An evaluation index system and method for water conservancy project management based on cloud data

Abstract

The invention relates to the technical field of water conservancy engineering, and discloses an evaluation index system and method for water conservancy engineering management based on cloud data, comprising: acquiring comparison data in a storage database, collecting terrain data of a target detection area, forming analysis data, generating evaluation data, and generating selection data. The evaluation index system and method for water conservancy engineering management based on cloud data automatically compare and determine the similarity between the terrain data of each detection point and the comparison data in the database according to the collected terrain data, judge whether the collected terrain data is accurate, and automatically correct it to accurate data. According to the similarity between the terrain data of each detection point and the comparison data in the database, an evaluation index value is automatically generated, and the detection point most suitable for building a sluice gate in the target detection area is determined according to the evaluation index value, so that the data is more accurate, manpower is saved, and the detection cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy projects, and in particular to an evaluation index system and method for water conservancy project management based on cloud data. Background Art

[0002] The evaluation index system and method of water conservancy project management based on cloud data takes advantage of the cloud platform to realize centralized management, real-time update and multi-party collaboration of data, and improve the efficiency and management level of water conservancy project management, including: data collection and storage, data quality evaluation index, project progress management index, cost control index, quality management index, safety management index and effect evaluation index;

[0003] Establish a cloud platform to collect, store and manage various types of data related to water conservancy projects, determine data quality evaluation indicators, such as completeness, accuracy, consistency, timeliness, etc., to evaluate the reliability and effectiveness of data, formulate evaluation indicators for project progress management to monitor project progress and make timely adjustments, formulate evaluation indicators for cost control to control project costs, establish an evaluation indicator system for quality management to ensure project quality, determine evaluation indicators for safety management to ensure safety during project construction, and establish effect evaluation indicators to evaluate the comprehensive effect of the project.

[0004] The existing evaluation index system and method for water conservancy project management based on cloud data cannot automatically compare and determine the similarity between the terrain data of each detection point and the comparison data in the database based on the collected terrain data, cannot judge whether the collected terrain data is accurate and automatically correct it to accurate data, cannot automatically generate evaluation index values ​​based on the similarity between the terrain data of each detection point and the comparison data in the database, and cannot determine the most suitable detection point for building a sluice in the target detection area based on the evaluation index value. It consumes manpower and the data is prone to errors, which increases the detection cost and has certain limitations in its practicality. Summary of the invention

[0005] The present invention provides an evaluation index system and method for water conservancy project management based on cloud data, which are used to promote the solution of the problems raised in the background technology.

[0006] The present invention provides the following technical solution: an evaluation index system for water conservancy project management based on cloud data, comprising:

[0007] Acquisition module: obtains comparative data suitable for building sluice gates from the storage database;

[0008] The comparative data include the number of comparative rock layers, the composition of comparative rock layers and the height of comparative rock layers;

[0009] Detection module: collects terrain data of the target detection area through geological detection equipment;

[0010] The topographic data includes detected rock formation composition and detected rock formation height;

[0011] Analysis module: Based on the comparison data and terrain data, through data analysis strategy, analysis data is formed to determine the comparison results of terrain data and comparison data, so as to form evaluation scores for each detection point in the target detection area according to the comparison results;

[0012] Evaluation module: Based on the analysis data, through the evaluation analysis strategy, the evaluation data is generated to form an evaluation score for each detection point in the target detection area according to the comparison results, so as to determine the location of the detection point most suitable for the construction of the sluice gate according to the evaluation score;

[0013] Selection module: Based on the evaluation data, by selecting the analysis strategy, selection data is generated to determine the location of the most suitable detection point for building a sluice gate according to the evaluation score.

