CN112989061B - Emergency resource recommendation method and device, electronic equipment and storage medium - Google Patents
Emergency resource recommendation method and device, electronic equipment and storage medium Download PDFInfo
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- CN112989061B CN112989061B CN202110009229.1A CN202110009229A CN112989061B CN 112989061 B CN112989061 B CN 112989061B CN 202110009229 A CN202110009229 A CN 202110009229A CN 112989061 B CN112989061 B CN 112989061B
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
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Abstract
The embodiment of the invention provides an emergency resource recommendation method and device, electronic equipment and a storage medium. According to the embodiment of the invention, the key information corresponding to the current accident is obtained, and the primary emergency resource corresponding to the current accident is obtained from the knowledge graph according to the key information; the knowledge graph comprises historical accidents, the preliminary emergency resources are evaluated based on the historical accidents to obtain an evaluation result, recommended emergency resources are determined from the preliminary emergency resources according to the evaluation result, and the emergency resources are recommended by means of experiences of the historical accidents, so that the accuracy of emergency resource recommendation is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an emergency resource recommendation method and device, electronic equipment and a storage medium.
Background
Enterprises with dangerous sources, especially chemical enterprises, often have devastating effects when major accidents occur. When major accidents happen, all relevant departments pay high attention, and meanwhile, a special working group is established. And arranging an expert group under the working group, wherein the expert group has the function of assisting the leader in making decisions. The workgroup needs to select a group of experts responsible for the current accident from among a plurality of experts and select supplies for rescue from the current accident from among a plurality of supplies. Both the experts and the materials are emergency resources.
In the related art, recommended experts are obtained by independently inquiring the expert database, and recommended goods and materials are obtained by independently inquiring the goods and materials database, so that the recommendation accuracy is low.
Disclosure of Invention
In order to overcome the problems in the related art, the invention provides an emergency resource recommendation method, an emergency resource recommendation device, electronic equipment and a storage medium, and the accuracy of emergency resource recommendation is improved.
According to a first aspect of an embodiment of the present invention, there is provided an emergency resource recommendation method, including:
acquiring key information corresponding to a current accident;
acquiring a primary emergency resource corresponding to the current accident from a knowledge graph according to the key information; the knowledge graph comprises historical accidents;
evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result;
and determining recommended emergency resources from the preliminary emergency resources according to the evaluation result.
According to a second aspect of the embodiments of the present invention, there is provided an emergency resource recommendation device, including:
the acquisition module is used for acquiring key information corresponding to the current accident;
the preliminary recommendation module is used for acquiring preliminary emergency resources corresponding to the current accident from the knowledge graph according to the key information; the knowledge graph comprises historical accidents;
the evaluation module is used for evaluating the preliminary emergency resources based on the historical accidents to obtain an evaluation result;
and the determining module is used for determining recommended emergency resources from the preliminary emergency resources according to the evaluation result.
According to a third aspect of embodiments of the present invention, there is provided an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, implements the method of any of the first aspects.
According to a fourth aspect of embodiments of the present invention, there is provided a computer-readable storage medium having stored thereon computer instructions which, when executed, implement the method of any one of the first aspect.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
according to the embodiment of the invention, the key information corresponding to the current accident is obtained, and the preliminary emergency resource corresponding to the current accident is obtained from the knowledge graph according to the key information; the knowledge graph comprises historical accidents, the preliminary emergency resources are evaluated based on the historical accidents to obtain evaluation results, recommended emergency resources are determined from the preliminary emergency resources according to the evaluation results, the emergency resources are recommended by means of experience of the historical accidents, and accuracy of emergency resource recommendation is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the specification.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present specification and together with the description, serve to explain the principles of the specification.
Fig. 1 is a diagram of a knowledge graph model according to an embodiment of the present invention.
Fig. 2 is a flowchart illustrating an emergency resource recommendation method according to an embodiment of the present invention.
Fig. 3 is a functional block diagram of an emergency resource recommendation device according to an embodiment of the present invention.
