A method and system for disaster risk assessment of territorial space planning based on big data

Abstract

The application provides a land space planning disaster risk assessment method and system based on big data, which obtains target coefficients of a first target matter in each land space planning disaster information included in a group of land space planning disaster information, and evaluates first disaster risk information from the group of land space planning disaster information according to the target coefficients of the first target matter in each land space planning disaster information and description data of the first target matter in each land space planning disaster information. Thus, the accuracy of disaster assessment can be improved, and the loss caused by disasters can be reduced as much as possible.

Description

Technical Field

[0001] The present application relates to the field of risk assessment technology, and specifically to a land space planning disaster risk assessment method and system based on big data. Background Art

[0002] Disaster is a general term for things that can cause destructive effects on humans and the environment on which humans depend for survival. It does not indicate the degree and usually refers to the local area. It can expand and develop and evolve into a disaster.

[0003] At present, in order to protect people's lives and property safety, monitoring and prevention work must be carried out in disaster areas. The above work requires an assessment of the disaster area, but how to assess is a technical problem that is difficult to solve at present. Summary of the Invention

[0004] In order to improve the technical problems existing in related technologies, this application provides a land space planning disaster risk assessment method and system based on big data.

[0005] First, a disaster risk assessment method for land space planning based on big data is provided, including:

[0006] Obtaining target coefficients of the first target item in each piece of land and space planning disaster information included in a set of land and space planning disaster information, wherein the target coefficients include a target integrity coefficient, a target state coefficient, and a target relative positioning coefficient of the first target item;

[0007] The first disaster risk information is evaluated from the set of land space planning disaster information based on the target coefficient of the first target item in the land space planning disaster information of each country and the descriptive data of the first target item in the land space planning disaster information of each country, wherein the descriptive data is used to represent the descriptive attributes of the first target item and the crustal movement data.

[0008] In an independently implemented embodiment, determining the target completeness coefficient of the first target item in the first land space planning disaster information based on the AI ​​vector data and the intersection of the first land space planning disaster information and the remaining land space planning disaster information includes:

[0009] On the premise that it is determined, based on the AI ​​vector data, that the first target item is located in the land space planning disaster information constraint condition of the first land space planning disaster information, determining that the target completeness coefficient of the first target item in the first land space planning disaster information is a coefficient used to indicate that the first target item is in an incomplete state;

[0010] On the premise that it is determined, based on the AI ​​vector data, that the first target item is located within the land space planning disaster information of the first land space planning disaster information, and that the first target item has an intersection with the remaining items that exist, determining the target completeness coefficient of the first target item in the first land space planning disaster information as a coefficient used to indicate that the first target item is in an incomplete state;

[0011] On the premise that it is determined based on the AI ​​vector data that the first target item is located within the land space planning disaster information, and that the remaining items do not exist or that the first target item and the remaining items do not intersect, determining the target integrity coefficient of the first target item in the first land space planning disaster information as a coefficient used to indicate that the first target is in a complete state;

[0012] Among them, the land space planning disaster information constraint condition is an area that has been pre-demarcated and is located at the edge of the first land space planning disaster information and cannot fully display the first target item. The interior of the land space planning disaster information is the area included in the first land space planning disaster information except the land space planning disaster information constraint condition.

[0013] In an independently implemented embodiment, determining the target state coefficient of the first target item in the first national land space planning disaster information based on the disaster-derived area includes:

[0014] On the premise that the vertical AI vector of the disaster-derived area is 0, determining the target state coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is in a side state;

[0015] On the premise that the horizontal AI vector of the disaster-derived area is 0 and the vertical AI vector is less than or equal to 0, determining the target state coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is in a positive state;

[0016] On the premise that the horizontal AI vector of the disaster-derived area is 0 and the vertical AI vector is greater than 0, the target state coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target item is in a secondary state.

[0017] In an independently implemented embodiment, determining a target relative positioning coefficient of the first target item in the first land space planning disaster information based on the relative positioning information includes:

[0018] On the premise that it is assessed that the relative positioning information is used to indicate that the minimum safety requirement of the first target item in the first national land space planning disaster information and the first national land space planning disaster information is less than or equal to a first target value, determining the target relative positioning coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is in a minimum safety requirement state;

[0019] On the premise that it is assessed that the relative positioning information is used to indicate that the difference between the first target item in the first national land space planning disaster information and the first national land space planning disaster information is greater than a first target value and less than or equal to a second target value, determining the target relative positioning coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is at the maximum safety requirement;

[0020] On the premise that it is evaluated that the relative positioning information is used to indicate that the difference between the first target item in the first national land space planning disaster information and the first national land space planning disaster information is greater than the second target value, the target relative positioning coefficient of the first target item in the first national land space planning disaster information is determined to be the coefficient used to indicate that the first target item is at the maximum safety requirement.

[0021] In an independently implemented embodiment, evaluating first disaster risk information from the set of land space planning disaster information based on the target coefficient of the first target item in the land space planning disaster information and the descriptive data of the first target item in the land space planning disaster information includes:

[0022] Determine the importance index values ​​corresponding to the pre-configured target integrity coefficient, the target state coefficient, and the target relative positioning coefficient respectively;

[0023] Evaluate the total coefficient value of the first target item in each land and space planning disaster information based on the target integrity coefficient and its corresponding importance index value, the target state coefficient and its corresponding importance index value, and the importance index value corresponding to the target relative positioning coefficient unit of the first target item in each land and space planning disaster information;

[0024] The first disaster risk information is evaluated based on the total coefficient value of the first target item in the land and space planning disaster information of each country and the descriptive data of the first target item in the land and space planning disaster information of each country.

