[0026] Based on the construction rate, analyzing the construction rate ratio relationship between the construction moment of the construction point to be analyzed and each construction moment of other construction points to obtain a construction rate factor;

[0027] The reference degree is corrected according to the construction rate factor to obtain a corrected reference degree between the construction moment of the construction point to be analyzed and each construction moment of other construction points.

[0028] In some embodiments of the present invention, based on the matching feature sequence, the matching difference between the construction moment of the construction point to be analyzed and each construction moment of other construction points is analyzed, and the abnormality degree of the resource data of each dimension at the construction moment to be analyzed is obtained in combination with the reference degree, including:

[0029] Based on the personnel and equipment feature sequence and the personnel energy feature sequence, the personnel ratio difference between the construction moment to be analyzed at the construction point to be analyzed and each construction moment of other construction points is analyzed, and the personnel abnormality degree at the construction moment to be analyzed is obtained in combination with the correction reference degree;

[0030] Based on the personnel and equipment feature sequence and the equipment energy feature sequence, analyzing the equipment ratio difference between the construction time to be analyzed of the construction point to be analyzed and each construction time of other construction points, and combining the correction reference degree to obtain the equipment abnormality degree at the construction time to be analyzed;

[0031] Based on the personnel energy feature sequence and the equipment energy feature sequence, the energy ratio difference between the construction moment to be analyzed at the construction point to be analyzed and each construction moment of other construction points is analyzed, and combined with the correction reference degree, the energy abnormality degree of the construction moment to be analyzed is obtained.

[0032] According to a second aspect of an embodiment of the present invention, a data intelligent management system for a water conservancy construction process is provided, comprising: a memory and a processor, wherein:

[0033] The memory is used to store program code;

[0034] The processor is configured to read the program code stored in the memory and execute the method described in the first aspect of the embodiment of the present invention.

[0035] In some embodiments of the present invention, the processor includes:

[0036] Resource data acquisition module, used to obtain the construction progress sequence and multi-dimensional resource data sequence of each construction point;

[0037] A ratio analysis module is used to analyze the proportional relationship between two dimensions in the resource data sequence of all construction moments of each construction site to obtain a ratio feature sequence for each construction site;

[0038] The reference degree analysis module is used to analyze the changes in all elements in the ratio feature sequence to obtain segmentation points, and divide all time series of each construction point into several construction time periods; then, based on the ratio feature sequence, analyze the ratio similarity between the construction time period of the construction point to be analyzed and each construction time period of other construction points, and obtain the reference degree of each construction time period of other construction points to the construction time period to be analyzed;

[0039] A resource data anomaly degree analysis module is configured to analyze, based on the ratio feature sequence, the ratio difference between the construction moment to be analyzed of the construction site to be analyzed and each construction moment of other construction sites, and to obtain the abnormality degree of the resource data of each dimension at the construction moment to be analyzed in combination with the reference degree;

[0040] The abnormal resource warning module is used to determine the resource data dimension where the abnormal ratio occurs and issue an early warning based on the degree of abnormality.

[0041] Compared with the existing technology, the data intelligent management method and system in the water conservancy construction process provided by the present invention have the following beneficial effects:

[0042] 1. By analyzing the proportional relationship between two dimensions in the resource data sequence of all construction moments at each construction site, we can obtain the ratio feature sequence of each construction site. Differences in the ratio features can indicate irrational resource allocation, providing an accurate and reliable data foundation for subsequent analysis.

[0043] 2. Considering the similarities between any construction time period at a construction site and the construction time periods at the same construction stage at other construction sites in terms of data on personnel-equipment ratio series, personnel-energy ratio series, and equipment-energy ratio series, all time series at each construction site are first divided into several construction time periods. Then, based on the construction time periods, the similarities between two construction time periods at different construction sites are analyzed. The greater the similarity in ratio, the greater the reference degree between the two construction time periods. The reference degree is then used as a weight for the ratio difference to obtain the degree of resource data anomaly. The degree of resource data anomaly quantified by combining the reference degree between different construction time periods is more realistic and reliable, thereby improving the accuracy of resource ratio monitoring and providing an accurate and reliable data basis for resource ratio adjustment.