[0014] The present invention also discloses a method for using an evaluation index system for water conservancy project management based on cloud data, wherein: the terrain data of the target detection area is collected, specifically:

[0015] Get all detection points in the target detection area;

[0016] Set the collection distance;

[0017] With each detection point as the center and the collection distance as the radius, a collection range line is formed respectively;

[0018] Extract any point on the acquisition range line and set it as the first judgment point;

[0019] Taking the first determination point as the starting point, forming a first determination line through the detection point, and defining the intersection of the first determination line and the acquisition range line as the first intersection point;

[0020] Get the number of comparison detections;

[0021] Calculate the adjustment angle, adjustment angle = 360° ÷ number of comparison detections;

[0022] Take the first determination line as the starting line, take the detection point as the center point, and adjust the angle by rotating clockwise;

[0023] Then the rotated first determination line, first determination point and first intersection point are respectively determined as the second determination line, second determination point and second intersection point;

[0024] Take the second determination line as the starting line, the detection point as the center point, and adjust the angle in a clockwise direction;

[0025] Then the rotated second determination line, second determination point and second intersection point are respectively determined as the third determination line, third determination point and third intersection point;

[0026] The data collection strategy is executed separately for each detection point.

[0027] As a method of using an evaluation index system for water conservancy project management based on cloud data according to the present invention, the data collection strategy is specifically as follows:

[0028] The geological detection device comprises a detection rod with a detection head installed, the detection head is fixed to one end of the detection rod, the end of the detection rod with the detection head fixed is defined as the detection end, and the other end of the detection rod is defined as the adjustment end, and the detection head is provided with a component collection module;

[0029] Insert the detection end of the geological detection device into the detection point, and extract the position of the adjustment end to determine it as the adjustment position;

[0030] Taking the adjusted position as the origin, the detection end is moved from the detection point to the first determination point and the first intersection point in sequence;

[0031] The first decision point and the first intersection point form a first collection set;

[0032] Taking the adjusted position as the origin, move the detection end from the detection point to the second determination point and the second intersection point in sequence;

[0033] The second decision point and the second intersection point are used to form a second collection set;

[0034] Taking the adjusted position as the origin, move the detection end from the detection point to the third determination point and the third intersection point in sequence;

[0035] The third decision point and the third intersection point form a third collection set;

[0036] The data verification strategy is executed sequentially on the first collection set, the second collection set, and the third collection set.

[0037] As a method of using an evaluation index system for water conservancy project management based on cloud data according to the present invention, the data verification strategy is specifically as follows:

[0038] The rock strata numbers of the detection point, the target determination point and the target intersection point are respectively extracted and defined as the detection layer number, the first determination layer number and the second determination layer number, the target determination point is the first determination point, the second determination point and the third determination point, and the target intersection point is the first intersection point, the second intersection point and the third intersection point;

[0039] The midpoints of each rock layer corresponding to the detection layer number, the first determination layer number and the second determination layer number are respectively extracted and defined as the detection midpoint, the first determination midpoint and the second determination midpoint;

[0040] Extract the detected rock layer height of each detection midpoint and set it as the target detection height;

[0041] Extracting the detected rock layer height of each first determination midpoint and setting them as the first determination height respectively;

[0042] Extracting the detected rock layer height of each second determination midpoint and setting them as the second determination height respectively;

[0043] If the second determination height is ≤ the first determination height × (1 + 5%) and the second determination height is ≥ the first determination height × (1 - 5%), the target detection height is determined to be accurate data;

[0044] Implementing level determination strategy;

[0045] If the second determined height>the first determined height×(1+5%) or the second determined height<the first determined height×(1-5%), the detected height is determined to be error data and a data correction strategy is executed.

[0046] As a method of using an evaluation index system for water conservancy project management based on cloud data according to the present invention, the data correction strategy is specifically as follows:

[0047] If the second determination height is greater than the first determination height, the target intersection point corresponding to the second determination midpoint corresponding to the second determination height is identified as the target position point;

[0048] If the second determination height is less than the first determination height, the target determination point corresponding to the first determination midpoint corresponding to the first determination height is identified as the target position point;

[0049] Taking the detection point as the origin, move the adjustment end from the adjustment position to the target position point;

[0050] Obtaining the second determined height and the first determined height again;

[0051] If the second determination height is ≤ the first determination height × (1 + 5%) and the second determination height is ≥ the first determination height × (1 - 5%), the target detection height is determined to be accurate data;

[0052] If the second determined height is greater than the first determined height × (1 + 5%) or the second determined height is less than the first determined height × (1 - 5%), the detected height is determined to be error data, and the above steps are repeated until the target detected height is determined to be accurate data;

[0053] Execute the level determination strategy.