[0025] In an independently implemented embodiment, before evaluating the first disaster risk information from the set of land and space planning disaster information based on the target coefficient of the first target item in the land and space planning disaster information and the descriptive data of the first target item in the land and space planning disaster information, the method further includes:

[0026] For any piece of land and space planning disaster information in the set of land and space planning disaster information, the following operations are performed to obtain descriptive data of the first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information:

[0027] When the first target item appears for the first time in the first land space planning disaster information included in the set of land space planning disaster information, determining the description data of the first target item in the first land space planning disaster information as information for indicating the construction status;

[0028] On the premise that the first target item appears in the first land and space planning disaster information included in the set of land and space planning disaster information and also appears in the second land and space planning disaster information included in the set of land and space planning disaster information, the descriptive data of the first target item is determined as information for indicating a debugging state, wherein the second land and space planning disaster information is the land and space planning disaster information included in the set of land and space planning disaster information and located in a frame before the first land and space planning disaster information;

[0029] On the premise that the first target item appears in the first national land space planning disaster information included in the set of national land space planning disaster information, does not appear in the second national land space planning disaster information included in the set of national land space planning disaster information, and appears in the third national land space planning disaster information included in the set of national land space planning disaster information, the descriptive data of the first target item is determined as information used to indicate a lost state, wherein the second national land space planning disaster information is the national land space planning disaster information included in the set of national land space planning disaster information and located in the previous frame of the first national land space planning disaster information, and the third national land space planning disaster information is the national land space planning disaster information included in the set of national land space planning disaster information and located before the second national land space planning disaster information;

[0030] On the premise that the first target item does not appear in the first land space planning disaster information included in the set of land space planning disaster information, and does not appear in a predetermined number of consecutive planning disaster factors included in the first land space planning disaster information, the descriptive data of the first target item is determined as information for indicating a filtering state, wherein the last planning disaster factor in the predetermined number of consecutive planning disaster factors is the previous planning disaster factor of the first land space planning disaster information;

[0031] The first disaster risk information is evaluated based on the total coefficient value of the first target item in the land and space planning disaster information of each country and the descriptive data of the first target item in the land and space planning disaster information of each country, including:

[0032] Under the premise that the description data of the first target item in the currently input land space planning disaster information is in the construction state or the debugging state, determining whether the preset analysis thread is annotated with sample annotation information of the first target item, wherein the sample annotation information is annotated with the highest total coefficient value of the sample of the first target item in the analysis thread;

[0033] On the premise that the sample annotation information is annotated in the analysis thread, and the total coefficient value of the first target item in the current input land and space planning disaster information is greater than the highest total coefficient value of the sample annotated by the first target item in the analysis thread, the first sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the current input land and space planning disaster information, and the debugged first sample annotation information includes the total coefficient value of the first target item in the current input land and space planning disaster information, the number of occurrences of the first target item in a set of land and space planning disaster information, and the evaluation coefficient and index value of the current input land and space planning disaster information;

[0034] The sample annotation information is annotated in the analysis thread, and on the premise that the total coefficient value of the first target item in the current input land and space planning disaster information is less than or equal to the maximum total coefficient value of the sample, the second sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the current input land and space planning disaster information, and the debugged second sample annotation information includes the number of occurrences of the first target item in a set of land and space planning disaster information, the evaluation coefficient and index value of the current input land and space planning disaster information;

[0035] On the premise that the sample annotation information is not annotated in the analysis thread, determining the annotation information of the currently input land space planning disaster information as the sample annotation information of the first target item in the analysis thread;

[0036] On the premise that the description data of the first target item in the currently input land and space planning disaster information is in a lost state, debugging the third sample annotation information included in the sample annotation information based on the annotation information of the first target item in the currently input land and space planning disaster information, the debugged third sample annotation information including the number of occurrences of the first target item in a set of land and space planning disaster information and the index value of the currently input land and space planning disaster information;

[0037] Determine, based on the adjusted sample annotation information, the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread, and determine the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread as the first disaster risk information;

[0038] On the premise that the description data of the first target item in the currently input land and space planning disaster information is in a filtered state, the land and space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined as the first disaster risk information;

[0039] The method further comprises:

[0040] Determining the crustal movement data of the first target item, and assuming that the crustal movement data is in a moving state, determining the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread as the first disaster risk information, and reducing the assessment coefficient of the first disaster risk information by 1;

[0041] On the premise that the crustal movement data is in a stationary state, the assessment coefficient of the first disaster risk information is reduced by 1;

[0042] On the premise that the assessment coefficient of the first disaster risk information is 0, the first disaster risk information is filtered.

[0043] In an independently implemented embodiment, obtaining the target completeness coefficient of the first target item in each piece of land and space planning disaster information included in a set of land and space planning disaster information includes:

[0044] For any piece of land and space planning disaster information in the set of land and space planning disaster information, the following operations are performed to obtain a target completeness coefficient of the first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information: upon determining that the first piece of land and space planning disaster information included in the set of land and space planning disaster information includes the first target item, obtain AI vector data of the first target item in the first piece of land and space planning disaster information;

[0045] Determining a target completeness coefficient of the first target item in the first national land space planning disaster information based on the AI ​​vector data and the intersection condition, wherein the intersection condition is used to indicate whether the first target item and the remaining items in the first national land space planning disaster information have an intersection, provided that the first national land space planning disaster information includes the remaining items;

[0046] On the premise that it is determined that the first target item is not included in the first national land space planning disaster information, the target completeness coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target item does not exist.