Fig. 4 is a hardware structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of embodiments of the invention, as detailed in the following claims.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the invention. As used in the description of the invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used to describe various information in embodiments of the present invention, the information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of embodiments of the present invention. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
The emergency resource recommendation method provided by the embodiment of the invention can be used for recommending emergency resources by means of experience of historical accidents so as to assist emergency working group members in selecting expert information, establishing an expert group and selecting a proper material library. When an enterprise, particularly an enterprise with high destructiveness in the fields of dangerization, coal mines and the like, has an accident, the emergency resource recommendation method provided by the embodiment of the invention can be adopted to assist emergency rescue personnel to search for emergency resources.
Before the emergency resource recommendation method provided by the embodiment of the invention is used, a knowledge graph model shown in fig. 1 needs to be designed, and historical data is imported according to the knowledge graph model to form a knowledge graph.
Fig. 1 is a diagram of a knowledge graph model according to an embodiment of the present invention. Referring to fig. 1, the knowledge-graph includes the following entity attributes:
enterprise information (enterprise name, enterprise type, business license, security principal, address, etc.);
hazard (hazard name, involved substance, affiliated business, etc.);
historical accidents (accident names, accident keywords, accident related materials, related businesses, etc.);
expert information (name, age, field of engagement, expert type, address, contact, emergency work experience, health status, expert level, longitude, latitude, etc.);
materials (name, belonging category, belonging material library, stock condition, etc.);
stock (name, location, leader group leader, longitude, latitude, etc.).
Wherein each entity attribute may be stored with a database. Or all entity attributes in the knowledge graph are stored in the same database.
The emergency resource recommendation method provided by the embodiment of the invention can be executed based on the knowledge graph formed by the knowledge graph model shown in fig. 1.
The following describes the emergency resource recommendation method provided by the present invention in detail by embodiments.
Fig. 2 is a flowchart illustrating an emergency resource recommendation method according to an embodiment of the present invention. As shown in fig. 2, in this embodiment, the emergency resource recommendation method may include:
s201, acquiring key information corresponding to the current accident.
S202, acquiring a primary emergency resource corresponding to the current accident from a knowledge graph according to the key information; the knowledge graph includes historical incidents.
S203, evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result.
And S204, determining recommended emergency resources from the preliminary emergency resources according to the evaluation result.
The key information may include a current accident occurrence location, a name of an enterprise corresponding to the current accident-related enterprise, an accident keyword of the current accident, and the like.
In one example, the key information corresponding to the current accident may be acquired by processing the input information of the user through a natural language. The expression of the key information can be (location, business name, accident keyword).
For example, the user input information is "explosion accident of Jiangsu Xiangshui Tianjiayi chemical industry Co., Ltd", and key information (explosion of Jiangsu Xiangshui Tianjiayi chemical industry Co., Ltd) can be extracted from the input information.
In one example, the knowledge-graph may include historical incidents, business information, hazard sources, expert information, supplies and supplies libraries, and the like.
In one example, the key information includes a business name corresponding to the current business involved; in step S202, obtaining a preliminary emergency resource corresponding to the current accident from the knowledge graph according to the key information may include:
acquiring a danger source set corresponding to the current enterprise related to the affairs from the knowledge graph according to the enterprise name corresponding to the current enterprise related to the affairs, wherein the danger source set comprises at least one danger source;
acquiring a similar historical accident set corresponding to the current accident from the knowledge graph according to the danger source set; the similar historical accident set comprises at least one historical accident similar to the current accident;
and acquiring a primary emergency resource corresponding to the current accident from the knowledge graph according to the similar historical accident set.
For example, assuming that a business name is e and an accident is explosion, all the dangerous sources belonging to the business are e can be obtained by querying the dangerous sources of the knowledge graph through the business name e, and thus the dangerous source set D corresponding to the business e is { D1, D2, … …, di }. Acquiring a similar historical accident set A corresponding to the current accident 'explosion' from the knowledge graph according to the risk source set D ═ { D1, D2, … …, di }, and acquiring emergency resources such as expert information, material bases and the like according to the similar historical accident set A ═ { a1, a2, … …, ai }, and acquiring the emergency resources such as expert information, material bases and the like according to the similar historical accident set A ═ a1, a2, … …, ai }.
