Emergency situation comprehensive method and electronic equipment for emergencies

Abstract

The invention provides an emergency situation comprehensive method and electronic equipment for an emergency. The method comprises the following steps: determining the highest administrative level of a research area, and performing symbol synthesis according to density area division; if the highest administrative level is the city level, performing emergency situation symbol synthesis on all emergency situation symbols in each county in the research area and a density area divided according to the village and town level according to a synthesis rule to obtain the emergency situation symbols of each county in the research area, and adding the emergency situation symbols into a resource pool; if the research area is the provincial level, emergency situation symbol synthesis is carried out on all emergency situation symbols of each city in the research area and density areas divided according to the county level according to a synthesis rule to obtain the emergency situation symbols of each city in the research area, and the emergency situation symbols are added to a resource pool; and finally, if the number of symbols in the resource pool is not greater than the symbol load, directly carrying out conflict detection, and if no conflict exists, comprehensively ending. According to the method, the attribute characteristics of the emergency situation symbols and the emergency location management requirements can be considered.

Description

Technical Field

[0001] The present invention relates to the technical field of symbol integration, and in particular to an emergency situation integration method and electronic equipment for transmitting and expressing information under different emergency conditions. Background Art

[0002] Combined with the characteristics of my country's emergency management and in accordance with the provisions of my country's "Emergency Response Law", my country's emergency management is government-led, and the management of emergencies has obvious administrative characteristics. When an emergency occurs, it is immediately under the jurisdiction of the administrative department of the place where the incident occurs, and the allocation of resources also has clear administrative boundaries. Therefore, the distance between emergency support resources and the place where the emergency occurs cannot be the main basis for integration. This involves the integration of symbol attributes. Traditional cartographic integration often does not focus on attribute integration, but is usually a combination of simple symbols. The emergency situation integration that takes into account attribute information can well meet the needs of my country's emergency management work.

[0003] Although cartographic synthesis and situation synthesis have similarities, the ideas of synthesis are essentially different. From the perspective of the purpose of synthesis, geographic information cartographic synthesis aims to comprehensively and thoroughly reflect the geographical situation of the real world, while situation synthesis focuses on the spatial distribution, development trends and action deployment of current information; from the perspective of the object of synthesis, cartographic synthesis focuses on the symbols displayed on the map of geographic information, and rarely considers attributes. On the contrary, the object of situation synthesis is information and its symbols, and attributes must be taken into account for synthesis; from the perspective of the focus of synthesis, cartographic synthesis pays more attention to map symbols, and map symbols and map annotations exist at the same time, but situation synthesis focuses on the overall expression of symbols and attribute information, and information is still expressed after the situation symbols are discarded. It can be seen that situation synthesis is different from traditional cartographic synthesis to a certain extent, and the method of cartographic synthesis cannot be fully extended to the field of situation synthesis. my country has conducted less research on emergency situation synthesis, and the technology is not particularly mature. Most of the research focuses on the marking of map symbols and map synthesis technology, and lacks the synthesis of situation symbols, so more in-depth research is needed.

[0004] At present, the calculation of symbol quantity selection is mostly concentrated on settlements with uniform spatial distribution, and it is impossible to accurately select symbols of emergency resource status with spatial heterogeneity and different levels; in the quality selection, there is a lack of constraints on attribute information and administrative divisions, and it is impossible to meet the requirements of emergency management to divide resources based on territorial jurisdiction. Summary of the invention

[0005] The current cartographic synthesis technology focuses on the spatial distribution of symbols and the synthesis of graphics, but pays less attention to the synthesis of attributes, which makes it difficult to meet the requirements of comprehensive global expression of situations; and in the field of emergency situation synthesis, it ignores the combination of emergency attribute characteristics and territorial management needs in emergency management. In order to solve the above problems, the present invention provides an emergency situation synthesis method and electronic equipment for emergencies, which can take into account the attribute characteristics of emergency situation symbols and the emergency territorial management needs.

[0006] In a first aspect, the present invention provides a comprehensive method for emergency response, comprising:

[0007] Step 1: Determine the highest administrative level of the study area and perform symbol synthesis based on density zone division;

[0008] Step 2: If the highest administrative level is municipal, execute step 3, and then execute step 5; if the highest administrative level is provincial, execute steps 3 and 4 in sequence, and then execute step 5;

[0009] Step 3: According to the comprehensive rules, all emergency situation symbols in each county in the study area are integrated according to the density areas divided at the township level to obtain the emergency situation symbols of each county in the study area and add them to the resource pool;

[0010] Step 4: According to the comprehensive rules, all emergency situation symbols of each city in the study area are integrated according to the density areas divided at the county level to obtain the emergency situation symbols of each city in the study area and add them to the resource pool;

[0011] Step 5: Determine whether the number of emergency situation symbols in the resource pool is greater than the symbol load N. If so, the emergency situation symbols in the resource pool are integrated into N according to the quality selection model, and conflict detection is performed. If there is no conflict, the integration ends; if not, conflict detection is directly performed on the emergency situation symbols in the resource pool. If there is no conflict, the integration ends.

[0012] Furthermore, step 5 also includes: if there is a conflict, a displacement operation is performed on the conflicting emergency situation symbol.

[0013] Furthermore, the comprehensive rules specifically include:

[0014] At the current administrative level, all lower-level emergency situation symbol density areas in each area corresponding to the current administrative level in the study area are divided into A density levels; wherein the lower-level emergency situation symbol density area refers to the density area formed by dividing the emergency situation symbols according to the administrative level below the current administrative level; it can be understood that A is an integer greater than or equal to 1;

[0015] For each density level, symbol integration is performed on each of the lower-level emergency situation symbol density areas under the density level according to the symbol load corresponding to the current density level, and a conflict detection is performed on the symbol integration results. If there is no conflict, all emergency situation symbols corresponding to the symbol integration results are added to the resource pool.

