Regional information analysis system based on human-computer interaction

Abstract

The present invention discloses a regional information analysis system based on human-computer interaction, which relates to the technical field of regional information analysis, including a data acquisition unit, a terrain analysis unit, a road planning analysis unit, and a human-computer interaction module; at the data acquisition and analysis level, a grid network is used to establish acquisition nodes to obtain rich data, the terrain analysis unit can accurately evaluate the regional terrain level and undulation, and the road planning analysis unit determines the road planning route based on the data screening nodes, and the user can easily select the region to input keywords. The system determines the matching theme through natural language processing and word vector calculation, triggers the corresponding analysis unit, and displays the results intuitively and clearly, meets personalized needs, and improves information acquisition and decision-making efficiency; in terms of practicality, it is widely applicable to planning fields such as cities, transportation, and resource development, especially plays an important role in areas with complex terrain, accurately evaluates and plans, avoids waste of resources, and helps regional development and construction and transportation facilitation.

Description

Technical Field

[0001] The present invention relates to the technical field of regional information analysis, and in particular to a regional information analysis system based on human-computer interaction. Background Art

[0002] With the continuous development of science and technology, regional information analysis plays a vital role in many fields. In the field of transportation planning, accurate road planning can improve transportation efficiency, reduce construction costs, and ensure traffic safety; in the fields of urban construction, agricultural development, resource development, etc., accurate grasp of regional terrain is also indispensable.

[0003] At present, traditional regional information analysis has many limitations. In terms of data collection, the previous data collection methods may not be comprehensive and accurate enough to accurately reflect the topographic and geomorphic characteristics of the region. In terrain analysis, there is a lack of systematic and efficient analysis methods. There is no unified calculation standard and process to accurately evaluate key indicators such as the average altitude and terrain undulation of the region. This makes it impossible to accurately judge whether the regional terrain is suitable for related projects when carrying out engineering construction planning, resource development and utilization, etc., increasing project risks and costs. For road planning analysis, traditional methods are difficult to comprehensively consider topographic factors to achieve scientific planning. In the planning process, key data such as the distance and slope between nodes cannot be accurately calculated, resulting in the planned roads may have problems such as steep slopes and long routes, which is not conducive to vehicle driving and later maintenance. At the same time, there is a lack of effective human-computer interaction systems, and it is impossible to accurately obtain user needs and provide targeted analysis results. When users obtain regional information analysis results, they often need to spend a lot of time to filter out what they need from complex data, which reduces work efficiency. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a regional information analysis system based on human-computer interaction.

[0005] The regional information analysis system based on human-computer interaction includes:

[0006] A data acquisition unit, used to obtain topographic data of multiple areas;

[0007] A terrain analysis unit, which is used to conduct terrain assessment and analysis on the topographic data of the relevant area;

[0008] Road planning and analysis unit, used to conduct road planning assessment and analysis based on the topographic data of the relevant area;

[0009] The human-computer interaction module is used for users to select a specific area and input required keywords, and determine the information analysis target required by the user. Then, based on the information analysis target, the results obtained by the road planning analysis unit and the terrain analysis unit are displayed to the user accordingly.

[0010] As a further solution of the present invention: the method for obtaining topographic data is:

[0011] In the relevant area, a grid network is selected for coverage, and then collection nodes are established in the relevant area according to the grid nodes of the grid network, and then the altitude and node coordinates of the relevant area at each collection node are collected.

[0012] As a further solution of the present invention: the terrain assessment and analysis method is as follows:

[0013] Step 1.1. Data extraction

[0014] Extract the altitude and node coordinates of the relevant area at each collection node;

[0015] Step 1.2, average altitude calculation

[0016] Then through , calculate the average altitude H in the relevant area u ;

[0017] Where Hi represents the altitude corresponding to each collection node, i=1, 2, ... n, and n represents the number of all collection nodes in the relevant area;

[0018] Step 1.3, Get the highest altitude node

[0019] Obtain the collection node with the largest altitude value and its corresponding node coordinates in the relevant area;

[0020] Step 1.4, horizontal distance calculation

[0021] pass Calculate the horizontal distance D between the collection node with the largest altitude value in the relevant area and each collection node max，j ;