In one example, the key information further includes an incident key for the current incident; according to the set of the danger sources, acquiring a similar historical accident set corresponding to the current accident from the knowledge graph, wherein the similar historical accident set comprises:
determining a candidate substance set corresponding to the current accident according to related materials corresponding to each hazard source in the hazard source set;
determining alternative historical accidents from historical accidents of the knowledge graph according to the alternative substance set and accident keywords corresponding to the current accidents, wherein all the alternative historical accidents form an alternative historical accident set;
acquiring an event-related enterprise set corresponding to the alternative historical accident set from the knowledge map, and determining a similar enterprise set from the event-related enterprise set according to the enterprise similarity between the current event-related enterprise and each event-related enterprise in the event-related enterprise set;
and determining a similar historical accident set corresponding to the current accident according to the similar enterprise set.
For example, in the knowledge graph in fig. 1, each risk source includes related substances, and a set is formed by combining related substances si included in each risk source di in a set D { D1, D2, … …, di } corresponding to the enterprise e, that is, a set S of alternative substances corresponding to the set D { S1, S2, … …, si };
then, according to the alternative substance set S { S1, S2, … …, si } and an accident keyword (such as explosion) corresponding to the current accident, searching historical accidents tai related to the fact that the substances are si and the accident keyword comprises 'explosion' from historical accidents of the knowledge graph in a fuzzy matching mode, and taking the historical accidents tai as alternative historical accidents, wherein all the alternative historical accidents form an alternative historical accident set TA { TA1, TA2, … …, tai };
traversing TA, and acquiring a trouble related enterprise tei corresponding to the accident tai from the knowledge graph to form a trouble related enterprise set TE ═ TE1, TE2, … … and tei };
carrying out Similarity evaluation on the current enterprise e involved and the enterprises in the set TE by using a preset enterprise Similarity algorithm (such as jaccard Similarity) to obtain the enterprise Similarity corresponding to each enterprise in the set TE;
selecting enterprises with enterprise similarity greater than or equal to a preset enterprise similarity threshold value in the set TE to form a similar enterprise set E ═ E1, E2, … … and ei };
and determining a similar historical accident set A corresponding to the accident 'explosion' according to the similar enterprise set E ═ { E1, E2, … …, ei }, wherein the similarity Ji corresponding to the accident ai corresponds to the similarity Ji { a1, a2, … …, ai }.
The method for calculating the enterprise similarity may be as follows:
defining A1 as the business license set of historical related enterprises and B1 as the business license set of current related enterprises; defining A2 as a dangerous source material set of a historical enterprise, and defining B2 as a dangerous source material set of a current enterprise; the enterprise similarity can be calculated by the following formula (1) and formula (2):
enterprise similarity α J (a1, B1) + β J (a2, B2) (1)
J(A,B)＝(A∩B)/(A∪B) (2)
In one example, the emergency resource includes expert information; according to the similar historical accident set, acquiring a preliminary emergency resource corresponding to the current accident from the knowledge graph, which may include:
and acquiring a preliminary expert information set corresponding to the current accident according to the similar historical accident set.
In one example, obtaining a preliminary expert information set corresponding to a current accident according to the similar historical accident set may include:
traversing each similar historical accident in the similar historical accident set, and acquiring an expert set corresponding to each similar historical accident;
and merging the expert information sets corresponding to all similar historical accidents in the similar historical accident set to obtain the preliminary expert information set.
Wherein the historical accidents are accidents that have already occurred, the expert information for handling the historical accidents is known, and the corresponding relationship between the expert information and the historical accidents can be stored in the historical accidents of the knowledge graph shown in fig. 1, so that the expert information set corresponding to each similar historical accident can be obtained from the historical accidents of the knowledge graph.
In the similar historical accident set a ═ a1, a2, … …, ai }, the expert information set corresponding to the similar historical accident ai is Exi ═ ex1, ex2, … …, exj }. The historical accident, the historical accident similarity and the expert information can be represented as (ai, Ji, Exi), wherein ai represents the accident ai in the similar historical accident set a, Ji represents the accident similarity between the accident ai and the current accident, and Exi represents the expert information set corresponding to the accident ai.