[0016] Further, for each density level, symbol integration is performed on each of the lower-level emergency situation symbol density areas under the density level according to the symbol load corresponding to the current density level, specifically including:

[0017] If the symbol load N corresponding to the current density level is greater than the number of symbols M in the lower-level emergency situation symbol density area, then directly perform conflict detection on the M symbols in the lower-level emergency situation symbol density area, and if there is no conflict, then add the M symbols to the resource pool;

[0018] If the symbol load N corresponding to the current density level is not greater than the number of symbols M in the lower-level emergency situation symbol density area, the M symbols in the lower-level emergency situation symbol density area are integrated into N symbols, and the integrated N symbols are detected for conflicts. If there is no conflict, the integrated N symbols are added to the resource pool.

[0019] Furthermore, it also includes: calculating the emergency situation symbol density of each density zone in the study area according to the following formula:

[0020]

[0021] S ni =S n +S tn

[0022] Where H represents the emergency situation symbol density of the ith density zone in the study area, N i represents the number of emergency situation symbols in the ith density zone, S i represents the actual area of ​​the ith density zone, β represents the conversion index between paper map and electronic map load calculation, ∑ n＝1 S ni S represents the sum of the areas of n-level symbols in the ith density zone. n Represents the area of ​​the n-level symbol, S tn Indicates the annotation area of ​​the n-level symbol, S mi It represents the area on the map under the m scale in the i-th density zone.

[0023] Furthermore, the quality selection model specifically includes:

[0024]

[0025] Among them, i represents the element of the emergency situation symbol, G i represents the probability of selecting emergency situation symbols, R i represents the administrative district constraint weight factor, D i Indicates the distance from the emergency situation symbol to the SOM cluster center, M i Indicates the correlation between the emergency situation symbol and the emergency theme, B i represents the fuzzy matrix, F i represents the first-order proximity value, ρ i Indicates the distribution density represented by the area occupied by the Voronoi diagram.

[0026] Furthermore, the displacement operation specifically includes:

[0027] The points where the two conflicting emergency situation symbols are located are recorded as point A(x a ,y a ) and point C(x c ,y c ), assuming that point A is shifted, the shifted point A′(x′) is calculated according to the following formula: a , y′ a ):

[0028]

[0029] Among them, m is the minimum distance between the center points of the two conflicting emergency situation symbols, and d is the actual distance between point A and point c before displacement.

[0030] Furthermore, the conflict detection specifically includes: abstracting the emergency situation symbol into a point symbol or a line symbol, performing conflict detection between point symbols using a first conflict detection rule, and performing conflict detection between point symbols and line symbols using a second conflict detection rule;

[0031] The first conflict detection rule specifically includes: establishing a minimum circumscribed rectangle and Thiessen polygon for a point symbol; setting a minimum visual distance between two point symbols; calculating the distance D between adjacent point symbols A and B based on the Thiessen polygon. 1 ; Calculate the length of the minimum circumscribed rectangle of each point symbol A and B respectively; Calculate the distance D 1 and the sum of the two lengths, if the difference is less than the minimum visual distance, there is a conflict, otherwise there is no conflict;

[0032] The second conflict detection rule specifically includes: establishing a minimum circumscribed rectangle for the point symbol A, establishing a buffer zone with a minimum visual distance using the center line of the line symbol L as the axis of symmetry; calculating the vertical distance D from the point symbol A to the line symbol L 2 ; Calculate the distance d from point symbol A to the minimum enclosing rectangle 1Minimum buffer distance d from line symbol L 2 ; Calculate the vertical distance D 2 With distance d 1 and distance d 2 If the difference is less than the minimum visual distance, there is a conflict, otherwise there is no conflict.

[0033] Furthermore, the coding of the emergency situation symbol is used to indicate at least six types of information of the emergency situation symbol, namely: type, geometric attribute, emergency status, classification and grading, administrative division relationship and information level.

[0034] In a second aspect, the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method described in the first aspect.

[0035] Beneficial effects of the present invention:

[0036] (1) In view of the fact that current cartographic synthesis focuses on the spatial distribution of symbols and graphic synthesis, and the problem that the existing emergency situation synthesis method ignores the characteristics of emergency territorial management, the present invention provides an emergency situation synthesis method for emergencies from the perspective of emergency. The method is an emergency situation synthesis method based on the administrative district level, which provides a solution to the difficult problem of symbol synthesis proximity processing of emergency situation symbols under administrative boundary constraints, and at the same time improves the shortcomings of cartographic synthesis in attribute synthesis and improves the readability of the emergency situation map.

[0037] (2) The present invention realizes the intuitive, overview and analytical expression of emergency information, reduces information overload and improves decision-making efficiency. In the face of the information flood during large-scale emergencies, by screening and integrating information and plotting the emergency situation to achieve information visualization, it helps emergency management personnel quickly grasp the current situation, avoids the time wasted by in-depth text research, reduces the risk of information overload, and makes the situation easier to understand, ensuring a smooth transition from information advantage to decision-making advantage.

[0038] (3) The coding method of emergency situation symbols has been enriched and improved from multiple perspectives such as administrative divisions and emergency status, improving the shortcomings of the previous coding perspective of singleness and neglect of administrative divisions. Six attribute information including administrative divisions, emergency status and information level are integrated into the coding information of emergency situation symbols. On the one hand, the interpretability of the symbols is improved. On the other hand, it provides a basis for the selection of emergency situation symbols when performing situation synthesis. When performing situation synthesis, emergency situation symbols with urgent emergency status and higher information level can be given priority.

[0039] (4) A model for selecting the quantity and quality of emergency situation symbols for emergencies was established. Based on the characteristics of the size and uneven spatial distribution of emergency situation symbols for emergencies, a model for selecting the quantity of emergency situation symbols for emergencies was constructed, taking into account both the symbol area and distribution density, solving the problem of selecting the quantity of point symbols; in view of the lack of administrative division constraints during quality selection, which cannot meet the requirements of emergency management to divide resources based on territorial jurisdiction, a model for selecting the quality of emergency situation symbols for emergencies was established that takes into account both attribute constraints and spatial distribution dimensions, providing more reliable information support for emergency management and decision-making.