[0047] In an independently implemented embodiment, obtaining the target state coefficient of the first target item in each piece of land space planning disaster information included in a set of land space planning disaster information includes:

[0048] For any piece of land and space planning disaster information in the set of land and space planning disaster information, the following operations are performed to obtain a target state coefficient of the first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information: upon determining that the first piece of land and space planning disaster information included in the set of land and space planning disaster information includes the first target item, obtaining a disaster-derived area of ​​the first target item in the first piece of land and space planning disaster information;

[0049] Determine the target state coefficient of the first target item in the first national land space planning disaster information based on the disaster-derived area; wherein, the disaster-derived area is the comparison result of the AI ​​vector of the first target item in the first national land space planning disaster information and the AI ​​vector of the first target item in the second national land space planning disaster information, and the second national land space planning disaster information is the national land space planning disaster information included in the set of national land space planning disaster information and located in the previous frame of the first national land space planning disaster information.

[0050] In an independently implemented embodiment, obtaining a target relative positioning coefficient of the first target item in each piece of land space planning disaster information included in a set of land space planning disaster information includes:

[0051] For any piece of land and space planning disaster information in the set of land and space planning disaster information, the following operations are performed to obtain a target relative positioning coefficient of the first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information: upon determining that the first piece of land and space planning disaster information included in the set of land and space planning disaster information includes the first target item, relative positioning information of the first target item in the first piece of land and space planning disaster information is obtained;

[0052] Determine the target relative positioning coefficient of the first target item in the first national land space planning disaster information based on the relative positioning information; wherein, the relative positioning information is the difference between the first target item in the first national land space planning disaster information and the first national land space planning disaster information.

[0053] On the second aspect, a land space planning disaster risk assessment system based on big data is provided, comprising a processor and a memory that communicate with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0054] The embodiment of the present application provides a land space planning disaster risk assessment method and system based on big data, which adopts a method of obtaining the target coefficient of the first target item in each land space planning disaster information included in a group of land space planning disaster information, and evaluating the first disaster risk information from the group of land space planning disaster information based on the target coefficient of the first target item in the each land space planning disaster information and the descriptive data of the first target item in the each land space planning disaster information. This can improve the accuracy of disaster assessment, thereby minimizing the losses caused by disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without creative work.

[0056] Figure 1 A flowchart of a method for disaster risk assessment in land space planning based on big data provided in an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to better understand the above technical solution, the technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0058] See also Figure 1 , shows a method for disaster risk assessment of land space planning based on big data, which may include the technical solutions described in the following steps S202 and S204.

[0059] S202, obtaining target coefficients of the first target item in each piece of land and space planning disaster information included in a set of land and space planning disaster information, wherein the target coefficients include a target integrity coefficient, a target state coefficient, and a target relative positioning coefficient of the first target item;

[0060] S204, evaluating the first disaster risk information from the set of land space planning disaster information based on the target coefficient of the first target item in the land space planning disaster information of each country and the descriptive data of the first target item in the land space planning disaster information of each country, wherein the descriptive data is used to represent the descriptive attributes of the first target item and the crustal movement data.

[0061] Optionally, in this embodiment, the above-mentioned group of land space planning disaster information may include but is not limited to a group of land space planning disaster information composed of various planning disaster factors in a video of land space planning disaster information, or may also include but is not limited to a group of land space planning disaster information composed of some planning disaster factors in a video of land space planning disaster information.

[0062] Through the present invention, the target coefficient of the first target item in each land space planning disaster information included in a group of land space planning disaster information is obtained, and the first disaster risk information is evaluated from the group of land space planning disaster information based on the target coefficient of the first target item in the each land space planning disaster information and the descriptive data of the first target item in the each land space planning disaster information. This can improve the accuracy of disaster assessment, thereby reducing the losses caused by disasters as much as possible.

[0063] In an optional embodiment, obtaining the target completeness coefficient of the first target item in each land space planning disaster information included in a group of land space planning disaster information includes: for any land space planning disaster information in the group of land space planning disaster information, performing the following operations to obtain the target completeness coefficient of the first target item in each land space planning disaster information included in the group of land space planning disaster information: on the premise that it is determined that the first land space planning disaster information included in the group of land space planning disaster information includes the first target item, obtaining the AI ​​vector data of the first target item in the first land space planning disaster information; determining the target completeness coefficient of the first target item in the first land space planning disaster information based on the AI ​​vector data and the intersection condition, wherein the intersection condition is used to indicate whether there is an intersection between the first target item and the remaining items in the first land space planning disaster information under the premise that the first land space planning disaster information includes the remaining items; on the premise that it is determined that the first land space planning disaster information does not include the first target item, determining that the target completeness coefficient of the first target item in the first land space planning disaster information is a coefficient used to indicate that the first target item does not exist.