Assuming that there are 10 similar historical accidents a1 and a2 … … a10 in the similar historical accident set a, there are 10 corresponding expert information sets Ex1 and Ex2 … … Ex10, and at this time, the preliminary expert information set Ex is Ex1 ═ Ex2 ═ … … { [ test ] Ex 10. Wherein the symbol "U" denotes a union set.
In one example, the emergency resource includes a collection of supplies libraries; according to the similar historical accident set, acquiring a preliminary emergency resource corresponding to the current accident from the knowledge graph, which may include:
and acquiring a preliminary material library set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, acquiring a preliminary material library set corresponding to a current accident, including:
traversing each similar historical accident in the similar historical accident set, and acquiring a rescue goods and materials set corresponding to each similar historical accident;
and determining a material library set matched with the material set based on a preset material library matching algorithm to serve as a material library set corresponding to similar historical accidents, and combining the material library sets corresponding to all similar historical accidents in the similar historical accident set to obtain a preliminary material library set.
Rescue goods and materials used in historical accidents are known, and the corresponding relation between the historical accidents and the used rescue goods and materials can be stored in the historical accidents of the knowledge graph. Therefore, similar historical accidents are inquired in the historical accidents of the knowledge graph through inquiry, and the corresponding rescue goods and materials set can be obtained.
The set Mi ═ { Mi1, Mi2, … …, mij } is used to represent the set of rescue supplies for the historical accident ai.
The material library set corresponding to the historical accident ai is Si ═ { s1, s2, … …, sj }, and the material matching degree corresponding to the material library sj is cj, so the material matching degree of the material library is represented as SCi { (s1, c1), (s2, c2), … …, (sj, cj) }.
The preliminary material library set is a union set of material library sets corresponding to all the historical accidents in the similar historical accident set a { a1, a2, … …, ai }.
Assuming that there are 10 similar historical accidents a1 and a2 … … a10 in the similar historical accident set a, there are 10 material library sets S1 and S2 … … S10, and at this time, the preliminary expert information set S is S1 ≧ S2 ≦ S … … ≦ S10.
The material matching degree cj of the material library can be calculated in the following mode:
defining A as the material set used by accident and B as the material set of material library, the matching degree of material in material library is (A ≈ B)/A. Wherein A ≧ B denotes the intersection of sets A and B.
In one example, when the emergency resource is expert information, the evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result may include:
aiming at each expert information in a preliminary expert information set, acquiring expert experience corresponding to the expert information based on an expert information set corresponding to each similar historical accident in the similar historical accident set;
acquiring an address of the expert from the knowledge graph, and determining an expert position parameter corresponding to the expert according to the address;
acquiring the similarity between the similar historical accident corresponding to the expert information and the current accident;
and determining a first evaluation value corresponding to the expert information according to the expert experience, the expert position parameters and the similarity corresponding to the expert information.
Wherein the first evaluation value can be expressed by the following formula (3):
first evaluation value a1 × exe + b1 × exL + c × Ji (3)
In the formula (3), a1 is an empirical coefficient, b1 is a position coefficient, and c is a similarity coefficient. exe represents expert experience of a certain expert in the expert information set Exi, exL is an expert location parameter, and Ji is accident similarity corresponding to the accident ai.
The acquisition mode of the expert experience exe is as follows:
traversing the set preliminary expert information set Ex, and defining a variable Ex as an expert element in the set;
traversing the similar historical accident set A, Exy representing the expert information set corresponding to the accident ay, and if ex ∈ Exy, determining that the expert experience ee + + corresponding to the expert information ex.
Wherein, the expert position parameter value is 1 when the distance between the expert address and the place where the enterprise is involved is within the target range (L, D), and the expert position parameter value is 0 when the distance between the expert address and the place where the enterprise is involved is outside the target range (L, D).
In one example, when the emergency resource is a material library, evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result may include:
for each material library in the preliminary material library set needle, acquiring the material matching degree corresponding to the material library;
determining a position parameter corresponding to the material library according to the location of the material library in the knowledge map;
acquiring similar historical accident similarity corresponding to similar historical accidents corresponding to the material library;
and determining a second evaluation value corresponding to the material library according to the similarity of the similar historical accidents, the material matching degree corresponding to the material library and the position parameter.