[0040] (6) Provide emergency support teams with comprehensive emergency situation information from macro to micro scales, improving decision-making efficiency. As the map scale is adjusted, situation symbols need to change accordingly to avoid overlapping and overlapping problems. The present invention integrates multi-scale symbols driven by attribute information and performs conflict detection on the integrated results. When conflicts exist, the conflicts are eliminated through displacement operations, thereby displaying comprehensive and accurate situation symbols at multiple scales, providing emergency support teams at different levels with emergency situation information at multiple scales at different levels, and assisting them in making more comprehensive and scientific decisions.

[0041] (7) The Dabie Mountain area with multiple administrative levels was used as an experimental area. The emergency situation symbols under different emergency conditions of forest fires in the Dabie Mountain area were synthesized to verify the feasibility, scientificity and effectiveness of the method and model of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 One of the flow diagrams of a method for synthesizing emergency response situations of sudden incidents provided by an embodiment of the present invention;

[0043] Figure 2 Classification of emergency situation symbols for emergencies provided by the embodiment of the present invention;

[0044] Figure 3 A coding framework provided for an embodiment of the present invention;

[0045] Figure 4 A second flow chart of a comprehensive method for emergency response situation of an emergency event provided by an embodiment of the present invention;

[0046] Figure 5 The range simplification result of the minimum convex hull based on alpha provided in the embodiment of the present invention;

[0047] Figure 6 A comprehensive illustration of the situation symbol displacement provided by an embodiment of the present invention;

[0048] Figure 7 The comprehensive results of the comprehensive model of the situation at the county level and above in the Dabie Mountain area provided by the embodiment of the present invention;

[0049] Figure 8 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all 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.

[0051] Example 1

[0052] like Figure 1 As shown, an embodiment of the present invention provides a method for integrating emergency response status of an emergency, comprising the following steps:

[0053] S101: Determine the highest administrative level of the study area and perform symbol synthesis based on density zone division;

[0054] Specifically, the administrative levels from low to high are: township level, county level, city level and provincial level. Taking the Dabie Mountain area as an example, it is known that the Dabie Mountain area is mainly composed of the border areas of Anhui Province, Hubei Province and Henan Province, so it can be determined that the highest administrative level corresponding to the Dabie Mountain area is provincial level.

[0055] S102: If the highest administrative level is the municipal level, execute S103, and then execute S105; if the highest administrative level is the provincial level, execute S103 and S104 in sequence, and then execute S105;

[0056] S103: According to the comprehensive rules, all emergency situation symbols in each county in the study area are integrated according to the density areas divided at the township level, and the emergency situation symbols of each county in the study area are obtained and added to the resource pool;

[0057] S104: According to the comprehensive rules, all emergency situation symbols of each city in the study area are integrated according to the density areas divided at the county level to obtain the emergency situation symbol of each city in the study area and add it to the resource pool;

[0058] S105: Determine whether the number of emergency situation symbols in the resource pool is greater than the symbol load N. If so, integrate the emergency situation symbols in the resource pool into N according to the quality selection model, and perform conflict detection. If there is no conflict, the integration ends; if not, directly perform conflict detection on the emergency situation symbols in the resource pool. If there is no conflict, the integration ends.

[0059] It can be understood that the symbol load N refers to the number of emergency situation symbols that each density area in the study area on the map can carry at the target scale.

[0060] In view of the fact that current cartographic synthesis focuses on the spatial distribution of symbols and graphic synthesis, and the problem that the existing emergency situation synthesis method ignores the characteristics of emergency territorial management, the emergency situation synthesis method for emergencies provided in the embodiment of the present invention is an emergency situation synthesis method based on the administrative district level, which provides a solution to the difficult problem of symbol synthesis proximity processing of emergency situation symbols for emergencies under administrative boundary constraints.

[0061] Example 2

[0062] On the basis of the above embodiment, the comprehensive rule specifically includes: at the current administrative level, all lower-level emergency situation symbol density areas in each area corresponding to the current administrative level in the study area are divided into A density levels; wherein the lower-level emergency situation symbol density area refers to the density area formed by dividing the emergency situation symbol according to the administrative level below the current administrative level;

[0063] Specifically, at the county administrative level, all township-level emergency situation symbol density areas in each county should be divided into A density levels; at the city administrative level, all county-level emergency situation symbol density areas in each city should be divided into A density levels.

[0064] It can be understood that the density area is graded according to the number of emergency situation symbols contained in the density area. For example, in this embodiment, the density levels are from high to low: dense area, dense area, medium dense area, sparse area and very sparse area.

[0065] For each density level, symbol integration is performed on each of the lower-level emergency situation symbol density areas under the density level according to the symbol load corresponding to the current density level, and a conflict detection is performed on the symbol integration results. If there is no conflict, all emergency situation symbols corresponding to the symbol integration results are added to the resource pool.

[0066] Specifically, if the symbol load N corresponding to the current density level is greater than the number of symbols M in the lower-level emergency situation symbol density area, conflict detection is directly performed on the M symbols in the lower-level emergency situation symbol density area, and if there is no conflict, the M symbols are added to the resource pool;

[0067] For example, at the county level, the symbol load N of the dense area is set to 30, and the number of symbols M in the township-level emergency situation symbol density area belonging to the dense area is 20. At this time, the number of symbols in the density area M=20<30=N. Within the carrying range, all 20 symbols in the density area should be selected, and then conflict detection and elimination should be performed.

[0068] If the symbol load N corresponding to the current density level is not greater than the number of symbols M in the lower-level emergency situation symbol density area, the M symbols in the lower-level emergency situation symbol density area are integrated into N symbols, and the integrated N symbols are detected for conflicts. If there is no conflict, the integrated N symbols are added to the resource pool.

[0069] In this embodiment, the integration is preferentially started from the dense area, followed by the dense area, the medium dense area, the sparse area and the very sparse area.

[0070] Example 3

[0071] On the basis of the above embodiments, in order to improve the interpretability of the emergency situation symbols in the comprehensive method, the embodiments of the present invention combine the characteristics of emergency territorial management and the comprehensive characteristics of the situation to integrate at least the following 6 types of information in the encoding of the emergency situation symbols of sudden events.