[0054] As a method of using an evaluation index system for water conservancy project management based on cloud data according to the present invention, the level determination strategy is specifically as follows:

[0055] Obtain the angle between the detection rod and the sea level corresponding to the target detection height, and define it as the judgment angle;

[0056] Set the angle threshold range;

[0057] If the angle is within the angle threshold range, the rock layer is judged to be level;

[0058] If the determination angle exceeds the angle threshold range, it is determined that the rock formation is uneven in levelness.

[0059] As a method of using an evaluation index system for water conservancy project management based on cloud data according to the present invention, the data analysis strategy is specifically as follows:

[0060] Extract the number of comparison rock layers and the number of detection layers at each detection point;

[0061] Extract the detected rock layer components of each rock layer corresponding to the contrasted rock layer components and the number of detected layers, and define them as target determination components;

[0062] Compare the target determination composition with the comparative rock formation composition;

[0063] Extract data with the same rock composition from the same rock formation and define them as similar data;

[0064] Obtaining the number of first similar data of the detection point, which is defined as the similarity number;

[0065] Obtain the quantity of all rock components and set it as the comparative quantity;

[0066] If the number of similarities is ≥ the number of comparisons × 60%, then the first comparison result is determined to be satisfied;

[0067] If the number of similarities is less than the number of comparisons × 60%, it is determined that the first comparison result is not satisfied;

[0068] Extract the target detection height of each rock layer corresponding to the comparison rock layer height and the number of detection layers;

[0069] If the target detection height is ≤ the comparison rock layer height × (1 + 5%) and the target detection height is ≥ the comparison rock layer height × (1 - 5%), it is determined that the second comparison result is met;

[0070] If the target detection height is greater than the comparison rock layer height × (1 + 5%) or the target detection height is less than the comparison rock layer height × (1 - 5%), it is determined that the second comparison result is not satisfied;

[0071] Extracting the levelness determination result;

[0072] If the rock layer is determined to be level, then the third comparison result is determined to be satisfied;

[0073] If it is determined that the rock layer is not level, it is determined that the third comparison result is not satisfied.

[0074] As a method of using an evaluation index system for water conservancy project management based on cloud data described in the present invention, wherein: the evaluation and analysis strategy is specifically:

[0075] Obtain the comparison results of each detection point in the target detection area;

[0076] Set evaluation scores;

[0077] Calculate a first score;

[0078] If the first comparison result is met, the first score = evaluation score × 30%;

[0079] If the first comparison result is not met, the first score = evaluation score × 15%;

[0080] calculating a second score;

[0081] If the second comparison result is met, the second score = evaluation score × 30%;

[0082] If the second comparison result is not met, the second score = evaluation score × 15%;

[0083] Calculate the third score;

[0084] If the third comparison result is met, the third score = evaluation score × 40%;

[0085] If the third comparison result is not met, the third score = evaluation score × 20%;

[0086] Calculate the evaluation index value of each detection point in the target detection area, evaluation index value = first score + second score + third score.

[0087] As a method of using an evaluation index system for water conservancy project management based on cloud data according to the present invention, the selection and analysis strategy is specifically:

[0088] Obtain the evaluation index value of each detection point in the target detection area;

[0089] Sort each evaluation index value from large to small according to the value, and set the evaluation index value with the largest value as the priority index value;

[0090] Extract the detection point corresponding to the priority index value and set it as the priority detection point;

[0091] The priority detection point is the preferred location point for building a sluice in the target detection area.

[0092] The present invention has the following beneficial effects:

[0093] 1. The evaluation index system and method for water conservancy project management based on cloud data automatically collects terrain data, including the midpoint height and composition of the rock formation, by inserting the geological detection device into the land at the detection point, and extracts the comparative data in the database. By analyzing and comparing the terrain data with the comparative data, the similarity of the two data is determined, which saves manpower and reduces detection costs.

[0094] 2. The evaluation index system and method for water conservancy project management based on cloud data sets the collection range line, inserts the geological detection device into the land at different angles and positions, compares the midpoint heights of the rock formations collected at different angles and positions, and determines whether the target detection height is accurate. If the data is inaccurate, the angle of the geological detection device is adjusted accordingly until the data is accurate, and obtains the angle between the detection rod and the sea level corresponding to the target detection height with accurate data, determines the horizontality of the rock formation at the detection point, and automatically corrects the data to make the data more accurate, save manpower, and reduce detection costs.