Wherein the second evaluation value can be expressed by the following formula (4):
second evaluation value a sc Ji + b sL (4)
Where a is a similarity coefficient and b is a position coefficient. sc is the material matching degree of the material library in the material library set Si, sL is the position parameter of the material library, and Ji is the similarity of the accident ai.
In this embodiment, when the emergency resource is the expert information, determining, according to the evaluation result, a recommended emergency resource from the preliminary emergency resources may include:
the expert information for which the first evaluation value is greater than or equal to the first evaluation value threshold is determined as recommended expert information.
The first evaluation value threshold value may be set empirically, among others.
In this embodiment, when the emergency resource is the material library, determining, according to the evaluation result, a recommended emergency resource from the preliminary emergency resource may include:
and determining the material library with the second evaluation value larger than or equal to the second evaluation value threshold value as a recommended material library.
Wherein the second evaluation value threshold value may be set empirically.
When an accident occurs, the emergency staff members who deal with the accident can obtain the recommended expert information and the material base by inputting information by using the emergency resource recommendation method provided by the embodiment of the invention, on the basis, a plurality of experts are selected from the recommended expert information to form an expert group of the current accident, and a plurality of material bases are selected from the recommended material base to form a material base set of the current accident.
According to the emergency resource recommendation method provided by the embodiment of the invention, the key information corresponding to the current accident is obtained, and the primary emergency resource corresponding to the current accident is obtained from the knowledge graph according to the key information; the knowledge graph comprises historical accidents, the preliminary emergency resources are evaluated based on the historical accidents to obtain evaluation results, recommended emergency resources are determined from the preliminary emergency resources according to the evaluation results, the emergency resources are recommended by means of experience of the historical accidents, and accuracy of emergency resource recommendation is improved.
Based on the above method embodiment, the embodiment of the present invention further provides corresponding apparatus, device, and storage medium embodiments. For detailed implementation of the embodiments of the apparatus, device and storage medium of the embodiments of the present invention, please refer to the corresponding descriptions in the foregoing method embodiments.
Fig. 3 is a functional block diagram of an emergency resource recommendation device according to an embodiment of the present invention. As shown in fig. 3, in this embodiment, the emergency resource recommendation device may include:
an obtaining module 310, configured to obtain key information corresponding to a current accident;
the preliminary recommendation module 320 is configured to obtain a preliminary emergency resource corresponding to the current accident from the knowledge graph according to the key information; the knowledge graph comprises historical accidents;
the evaluation module 330 is configured to evaluate the preliminary emergency resource based on the historical accident to obtain an evaluation result;
a determining module 340, configured to determine, according to the evaluation result, a recommended emergency resource from the preliminary emergency resources.
In one example, the knowledge-graph further includes enterprise information, hazard sources, expert information, supplies, and supplies bases.
In one example, the key information includes a business name corresponding to a currently involved business; the preliminary recommendation module 320 may be specifically configured to:
acquiring a danger source set corresponding to the current enterprise related to the affairs from the knowledge graph according to the enterprise name corresponding to the current enterprise related to the affairs, wherein the danger source set comprises at least one danger source;
acquiring a similar historical accident set corresponding to the current accident from the knowledge graph according to the danger source set; the similar historical accident set comprises at least one historical accident similar to the current accident;
and acquiring a primary emergency resource corresponding to the current accident from the knowledge graph according to the similar historical accident set.
In one example, the key information further includes an incident key for the current incident;
according to the set of the danger sources, acquiring a similar historical accident set corresponding to the current accident from the knowledge graph, wherein the similar historical accident set comprises:
determining a candidate substance set corresponding to the current accident according to related materials corresponding to each hazard source in the hazard source set;
determining alternative historical accidents from historical accidents of the knowledge graph according to the alternative substance set and accident keywords corresponding to the current accidents, wherein all the alternative historical accidents form an alternative historical accident set;
acquiring an affair-related enterprise set corresponding to the alternative historical accident set from the knowledge graph, and determining a similar enterprise set from the affair-related enterprise set according to the enterprise similarity between the current affair-related enterprise and each affair-related enterprise in the affair-related enterprise set;
and determining a similar historical accident set corresponding to the current accident according to the similar enterprise set.