[0072] Specifically, this embodiment adopts an 18-bit encoding method for the emergency situation symbol of an emergency. Referring to the classification of emergency situation symbols, more complex and abstract categories are represented by one bit, and the uppercase English letters A to Y are used for the front ones; in order to avoid confusion with Arabic numerals 0, 1, and 2, o, i, z, O, I, and Z do not appear in the lowercase and uppercase English letters used in the encoding process of the present invention, unless otherwise specified.

[0073] When the classification is more detailed, the required capacity increases, and two digits can be used to represent it, that is, 00 to 99. The expansion of the code follows certain expansion principles. For example, if one Arabic numeral is used for coding, when the classification category is less than 10 digits, it is represented by 1 to 9, and when it is greater than or equal to 10 digits, it is represented by lowercase English letters a to y. If two Arabic numerals are used for coding, when it is less than 100 digits, 00 to 99 is used, and when it is greater than or equal to 100 digits, it is encoded in sequence with lowercase English letters, such as 9a, 9b, 9c, ..., 9y, a1, a2, ..., yy.

[0074] The specific coding parts and their meanings are as follows:

[0075] (1) The first part indicates the coding category, that is, the specific classification of emergency situation symbols. According to the classification principle of the standard "Basic Principles and Methods of Information Classification and Coding", the categories of emergency event symbols can be divided into seven categories. This code is represented by capital letters, such as Figure 2As shown, they are: emergency symbol (A), protection target symbol (B), hazard source symbol (C), emergency support resource symbol (D), man-made linear emergency symbol (E), natural linear emergency symbol (F), and regional identification symbol (G). When the classification level exceeds seven, it can be expanded in A to Y (in order to prevent confusion with Arabic numerals 0, 1, and 2, capital English letters O, I, and Z are not used).

[0076] (2) The second part represents geometric attributes, namely point, line and surface geometric attributes. The geometric attributes of the emergency situation symbols currently classified by the present invention are completely included in these three attributes and are represented by capital letters. Among them, P represents point data (point), L represents line data (line), and S represents surface data (surface).

[0077] (3) The third part is the emergency status, that is, the characteristics of the emergency or emergency support facilities at different stages. These characteristic periods are classified and coded so that the status of the emergency can be understood in a timely manner, as shown in Table 1. When the coding type is an emergency symbol or a hazard source symbol, the emergency status is divided into the latent period, the subsidence period, the relief period, the outbreak period and the climax period from low to high in terms of importance, represented by Arabic numerals 1 to 5 respectively; when the coding type is a protection target symbol, an emergency support resource symbol, an artificial linear emergency symbol, a natural linear emergency symbol or a regional identification symbol, the emergency status is divided into the normal state, the recovery state, the early warning state, the partial emergency state and the comprehensive emergency state in terms of importance, also represented by Arabic numerals 1 to 5 respectively.

[0078] Table 1 Emergency status sorting and coding according to importance

[0079]

[0080] (4) The fourth part shows the classification and grading of emergency situation symbols, that is, the emergency situation symbols are divided according to their attributes and levels. The "Emergency Mapping Symbols Specifications for Emergencies", "Basic Principles and Methods for Information Classification and Coding" and "National Emergency Platform System Information Resource Classification and Coding Specifications" can further divide each category of symbols into three levels. The coding framework is as follows Figure 3 As shown. The first-level classification is represented by one Arabic letter. When there are more than 9 categories, lowercase English letters are used. To prevent confusion with Arabic numerals 0, 1, and 2, lowercase letters do not appear in o, i, and z. The second-level classification is represented by two Arabic numerals, expressed in Arabic numerals (01 to 99). If there is no specific classification, 00 is used. The third-level category is the same as the second-level category, and is expressed in Arabic numerals (01 to 99). If there is no specific classification, 00 is used.

[0081] (5) The fifth part indicates the affiliation of the emergency situation symbol, that is, the level to which the emergency situation symbol belongs. In combination with the administrative division principle of my country and the smallest administrative unit of emergency management in my country, the administrative division is divided into three levels: province (autonomous region, municipality directly under the central government), prefecture-level city, and county (autonomous county, city). For detailed discussion, this study adds township (town, street) as the fourth level to facilitate the distinction of the county-level administrative region to which the symbol belongs, and is represented by eight Arabic numerals. Drawing on the first six digits of the ID card code and combining it with the townships in the study area, the code is more portable. The first two digits represent the province (autonomous region, municipality directly under the central government), 3-4 digits represent the prefecture-level city, 5-6 digits represent the county (autonomous county, city), and 7-8 digits represent the township (town, street), as shown in Table 2.

[0082] Table 2 Administrative division code examples

[0083]

[0084] (6) The sixth part represents the information level of emergency situation symbols, that is, the importance of various types of symbols. The level of emergency situation symbols will change according to the changes in the current situation, and the information classification of each type of symbol is not quite the same, so this study adopts standardized processing for all selected symbols. The symbol levels selected in this study can be roughly divided into six levels and nine levels. They are first standardized to five levels, and then the four-quadrant principle of time management is used for reference and improvement. Finally, the information level is normalized to eight levels for sorting. The two quadrants represent the importance and the closeness to the emergency theme. The specific operation steps are as follows:

[0085] 1) The original ratio is divided into five levels according to the formula, as shown in Table 3.

[0086] Table 3 Standardization of emergency situation symbol levels

[0087]

[0088]

[0089] 2) Based on the current emergency status and the four-quadrant rule of time management, the situation symbols are classified, as shown in Table 4.

[0090] Table 4: Partial illustration of the importance ranking of emergency situation symbols in different emergency states

[0091]

[0092] 3) Multiply the symbol type and the normalized information level, standardize based on the highest value, which is 8, and standardize the rest to integers according to the principle of rounding. The final result is the information level of the emergency situation symbol of the sudden incident.

[0093] For example, the information level calculation steps for the emergency center of Xinyang People's Hospital during the fire outbreak in Dabie Mountain area are as follows:

[0094] 1) Xinyang People's Hospital is a Class III Grade A hospital, so the original information level is 9, and the level after standardized information level is 5;

[0095] 2) During the peak period, the emergency status level of Xinyang People's Hospital was 7;

[0096] 3) The highest standardized information level is 8, so the information level of the emergency center of Xinyang People’s Hospital during the peak period of the Dabie Mountain fire was 7.