[0095] 3. The evaluation index system and method for water conservancy project management based on cloud data automatically generates evaluation index values ​​according to the similarity between the terrain data of each detection point and the comparison data in the database, and determines the most suitable detection point for building a sluice in the target detection area according to the evaluation index value. The data is more accurate, manpower is saved, and detection costs are reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0096] Figure 1 This is a block diagram of the evaluation index system for water conservancy project management based on cloud data of the present invention;

[0097] Figure 2 A method for using an evaluation index system for water conservancy project management based on cloud data in the present invention;

[0098] Figure 3 It is a schematic diagram of the collection range line of the present invention;

[0099] Figure 4 It is a schematic diagram of the geological exploration device of the present invention;

[0100] Figure 5 This is a schematic diagram of target detection height with accurate data of the present invention;

[0101] Figure 6 This is a schematic diagram of target detection height with inaccurate data in the present invention. DETAILED DESCRIPTION

[0102] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0103] Example 1: An evaluation index system for water conservancy project management based on cloud data, see Figure 1-2 ,include:

[0104] Acquisition module: obtains comparative data suitable for building sluice gates from the storage database;

[0105] The comparative data include the number of comparative rock layers, the composition of comparative rock layers and the height of comparative rock layers;

[0106] Detection module: collects terrain data of the target detection area through geological detection equipment;

[0107] The topographic data includes detected rock formation composition and detected rock formation height;

[0108] Analysis module: Based on the comparison data and terrain data, through data analysis strategy, analysis data is formed to determine the comparison results of terrain data and comparison data, so as to form evaluation scores for each detection point in the target detection area according to the comparison results;

[0109] Evaluation module: Based on the analysis data, through the evaluation analysis strategy, the evaluation data is generated to form an evaluation score for each detection point in the target detection area according to the comparison results, so as to determine the location of the detection point most suitable for the construction of the sluice gate according to the evaluation score;

[0110] Selection module: Based on the evaluation data, by selecting the analysis strategy, selection data is generated to determine the location of the most suitable detection point for building a sluice gate according to the evaluation score.

[0111] Through the above module, based on the collected terrain data, the similarity between the terrain data of each detection point in the target detection area and the comparison data suitable for building a sluice in the database is automatically compared to determine whether the collected terrain data is accurate, and automatically corrected to accurate data. According to the similarity between the terrain data of each detection point in the target detection area and the comparison data suitable for building a sluice in the database, an evaluation index value is automatically generated, and the most suitable detection point in the target detection area for building a sluice is determined according to the evaluation index value. The data is more accurate, and manpower is saved and detection costs are reduced.

[0112] Embodiment 2: This embodiment also discloses a method for using an evaluation index system for water conservancy project management based on cloud data, see Figure 3-6, the terrain data of the target detection area is collected, specifically:

[0113] Get all detection points in the target detection area;

[0114] Set the acquisition distance, which is a distance value used to form an acquisition range line to assist in determining whether the target detection height data is accurate;

[0115] With each detection point as the center and the collection distance as the radius, a collection range line is formed respectively. The collection range is used to determine auxiliary points and auxiliary lines to assist in determining whether the target detection height data is accurate. Among them, the auxiliary points are the first determination point, the second determination point, the third determination point, the first intersection point, the second intersection point and the third intersection point, and the auxiliary lines are the first determination line, the second determination line and the third determination line. Figure 3 As shown;

[0116] Extract any point on the acquisition range line and set it as the first judgment point, such as Figure 3 As shown;

[0117] Taking the first determination point as the starting point, the first determination line is formed through the detection point, and the intersection of the first determination line and the acquisition range line is defined as the first intersection point. Figure 3 As shown;

[0118] Obtaining the number of comparative detections, where the number of comparative detections is the number of auxiliary points for assisting in determining whether the target detection height data is accurate, the auxiliary points being the first determination point, the second determination point, the third determination point, the first intersection point, the second intersection point, and the third intersection point, so the number of comparative detections is 6;

[0119] Calculate the adjustment angle, adjustment angle = 360° ÷ comparison detection number, the comparison detection number is 6, so the adjustment angle is 60°;