In one example, the emergency resource includes expert information;
according to the similar historical accident set, acquiring a preliminary emergency resource corresponding to the current accident from the knowledge graph, wherein the preliminary emergency resource comprises:
and acquiring a preliminary expert information set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, obtaining a preliminary expert information set corresponding to a current accident includes:
traversing each similar historical accident in the similar historical accident set, and acquiring an expert information set corresponding to each similar historical accident;
and merging the expert information sets corresponding to all similar historical accidents in the similar historical accident set to obtain the preliminary expert information set.
In one example, the emergency resource includes a collection of supplies libraries;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary material library set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, acquiring a preliminary material library set corresponding to a current accident, including:
traversing each similar historical accident in the similar historical accident set, and acquiring a rescue goods and materials set corresponding to each similar historical accident;
and determining a material library set matched with the material set based on a preset material library matching algorithm to serve as a material library set corresponding to similar historical accidents, and combining the material library sets corresponding to all similar historical accidents in the similar historical accident set to obtain a preliminary material library set.
In one example, the evaluation module 330 may be specifically configured to:
aiming at each expert information in a preliminary expert information set, acquiring expert experience corresponding to the expert information based on an expert information set corresponding to each similar historical accident in the similar historical accident set;
acquiring an address of an expert corresponding to the expert information from the knowledge graph, and determining an expert position parameter corresponding to the expert information according to the address;
acquiring the similarity between the similar historical accident corresponding to the expert information and the current accident;
and determining a first evaluation value corresponding to the expert information according to the expert experience, the expert position parameters and the similarity corresponding to the expert information.
In one example, the evaluation module 330 may be specifically configured to:
aiming at each material library in the preliminary material library set, acquiring the material matching degree corresponding to the material library;
determining a position parameter corresponding to the material library according to the location of the material library in the knowledge map;
acquiring similar historical accident similarity corresponding to similar historical accidents corresponding to the material library;
and determining a second evaluation value corresponding to the material database according to the similarity of the similar historical accidents, the material matching degree corresponding to the material database and the position parameter.
In one example, the determining module 340 may be specifically configured to:
the expert information for which the first evaluation value is greater than or equal to the first evaluation value threshold is determined as recommended expert information.
In one example, the determining module 340 may be specifically configured to:
and determining the material library with the second evaluation value larger than or equal to the second evaluation value threshold value as a recommended material library.
The embodiment of the invention also provides the electronic equipment. Fig. 4 is a hardware structure diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 4, the electronic apparatus includes: an internal bus 401, and a memory 402, a processor 403, and an external interface 404 connected through the internal bus.
The processor 403 is configured to read the machine-readable instructions in the memory 402 and execute the instructions to implement the following operations:
acquiring key information corresponding to a current accident;
acquiring a primary emergency resource corresponding to the current accident from a knowledge graph according to the key information; the knowledge graph comprises historical accidents;
evaluating the preliminary emergency resources based on the historical accidents to obtain an evaluation result;
and determining recommended emergency resources from the preliminary emergency resources according to the evaluation result.
In one example, the knowledge-graph further includes enterprise information, hazard sources, expert information, supplies, and supplies bases.
In one example, the key information includes a business name corresponding to a current related business;
according to the key information, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
acquiring a danger source set corresponding to the current enterprise related to the affairs from the knowledge graph according to the enterprise name corresponding to the current enterprise related to the affairs, wherein the danger source set comprises at least one danger source;
acquiring a similar historical accident set corresponding to the current accident from the knowledge graph according to the danger source set; the similar historical accident set comprises at least one historical accident similar to the current accident;
and acquiring a preliminary emergency resource corresponding to the current accident from the knowledge graph according to the similar historical accident set.