[0097] Example 4

[0098] Based on the above embodiments, Figure 4 As shown, the embodiment of the present invention provides an implementation process of a comprehensive emergency response method for emergencies, which specifically includes the following steps:

[0099] S201: Determine the symbol load N according to the quantity selection model;

[0100] Specifically, when calculating the load of emergency situation symbols, the embodiment of the present invention calculates the load of emergency situation symbols for point data of emergency situation, and according to the specifications "National Basic Scale Map Compilation Specification GB / T 12343.1-2008", "National Basic Scale Map Compilation Specification GB / T 12343.2-2008" and "National Basic Scale Map Compilation Specification GB / T12343.3-2009", within the unit administrative area, the numerical load of the ratio of the number of emergency situation symbols to the actual area and the area load of the administrative area based on the symbol size designed for the emergency situation symbols are comprehensively calculated to obtain an index, which takes into account both the distribution density of the numerical points within the unit administrative area and the influence of the symbol area size load. The specific method includes: calculating the density of emergency situation symbols for each density area in the study area according to the following formula:

[0101]

[0102] S ni =S n +S tn

[0103] Where H represents the emergency situation symbol density of the ith density zone in the study area, N i represents the number of emergency situation symbols in the ith density zone, S i represents the actual area of ​​the ith density zone, β represents the conversion index of the load calculation between paper map and electronic map (usually 2.5 to 3 times, and 3 times is selected in this study according to the size of the emergency situation symbol in this study), ∑ n＝1 Sni S represents the sum of the areas of n-level symbols in the ith density zone. n Represents the area of ​​the n-level symbol, S tn Indicates the annotation area of ​​the n-level symbol, S mi It represents the area on the map under the m scale in the i-th density zone.

[0104] Next, the number of symbols is selected for different density areas according to the symbol load.

[0105] In traditional methods, the commonly used quantitative models are all based on the selection of residential areas, and the distribution of residential areas is relatively regular. However, the distribution regularity of emergency situation symbols for sudden events is weaker than that of residential areas, and the selected quantities are variable. In view of the comprehensive regional characteristics of the emergency situation of sudden events, the embodiment of the present invention proposes the above-mentioned quantitative selection model suitable for emergency situation symbols for sudden events.

[0106] S202: Calculate the selection probability G of each emergency situation symbol by integrating multiple factors from two aspects: the attribute characteristics of emergency situation information and the spatial distribution of emergency situation symbols according to the quality selection model;

[0107] Specifically, the embodiment of the present invention comprehensively considers multiple factors such as administrative district constraint weight factor, distance from the emergency situation symbol to the SOM cluster center, first-order proximity, distribution density, fuzzy matrix and correlation between the emergency situation symbol and the emergency theme to calculate the selection probability G of the emergency situation symbol.

[0108] 1) Administrative district constraint weight factor

[0109] Assign constraint weight factors of administrative districts of different levels according to the administrative district level, assign administrative district level values ​​to corresponding boundaries, and the weight factors of administrative district intersections and along administrative district boundaries are calculated as follows:

[0110] R n =b 1 ×1+b 2 ×1+…+b n ×1

[0111] R m =b m ×1

[0112] R i =1+R n +R m

[0113] In the formula, R n is the level of intersection of administrative boundaries, b n is the level of different administrative boundaries at the intersection of administrative boundaries, R m is the level along the administrative boundary, bm is the level along the administrative district boundary, R i is the total constraint of the symbol. If the emergency situation symbol is outside the administrative area, the initial value of the emergency situation symbol is 1.

[0114] 2) Generate SOM cluster center and calculate the distance from the emergency situation symbol to the SOM cluster center

[0115] The cluster centers are generated according to the SOM algorithm, and the coordinates of the cluster centers are obtained. Then, the Euclidean distance from each emergency situation symbol to the cluster center is calculated. Assume that there is an emergency situation symbol point P i , whose coordinates are (x 1 ,y 1 ), the coordinates of the cluster center C are (x 2 ,y 2 ), the Euclidean distance D from P to the cluster center C is calculated as follows:

[0116]

[0117] Where D i P is the emergency situation symbol i The distance to the cluster center C.

[0118] 3) Calculate the first-order proximity

[0119] The selection of emergency situation symbols should not only be based on the importance of attribute relationships, but also maintain the characteristics of spatial information distribution and the proximity between point groups, so as to reflect the interaction and centrality between symbols. On the basis of constructing the Voronoi diagram (also known as Thiessen polygon), the first-order proximity index is calculated to determine the centrality and importance of the symbol. The higher the index, the more obvious the centrality of the symbol and the greater the probability of selection.

[0120] 4) Calculate the distribution density

[0121] The distribution density is represented by the area occupied by the Voronoi diagram of the emergency situation symbol. The larger the distribution density value, the denser the points are, the lower the probability of being selected, and the higher the probability of being integrated.

[0122] 5) Calculate the fuzzy matrix

[0123] Calculate the importance of each category of emergency situation symbols and get the result B i .

[0124] 6) Use the mapping function to quantify the correlation between the emergency situation symbol and the emergency theme

[0125] The administrative level of the emergency situation symbol is converted into a numerical value that can be calculated and compared through a mapping function.

[0126] M i =f(A leveli，k )

[0127] In the formula, i represents the element of the emergency situation symbol, k represents the index of the semantic information in the attribute table, and M i Indicates the corresponding customized function mapping value, A level Indicates the corresponding emergency situation symbol level.

[0128] 7) Construction of quality selection model

[0129] The probability of selecting emergency situation symbols is combined according to the influencing factors of emergency situation symbols in geographical and spatial senses, and finally a quality selection model is constructed:

[0130]

[0131] Among them, i represents the element of the emergency situation symbol, G i represents the probability of selecting emergency situation symbols, R i represents the administrative district constraint weight factor, D i Indicates the distance from the emergency situation symbol to the SOM cluster center, M i Indicates the correlation between the emergency situation symbol and the emergency theme, B i represents the fuzzy matrix, F i represents the first-order proximity value, ρ i Indicates the distribution density represented by the area occupied by the Voronoi diagram.