[0022] Among them, (X j , Y j ) represents the node coordinates corresponding to the jth collection node in the relevant area; j=1, 2, ... n-1, n represents the number of all collection nodes in the relevant area, and the jth collection node does not include the collection node with the largest altitude value;

[0023] Step 1.5: Slope calculation

[0024] in accordance with Calculate the slope P between the collection node with the largest altitude value and other collection nodes max，j ;

[0025] Step 1.6, Slope standard deviation calculation

[0026] in accordance with , calculate all slopes P max，j The standard deviation P r , where P u For all slopes P max，j The average value of

[0027] Step 1.7, Determine the level and undulation of the terrain

[0028] The average altitude Hu is then compared with the preset altitude threshold Hy:

[0029] If H u >Hy, it indicates that the terrain of the relevant area is at a relatively high level;

[0030] If Hu≤Hy, it indicates that the terrain of the relevant area is at a low level;

[0031] At the same time, the standard deviation P r Compare with the preset slope difference threshold Py:

[0032] If P r >Py, it indicates that the terrain in the relevant area is undulating;

[0033] If P r ≤Py, it indicates that the terrain of the relevant area is relatively flat.

[0034] As a further solution of the present invention: the road planning evaluation and analysis method is as follows:

[0035] Step 2.1. Data acquisition

[0036] Extract the altitude and node coordinates of the relevant area at each collection node;

[0037] Step 2.2, get the node coordinates

[0038] Obtain the node coordinates corresponding to all acquisition nodes in the relevant area;

[0039] Step 2.3, horizontal distance calculation

[0040] pass , calculate the horizontal distance D between each collection node i，j ;

[0041] Among them, (X j , Y j) represents the node coordinates corresponding to the i-th acquisition node in the relevant area; (X j , Y j ) represents the node coordinates corresponding to the i-th acquisition node in the relevant area; j=1, 2, ... n-1, n represents the number of all acquisition nodes in the relevant area, where the node coordinates of i and j are different;

[0042] Step 2.4, get the coordinates of the start and end nodes

[0043] In the relevant area, obtain the coordinates of a node that is closest to the starting position of the road planning in the relevant area, and use the coordinates of the node as the starting point coordinates;

[0044] At the same time, in the relevant area, obtain the coordinates of a node that is closest to the end position of the road planning, and use the coordinates of the node as the end point coordinates;

[0045] Step 2.5, route selection point coordinate point screening

[0046] Take the coordinates of the starting point as the base point coordinates;

[0047] And according to the horizontal distance D between the coordinates of other nodes and the coordinates of the base point i，j Value, select D i，j Node coordinates whose values ​​are less than the preset distance threshold D1y;

[0048] At the same time, based on , calculate the slope P between the coordinates of other selected nodes and the coordinates of the base point i，j ;

[0049] Then select P i，j The node coordinates whose value is less than the preset slope threshold P1y are marked as the route selection point coordinates;

[0050] The coordinate points of the route selection are represented as the waypoints of road planning.

[0051] Step 2.6, route selection point coordinate point screening 2

[0052] Then, the coordinates of a selected route point are taken as the base point coordinates, and combined with the previous base point coordinates to form a road planning branch line;

[0053] And select the node coordinates whose horizontal distance value is less than the preset distance threshold D1y according to the horizontal distance value between other node coordinates and the base point coordinates;

[0054] Next, the slope between the coordinates of the other selected nodes and the coordinates of the base point is calculated;

[0055] Then, a node coordinate whose slope value is less than a preset slope threshold is selected, and the node coordinate is marked as a route selection point coordinate point of the road planning branch line;

[0056] Step 2.7: Determine the road planning route

[0057] And so on, until the end point coordinates are selected as the route selection point coordinates;

[0058] Then, the undeleted road planning branch line is obtained, which starts from the starting point coordinates as the base point coordinates and ends at the end point coordinates as the route selection point coordinates, and is recorded as the road planning route;

[0059] As a further solution of the present invention: in Step 2.5, when a P corresponding to a coordinate of another node i，j If the value is greater than or equal to the preset slope threshold P1y, the corresponding node coordinates will not be used as the route selection point coordinates;

[0060] When all other selected node coordinates correspond to P i，j If the values ​​are all greater than or equal to the preset slope threshold P1y, it means that the corresponding base point coordinates cannot be used as a waypoint for road planning.