In one example, the key information further includes an incident key for the current incident;
according to the set of the danger sources, acquiring a similar historical accident set corresponding to the current accident from the knowledge graph, wherein the similar historical accident set comprises:
determining a candidate substance set corresponding to the current accident according to related materials corresponding to each hazard source in the hazard source set;
determining alternative historical accidents from historical accidents of the knowledge graph according to the alternative substance set and accident keywords corresponding to the current accidents, wherein all the alternative historical accidents form an alternative historical accident set;
acquiring an affair-related enterprise set corresponding to the alternative historical accident set from the knowledge graph, and determining a similar enterprise set from the affair-related enterprise set according to the enterprise similarity between the current affair-related enterprise and each affair-related enterprise in the affair-related enterprise set;
and determining a similar historical accident set corresponding to the current accident according to the similar enterprise set.
In one example, the emergency resource includes expert information;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary expert information set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, obtaining a preliminary expert information set corresponding to a current accident includes:
traversing each similar historical accident in the similar historical accident set, and acquiring an expert information set corresponding to each similar historical accident;
and merging the expert information sets corresponding to all similar historical accidents in the similar historical accident set to obtain the preliminary expert information set.
In one example, the emergency resource includes a collection of supplies libraries;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary material library set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, acquiring a preliminary material library set corresponding to a current accident, including:
traversing each similar historical accident in the similar historical accident set, and acquiring a rescue goods and materials set corresponding to each similar historical accident;
and determining a material library set matched with the material set based on a preset material library matching algorithm to serve as a material library set corresponding to similar historical accidents, and combining the material library sets corresponding to all similar historical accidents in the similar historical accident set to obtain a preliminary material library set.
In one example, the preliminary emergency resource is evaluated based on the historical accident to obtain an evaluation result, including:
aiming at each expert information in a preliminary expert information set, acquiring expert experience corresponding to the expert information based on an expert information set corresponding to each similar historical accident in the similar historical accident set;
acquiring an address of an expert corresponding to the expert information from the knowledge graph, and determining an expert position parameter corresponding to the expert information according to the address;
acquiring the similarity between the similar historical accident corresponding to the expert information and the current accident;
and determining a first evaluation value corresponding to the expert information according to the expert experience, the expert position parameters and the similarity corresponding to the expert information.
In one example, the preliminary emergency resource is evaluated based on the historical accident to obtain an evaluation result, including:
aiming at each material library in the preliminary material library set, acquiring the material matching degree corresponding to the material library;
determining a position parameter corresponding to the material library according to the location of the material library in the knowledge map;
acquiring similar historical accident similarity corresponding to similar historical accidents corresponding to the material library;
and determining a second evaluation value corresponding to the material library according to the similarity of the similar historical accidents, the material matching degree corresponding to the material library and the position parameter.
In one example, determining a recommended emergency resource from the preliminary emergency resources based on the evaluation comprises:
the expert information for which the first evaluation value is greater than or equal to the first evaluation value threshold is determined as recommended expert information.
In one example, determining a recommended emergency resource from the preliminary emergency resources based on the evaluation comprises:
and determining the material library with the second evaluation value larger than or equal to the second evaluation value threshold value as a recommended material library.
An embodiment of the present invention further provides a computer-readable storage medium, where a plurality of computer instructions are stored on the computer-readable storage medium, and when executed, the computer instructions perform the following processing:
acquiring key information corresponding to a current accident;
acquiring a primary emergency resource corresponding to the current accident from a knowledge graph according to the key information; the knowledge graph comprises historical accidents;
evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result;
and determining recommended emergency resources from the preliminary emergency resources according to the evaluation result.
In one example, the knowledge-graph further includes enterprise information, hazard sources, expert information, supplies, and supplies bases.
In one example, the key information includes a business name corresponding to a currently involved business;
according to the key information, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
acquiring a danger source set corresponding to the current enterprise related to the affairs from the knowledge graph according to the enterprise name corresponding to the current enterprise related to the affairs, wherein the danger source set comprises at least one danger source;
acquiring a similar historical accident set corresponding to the current accident from the knowledge graph according to the danger source set; the similar historical accident set comprises at least one historical accident similar to the current accident;
and acquiring a primary emergency resource corresponding to the current accident from the knowledge graph according to the similar historical accident set.