[0132] S203: The administrative levels of the study area are divided into township level, county level, city level and provincial level from low to high;

[0133] Specifically, in order to facilitate the subsequent traversal of the integrated automated control, the current administrative level indicator B and the highest administrative level indicator C are initialized, and it is defined that B=0 represents the township level, B=1 represents the county level, and so on, and B=3 represents the provincial level.

[0134] Specifically, in order to facilitate the automatic control of the subsequent traversal synthesis, the density level indicator A is initialized, and it is defined that A=1 represents a dense area, A=2 represents a dense area, and so on, A=5 represents an extremely sparse area.

[0135] S204: Initialize B=1; it can be understood that the integration starts from the county level (ie, B=1).

[0136] S205: Select density areas in the B-level administrative area, and divide the selected density areas into 5 levels, and sort them according to the density level, in the following order: dense area, dense area, medium-dense area, sparse area and extremely sparse area.

[0137] Specifically, the comprehensive process for Class B administrative areas (taking the county level as an example) includes:

[0138] (1) Initialize A = 1; it can be understood that we start from the dense area;

[0139] (2) Set the symbol load N of the density area of ​​the density level A of a county, and compare the symbol load with the number of symbols M of the density area of ​​the density level A at the township level. If N>M, jump to step (3); if N≤M, jump to step (6);

[0140] (3) Directly select all M symbols in the density area;

[0141] (4) Using a conflict detection method to detect the selected symbol, if there is no overlap, jump to step S206; if there is overlap, jump to step (5);

[0142] Specifically, the conflict detection specifically includes: abstracting the emergency situation symbol into a point symbol or a line symbol, performing conflict detection between point symbols using a first conflict detection rule, and performing conflict detection between point symbols and line symbols using a second conflict detection rule;

[0143] The first conflict detection rule specifically includes: establishing a minimum circumscribed rectangle and Thiessen polygon for a point symbol; setting a minimum visual distance between two point symbols (here assumed to be 2 mm); calculating the distance D between adjacent point symbols A and B based on the Thiessen polygon. 1 ; Calculate the length of the minimum circumscribed rectangle of each point symbol A and B respectively; Calculate the distance D 1 and the sum of the two lengths, if the difference is less than the minimum visual distance, there is a conflict, otherwise there is no conflict;

[0144] The second conflict detection rule specifically includes: establishing a minimum circumscribed rectangle for the point symbol A, establishing a buffer zone with a minimum visual distance (here assumed to be 2 mm) with the center line of the line symbol L as the symmetry axis; calculating the vertical distance D from the point symbol A to the line symbol L 2 ; Calculate the distance d from point symbol A to the minimum enclosing rectangle 1 Minimum buffer distance d from line symbol L 2 ; Calculate the vertical distance D 2 With distance d 1 and distance d 2 If the difference is less than the minimum visual distance, there is a conflict, otherwise there is no conflict.

[0145] It can be understood that the minimum visual distance between two symbols can be changed according to the size of the symbols.

[0146] (5) Determine whether the administrative codes of the B-level administrative districts are consistent. If they are consistent, perform integration and jump to step (9); if they are inconsistent, jump to step S206;

[0147] (6) combining the M symbols in the density area into N symbols;

[0148] Specifically, it can be understood that symbolic synthesis mainly involves the quantitative summary of the emergency situation and the qualitative summary of the emergency situation.

[0149] The comprehensive quantitative summary of emergency situation refers to: according to the characteristics of emergency situation symbol classification, the quantitative summary of emergency situation symbols (symbols of the same category) is summarized as follows:

[0150] L n C a +L n C a =L n C a +k

[0151] Among them, L n C m represents the n-level a-type symbol, and k represents the number of integrated symbols, which is calculated according to the specific situation of the integration. For example: when the symbol levels are all level three and the symbol categories are the same, level three symbol + level three symbol = level three symbol + number of integrated symbols.

[0152] The summary methods of the comprehensive quality of emergency situation include the following two situations:

[0153] 1) In the case of the same level but different categories, when all symbols are at the nth level and at least one of the three-level symbol codes of the integrated symbol is different, it is: "same level, different category", and the algorithm is as follows:

[0154] L n C a +L n C b =L m C m +k(a≠b)

[0155] In the formula, a and b represent different categories respectively, and m is the level number of the same symbol code of a and b. If m=0, it is summarized as the general category "emergency support resources", such as: general hospital (50101) + fire police (20303) = emergency support resources + k; general hospital (50101) + disease control center (50201) = medical and health resources (50000) + k.

[0156] 2) In the case of different levels and different categories, when the symbols are at different levels and at least one of the three-level symbol codes of the integrated symbol is different, it becomes: "different levels, different categories", and the integrated algorithm is:

[0157] L n C a +L (n-1) C b =L m C m +k(a≠b)

[0158] Wherein, m is the level number with the same symbol code as a and b. If m=0, it is summarized as the general category of "emergency support resources". For example: general hospital (50101)+medical institution (50100)=medical institution (50100)+k; general hospital (50101)+people's police (20300)=emergency support resources+k.

[0159] Furthermore, in order to optimize the comprehensive display effect, after completing the above-mentioned quantitative integration and qualitative integration, it also includes comprehensive simplification of emergency situations.

[0160] It can be understood that, with point status potential symbols as the object, according to the requirements of situation display, all information cannot be discarded but must be displayed on the map in the form of symbols. When integrating the unselected points, the Delaunay triangulation is used to establish the minimum convex hull to simplify the emergency power range. Based on the alpha algorithm, the coefficient is adjusted to achieve the purpose of simplifying the external boundary of the point group and determine the scope of integration. Figure 5 shown.