[0044] 3. In some embodiments of the present invention, if the construction rate at a certain construction moment is higher than that at other construction points at the same construction stage, it means that the resource allocation of the construction point at the construction moment in the construction stage is better. Therefore, the construction rate is used to correct the reference degree between the two construction time periods to obtain the corrected reference degree between the two construction moments, which can more specifically monitor the abnormality of the construction progress caused by problems in resource allocation. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0046] Figure 1 A schematic diagram of the basic process of a method for intelligent data management during water conservancy construction provided by one embodiment of the present invention;

[0047] Figure 2 A schematic diagram of the basic composition of an intelligent data management system for water conservancy construction provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0048] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of a method and system for intelligent data management during water conservancy construction proposed by the present invention. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0049] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this invention pertains. Terms such as "comprises," "comprising," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a circuit structure, article, or device comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such article or device. In the absence of further limitations, the phrase "comprising a ..." to define an element does not preclude the presence of other identical elements in the article or device comprising the element.

[0050] The specific scheme of the data intelligent management method in the water conservancy construction process provided by the present invention is described in detail below with reference to the accompanying drawings.

[0051] It should be noted that in order to ensure that the calculation results are meaningful, when performing fractional operations in the embodiments of the present invention, when encountering a situation where the denominator is 0, it is necessary to add a parameter adjustment factor greater than 0 to the denominator to prevent the denominator from being 0. The value of the parameter adjustment factor is set by the implementer according to actual conditions, and this application does not impose any special restrictions.

[0052] See also Figure 1 , which shows the basic process of a data intelligent management method in a water conservancy construction process provided by an embodiment of the present invention.

[0053] like Figure 1 As shown, an embodiment of the present invention provides a method for intelligent data management during water conservancy construction, specifically including:

[0054] S100: Acquire a construction progress sequence and a multi-dimensional resource data sequence for each construction point.

[0055] During the construction of multiple sites on a long-distance water conservancy project, construction progress and resource data were recorded daily from the start of each site, generating a construction progress sequence and a multidimensional resource data sequence for each site. Construction progress was quantified using the critical path method; resource data included the number of equipment operators, the amount of equipment, and energy consumption, forming sequences for the number of equipment operators, the number of equipment, and energy consumption, respectively. Each element in the sequence corresponded to a construction moment at which data was collected.

[0056] S200: Analyze the proportional relationship between two dimensions in the resource data sequence of all construction moments of each construction site to obtain a matching feature sequence of each construction site.

[0057] During the construction process of multiple construction sites of long-distance water conservancy projects, there is a positive correlation between the number of equipment operators, the number of equipment, and energy consumption at each construction site. The ratio of actual data between resource data of each dimension with a positive correlation can reflect the resource allocation characteristics between each resource data during actual construction. When resource allocation is unreasonable, it will be reflected in the difference in resource allocation characteristics.

[0058] Based on the above analysis, in this embodiment, by analyzing the proportional relationships between pairs of dimensions in the resource data sequence at all construction moments at each construction site, a matching feature sequence for each construction site is obtained. Furthermore, by analyzing the proportional relationships between the equipment operator quantity sequence, equipment quantity sequence, and energy consumption sequence at all construction moments at each construction site, a matching feature sequence for each construction site is obtained. The matching feature sequence includes a personnel-equipment feature sequence, a personnel-energy feature sequence, and an equipment-energy feature sequence.

[0059] Specific implementation method: to obtain the The construction site is at Take the personnel and equipment feature sequence of the construction moment as an example. First, analyze the The construction site is at The proportional relationship between the equipment operator quantity sequence and equipment quantity sequence at each construction moment is obtained. The construction site is at The personnel and equipment characteristics of the construction moment. The construction site is at The calculation formula for the personnel and equipment characteristics of a construction moment is:

[0060]

[0061] Where, Indicates the The construction site is at Characteristics of personnel and equipment at each construction moment; Indicates the The construction site is at The number of equipment at each construction moment; Indicates the The construction site is at The number of equipment operators at each construction moment.