[0064] Optionally, in this embodiment, on the premise that it is determined that the first target item is included in the first land space planning disaster information included in the group of land space planning disaster information, the AI ​​vector data of the first target item in the first land space planning disaster information is obtained; determining the target integrity coefficient of the first target item in the first land space planning disaster information based on the AI ​​vector data and the cross-condition may include but is not limited to first judging whether the first target item is included in the first land space planning disaster information, for example, inputting the first target item and the first land space planning disaster information into the same AI vector system, judging whether the above-mentioned first target item is completely included in the AI ​​vector range of the first land space planning disaster information, and determining that the above-mentioned first land space planning disaster information includes the first target item on the premise that the AI ​​vector range of the first land space planning disaster information includes the first target item.

[0065] In an optional embodiment, determining the target completeness coefficient of the first target item in the first national land space planning disaster information based on the AI ​​vector data and the intersection status of the first national land space planning disaster information and the remaining national land space planning disaster information includes: on the premise that the first target item is determined to be located in the national land space planning disaster information constraint condition of the first national land space planning disaster information based on the AI ​​vector data, determining that the target completeness coefficient of the first target item in the first national land space planning disaster information is a coefficient used to indicate that the first target item is in an incomplete state; on the premise that the first target item is determined to be located within the national land space planning disaster information of the first national land space planning disaster information based on the AI ​​vector data, and that the first target item has an intersection with the remaining items, determining that the first target item is in The target completeness coefficient in the first national land space planning disaster information is a coefficient used to indicate that the first target item is in an incomplete state; on the premise that it is determined based on the AI ​​vector data that the first target item is located inside the national land space planning disaster information, and the remaining items do not exist or the first target item has no intersection with the remaining items that exist, the target completeness coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target is in a complete state; wherein, the national land space planning disaster information constraint condition is an area that is pre-divided and located at the edge of the first national land space planning disaster information and cannot fully display the first target item, and the inside of the national land space planning disaster information is the area included in the first national land space planning disaster information except the national land space planning disaster information constraint condition.

[0066] Optionally, in this embodiment, the above-mentioned target integrity coefficient can be identified by 0 or 1, and the coefficient value used to indicate that the first target item is in an incomplete state is set to 0, and the coefficient value used to indicate that the first target item is in a complete state is set to 1. The above-mentioned land space planning disaster information constraint condition can be manually set in advance by the system or server, or can be determined by an artificial intelligence land space planning disaster information identification method. The above-mentioned land space planning disaster information constraint condition may include but is not limited to placing the above-mentioned land space planning disaster information into the AI ​​vector system, and the side with the highest value of the vertical AI vector of the above-mentioned land space planning disaster information is the upper constraint condition of the land space planning disaster information, and the side with the lowest value of the vertical AI vector of the above-mentioned land space planning disaster information is the lower constraint condition of the land space planning disaster information. Based on the AI ​​vector data of the first target item, it is determined that the first target item is located inside the land space planning disaster information of the first land space planning disaster information, that is, the vertical AI vectors of each point of the first target item are greater than the lower constraint condition AI vector and less than the upper constraint condition AI vector.

[0067] Optionally, in this embodiment, the intersection between the first target item and the remaining items may include but is not limited to the AI ​​vectors of one or more of all AI vector points of the first target item in the AI ​​vector system being the same as the AI ​​vectors of one or more of all AI vector points of the remaining items.

[0068] In an optional embodiment, obtaining the target state coefficient of the first target item in each land space planning disaster information included in a group of land space planning disaster information includes: for any land space planning disaster information in the group of land space planning disaster information, performing the following operations to obtain the target state coefficient of the first target item in each land space planning disaster information included in the group of land space planning disaster information: on the premise of determining that the first land space planning disaster information included in the group of land space planning disaster information includes the first target item, obtaining the disaster derivative area of ​​the first target item in the first land space planning disaster information; determining the target state coefficient of the first target item in the first land space planning disaster information based on the disaster derivative area; wherein the disaster derivative area is a comparison result of the AI ​​vector of the first target item in the first land space planning disaster information and the AI ​​vector of the first target item in the second land space planning disaster information, and the second land space planning disaster information is the land space planning disaster information included in the group of land space planning disaster information and located in the previous frame of the first land space planning disaster information.

[0069] In an optional embodiment, the target state coefficient of the first target item in the first national land space planning disaster information is determined based on the disaster-derived area, including: under the premise that the vertical AI vector of the disaster-derived area is 0, determining the target state coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is in a side state; under the premise that the horizontal AI vector of the disaster-derived area is 0 and the vertical AI vector is less than or equal to 0, determining the target state coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is in a frontal state; under the premise that the horizontal AI vector of the disaster-derived area is 0 and the vertical AI vector is greater than 0, determining the target state coefficient of the first target item in the first national land space planning disaster information as a coefficient used to indicate that the first target item is in a secondary state.

[0070] In an optional embodiment, obtaining the target relative positioning coefficient of the first target item in each land space planning disaster information included in a group of land space planning disaster information includes: for any land space planning disaster information in the group of land space planning disaster information, performing the following operations to obtain the target relative positioning coefficient of the first target item in each land space planning disaster information included in the group of land space planning disaster information: on the premise of determining that the first land space planning disaster information included in the group of land space planning disaster information includes the first target item, obtaining the relative positioning information of the first target item in the first land space planning disaster information; determining the target relative positioning coefficient of the first target item in the first land space planning disaster information based on the relative positioning information; wherein, the relative positioning information is the difference between the first target item in the first land space planning disaster information and the first land space planning disaster information.