[0161] (7) Perform conflict detection on the N symbols just synthesized. If the conditions are met and there is no overlap, jump to step S206; if there is overlap, go to step (8);

[0162] (8) If there is symbol overlap, the symbols of the current administrative level B (i.e., county level) are integrated into P, and NP symbols are selected according to the quality selection model, and then jump to step (7);

[0163] (9) Determine the number of cycles of A. If A=5, jump to step S206; if A≠5, jump to step (10);

[0164] (10) Increment A by 1 and jump to step (2);

[0165] S206: Select data to be output to the resource pool K=K+N, with an initial value K=0;

[0166] S207: Determine the level of B. If B=C-1, jump to step S208. If B≠C-1, increment B by 1 and enter step S205.

[0167] S208: judging the number of symbols in the resource pool, and when K>N, selecting a model for integration according to quality, and when K≤N, performing conflict detection;

[0168] S209: If the conflict detection is satisfied, then output; if not, then perform a shift operation;

[0169] Specifically, if there are only two conflicting points, the point-to-point displacement method is used, and the calculation method is as follows: The points where the two conflicting emergency situation symbols are located are recorded as point A (x a ,y a ) and point C(x c ,y c ), assuming that point A is shifted, the shifted point A′(x′) is calculated according to the following formula: a , y′ a ):

[0170]

[0171] Wherein, m is the minimum distance between the center points of the two conflicting emergency situation symbols, and d is the actual distance between point A and point C before displacement. In this embodiment, the following Euclidean distance is used to calculate the distance between two points.

[0172] The displacement process is Figure 6 shown.

[0173]

[0174] S210: Plot the selected situation symbols, and the algorithm ends.

[0175] Specifically, the embodiment of the present invention establishes the minimum convex hull for the points that are not selected in the unit area density area, and the geometric center of the convex hull is the comprehensive point, such as Figure 6 As shown, the green circle in Figure (b) is the comprehensive result of the green circles (50104), (50101) and (50103) in Figure (a), and the same is true for the blue circles. Figure 7 This is the comprehensive result of the comprehensive model of the situation at the county level and above in the Dabie Mountain area.

[0176] The method for synthesizing the emergency situation of sudden incidents provided by the embodiment of the present invention adopts a selection model to determine the quantity and quality of selection based on the result of dividing the density area into the minimum administrative area, accurately constrains the emergency situation symbols in the current minimum administrative unit, and achieves the purpose of synthesizing the emergency situation symbols of sudden incidents according to the administrative division and symbol attribute level.

[0177] The embodiment of the present invention further provides an electronic device, a schematic diagram of its physical structure, as shown in FIG. Figure 8As shown, the electronic device may include: a processor 801, a communication interface 802, a memory 803 and a communication bus 804, wherein the processor 801, the communication interface 802 and the memory 803 communicate with each other through the communication bus 804. The processor 801 may call the logic instructions in the memory 803 to execute the emergency situation synthesis method for sudden incidents, the method comprising: step 1: determine the highest administrative level of the study area, and perform symbol synthesis according to the density zone division; step 2: if the highest administrative level is the municipal level, execute step 3, and then execute step 5; if the highest administrative level is the provincial level, execute steps 3 and 4 in sequence, and then execute step 5; step 3: according to the synthesis rules, perform emergency situation symbol synthesis for all emergency situation symbols in each county in the study area according to the density zone divided at the township level, and obtain the emergency situation symbols of each county in the study area. Step 4: According to the comprehensive rules, all emergency situation symbols of each city in the study area are integrated according to the density areas divided at the county level to obtain the emergency situation symbols of each city in the study area and add them to the resource pool; Step 5: Determine whether the number of emergency situation symbols in the resource pool is greater than the symbol load N. If so, the emergency situation symbols in the resource pool are integrated into N according to the quality selection model, and conflict detection is performed. If there is no conflict, the integration ends; if not, the emergency situation symbols in the resource pool are directly tested for conflicts. If there is no conflict, the integration ends.

[0178] In addition, when the logic instructions in the above-mentioned memory 803 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0179] The embodiment of the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments, for example, including: Step 1: Determine the highest administrative level of the study area, and perform symbol integration based on density zone division; Step 2: If the highest administrative level is the municipal level, execute step 3, and then execute step 5 after completion; if the highest administrative level is the provincial level, execute steps 3 and 4 in sequence, and then execute step 5 after completion; Step 3: According to the comprehensive rules, all emergency situation symbols in each county in the study area are analyzed according to the township. The density areas divided at the town level are integrated with emergency situation symbols to obtain the emergency situation symbols of each county in the study area and add them to the resource pool; Step 4: According to the integration rules, all emergency situation symbols of each city in the study area are integrated according to the density areas divided at the county level to obtain the emergency situation symbols of each city in the study area and add them to the resource pool; Step 5: Determine whether the number of emergency situation symbols in the resource pool is greater than the symbol load N. If so, the emergency situation symbols in the resource pool are integrated into N according to the quality selection model, and conflict detection is performed. If there is no conflict, the integration ends; if not, the emergency situation symbols in the resource pool are directly conflict-checked. If there is no conflict, the integration ends.

[0180] The embodiment of the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method provided by the above-mentioned method embodiments is implemented, for example, including: Step 1: Determine the highest administrative level of the study area, and perform symbol synthesis according to the density zone division; Step 2: If the highest administrative level is the municipal level, execute step 3, and then execute step 5 after completion; If the highest administrative level is the provincial level, execute steps 3 and 4 in sequence, and then execute step 5 after completion; Step 3: According to the synthesis rules, perform emergency situation symbol synthesis for all emergency situation symbols in each county in the study area according to the density zones divided at the township level , obtain the emergency situation symbol of each county in the study area and add it to the resource pool; Step 4: According to the comprehensive rules, all the emergency situation symbols of each city in the study area are integrated according to the density area divided at the county level to obtain the emergency situation symbol of each city in the study area and add it to the resource pool; Step 5: Determine whether the number of emergency situation symbols in the resource pool is greater than the symbol load N. If so, the emergency situation symbols in the resource pool are integrated into N according to the quality selection model, and conflict detection is performed. If there is no conflict, the integration ends; if not, the emergency situation symbols in the resource pool are directly conflict detected. If there is no conflict, the integration ends.