[0120] Take the first determination line as the starting line, take the detection point as the center point, and adjust the angle by rotating clockwise;

[0121] Then the rotated first determination line, first determination point and first intersection point are respectively defined as the second determination line, second determination point and second intersection point. Figure 3 As shown;

[0122] Take the second determination line as the starting line, the detection point as the center point, and adjust the angle in a clockwise direction;

[0123] Then the rotated second determination line, second determination point and second intersection point are respectively determined as the third determination line, third determination point and third intersection point. Figure 3 As shown;

[0124] The data collection strategy is executed separately for each detection point.

[0125] The data collection strategy is specifically as follows:

[0126] The geological detection device comprises a detection rod with a detection head installed, the detection head is fixed to one end of the detection rod, the end of the detection rod with the detection head fixed is defined as the detection end, and the other end of the detection rod is defined as the adjustment end, and the detection head is provided with a component collection module, such as Figure 4 As shown;

[0127] Insert the detection end of the geological detection device into the detection point, and extract the position of the adjustment end to determine it as the adjustment position;

[0128] Taking the adjusted position as the origin, the detection end is moved from the detection point to the first determination point and the first intersection point in sequence;

[0129] The first decision point and the first intersection point form a first collection set, such as Figure 3 As shown;

[0130] Taking the adjusted position as the origin, move the detection end from the detection point to the second determination point and the second intersection point in sequence;

[0131] The second decision point and the second intersection point form a second collection set, such as Figure 3 As shown;

[0132] Taking the adjusted position as the origin, move the detection end from the detection point to the third determination point and the third intersection point in sequence;

[0133] The third decision point and the third intersection point form a third collection set, such as Figure 3 As shown;

[0134] The data verification strategy is executed sequentially on the first collection set, the second collection set, and the third collection set.

[0135] The data verification strategy is specifically as follows:

[0136] The rock strata numbers of the detection point, the target determination point and the target intersection point are respectively extracted and defined as the detection layer number, the first determination layer number and the second determination layer number, the target determination point is the first determination point, the second determination point and the third determination point, and the target intersection point is the first intersection point, the second intersection point and the third intersection point;

[0137] The midpoints of each rock layer corresponding to the detection layer number, the first determination layer number and the second determination layer number are respectively extracted and defined as the detection midpoint, the first determination midpoint and the second determination midpoint;

[0138] The detected rock layer height of each detection midpoint is extracted and set as the target detection height, such as Figure 4-6 As shown;

[0139] The detected rock layer height of each first judgment midpoint is extracted and set as the first judgment height, such as Figure 5-6 As shown;

[0140] The detected rock layer height of each second determination midpoint is extracted and set as the second determination height, such as Figure 5-6 As shown;

[0141] If the second determination height is ≤ the first determination height × (1 + 5%) and the second determination height is ≥ the first determination height × (1 - 5%), the target detection height is determined to be accurate data;

[0142] Implementing level determination strategy;

[0143] If the second determined height>the first determined height×(1+5%) or the second determined height<the first determined height×(1-5%), the detected height is determined to be error data and a data correction strategy is executed.

[0144] The data correction strategy is specifically as follows:

[0145] If the second determination height is greater than the first determination height, the target intersection point corresponding to the second determination midpoint corresponding to the second determination height is identified as the target position point;

[0146] If the second determination height is less than the first determination height, the target determination point corresponding to the first determination midpoint corresponding to the first determination height is identified as the target position point;

[0147] Taking the detection point as the origin, move the adjustment end from the adjustment position to the target position point;

[0148] Obtaining the second determined height and the first determined height again;

[0149] If the second determination height is ≤ the first determination height × (1 + 5%) and the second determination height is ≥ the first determination height × (1 - 5%), the target detection height is determined to be accurate data;

[0150] If the second determined height is greater than the first determined height × (1 + 5%) or the second determined height is less than the first determined height × (1 - 5%), the detected height is determined to be error data, and the above steps are repeated until the target detected height is determined to be accurate data;

[0151] Execute the level determination strategy.