[0071] Optionally, in this embodiment, the positioning of the first target item relative to the land and space planning disaster information is clearest when located in the portion with the lowest safety requirements, making it easier to identify during the subsequent identification of land and space planning disaster information, thereby ensuring accuracy. However, for targets located at the upper edge, accuracy is difficult to ensure due to their small size. Therefore, when determining the target relative positioning coefficient, the positioning of the target's vertical AI vector relative to the land and space planning disaster information is considered. The target relative positioning coefficient of the first target item in different images is determined, which is beneficial to the subsequent processing and classification of land and space planning disaster information.

[0072] In an optional embodiment, the target relative positioning coefficient of the first target item in the first national land space planning disaster information is determined based on the relative positioning information, including: on the premise that it is assessed that the relative positioning information is used to indicate that the minimum safety requirement of the first target item in the first national land space planning disaster information and the first national land space planning disaster information is less than or equal to the first target value, determining that the target relative positioning coefficient of the first target item in the first national land space planning disaster information is a coefficient used to indicate that the first target item is in the minimum safety requirement state; on the premise that it is assessed that the relative positioning information is used to indicate that the difference between the first target item in the first national land space planning disaster information and the first national land space planning disaster information is greater than the first target value and less than or equal to the second target value, determining that the target relative positioning coefficient of the first target item in the first national land space planning disaster information is a coefficient used to indicate that the first target item is in the maximum safety requirement; on the premise that it is assessed that the relative positioning information is used to indicate that the difference between the first target item in the first national land space planning disaster information and the first national land space planning disaster information is greater than the second target value, determining that the target relative positioning coefficient of the first target item in the first national land space planning disaster information is a coefficient used to indicate that the first target item is in the maximum safety requirement.

[0073] Through this embodiment, different target relative positioning coefficients can be configured for the first target item based on the different positioning of the first target item relative to the land space planning disaster information. Thus, it is possible to select the land space planning disaster information that can better reflect the best relative positioning of the above-mentioned first target item in a group of pictures, thereby further improving the technical effect of determining the land space planning disaster information.

[0074] In an optional embodiment, the first disaster risk information is evaluated from the set of land space planning disaster information based on the target coefficient of the first target item in the land space planning disaster information and the descriptive data of the first target item in the land space planning disaster information, including: determining the importance index values ​​corresponding to the pre-configured target integrity coefficient, the target state coefficient, and the target relative positioning coefficient; evaluating the total coefficient value of the first target item in each land space planning disaster information based on the target integrity coefficient and its corresponding importance index value, the target state coefficient and its corresponding importance index value, and the importance index value corresponding to the target relative positioning coefficient unit of the first target item in each land space planning disaster information; evaluating the first disaster risk information based on the total coefficient value of the first target item in each land space planning disaster information and the descriptive data of the first target item in the land space planning disaster information.

[0075] In an optional embodiment, before evaluating the first disaster risk information from the set of land space planning disaster information based on the target coefficient of the first target item in the each land space planning disaster information and the descriptive data of the first target item in the each land space planning disaster information, the method also includes: for any land space planning disaster information in the set of land space planning disaster information, the following operations are performed to obtain the descriptive data of the first target item in the each land space planning disaster information included in the set of land space planning disaster information: when the first target item appears for the first time in the first land space planning disaster information included in the set of land space planning disaster information, the descriptive data of the first target item in the first land space planning disaster information is determined as information for indicating the construction status; on the premise that the first target item appears in the first land space planning disaster information included in the set of land space planning disaster information and also appears in the second land space planning disaster information included in the set of land space planning disaster information, the descriptive data of the first target item is determined as information for indicating the debugging status, wherein the second land space planning disaster information is the land space planning disaster information included in the set of land space planning disaster information and is located in the previous frame of the first land space planning disaster information. planning disaster information; on the premise that the first target item appears in the first land space planning disaster information included in the set of land space planning disaster information, does not appear in the second land space planning disaster information included in the set of land space planning disaster information, and appears in the third land space planning disaster information included in the set of land space planning disaster information, the descriptive data of the first target item is determined as information for indicating a lost state, wherein the second land space planning disaster information is the land space planning disaster information included in the set of land space planning disaster information and located in the previous frame of the first land space planning disaster information, and the third land space planning disaster information is the land space planning disaster information included in the set of land space planning disaster information and located before the second land space planning disaster information; on the premise that the first target item does not appear in the first land space planning disaster information included in the set of land space planning disaster information, and does not appear in a consecutive predetermined number of planning disaster factors included in the first land space planning disaster information, the descriptive data of the first target item is determined as information for indicating a filtered state, wherein the last planning disaster factor in the consecutive predetermined number of planning disaster factors is the previous planning disaster factor of the first land space planning disaster information.

[0076] Through this embodiment, the descriptive data of the first target item in the various land space planning disaster information included in a set of land space planning disaster information can be determined. Based on the different descriptive data of the first target item in the various land space planning disaster information included in a set of land space planning disaster information, different corresponding operations are performed in the above-mentioned analysis thread, which can be applicable to different scenarios and can select different target item states for subsequent processing based on different actual needs.