[0061] As a further solution of the present invention: in Step 2.6, when the slope values ​​corresponding to all other selected node coordinates are greater than or equal to the preset slope threshold, it means that the corresponding base point coordinates cannot be used as the waypoint of the road planning branch line on the road planning, and the road planning branch line is deleted accordingly;

[0062] Among them, the coordinates of other nodes that have been used as base point coordinates are not selected as route selection point coordinates.

[0063] As a further solution of the present invention: wherein, when the starting point coordinates are taken as the base point coordinates and the end point coordinates are taken as the route selection point coordinates, and there are no undeleted road planning branches in between, it means that the relevant area is not suitable for road construction.

[0064] As a further solution of the present invention: the information analysis target includes: terrain analysis target and road planning analysis target;

[0065] When the human-computer interaction module determines that the information analysis target required by the user is a terrain analysis target, the terrain analysis unit is triggered to perform terrain assessment analysis;

[0066] When the human-computer interaction module determines that the information analysis target required by the user is a road planning analysis target, the road planning analysis unit is triggered to perform road planning evaluation analysis;

[0067] Wherein, the specific area is determined based on multiple areas;

[0068] As a further solution of the present invention: the information analysis target is determined as follows:

[0069] When the user selects a specific area, the preset analysis subject word library in the corresponding area is extracted from the database;

[0070] When the user enters the corresponding keyword, it performs semantic analysis through natural language processing technology;

[0071] At the same time, a similarity calculation method based on word vectors is used to convert the keywords entered by the user into word vectors, and the words in the pre-stored analysis subject word library are also converted into word vectors;

[0072] Then, the cosine similarity is calculated to determine the analysis topic that best matches the user's needs;

[0073] As a further solution of the present invention: the method for determining the analysis topic that best matches the user's needs is as follows:

[0074] The word vector after the keyword input by the user is converted is recorded as A=[A1, A2, A3, ...An];

[0075] The converted word vectors of the words in the standard analysis thesaurus are recorded as B=[B1, B2, B3, ... Bn];

[0076] Then the cosine similarity calculation formula is: ;

[0077] Calculate the matching degree between user needs and each analysis topic in the analysis topic word library, then extract the analysis topic with the greatest matching degree with user needs and use it as the information analysis target;

[0078] Among them, A·B represents the dot product of word vector A and word vector B, that is:

[0079] ;

[0080] |A| represents the modulus of the word vector A, that is:

[0081] ;

[0082] |B| represents the modulus of the word vector B, that is:

[0083] .

[0084] Compared with the prior art, the present invention has the following beneficial effects:

[0085] The present invention establishes grid network coverage in relevant areas through data acquisition units and sets acquisition nodes according to grid nodes, collects the altitude and node coordinates of each node, and provides a rich and accurate data basis for terrain analysis and road planning analysis.

[0086] In the present invention, the terrain analysis unit can comprehensively evaluate the topography of the relevant area, and obtain indicators such as the average altitude, the horizontal distance between the maximum acquisition node and each node, the slope and the slope standard deviation, so as to accurately judge whether the regional terrain is at a high or low level, as well as the terrain undulation, providing an important reference for regional planning and construction.

[0087] In the present invention, the road planning analysis unit calculates the horizontal distance and slope between nodes based on the collected topographic data, selects the node coordinates that meet the preset distance threshold and slope threshold as the route selection coordinate points, gradually determines the road planning line, and provides a scientific and reasonable solution for regional road planning.

[0088] In the present invention, the human-computer interaction module enables the user to conveniently select a specific area and input the required keywords. The system uses natural language processing technology and a similarity calculation method based on word vectors to quickly determine the analysis topic that best matches the user's needs, triggering the corresponding analysis unit to perform terrain assessment analysis or road planning assessment analysis to meet the user's personalized information needs. The user can intuitively view the results displayed by the system according to the information analysis target, thereby improving the user's efficiency in obtaining regional information and the accuracy of decision-making.