[0152] The level determination strategy is specifically as follows:

[0153] Obtain the angle between the detection rod and the sea level corresponding to the target detection height, and define it as the judgment angle;

[0154] Setting an angle threshold range, wherein the angle threshold range is 80°-100°, for determining whether each rock layer is flat;

[0155] If the angle is within the angle threshold range, the rock layer is judged to be level;

[0156] If the determination angle exceeds the angle threshold range, it is determined that the rock formation is uneven in levelness.

[0157] Embodiment 3: This embodiment is an improvement made on the basis of Embodiment 2. The method of using the evaluation index system of water conservancy project management based on cloud data, and the data analysis strategy are specifically as follows:

[0158] Extract the number of comparison rock layers and the number of detection layers at each detection point;

[0159] Extract the detected rock layer components of each rock layer corresponding to the contrasted rock layer components and the number of detected layers, and define them as target determination components;

[0160] Compare the target determination composition with the comparative rock formation composition;

[0161] Extract data with the same rock composition from the same rock formation and define them as similar data;

[0162] Obtaining the number of first similar data of the detection point, which is defined as the similarity number;

[0163] Obtain the quantity of all rock components and set it as the comparative quantity;

[0164] If the number of similarities is ≥ the number of comparisons × 60%, then the first comparison result is determined to be satisfied;

[0165] If the number of similarities is less than the number of comparisons × 60%, it is determined that the first comparison result is not satisfied;

[0166] Extract the target detection height of each rock layer corresponding to the comparison rock layer height and the number of detection layers;

[0167] If the target detection height is ≤ the comparison rock layer height × (1 + 5%) and the target detection height is ≥ the comparison rock layer height × (1 - 5%), it is determined that the second comparison result is met;

[0168] If the target detection height is greater than the comparison rock layer height × (1 + 5%) or the target detection height is less than the comparison rock layer height × (1 - 5%), it is determined that the second comparison result is not satisfied;

[0169] Extracting the levelness determination result;

[0170] If the rock layer is determined to be level, then the third comparison result is determined to be satisfied;

[0171] If it is determined that the rock layer is not level, it is determined that the third comparison result is not satisfied.

[0172] This embodiment also provides that the evaluation and analysis strategy is specifically:

[0173] Obtain the comparison results of each detection point in the target detection area;

[0174] Setting an evaluation score, wherein the evaluation score is 100, for determining the specific situation of each detection point in the target detection area, thereby determining a location point suitable for constructing a sluice gate according to the final comparison result of the score;

[0175] Calculate a first score;

[0176] If the first comparison result is met, the first score = evaluation score × 30%;

[0177] If the first comparison result is not met, the first score = evaluation score × 15%;

[0178] calculating a second score;

[0179] If the second comparison result is met, the second score = evaluation score × 30%;

[0180] If the second comparison result is not met, the second score = evaluation score × 15%;

[0181] Calculate the third score;

[0182] If the third comparison result is met, the third score = evaluation score × 40%;

[0183] If the third comparison result is not met, the third score = evaluation score × 20%;

[0184] Calculate the evaluation index value of each detection point in the target detection area, evaluation index value = first score + second score + third score.

[0185] This embodiment also provides that the selection analysis strategy is specifically:

[0186] Obtain the evaluation index value of each detection point in the target detection area;

[0187] Sort each evaluation index value from large to small according to the value, and set the evaluation index value with the largest value as the priority index value;

[0188] Extract the detection point corresponding to the priority index value and set it as the priority detection point;

[0189] The priority detection point is the preferred location point for building a sluice in the target detection area.

[0190] In this embodiment, based on the collected terrain data, the terrain data of each detection point in the target detection area is automatically compared to determine the similarity between the comparison data suitable for building a sluice in the database, whether the collected terrain data is accurate is judged, and the data is automatically corrected to accurate data. According to the similarity between the terrain data of each detection point in the target detection area and the comparison data suitable for building a sluice in the database, an evaluation index value is automatically generated, and the detection point in the target detection area that is most suitable for building a sluice is determined according to the evaluation index value. The data is more accurate, and manpower is saved and detection costs are reduced.

[0191] The embodiments of the present disclosure also provide a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions are used to enable the computer to execute the evaluation index system and method for water conservancy project management based on cloud data in the aforementioned method embodiment.