[0077] In an optional embodiment, the first disaster risk information is evaluated based on the total coefficient value of the first target item in each land space planning disaster information and the description data of the first target item in the land space planning disaster information of each country, including: under the premise that the description data of the first target item in the currently input land space planning disaster information is in the construction state or the debugging state, determining whether the preset analysis thread is annotated with sample annotation information of the first target item, wherein the sample annotation information is annotated with the sample highest total coefficient value of the first target item in the analysis thread; the sample annotation information is annotated in the analysis thread, and the first target item is in the currently input On the premise that the total coefficient value in the input land space planning disaster information is greater than the highest total coefficient value of the sample annotated by the first target item in the analysis thread, the first sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the current input land space planning disaster information, and the debugged first sample annotation information includes the total coefficient value of the first target item in the current input land space planning disaster information, the number of occurrences of the first target item in a group of land space planning disaster information, and the evaluation coefficient and index value of the current input land space planning disaster information; the sample annotation information is annotated in the analysis thread, and the first target item is in the current input On the premise that the total coefficient value of the input land space planning disaster information is less than or equal to the highest total coefficient value of the sample, the second sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the current input land space planning disaster information, and the debugged second sample annotation information includes the number of occurrences of the first target item in a group of land space planning disaster information, the evaluation coefficient and index value of the current input land space planning disaster information; on the premise that the sample annotation information is not annotated in the analysis thread, the annotation information of the current input land space planning disaster information is determined as the sample annotation information of the first target item in the analysis thread; in the current input land space planning disaster information On the premise that the description data of the first target item in the spatial planning disaster information is lost, the third sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the currently input national land space planning disaster information, and the debugged third sample annotation information includes the number of occurrences of the first target item in a group of national land space planning disaster information and the index value of the currently input national land space planning disaster information; based on the adjusted sample annotation information, the national land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined, and the national land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined as the first disaster risk information;Under the premise that the description data of the first target item in the currently input land and space planning disaster information is in a filtered state, the land and space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined as the first disaster risk information.

[0078] Optionally, in this embodiment, the above-mentioned sample annotation information may include but is not limited to the above-mentioned highest total coefficient value of the sample, the evaluation coefficient of the current input land space planning disaster information, the index value of the current input land space planning disaster information, the number of times the first target item appears in a group of land space planning disaster information, etc. The evaluation coefficient of the above-mentioned current input land space planning disaster information is used to indicate that under the premise that there are multiple first target items, the current input land space planning disaster information is the disaster risk information corresponding to the highest coefficient value of one or more target items. The number of the above-mentioned target items is the above-mentioned evaluation coefficient. The above-mentioned index value is used to identify the disaster risk information. In the subsequent process of outputting disaster risk information, the disaster risk information is searched by the index value to realize the output of the disaster risk information. The number of occurrences of the above-mentioned first target item in a group of land space planning disaster information can be used to set the output conditions, and the above-mentioned number of occurrences can be used as the output target value.

[0079] Optionally, in this embodiment, on the premise that the descriptive data of the first target item in the currently input land and space planning disaster information is in a construction state or a debugging state, the sample annotation information about the first target item in the analysis thread is debugged on the premise that the total coefficient value of the first target item in the currently input land and space planning disaster information is greater than the highest total coefficient value of the sample annotated by the first target item in the analysis thread, and the new sample annotation information is annotated with the highest total coefficient value up to the currently input land and space planning disaster information. On the premise that the total coefficient value of the first target item in the currently input land and space planning disaster information is less than or equal to the highest total coefficient value of the sample, the evaluation coefficient and index value of the currently input land and space planning disaster information annotated in the analysis thread, as well as the number of occurrences of the first target item in a group of land and space planning disaster information are debugged, and the total coefficient value corresponding to the target item is not debugged. On the premise that the description data of the first target item in the currently input land space planning disaster information is in a lost state, the number of occurrences of the first target item included in the sample annotation information in a group of land space planning disaster information is debugged based on the annotation information of the first target item in the currently input land space planning disaster information, the index value of the currently input land space planning disaster information, and the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined based on the adjusted sample annotation information, and the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined as the first disaster risk information; on the premise that the description data of the first target item in the currently input land space planning disaster information is in a filtered state, the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined as the first disaster risk information.

[0080] In an optional embodiment, the method also includes: determining the crust movement data of the first target item, and on the premise that the crust movement data is in a moving state, determining the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread as the first disaster risk information, and reducing the evaluation coefficient of the first disaster risk information by 1; on the premise that the crust movement data is in a static state, reducing the evaluation coefficient of the first disaster risk information by 1; on the premise that the evaluation coefficient of the first disaster risk information is 0, filtering the first disaster risk information.

[0081] Optionally, in this embodiment, the above-mentioned crustal movement data can be preset by the system or server, or can be obtained based on an existing algorithm, by obtaining an assessment coefficient of the disaster risk information, and after screening the disaster risk information, reducing the assessment coefficient of the disaster risk information by 1, and filtering the first disaster risk information under the premise that the assessment coefficient of the first disaster risk information is 0. The case where the above-mentioned assessment coefficient is 0 means that the above-mentioned disaster risk information is applied without a target matter.

[0082] Based on the above, a land space planning disaster risk assessment system based on big data is shown, which includes a processor and a memory that communicate with each other, and the processor is used to read and execute a computer program from the memory to implement the above method.

[0083] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0084] In summary, based on the above scheme, a method is adopted to obtain the target coefficient of the first target item in each land space planning disaster information included in a group of land space planning disaster information, and evaluate the first disaster risk information from the group of land space planning disaster information based on the target coefficient of the first target item in the each land space planning disaster information and the descriptive data of the first target item in the each land space planning disaster information. This can improve the accuracy of disaster assessment, thereby reducing the losses caused by disasters as much as possible.