[0089] The present invention and the system can be widely used in the planning and construction of different regions, providing strong support for urban planning, transportation planning, resource development and other fields. For areas with complex terrain, the system can accurately assess the terrain conditions and plan roads, thereby improving the developability and traffic convenience of the region. When the system determines that the relevant area is not suitable for road construction, it can provide scientific basis for decision makers to avoid unnecessary waste of resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 is a system block diagram of the present invention;

[0091] Figure 2 It is a schematic diagram of the module flow of the terrain analysis unit in the present invention;

[0092] Figure 3 It is a schematic diagram of the module flow of the road planning and analysis unit in the present invention. DETAILED DESCRIPTION

[0093] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0094] Embodiment 1

[0095] See also Figure 1 and Figure 2 As shown, the present invention is a regional information analysis system based on human-computer interaction, comprising:

[0096] A data acquisition unit, used to obtain topographic data of multiple areas;

[0097] The method of obtaining topographic data is as follows:

[0098] In the relevant area, a grid network is selected for coverage, and then collection nodes are established in the relevant area according to the grid nodes of the grid network, and then the altitude and node coordinates of the relevant area at each collection node are collected;

[0099] A terrain analysis unit, which is used to conduct terrain assessment and analysis on the topographic data of the relevant area;

[0100] The terrain assessment analysis method is as follows:

[0101] Step 1.1, extract the altitude and node coordinates of the relevant area at each collection node;

[0102] Step 1.2, then pass , calculate the average altitude H in the relevant area u ;

[0103] Where Hi represents the altitude corresponding to each collection node, i=1, 2, ... n, and n represents the number of all collection nodes in the relevant area;

[0104] Step 1.3, obtain the collection node with the largest altitude value and its corresponding node coordinates in the relevant area;

[0105] Step 1.4, through Calculate the horizontal distance D between the collection node with the largest altitude value in the relevant area and each collection node max，j ;

[0106] Among them, (X j , Y j ) represents the node coordinates corresponding to the jth collection node in the relevant area; j=1, 2, ... n-1, n represents the number of all collection nodes in the relevant area, and the jth collection node does not include the collection node with the largest altitude value;

[0107] Step 1.5, basis Calculate the slope P between the collection node with the largest altitude value and other collection nodes max，j ;

[0108] Step 1.6, basis , calculate all slopes P max，j The standard deviation P r , where P u For all slopes P max，j The average value of

[0109] Step 1.7, then compare the average altitude Hu with the preset altitude threshold Hy:

[0110] If H u >Hy, it indicates that the terrain of the relevant area is at a relatively high level;

[0111] If Hu≤Hy, it indicates that the terrain of the relevant area is at a low level;

[0112] At the same time, the standard deviation P r Compare with the preset slope difference threshold Py:

[0113] If P r >Py, it indicates that the terrain in the relevant area is undulating;

[0114] If P r ≤Py, it indicates that the terrain of the relevant area is relatively flat.

[0115] This embodiment can obtain topographic data of multiple regions through the data acquisition unit, providing an accurate data basis for subsequent terrain analysis. The terrain analysis unit uses a scientific calculation method to accurately evaluate the terrain conditions of the relevant area. By calculating parameters such as the average altitude and the standard deviation of the slope between each acquisition node, it can be clearly determined whether the regional terrain is at a high or low level, and whether the terrain is undulating or relatively flat, providing an important basis for relevant planning and decision-making.

[0116] Embodiment 2

[0117] See also Figure 1 and Figure 3 As shown, as the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that the second embodiment further includes:

[0118] Road planning and analysis unit, used to conduct road planning assessment and analysis based on the topographic data of the relevant area;

[0119] The road planning assessment and analysis methods are as follows:

[0120] Step 2.1, extract the altitude and node coordinates of the relevant area at each collection node;

[0121] Step 2.2, obtain the node coordinates corresponding to all acquisition nodes in the relevant area;

[0122] Step 2.3, through , calculate the horizontal distance D between each collection node i，j ;

[0123] Among them, (X j , Y j ) represents the node coordinates corresponding to the i-th acquisition node in the relevant area; (X j , Y j ) represents the node coordinates corresponding to the i-th acquisition node in the relevant area; j=1, 2, ... n-1, n represents the number of all acquisition nodes in the relevant area, where the node coordinates of i and j are different;

[0124] Step 2.4, in the relevant area, obtain the coordinates of a node that is closest to the starting position of the road planning in the relevant area, and use the coordinates of the node as the starting point coordinates;

[0125] At the same time, in the relevant area, obtain the coordinates of a node that is closest to the end position of the road planning, and use the coordinates of the node as the end point coordinates;