[0192] It should be noted that more specific examples of computer-readable storage media may include portable computer disks, hard disks, erasable programmable read-only memories (EPROMs or flash memories), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present disclosure, computer-readable storage media may be any tangible medium that contains or stores a program, which may be used by or in combination with an instruction execution system, apparatus, or device, and the computer-readable medium may be contained in the electronic device; or it may exist independently without being assembled into the electronic device.

[0193] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device can implement the solution provided by the method embodiment.

[0194] Computer program code for performing operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, and may be executed entirely on a user's computer, partially on a user's computer, as a separate software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

Claims

1. An evaluation index system for water conservancy project management based on cloud data, characterized by: include: Acquisition module: obtains comparative data suitable for building sluice gates from the storage database; The comparative data include the number of comparative rock layers, the composition of comparative rock layers and the height of comparative rock layers; Detection module: collects terrain data of the target detection area through geological detection equipment; The topographic data includes detected rock formation composition and detected rock formation height; Analysis module: Based on the comparison data and terrain data, through data analysis strategy, analysis data is formed to determine the comparison results of terrain data and comparison data, so as to form evaluation scores for each detection point in the target detection area according to the comparison results; Evaluation module: Based on the analysis data, through the evaluation analysis strategy, the evaluation data is generated to form an evaluation score for each detection point in the target detection area according to the comparison results, so as to determine the location of the detection point most suitable for the construction of the sluice gate according to the evaluation score; Selection module: Based on the evaluation data, by selecting the analysis strategy, selection data is generated to determine the location of the most suitable detection point for constructing the sluice gate according to the evaluation score; The terrain data of the target detection area is specifically collected as follows: Get all detection points in the target detection area; Set the collection distance; With each detection point as the center and the collection distance as the radius, a collection range line is formed respectively; Extract any point on the acquisition range line and set it as the first judgment point; Taking the first determination point as the starting point, forming a first determination line through the detection point, and defining the intersection of the first determination line and the acquisition range line as the first intersection point; Get the number of comparison detections; Calculate the adjustment angle, adjustment angle = 360° ÷ number of comparison detections; Take the first determination line as the starting line, take the detection point as the center point, and adjust the angle by rotating clockwise; Then the rotated first determination line, first determination point and first intersection point are respectively determined as the second determination line, second determination point and second intersection point; Take the second determination line as the starting line, the detection point as the center point, and adjust the angle in a clockwise direction; Then the rotated second determination line, second determination point and second intersection point are respectively determined as the third determination line, third determination point and third intersection point; Execute the data collection strategy for each detection point separately; The data collection strategy is specifically as follows: The geological detection device comprises a detection rod with a detection head installed, the detection head is fixed to one end of the detection rod, the end of the detection rod with the detection head fixed is defined as the detection end, and the other end of the detection rod is defined as the adjustment end, and the detection head is provided with a component collection module; Insert the detection end of the geological detection device into the detection point, and extract the position of the adjustment end to determine it as the adjustment position; Taking the adjusted position as the origin, the detection end is moved from the detection point to the first determination point and the first intersection point in sequence; The first decision point and the first intersection point form a first collection set; Taking the adjusted position as the origin, move the detection end from the detection point to the second determination point and the second intersection point in sequence; The second decision point and the second intersection point are used to form a second collection set; Taking the adjusted position as the origin, move the detection end from the detection point to the third determination point and the third intersection point in sequence; The third decision point and the third intersection point form a third collection set; executing the data verification strategy on the first collection set, the second collection set, and the third collection set in sequence; The data verification strategy is specifically as follows: The rock strata numbers of the detection point, the target determination point and the target intersection point are respectively extracted and defined as the detection layer number, the first determination layer number and the second determination layer number, the target determination point is the first determination point, the second determination point and the third determination point, and the target intersection point is the first intersection point, the second intersection point and the third intersection point; The midpoints of each rock layer corresponding to the detection layer number, the first determination layer number and the second determination layer number are respectively extracted and defined as the detection midpoint, the first determination midpoint and the second determination midpoint; Extract the height of the detected rock layer at each detection midpoint and set them as the target detection height respectively; Extracting the detected rock layer height of each first determination midpoint and setting them as the first determination height respectively; Extracting the detected rock layer height of each second determination midpoint and setting them as the second determination height respectively; If the second determination height is ≤ the first determination height × (1 + 5%) and the second determination height is ≥ the first determination height × (1 - 5%), the target detection height is determined to be accurate data; Implementing level determination strategy; If the second determined height is greater than the first determined height × (1 + 5%) or the second determined height is less than the first determined height × (1 - 5%), the detected height is determined to be error data, and a data correction strategy is executed; The data correction strategy is specifically as follows: If the second determination height is greater than the first determination height, the target intersection point corresponding to the second determination midpoint corresponding to the second determination height is identified as the target position point; If the second determination height is less than the first determination height, the target determination point corresponding to the first determination midpoint corresponding to the first determination height is identified as the target position point; Taking the detection point as the origin, move the adjustment end from the adjustment position to the target position point; Obtaining the second determined height and the first determined height again; If the second determination height is ≤ the first determination height × (1 + 5%) and the second determination height is ≥ the first determination height × (1 - 5%), the target detection height is determined to be accurate data; If the second determined height is greater than the first determined height × (1 + 5%) or the second determined height is less than the first determined height × (1 - 5%), the detected height is determined to be error data, and the above steps are repeated until the target detected height is determined to be accurate data; Implementing level determination strategy; The level determination strategy is specifically as follows: Obtain the angle between the detection rod and the sea level corresponding to the target detection height, and define it as the judgment angle; Set the angle threshold range; If the angle is within the angle threshold range, the rock layer is judged to be level; If the determination angle exceeds the angle threshold range, it is determined that the rock formation is uneven in levelness.