[0062] By calculating the ratio between the number of equipment and the number of equipment operators and the ratio between the number of equipment operators and the number of equipment, and then adding the two ratios and calculating the average value, we can get the The construction site is at Personnel and equipment characteristics at each construction moment.

[0063] Similarly, we get The personnel and equipment characteristics of each construction site at all construction moments. The time series composed of the personnel and equipment characteristics of a construction site at all construction moments is recorded as The personnel and equipment feature sequences of each construction site are obtained.

[0064] According to the above method, the personnel energy characteristic sequence and equipment energy characteristic sequence of each construction site are obtained. The personnel equipment characteristic sequence, the personnel energy characteristic sequence and the equipment energy characteristic sequence are collectively referred to as the ratio characteristic sequence.

[0065] S300: Analyze the changes of all elements in the ratio feature sequence to obtain segmentation points, and divide all time series of each construction point into several construction time periods.

[0066] During the construction of multiple sites on a long-distance water conservancy project, the construction content at each site is largely the same, primarily encompassing phases such as earthwork, concrete work, and steel structure and equipment installation. However, the ratios between the number of equipment operators, the amount of equipment, and energy consumption vary significantly across different construction phases. Therefore, the construction progress sequence and multidimensional resource data sequence for each site can be divided into several construction time periods.

[0067] Based on the above analysis, in this embodiment, by analyzing the changes of all elements in the ratio feature sequence, segmentation points are obtained, and all time series of each construction point are divided into several construction time periods. Further including:

[0068] First, the mutation degree of all elements in the personnel and equipment feature sequence, personnel energy feature sequence, and equipment energy feature sequence are analyzed respectively to obtain the personnel and equipment mutation sequence, personnel energy mutation sequence, and equipment energy mutation sequence of each construction point. The specific implementation method is as follows: taking the personnel and equipment mutation sequence of each construction point as an example, for any construction point, any element in the personnel and equipment feature sequence of the construction point is used as the end of the window, and a length of 1 is constructed. The window is recorded as the element's change characteristic window. The mean of all elements within the change characteristic window is calculated, and the absolute value of the difference between the element value and the mean is recorded as the element's mutation degree. All elements in the personnel and equipment characteristic sequence of the construction site are traversed to obtain the personnel and equipment mutation sequence of each construction site. Similarly, the personnel energy mutation sequence and equipment energy mutation sequence of each construction site are obtained.

[0069] Then, the numerical values of the personnel and equipment mutation sequence, personnel and energy mutation sequence, and equipment energy mutation sequence corresponding to the construction time are summed to obtain the stage characteristic sequence of each construction point.

[0070] Finally, the peak point of the stage characteristic sequence is used as the segmentation point, and all time series of each construction point are divided into several construction time periods.

[0071] S400: Based on the ratio feature sequence, the ratio similarity between the construction time period of the construction point to be analyzed and each construction time period of other construction points is analyzed to obtain the reference degree of each construction time period of other construction points to the construction time period to be analyzed.

[0072] Construction progress may vary at different construction sites. However, for any construction period at any construction site, similarities exist between the personnel and equipment feature sequences, personnel and energy feature sequences, and equipment and energy feature sequences for the same construction phase at other construction sites. For example, for two construction sites that fall within the same concrete construction phase, similarities can be found in the personnel and equipment feature sequences. This allows us to determine the degree of reference between the two construction periods at the two sites. The greater the degree of reference, the more likely the two periods are in the same construction phase.

[0073] Based on the above analysis, in this embodiment, based on the ratio feature sequence, the ratio similarity between the construction time period to be analyzed of the construction point to be analyzed and each construction time period of other construction points is analyzed to obtain the reference degree of each construction time period of other construction points to the construction time period to be analyzed.