[0126] Step 2.5, then take the starting point coordinates as the base point coordinates;

[0127] And according to the horizontal distance D between the coordinates of other nodes and the coordinates of the base point i，j Value, select D i，j Node coordinates whose values ​​are less than the preset distance threshold D1y;

[0128] At the same time, based on , calculate the slope P between the coordinates of other selected nodes and the coordinates of the base point i，j ;

[0129] Then select P i，j The node coordinates whose value is less than the preset slope threshold P1y are marked as the route selection point coordinates;

[0130] The coordinate points of the route selection are represented as waypoints of the road planning;

[0131] Among them, when the coordinates of another node correspond to P i，j If the value is greater than or equal to the preset slope threshold P1y, the corresponding node coordinates will not be used as the route selection point coordinates;

[0132] When all other selected node coordinates correspond to P i，j If the values ​​are all greater than or equal to the preset slope threshold P1y, it means that the corresponding base point coordinates cannot be used as waypoints for road planning;

[0133] Step 2.6, then take the selected route point coordinates as the base point coordinates, and combine them with the previous base point coordinates to form a road planning branch line;

[0134] And select the node coordinates whose horizontal distance value is less than the preset distance threshold D1y according to the horizontal distance value between other node coordinates and the base point coordinates;

[0135] Next, the slope between the coordinates of the other selected nodes and the coordinates of the base point is calculated;

[0136] Then, a node coordinate whose slope value is less than a preset slope threshold is selected, and the node coordinate is marked as a route selection point coordinate point of the road planning branch line;

[0137] When the slope values ​​corresponding to all other selected node coordinates are greater than or equal to the preset slope threshold, it means that the corresponding base point coordinates cannot be used as the waypoint of the road planning branch line on the road planning, and the road planning branch line is deleted accordingly;

[0138] Among them, the coordinates of other nodes that have been used as base point coordinates are not selected as route selection point coordinates;

[0139] Step 2.7, and so on, until the end point coordinates are selected as the route selection point coordinates;

[0140] Then, the undeleted road planning branch line is obtained, which starts from the starting point coordinates as the base point coordinates and ends at the end point coordinates as the route selection point coordinates, and is recorded as the road planning route;

[0141] Among them, when the starting point coordinates are taken as the base point coordinates and the end point coordinates are taken as the route selection point coordinates, and there is no undeleted road planning branch line between them, it means that the relevant area is not suitable for road construction;

[0142] This embodiment adds a road planning analysis unit on the basis of the first embodiment, which can perform road planning evaluation and analysis based on the topographic data of the region, and can determine the waypoints of road planning by calculating the horizontal distance and slope between the acquisition nodes, combined with the preset distance threshold and slope threshold, so as to plan a more reasonable road route. It can also accurately judge the areas that are not suitable for road construction, avoiding unnecessary waste of resources and engineering risks.

[0143] Embodiment 3

[0144] See also Figure 1 As shown, as the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is that in this embodiment, it also includes:

[0145] The human-computer interaction module is used for users to select a specific area and input required keywords, and determine the information analysis target required by the user;

[0146] Information analysis objectives include: terrain analysis objectives and road planning analysis objectives;

[0147] When the human-computer interaction module determines that the information analysis target required by the user is a terrain analysis target, the terrain analysis unit is triggered to perform terrain assessment analysis;

[0148] When the human-computer interaction module determines that the information analysis target required by the user is a road planning analysis target, the road planning analysis unit is triggered to perform road planning evaluation analysis;

[0149] Then, the results obtained by the road planning analysis unit and the terrain analysis unit are displayed to the user;

[0150] Wherein, the specific area is determined based on multiple areas;

[0151] The information analysis objectives are determined as follows:

[0152] When the user selects a specific area, the preset analysis subject word library in the corresponding area is extracted from the database;

[0153] When the user enters the corresponding keyword, it performs semantic analysis through natural language processing technology;

[0154] At the same time, a similarity calculation method based on word vectors is used to convert the keywords entered by the user into word vectors, and the words in the pre-stored analysis subject word library are also converted into word vectors;

[0155] Then, the cosine similarity is calculated to determine the analysis topic that best matches the user's needs;

[0156] The specific method is as follows:

[0157] The word vector after the keyword input by the user is converted is recorded as A=[A1, A2, A3, ...An];

[0158] The converted word vectors of the words in the standard analysis thesaurus are recorded as B=[B1, B2, B3, ... Bn];

[0159] Then the cosine similarity calculation formula is: ;

[0160] Calculate the matching degree between user needs and each analysis topic in the analysis topic word library, then extract the analysis topic with the greatest matching degree with user needs and use it as the information analysis target;

[0161] Among them, A·B represents the dot product of word vector A and word vector B, that is:

[0162] ;

[0163] |A| represents the modulus of the word vector A, that is:

[0164] ;

[0165] |B| represents the modulus of the word vector B, that is:

[0166] .