[0085] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated hardware. Those skilled in the art will understand that the above-mentioned methods and systems can be implemented using computer-executable instructions and / or contained in processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the system and its modules of the present application. Not only can hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc. be implemented, they can also be implemented using software executed by various types of processors, and can also be implemented by a combination of the above-mentioned hardware circuits and software (for example, firmware).

[0086] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or any other possible beneficial effects.

Claims

1. A disaster risk assessment method for land space planning based on big data, characterized by: include: Obtaining target coefficients of the first target item in each piece of land and space planning disaster information included in a set of land and space planning disaster information, wherein the target coefficients include a target integrity coefficient, a target state coefficient, and a target relative positioning coefficient of the first target item; Assessing first disaster risk information from a set of land and space planning disaster information based on a target coefficient of the first target item in each land and space planning disaster information and descriptive data of the first target item in each land and space planning disaster information, wherein the descriptive data is used to represent a descriptive attribute of the first target item and crustal movement data; Among them, the target integrity coefficient of the first target item in the first national land space planning disaster information includes: On the premise that it is determined based on the AI ​​vector data that the first target item is located in the land space planning disaster information constraint condition of the first land space planning disaster information, the target completeness coefficient of the first target item in the first land space planning disaster information is determined to be a coefficient used to indicate that the first target item is in an incomplete state; On the premise that it is determined based on the AI ​​vector data that the first target item is located within the land and space planning disaster information of the first land and space planning disaster information, and that the first target item has an intersection with the remaining existing items, the target completeness coefficient of the first target item in the first land and space planning disaster information is determined to be a coefficient used to indicate that the first target item is in an incomplete state; On the premise that it is determined based on the AI ​​vector data that the first target item is located within the national land space planning disaster information, and that there are no other items or that the first target item has no intersection with the other existing items, the target integrity coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target is in a complete state; The land space planning disaster information constraint conditions are pre-demarcated areas located at the edge of the first land space planning disaster information and unable to fully display the first target item. The land space planning disaster information interior is the area included in the first land space planning disaster information excluding the land space planning disaster information constraint conditions. Among them, the target status coefficient of the first target item in the first national land space planning disaster information includes: On the premise that the vertical AI vector of the disaster-derived area is 0, the target state coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target item is in a side state; On the premise that the horizontal AI vector of the disaster-derived area is 0 and the vertical AI vector is less than or equal to 0, the target state coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target item is in a positive state; On the premise that the horizontal AI vector of the disaster-derived area is 0 and the vertical AI vector is greater than 0, the target state coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target item is in a secondary state; The relative positioning coefficient of the first target item in the first land space planning disaster information includes: On the premise that it is assessed that the relative positioning information is used to indicate that the minimum safety requirement of the first target item in the first national land and space planning disaster information is less than or equal to the first target value, determine the target relative positioning coefficient of the first target item in the first national land and space planning disaster information as the coefficient used to indicate that the first target item is in a state of minimum safety requirement; On the premise that it is assessed that the relative positioning information used to indicate that the difference between the first target item in the first national land space planning disaster information and the first national land space planning disaster information is greater than the first target value and less than or equal to the second target value, determine the target relative positioning coefficient of the first target item in the first national land space planning disaster information as the coefficient used to indicate that the first target item is at the maximum safety requirement; On the premise that it is evaluated that the relative positioning information used to represent the first target item in the first national land space planning disaster information and the difference between the first national land space planning disaster information is greater than the second target value, the target relative positioning coefficient of the first target item in the first national land space planning disaster information is determined to be the coefficient used to represent that the first target item is at the maximum safety requirement.

2. The method according to claim 1, characterized in that Based on the target coefficient of the first target item in each land space planning disaster information and the descriptive data of the first target item in each land space planning disaster information, the first disaster risk information is assessed from a set of land space planning disaster information, including: Determine the importance index values ​​corresponding to the pre-configured target integrity coefficient, target state coefficient, and target relative positioning coefficient; Based on the target integrity coefficient and its corresponding importance index value, target status coefficient and its corresponding importance index value, and the importance index value corresponding to the target relative positioning coefficient unit of the first target item in the land and space planning disaster information of each country, the total coefficient value of the first target item in the land and space planning disaster information of each country is evaluated; The first disaster risk information is evaluated based on the total coefficient value of the first target item in the land and space planning disaster information of each country and the descriptive data of the first target item in the land and space planning disaster information of each country.