[0074] The specific implementation method is as follows: for any construction point to be analyzed, the last construction time period of the construction point to be analyzed is recorded as the construction time period to be analyzed. The construction site The matching feature sequence is in The mean of all elements in the construction period is the same as the corresponding The difference between the means of all elements of the matching feature sequence; traverse all matching feature sequences (personnel and equipment feature sequence, personnel energy feature sequence and equipment energy feature sequence), and obtain the first The construction site The reference degree of the construction period to be analyzed. The construction site The calculation formula for the reference degree of each construction period to be analyzed is:

[0075]

[0076] Where, Indicates the construction points other than the one to be analyzed. The construction site The reference degree of each construction period to the construction period to be analyzed; Indicates the number of matching feature sequences, which is 3 here, namely the personnel and equipment feature sequence, the personnel and energy feature sequence, and the equipment and energy feature sequence; Indicates the The construction site The matching feature sequence is in The mean value of all elements in a construction period; Indicates the construction point to be analyzed The mean value of all elements of a ratio characteristic sequence during the construction period to be analyzed; represents the linear normalization function.

[0077] Indicates the construction points other than the one to be analyzed. The construction site The matching feature sequence is in The mean of all elements in the construction period is the same as the corresponding The absolute value of the difference between the means of all elements of the matching feature sequence is larger, indicating that the The construction site During the construction period The ratio characteristic sequence and the The greater the difference between the matching feature sequences, the smaller the corresponding reference degree.

[0078] S500: Correcting the reference level according to the construction progress sequence to obtain a corrected reference level.

[0079] This embodiment mainly monitors abnormal construction progress caused by inappropriate resource allocation. Therefore, for a certain construction moment in a certain construction stage at a certain construction site, if the construction rate at this construction moment is higher than that of other construction sites at the same construction stage, it means that the resource allocation at this construction site at this construction moment in this construction stage is better.

[0080] Based on the above analysis, in order to obtain a more accurate reference degree for each construction time period of other construction sites to the construction time period to be analyzed, in some embodiments of the present invention, after obtaining the reference degree for each construction time period of other construction sites to the construction time period to be analyzed, the method further includes: correcting the reference degree according to the construction progress sequence to obtain a corrected reference degree. This further includes:

[0081] First, based on the construction progress sequence, the construction rate at all construction moments for each construction site is obtained. Specifically, for any element value in the construction progress sequence for any construction site, the difference between that element value and the previous element value is recorded as the construction rate at the construction moment corresponding to that element value. This process is repeated across all element values to obtain the construction rate at all construction moments for each construction site.

[0082] Then, the latest construction time of the construction point to be analyzed is recorded as the construction time to be analyzed. Based on the construction rate, the construction rate ratio relationship between the construction time to be analyzed of the construction point to be analyzed and each construction time of other construction points is analyzed to obtain the construction rate factor. The specific implementation method is: Calculate the construction rate factor of the other construction points except the construction point to be analyzed. The construction site During the construction period The construction rate factor is obtained by calculating the ratio of the construction rate between the construction moment and the construction moment to be analyzed.

[0083] Finally, the reference degree is corrected according to the construction rate factor to obtain the corrected reference degree between the construction moment of the construction point to be analyzed and each construction moment of other construction points. The construction site During the construction period The calculation formula for the correction reference degree of the construction time to be analyzed is:

[0084]

[0085] Where, Indicates the construction points other than the one to be analyzed. The construction site The first construction period The reference degree of correction of the construction time to be analyzed; Indicates the construction points other than the one to be analyzed. The construction site The reference degree of each construction period to the construction period to be analyzed; Indicates the construction points other than the one to be analyzed. The construction site The first construction period Construction speed per construction moment; Indicates the construction rate at the construction moment to be analyzed.

[0086] Indicates other construction points except the one to be analyzed. The construction site During the construction period The ratio of the construction rate between the construction time and the construction time to be analyzed. The larger the value is, the higher the construction rate is when the construction rate of the construction time to be analyzed is constant. The construction site During the construction period The greater the construction rate at a construction moment, the better the resource allocation of the construction point at the construction moment in the construction stage. Therefore, the reference degree of the construction point at the construction moment in the construction stage for the construction moment to be analyzed is increased.