[0167] This embodiment introduces a human-computer interaction module, which enables users to select a specific area and enter the required keywords to determine the required information analysis target, greatly improving the flexibility and pertinence of the system. The natural language processing technology and the similarity calculation method based on word vectors can accurately determine the analysis topic that best matches the user's needs, improving the user experience and the accuracy of the analysis results. At the same time, the terrain analysis unit or the road planning analysis unit is triggered according to the user's needs, and the results are displayed to the user, meeting the user's personalized needs.

[0168] Embodiment 4

[0169] See also Figures 1 to 3 As shown, as the fourth embodiment of the present invention, when the present application is implemented specifically, compared with the first, second and third embodiments, the technical solution of this embodiment is to combine the solutions of the above-mentioned first, second and third embodiments for implementation.

[0170] This embodiment combines the advantages of the first, second and third embodiments, and can provide users with comprehensive regional information analysis services based on human-computer interaction. It can not only perform accurate terrain analysis, but also perform reasonable road planning assessment, while also meeting the personalized needs of users, and providing strong support for regional planning, engineering construction, etc.

[0171] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0172] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Regional information analysis system based on human-computer interaction, characterized in that: include: The data acquisition unit is used to obtain topographic data of multiple areas. The topographic data is obtained in the following way: In the relevant area, a grid network is selected for coverage, and then collection nodes are established in the relevant area according to the grid nodes of the grid network, and then the altitude and node coordinates of the relevant area at each collection node are collected; The terrain analysis unit is used to conduct terrain assessment and analysis on the topographic data of the relevant area. Based on the analysis results, the terrain status of the relevant area is obtained. The terrain assessment and analysis method is as follows: Step 1.1, extract the altitude and node coordinates of the relevant area at each collection node; Step 1.2, calculate the average altitude of the relevant area at each collection node, and record it as the average altitude in the relevant area; Step 1.3, obtain the collection node with the largest altitude value and its corresponding node coordinates in the relevant area; Step 1.4, calculate the horizontal distance between the collection node with the largest altitude value in the relevant area and each collection node through the Euclidean distance formula; Step 1.5, subtract the altitude of other collection nodes from the maximum altitude, and then divide the result by the horizontal distance between the collection node with the largest altitude value in the relevant area and the corresponding collection node, to obtain the slope between the collection node with the largest altitude value and other collection nodes; Step 1.6, calculate the standard deviation of the slope between the collection node with the largest altitude value and other collection nodes through the standard deviation calculation formula; Step 1.7, then compare the average altitude with the preset altitude threshold: If the average altitude is greater than the altitude threshold, it indicates that the terrain of the relevant area is at a relatively high level; If the average altitude is ≤ the altitude threshold, it indicates that the terrain of the relevant area is at a relatively low level; The standard deviation is also compared to a preset slope difference threshold: If the standard deviation is greater than the slope difference threshold, it indicates that the terrain in the relevant area is highly undulating; If the standard deviation is ≤ the slope difference threshold, it indicates that the terrain of the relevant area is relatively flat; The road planning analysis unit is used to evaluate and analyze road planning based on the topographic data of the relevant area. Based on the analysis results, the feasibility of road planning in the relevant area is obtained. The road planning evaluation and analysis method is as follows: Step 2.1, extract the altitude and node coordinates of the relevant area at each collection node; Step 2.2, obtain the node coordinates corresponding to all acquisition nodes in the relevant area; Step 2.3, calculate the horizontal distance between each acquisition node through the Euclidean distance formula; Step 2.4, in the relevant area, obtain the coordinates of a node that is closest to the starting position of the road planning in the relevant area, and use the coordinates of the node as the starting point coordinates; At the same time, in the relevant area, obtain the coordinates of a node that is closest to the end position of the road planning, and use the coordinates of the node as the end point coordinates; Step 2.5, then take the starting point coordinates as the base point coordinates; And according to the horizontal distance values ​​between other node coordinates and the base point coordinates, select the node coordinates whose horizontal distance value is less than the preset distance threshold; At the same time, the absolute values ​​of the differences between the other node coordinates and the altitude of the base point coordinates are calculated respectively, and then the results are divided by the horizontal distance between the other node coordinates and the base point coordinates to obtain the slope between the selected other node coordinates and the base point coordinates; Then, the node coordinates whose slope value is less than the preset slope threshold are selected, and the node coordinates are marked as the route selection point coordinate points; The coordinate points of the route selection are represented as waypoints of the road planning; Step 2.6, then take the selected route point coordinates as the base point coordinates, and combine them with the previous base point coordinates to form a road planning branch line; And select the node coordinates whose horizontal distance value is less than the preset distance threshold value according to the horizontal distance value between other node coordinates and the base point coordinates; Next, the slope between the coordinates of the other selected nodes and the coordinates of the base point is calculated; Then, a node coordinate whose slope value is less than a preset slope threshold is selected, and the node coordinate is marked as a route selection point coordinate point of the road planning branch line; Step 2.7, and so on, until the end point coordinates are selected as the route selection point coordinates; Then, the undeleted road planning branch line is obtained, which starts from the starting point coordinates as the base point coordinates and ends at the end point coordinates as the route selection point coordinates, and is recorded as the road planning route; The human-computer interaction module is used for users to select a specific area and input required keywords, and determine the information analysis target required by the user. Then, based on the information analysis target, the results obtained by the road planning analysis unit and the terrain analysis unit are displayed to the user accordingly.