[0181] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0182] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A comprehensive method for emergency response, characterized in that: include: Step 1: Determine the highest administrative level of the study area and perform symbol synthesis based on density zone division; Step 2: If the highest administrative level is municipal, execute step 3, and then execute step 5; if the highest administrative level is provincial, execute steps 3 and 4 in sequence, and then execute step 5; Step 3: According to the comprehensive rules, all emergency situation symbols in each county in the study area are integrated according to the density areas divided at the township level to obtain the emergency situation symbols of each county in the study area and add them to the resource pool; Step 4: According to the comprehensive rules, all emergency situation symbols of each city in the study area are integrated according to the density areas divided at the county level to obtain the emergency situation symbols of each city in the study area and add them to the resource pool; Step 5: Determine whether the number of emergency situation symbols in the resource pool is greater than the symbol load N. If so, the emergency situation symbols in the resource pool are integrated into N according to the quality selection model, and conflict detection is performed. If there is no conflict, the integration ends; if not, conflict detection is directly performed on the emergency situation symbols in the resource pool. If there is no conflict, the integration ends.

2. The method for comprehensive emergency response of an emergency according to claim 1, characterized in that: Step 5 also includes: if there is a conflict, performing a shift operation on the conflicting emergency situation symbol.

3. The method for comprehensive emergency response of an emergency according to claim 1, characterized in that: The comprehensive rules specifically include: At the current administrative level, all lower-level emergency situation symbol density areas in each area corresponding to the current administrative level in the study area are divided into A density levels; wherein the lower-level emergency situation symbol density area refers to the density area formed by dividing the emergency situation symbols according to the administrative level below the current administrative level; For each density level, symbol integration is performed on each of the lower-level emergency situation symbol density areas under the density level according to the symbol load corresponding to the current density level, and a conflict detection is performed on the symbol integration results. If there is no conflict, all emergency situation symbols corresponding to the symbol integration results are added to the resource pool.

4. The method for comprehensive emergency response of an emergency according to claim 3, characterized in that: For each density level, symbol integration is performed on each of the lower-level emergency situation symbol density areas under the density level according to the symbol load corresponding to the current density level, specifically including: If the symbol load N corresponding to the current density level is greater than the number of symbols M in the lower-level emergency situation symbol density area, then directly perform conflict detection on the M symbols in the lower-level emergency situation symbol density area, and if there is no conflict, then add the M symbols to the resource pool; If the symbol load N corresponding to the current density level is not greater than the number of symbols M in the lower-level emergency situation symbol density area, the M symbols in the lower-level emergency situation symbol density area are integrated into N symbols, and the integrated N symbols are detected for conflicts. If there is no conflict, the integrated N symbols are added to the resource pool.

5. The method for comprehensive emergency response of an emergency according to claim 1, characterized in that: Also includes: The emergency situation symbol density of each density zone in the study area is calculated according to the following formula: S ni =S n +S tn Where H represents the emergency situation symbol density of the ith density zone in the study area, N i represents the number of emergency situation symbols in the ith density zone, S i represents the actual area of ​​the ith density zone, β represents the conversion index between paper map and electronic map load calculation, ∑ n＝1 S ni S represents the sum of the areas of n-level symbols in the ith density zone. n Represents the area of ​​the n-level symbol, S tn Indicates the annotation area of ​​the n-level symbol, S mi It represents the area on the map under the m scale in the i-th density zone.

6. The method for comprehensive emergency response of an emergency according to claim 1, characterized in that: The quality selection model specifically includes: Among them, i represents the element of the emergency situation symbol, G i represents the probability of selecting emergency situation symbols, R i represents the administrative district constraint weight factor, D i Indicates the distance from the emergency situation symbol to the SOM cluster center, M i Indicates the correlation between the emergency situation symbol and the emergency theme, B i represents the fuzzy matrix, F i represents the first-order proximity value, ρ i Indicates the distribution density represented by the area occupied by the Voronoi diagram.

7. The method for comprehensive emergency response of an emergency according to claim 2, characterized in that: The displacement operation specifically includes: The points where the two conflicting emergency situation symbols are located are recorded as point A(x a ,y a ) and point C(x c ,y c ), assuming that point A is shifted, the shifted point A′(x′) is calculated according to the following formula: a , y′ a ): Among them, m is the minimum distance between the center points of the two conflicting emergency situation symbols, and d is the actual distance between point A and point C before displacement.

8. A method for integrating emergency response situation according to any one of claims 1 to 7, characterized in that: The conflict detection specifically includes: abstracting the emergency situation symbol into a point symbol or a line symbol, performing conflict detection between point symbols using a first conflict detection rule, and performing conflict detection between point symbols and line symbols using a second conflict detection rule; The first conflict detection rule specifically includes: establishing a minimum circumscribed rectangle and a Thiessen polygon for a point symbol; setting a minimum visual distance between two point symbols; calculating a distance D1 between adjacent point symbols A and B based on the Thiessen polygon; respectively calculating the lengths of the minimum circumscribed rectangles from point symbols A and B to each other; calculating the difference between the distance D1 and the sum of the two lengths, if the difference is less than the minimum visual distance, then there is a conflict, otherwise there is no conflict; The second conflict detection rule specifically includes: establishing a minimum circumscribed rectangle for the point symbol A, and establishing a buffer zone of minimum visual distance with the center line of the line symbol L as the axis of symmetry; calculating the vertical distance D2 from the point symbol A to the line symbol L; calculating the distance d1 from the point symbol A to the minimum circumscribed rectangle and the minimum buffer zone distance d2 of the line symbol L; calculating the difference between the vertical distance D2 and the sum of the distance d1 and the distance d2. If the difference is less than the minimum visual distance, there is a conflict, otherwise there is no conflict.

9. A method for integrating emergency response situation according to any one of claims 1 to 7, characterized in that: The coding of the emergency situation symbol is used to indicate at least six types of information of the emergency situation symbol, namely: type, geometric attribute, emergency status, classification and grading, administrative division relationship and information level.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to any one of claims 1 to 9 is implemented.

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