[0087] S600: Based on the ratio feature sequence, the ratio difference degree of each dimension resource data between the construction moment to be analyzed of the construction point to be analyzed and each construction moment of other construction points is analyzed, and the abnormality degree of each dimension resource data of the construction moment to be analyzed is obtained in combination with the reference degree.

[0088] When a resource has an abnormal ratio, it causes changes in the elements of the associated ratio feature sequence, resulting in a difference from the optimal ratio. The greater the difference, the greater the likelihood that the resource ratio is abnormal. Furthermore, for construction moments with a greater correction reference degree, the resource ratio at that construction moment is more likely to be the optimal resource ratio for the construction period being analyzed. Therefore, the ratio difference can be corrected based on the correction reference degree corresponding to the construction moment, and the degree of abnormality of the resource data in each dimension of the construction moment being analyzed can be analyzed.

[0089] Based on the above analysis, in this embodiment, based on the ratio feature sequence, the ratio difference between the construction time of the construction site to be analyzed and each construction time of other construction sites is analyzed, and combined with the reference degree, the abnormality degree of each dimension of the resource data at the construction time to be analyzed is obtained. Further steps include:

[0090] Based on the personnel and equipment feature sequences and the personnel energy feature sequences, the personnel ratio difference between the construction time of the construction site to be analyzed and each construction time of other construction sites is analyzed, and combined with the correction reference degree, the personnel abnormality degree of the construction time to be analyzed is obtained. The specific implementation method is as follows:

[0091] First, based on the personnel and equipment feature sequence and the personnel and energy feature sequence, the construction time of the construction point to be analyzed and the construction time of the first construction point excluding the construction point to be analyzed are calculated. The construction site The absolute value of the difference between personnel and equipment and the absolute value of the difference between personnel and energy between the construction time, combined with the absolute value of the difference between personnel and equipment and the absolute value of the difference between personnel and energy, is used to obtain the personnel ratio difference. The construction site The calculation formula for the difference in personnel ratio between construction moments is:

[0092]

[0093] Where, Indicates the construction time of the construction point to be analyzed (latest construction time) and the time of the construction point to be analyzed except the construction point to be analyzed. The construction site The difference in staff ratio at each construction moment; Indicates the construction points other than the one to be analyzed. The first in the personnel and equipment sequence of the construction site Elements of a construction moment; Elements representing the personnel and equipment sequence of the construction point to be analyzed at the construction time to be analyzed (the latest construction time); Indicates the construction points other than the one to be analyzed. The first in the personnel energy sequence of the construction site Elements of a construction moment; The element representing the personnel energy sequence of the construction site to be analyzed at the construction time to be analyzed (the latest construction time); represents the linear normalization function.

[0094] Regarding the degree of personnel ratio difference, the related ratios include personnel equipment characteristics and personnel energy characteristics. Therefore, the construction time of the construction point to be analyzed and the construction time of the first construction point other than the construction point to be analyzed are analyzed respectively. The construction site The absolute value of the difference between personnel and equipment at construction time , and the absolute value of the personnel energy difference , and the absolute value of the difference between personnel and equipment The larger the difference in personnel energy, the greater the absolute value The larger the value, the greater the difference in the corresponding personnel ratio.

[0095] Then, combined with the corrected reference level, the abnormality level of personnel at the construction moment to be analyzed is obtained. The calculation formula for the abnormality level of personnel at the construction moment to be analyzed is constructed as follows:

[0096]

[0097] Where, Indicates the degree of personnel abnormality at the time to be analyzed; Indicates the number of construction points; Indicates the The number of construction moments at each construction site; Indicates the construction points other than the one to be analyzed. The construction site The reference degree of correction of the construction time to be analyzed; Indicates the construction time of the construction point to be analyzed (latest construction time) and the time of the construction point to be analyzed except the construction point to be analyzed. The construction site The difference in staff ratio at each construction moment; represents an activation function that converts each element in the input vector into a probability value between [0, 1] and ensures that the sum of the probabilities of all elements is 1.