2. The regional information analysis system based on human-computer interaction according to claim 1, characterized in that: In Step 2.5, when the slope value corresponding to another node coordinate is greater than or equal to the preset slope threshold, the corresponding node coordinate is not used as the route selection point coordinate point; When the slope values ​​corresponding to all other selected node coordinates are greater than or equal to the preset slope threshold, it means that the corresponding base point coordinates cannot be used as waypoints for road planning.

3. The regional information analysis system based on human-computer interaction according to claim 1 is characterized in that: In Step 2.6, when the slope values ​​corresponding to all other selected node coordinates are greater than or equal to the preset slope threshold, it means that the corresponding base point coordinates cannot be used as the waypoint of the road planning branch line on the road planning, and the road planning branch line is deleted.

4. The regional information analysis system based on human-computer interaction according to claim 3 is characterized in that: in, The coordinates of other nodes that have been used as base point coordinates will not be selected as route selection point coordinates.

5. The regional information analysis system based on human-computer interaction according to claim 1, characterized in that: in, When the starting point coordinates are used as the base point coordinates to start and the end point coordinates are used as the route selection point coordinates to end, if there is no undeleted road planning branch line between the two, it means that the relevant area is not suitable for road construction.

6. The regional information analysis system based on human-computer interaction according to claim 1 is characterized in that: Information analysis objectives include: terrain analysis objectives and road planning analysis objectives; When the human-computer interaction module determines that the information analysis target required by the user is a terrain analysis target, the terrain analysis unit is triggered to perform terrain assessment analysis; When the human-computer interaction module determines that the information analysis target required by the user is a road planning analysis target, the road planning analysis unit is triggered to perform road planning evaluation analysis.

7. The regional information analysis system based on human-computer interaction according to claim 6 is characterized in that: The information analysis objectives are determined as follows: When the user selects a specific area, the preset analysis subject word library in the corresponding area is extracted from the database; When the user enters the corresponding keyword, it performs semantic analysis through natural language processing technology; At the same time, a similarity calculation method based on word vectors is used to convert the keywords entered by the user into word vectors, and the words in the pre-stored analysis subject word library are also converted into word vectors; Then, the cosine similarity is calculated between the word vectors converted from the keywords input by the user and the word vectors converted from the words in the standard analysis subject vocabulary to obtain the matching degree between the user needs and the various analysis topics in the analysis subject vocabulary. Then, the analysis topic with the greatest matching degree with the user needs is extracted and used as the information analysis target.

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