2. A method for using the evaluation index system for water conservancy project management based on cloud data according to claim 1, characterized in that: The data analysis strategy is specifically as follows: Extract the number of comparison rock layers and the number of detection layers at each detection point; Extract the detected rock layer components of each rock layer corresponding to the contrasted rock layer components and the number of detected layers, and define them as target determination components; Compare the target determination composition with the comparative rock formation composition; Extract data with the same rock composition from the same rock formation and define them as similar data; Obtaining the number of first similar data of the detection point, which is defined as the similarity number; Obtain the quantity of all rock components and set it as the comparative quantity; If the number of similarities is ≥ the number of comparisons × 60%, then the first comparison result is determined to be satisfied; If the number of similarities is less than the number of comparisons × 60%, it is determined that the first comparison result is not satisfied; Extract the target detection height of each rock layer corresponding to the comparison rock layer height and the number of detection layers; If the target detection height is ≤ the comparison rock layer height × (1 + 5%) and the target detection height is ≥ the comparison rock layer height × (1 - 5%), it is determined that the second comparison result is met; If the target detection height is greater than the comparison rock layer height × (1 + 5%) or the target detection height is less than the comparison rock layer height × (1 - 5%), it is determined that the second comparison result is not satisfied; Extracting the levelness determination result; If the rock layer is determined to be level, then the third comparison result is determined to be satisfied; If it is determined that the rock layer is not level, it is determined that the third comparison result is not satisfied.

3. The method of the evaluation index system for water conservancy project management based on cloud data according to claim 2 is characterized by: The evaluation and analysis strategy is specifically as follows: Obtain the comparison results of each detection point in the target detection area; Set evaluation scores; Calculate a first score; If the first comparison result is met, the first score = evaluation score × 30%; If the first comparison result is not met, the first score = evaluation score × 15%; calculating a second score; If the second comparison result is met, the second score = evaluation score × 30%; If the second comparison result is not met, the second score = evaluation score × 15%; Calculate the third score; If the third comparison result is met, the third score = evaluation score × 40%; If the third comparison result is not met, the third score = evaluation score × 20%; Calculate the evaluation index value of each detection point in the target detection area, evaluation index value = first score + second score + third score.

4. The method of the evaluation index system for water conservancy project management based on cloud data according to claim 2 is characterized by: The selection analysis strategy is specifically: Obtain the evaluation index value of each detection point in the target detection area; Sort each evaluation index value from large to small according to the value, and set the evaluation index value with the largest value as the priority index value; Extract the detection point corresponding to the priority index value and set it as the priority detection point; The priority detection point is the preferred location point for building a sluice in the target detection area.

Images