[0098] The ratio difference is corrected according to the correction reference degree corresponding to the construction time to obtain the abnormality degree of personnel at the construction time to be analyzed.

[0099] Similarly, based on the personnel and equipment feature sequences and the equipment energy feature sequences, the equipment ratio difference between the construction moment to be analyzed at the construction point to be analyzed and each construction moment at other construction points is analyzed. Combined with the correction reference degree, the equipment abnormality degree at the construction moment to be analyzed is obtained.

[0100] Similarly, based on the personnel energy characteristic sequence and the equipment energy characteristic sequence, the energy ratio difference between the construction moment to be analyzed at the construction point to be analyzed and each construction moment at other construction points is analyzed, and combined with the correction reference degree, the energy abnormality degree of the construction moment to be analyzed is obtained.

[0101] S700: Based on the degree of abnormality, determine the resource data dimension where the abnormality occurs and issue an early warning.

[0102] According to the degree of abnormality, the resource data dimension with abnormal proportion is judged and an early warning is issued. The specific implementation method is as follows: preset an abnormal threshold, which can be 0.2; judge whether the abnormal degree of each dimension of resource data (personnel abnormality degree, equipment abnormality degree and energy abnormality degree) is greater than the abnormal threshold; when one or more abnormal degree values of the personnel abnormality degree, equipment abnormality degree and energy abnormality degree corresponding to the construction moment to be analyzed are greater than the preset abnormal threshold of 0.2, the resource corresponding to the abnormal degree value is warned, and the ratio of the warned resources is adjusted.

[0103] Based on the same inventive concept as the above method, this embodiment also provides an intelligent data management system during water conservancy construction.

[0104] See also Figure 2 , which shows the basic composition of an intelligent data management system for water conservancy construction provided by an embodiment of the present invention.

[0105] like Figure 2 As shown, a data intelligent management system in a water conservancy construction process includes: a memory 10 and a processor 20, wherein:

[0106] Memory 10, for storing program code;

[0107] The processor 20 is configured to read the program code stored in the memory 10 and execute the program code to obtain a construction progress sequence and a multi-dimensional resource data sequence for each construction site; analyze the proportional relationship between the two dimensions in the resource data sequence of all construction moments of each construction site to obtain a matching feature sequence for each construction site; analyze the changes in all elements in the matching feature sequence to obtain segmentation points, and divide all time series of each construction site into a number of construction time periods; based on the matching feature sequence, analyze the matching similarity between the construction time period to be analyzed of the construction site to be analyzed and each construction time period of other construction sites to obtain a reference degree of each construction time period of other construction sites to the construction time period to be analyzed; based on the matching feature sequence, analyze the matching difference of each dimension of resource data between the construction moment to be analyzed of the construction site to be analyzed and each construction moment of other construction sites, and obtain the abnormality degree of resource data of each dimension of the construction moment to be analyzed in combination with the reference degree; and based on the abnormality degree, determine the resource data dimension with abnormal matching and issue an early warning.

[0108] Furthermore, the processor includes: a resource data collection module 21, a ratio analysis module 22, a reference degree analysis module 23, a resource data abnormality degree analysis module 24 and an abnormal resource early warning module 25;

[0109] Resource data acquisition module 21, used to obtain the construction progress sequence and multi-dimensional resource data sequence of each construction point;

[0110] The ratio analysis module 22 is used to analyze the proportional relationship between two dimensions in the resource data sequence of all construction moments of each construction site to obtain the ratio feature sequence of each construction site;

[0111] The reference degree analysis module 23 is used to analyze the changes in all elements in the ratio feature sequence, obtain segmentation points, and divide all time series of each construction point into several construction time periods. Then, based on the ratio feature sequence, the module analyzes the ratio similarity between the construction time period of the construction point to be analyzed and each construction time period of other construction points, and obtains the reference degree of each construction time period of other construction points to the construction time period to be analyzed.