3. The method according to claim 2, characterized in that Before evaluating the first disaster risk information from a set of land and space planning disaster information based on the target coefficient of the first target item in each land and space planning disaster information and the descriptive data of the first target item in each land and space planning disaster information, the method further includes: For any piece of land and space planning disaster information in a set of land and space planning disaster information, the following operations are performed to obtain descriptive data of the first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information: When the first target item appears for the first time in the first land and space planning disaster information included in a set of land and space planning disaster information, the description data of the first target item in the first land and space planning disaster information is determined as information for indicating the construction status; On the premise that the first target item appears in first land and space planning disaster information included in a set of land and space planning disaster information and also appears in second land and space planning disaster information included in the set of land and space planning disaster information, the descriptive data of the first target item is determined as information used to indicate a debugging state, wherein the second land and space planning disaster information is land and space planning disaster information included in the set of land and space planning disaster information and located in a frame preceding the first land and space planning disaster information; On the premise that the first target item appears in the first national land space planning disaster information included in a set of national land space planning disaster information, does not appear in the second national land space planning disaster information included in the set of national land space planning disaster information, and appears in the third national land space planning disaster information included in the set of national land space planning disaster information, the descriptive data of the first target item is determined as information used to indicate a lost state, wherein the second national land space planning disaster information is the national land space planning disaster information included in the set of national land space planning disaster information and located in the previous frame of the first national land space planning disaster information, and the third national land space planning disaster information is the national land space planning disaster information included in the set of national land space planning disaster information and located before the second national land space planning disaster information; On the premise that the first target item does not appear in the first land space planning disaster information included in a set of land space planning disaster information, and does not appear in a predetermined number of consecutive planning disaster factors included in the first land space planning disaster information, the descriptive data of the first target item is determined as information for indicating a filtering state, wherein the last planning disaster factor in the predetermined number of consecutive planning disaster factors is the previous planning disaster factor of the first land space planning disaster information; Among them, the first disaster risk information is assessed based on the total coefficient value of the first target item in the land and space planning disaster information of each country and the descriptive data of the first target item in the land and space planning disaster information of each country, including: Under the premise that the description data of the first target item in the currently input land space planning disaster information is in the construction state or the debugging state, determine whether the preset analysis thread is annotated with sample annotation information of the first target item, wherein the sample annotation information is annotated with the highest total coefficient value of the sample of the first target item in the analysis thread; On the premise that sample annotation information is annotated in the analysis thread and the total coefficient value of the first target item in the current input land and space planning disaster information is greater than the highest total coefficient value of the sample annotated by the first target item in the analysis thread, the first sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the current input land and space planning disaster information. The debugged first sample annotation information includes the total coefficient value of the first target item in the current input land and space planning disaster information, the number of occurrences of the first target item in a group of land and space planning disaster information, and the evaluation coefficient and index value of the current input land and space planning disaster information; On the premise that sample annotation information is annotated in the analysis thread and the total coefficient value of the first target item in the current input land and space planning disaster information is less than or equal to the highest total coefficient value of the sample, the second sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the current input land and space planning disaster information. The debugged second sample annotation information includes the number of occurrences of the first target item in a set of land and space planning disaster information, the evaluation coefficient and index value of the current input land and space planning disaster information; On the premise that there is no sample annotation information annotated in the analysis thread, the annotation information of the current input land space planning disaster information is determined as the sample annotation information of the first target item in the analysis thread; On the premise that the description data of the first target item in the currently input land and space planning disaster information is in a lost state, the third sample annotation information included in the sample annotation information is debugged based on the annotation information of the first target item in the currently input land and space planning disaster information, where the debugged third sample annotation information includes the number of occurrences of the first target item in a set of land and space planning disaster information and the index value of the currently input land and space planning disaster information; Determine the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread based on the adjusted sample annotation information, and determine the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread as the first disaster risk information; Under the premise that the description data of the first target item in the currently input land and space planning disaster information is in the filtered state, the land and space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread is determined as the first disaster risk information; The method further includes: Determine the crustal movement data of the first target item. Under the premise that the crustal movement data is in a moving state, determine the land space planning disaster information corresponding to the highest total coefficient value of the sample annotated by the analysis thread as the first disaster risk information, and reduce the assessment coefficient of the first disaster risk information by 1; On the premise that the crustal movement data is in a static state, the assessment coefficient of the first disaster risk information is reduced by 1; On the premise that the assessment coefficient of the first disaster risk information is 0, the first disaster risk information is filtered.

4. The method according to claim 1, characterized in that Obtain the target completeness coefficient of each national land space planning disaster information included in a set of national land space planning disaster information of the first target item, including: For any piece of land and space planning disaster information in a set of land and space planning disaster information, the following operations are performed to obtain a target completeness coefficient of the first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information: on the premise of determining that the first piece of land and space planning disaster information included in the set of land and space planning disaster information includes the first target item, obtain AI vector data of the first target item in the first piece of land and space planning disaster information; Determine the target completeness coefficient of the first target item in the first national land space planning disaster information based on the AI ​​vector data and the intersection condition, wherein the intersection condition is used to indicate whether there is an intersection between the first target item and the remaining items in the first national land space planning disaster information, under the premise that the first national land space planning disaster information includes the remaining items; On the premise that it is determined that the first target item is not included in the first national land space planning disaster information, the target completeness coefficient of the first target item in the first national land space planning disaster information is determined to be a coefficient used to indicate that the first target item does not exist.

5. The method according to claim 1, characterized in that Obtaining the target state coefficient of the first target item in each land space planning disaster information included in a set of land space planning disaster information, including: For any piece of land and space planning disaster information in a set of land and space planning disaster information, the following operations are performed to obtain a target state coefficient of a first target item in each piece of land and space planning disaster information included in the set of land and space planning disaster information: on the premise that it is determined that the first piece of land and space planning disaster information included in the set of land and space planning disaster information includes the first target item, obtain a disaster-derived area of ​​the first target item in the first piece of land and space planning disaster information; The target state coefficient of the first target item in the first national land space planning disaster information is determined based on the disaster derivative area; wherein the disaster derivative area is the comparison result of the AI ​​vector of the first target item in the first national land space planning disaster information and the AI ​​vector of the first target item in the second national land space planning disaster information, and the second national land space planning disaster information is a set of national land space planning disaster information included in the national land space planning disaster information and located in the previous frame of the first national land space planning disaster information.

6. A national land space planning disaster risk assessment system based on big data, characterized by: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 5.

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