[0112] The resource data anomaly degree analysis module 24 is used to analyze the ratio difference of each dimension of resource data between the construction moment to be analyzed of the construction site to be analyzed and each construction moment of other construction sites based on the ratio feature sequence, and combine the difference with the reference degree to obtain the anomaly degree of each dimension of resource data at the construction moment to be analyzed;

[0113] The abnormal resource warning module 25 is used to determine the resource data dimension where the abnormal ratio occurs and issue an early warning based on the degree of abnormality.

[0114] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

Claims

1. A data intelligent management method in the process of water conservancy construction, characterized in that: The method comprises: Obtain the construction progress sequence and multi-dimensional resource data sequence of each construction point; Analyze the proportional relationship between two dimensions in the resource data sequence of all construction moments of each construction site to obtain a matching feature sequence for each construction site; Analyze the changes of all elements in the ratio characteristic sequence to obtain segmentation points, and divide all time series of each construction point into several construction time periods; Based on the matching feature sequence, analyzing the matching similarity between the construction time period of the construction point to be analyzed and each construction time period of other construction points, and obtaining the reference degree of each construction time period of other construction points to the construction time period to be analyzed; Based on the matching feature sequence, the matching difference degree of each dimension resource data between the construction moment to be analyzed of the construction point to be analyzed and each construction moment of other construction points is analyzed, and the abnormality degree of each dimension resource data at the construction moment to be analyzed is obtained in combination with the reference degree; Based on the degree of abnormality, determine the resource data dimension where the abnormal ratio occurs and issue an early warning; The reference degree of each construction period of other construction points to the construction period to be analyzed is calculated as follows: Where, Indicates the construction points other than the one to be analyzed. The construction site The reference degree of each construction period to the construction period to be analyzed; Indicates the number of matching feature sequences; Indicates the The construction site The matching feature sequence is in The mean value of all elements in a construction period; Indicates the construction point to be analyzed The mean value of all elements of a ratio characteristic sequence during the construction period to be analyzed; represents the linear normalization function; The resource data sequence includes: equipment operator quantity sequence, equipment quantity sequence, energy consumption sequence and construction progress sequence; Analyze the proportional relationship between two dimensions in the resource data sequence of each construction site to obtain a matching feature sequence for each construction site, including: The proportional relationship between the equipment operator quantity sequence, the equipment quantity sequence and the energy consumption sequence at each construction site is analyzed to obtain a matching feature sequence for each construction site, wherein the matching feature sequence includes a personnel-equipment feature sequence, a personnel-energy feature sequence and an equipment-energy feature sequence.

2. The data intelligent management method in the water conservancy construction process according to claim 1 is characterized in that: Analyze the changes of all elements in the ratio feature sequence to obtain segmentation points, and divide all time series of each construction point into several construction time periods, including: Analyze the mutation degrees of all elements in the personnel-equipment feature sequence, the personnel-energy feature sequence, and the equipment-energy feature sequence respectively, and obtain the personnel-equipment mutation sequence, the personnel-energy mutation sequence, and the equipment-energy mutation sequence at each construction site; Sum the values of the personnel equipment mutation sequence, the personnel energy mutation sequence, and the equipment energy mutation sequence corresponding to the construction time to obtain a stage characteristic sequence for each construction point; The peak point of the stage characteristic sequence is used as the segmentation point, and all time series of each construction point are divided into several construction time periods.

3. The data intelligent management method in the water conservancy construction process according to claim 2 is characterized in that: Analyze the mutation degree of all elements in the personnel and equipment feature sequence to obtain the personnel and equipment mutation sequence of each construction site, including: For any construction point, any element in the personnel and equipment feature sequence of the construction point is used as the end of the window, and the construction length is The window is recorded as the change feature window of the element; Calculating the mean of all elements in the change characteristic window, and recording the absolute value of the difference between the element value and the mean as the mutation degree of the element; All elements in the personnel and equipment feature sequence of the construction site are traversed to obtain the personnel and equipment mutation sequence of each construction site.

4. The data intelligent management method in the water conservancy construction process according to claim 1 is characterized in that: The reference degree of each construction time period of other construction points to the construction time period to be analyzed is obtained, and then the following step further includes: correcting the reference degree according to the construction progress sequence to obtain a corrected reference degree.

5. The data intelligent management method in the water conservancy construction process according to claim 4 is characterized in that: According to the construction progress sequence, the reference level is corrected to obtain a corrected reference level, including: According to the construction progress sequence, the construction rate of each construction point at all construction moments is obtained; Based on the construction rate, analyzing the construction rate ratio relationship between the construction moment of the construction point to be analyzed and each construction moment of other construction points to obtain a construction rate factor; The reference degree is corrected according to the construction rate factor to obtain a corrected reference degree between the construction moment of the construction point to be analyzed and each construction moment of other construction points.

6. The data intelligent management method in the water conservancy construction process according to claim 4 is characterized in that: Based on the matching feature sequence, the matching difference degree of each dimension resource data between the construction moment to be analyzed of the construction point to be analyzed and each construction moment of other construction points is analyzed, and combined with the reference degree, the abnormality degree of each dimension resource data of the construction moment to be analyzed is obtained, including: Based on the personnel and equipment feature sequence and the personnel energy feature sequence, the personnel ratio difference between the construction moment to be analyzed at the construction point to be analyzed and each construction moment of other construction points is analyzed, and the personnel abnormality degree at the construction moment to be analyzed is obtained in combination with the correction reference degree; Based on the personnel and equipment feature sequence and the equipment energy feature sequence, analyzing the equipment ratio difference between the construction time to be analyzed of the construction point to be analyzed and each construction time of other construction points, and combining the correction reference degree to obtain the equipment abnormality degree at the construction time to be analyzed; Based on the personnel energy feature sequence and the equipment energy feature sequence, the energy ratio difference between the construction moment to be analyzed at the construction point to be analyzed and each construction moment of other construction points is analyzed, and combined with the correction reference degree, the energy abnormality degree of the construction moment to be analyzed is obtained.

7. An intelligent data management system for water conservancy construction, characterized in that: The system comprises: a memory and a processor, wherein: The memory is used to store program code; The processor is configured to read the program code stored in the memory and execute the method according to any one of claims 1 to 6.

8. The intelligent data management system for water conservancy construction according to claim 7 is characterized in that: The processor includes: Resource data acquisition module, used to obtain the construction progress sequence and multi-dimensional resource data sequence of each construction point; A ratio analysis module is used to analyze the proportional relationship between two dimensions in the resource data sequence of all construction moments of each construction site to obtain a ratio feature sequence for each construction site; The reference degree analysis module is used to analyze the changes in all elements in the ratio feature sequence, obtain segmentation points, and divide all time series of each construction point into several construction time periods; then, based on the ratio feature sequence, analyze the ratio similarity between the construction time period of the construction point to be analyzed and each construction time period of other construction points, and obtain the reference degree of each construction time period of other construction points to the construction time period to be analyzed; A resource data anomaly degree analysis module is configured to analyze, based on the ratio feature sequence, the ratio difference between the construction moment to be analyzed of the construction site to be analyzed and each construction moment of other construction sites, and to obtain the abnormality degree of the resource data of each dimension at the construction moment to be analyzed in combination with the reference degree; An abnormal resource warning module is used to determine the resource data dimension where the abnormal ratio occurs and issue an early warning based on the abnormality level; The resource data sequence includes: equipment operator quantity sequence, equipment quantity sequence, energy consumption sequence and construction progress sequence; Analyze the proportional relationship between two dimensions in the resource data sequence of each construction site to obtain a matching feature sequence for each construction site, including: The proportional relationship between the equipment operator quantity sequence, the equipment quantity sequence and the energy consumption sequence at each construction site is analyzed to obtain a matching feature sequence for each construction site, wherein the matching feature sequence includes a personnel-equipment feature sequence, a personnel-energy feature sequence and an equipment-energy feature sequence.

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