In one example, the key information further includes an incident key for the current incident;
according to the set of the danger sources, acquiring a similar historical accident set corresponding to the current accident from the knowledge graph, wherein the similar historical accident set comprises:
determining a candidate substance set corresponding to the current accident according to related materials corresponding to each hazard source in the hazard source set;
determining alternative historical accidents from historical accidents of the knowledge graph according to the alternative substance set and accident keywords corresponding to the current accidents, wherein all the alternative historical accidents form an alternative historical accident set;
acquiring an event-related enterprise set corresponding to the alternative historical accident set from the knowledge map, and determining a similar enterprise set from the event-related enterprise set according to the enterprise similarity between the current event-related enterprise and each event-related enterprise in the event-related enterprise set;
and determining a similar historical accident set corresponding to the current accident according to the similar enterprise set.
In one example, the emergency resource includes expert information;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary expert information set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, obtaining a preliminary expert information set corresponding to a current accident includes:
traversing each similar historical accident in the similar historical accident set, and acquiring an expert information set corresponding to each similar historical accident;
and merging the expert information sets corresponding to all similar historical accidents in the similar historical accident set to obtain the preliminary expert information set.
In one example, the emergency resource includes a collection of supplies libraries;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary material library set corresponding to the current accident according to the similar historical accident set.
In one example, according to the similar historical accident set, acquiring a preliminary material library set corresponding to a current accident, including:
traversing each similar historical accident in the similar historical accident set, and acquiring a rescue goods and materials set corresponding to each similar historical accident;
and determining a material library set matched with the material set based on a preset material library matching algorithm to serve as a material library set corresponding to similar historical accidents, and combining the material library sets corresponding to all similar historical accidents in the similar historical accident set to obtain a preliminary material library set.
In one example, the preliminary emergency resource is evaluated based on the historical accident to obtain an evaluation result, including:
aiming at each expert information in a preliminary expert information set, acquiring expert experience corresponding to the expert information based on an expert information set corresponding to each similar historical accident in the similar historical accident set;
acquiring an address of an expert corresponding to the expert information from the knowledge graph, and determining an expert position parameter corresponding to the expert information according to the address;
acquiring the similarity between the similar historical accident corresponding to the expert information and the current accident;
and determining a first evaluation value corresponding to the expert information according to the expert experience, the expert position parameters and the similarity corresponding to the expert information.
In one example, the preliminary emergency resource is evaluated based on the historical accident to obtain an evaluation result, including:
aiming at each material library in the preliminary material library set, acquiring the material matching degree corresponding to the material library;
determining a position parameter corresponding to the material library according to the location of the material library in the knowledge map;
acquiring similarity of similar historical accidents corresponding to the material database;
and determining a second evaluation value corresponding to the material library according to the similarity of the similar historical accidents, the material matching degree corresponding to the material library and the position parameter.
In one example, determining a recommended emergency resource from the preliminary emergency resources based on the evaluation comprises:
the expert information for which the first evaluation value is greater than or equal to the first evaluation value threshold is determined as recommended expert information.
In one example, determining a recommended emergency resource from the preliminary emergency resources based on the evaluation comprises:
and determining the material library with the second evaluation value larger than or equal to the second evaluation value threshold value as a recommended material library.
For the device and apparatus embodiments, as they correspond substantially to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts displayed as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution in the specification. One of ordinary skill in the art can understand and implement it without inventive effort.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This specification is intended to cover any variations, uses, or adaptations of the specification following, in general, the principles of the specification and including such departures from the present disclosure as come within known or customary practice within the art to which the specification pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the specification being indicated by the following claims.
It will be understood that the present description is not limited to the precise arrangements described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present description is limited only by the appended claims.
The above description is only a preferred embodiment of the present disclosure, and should not be taken as limiting the present disclosure, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (13)
1. An emergency resource recommendation method, comprising:
acquiring key information corresponding to a current accident;
acquiring a preliminary emergency resource corresponding to the current accident from a knowledge graph according to the key information; the knowledge graph comprises historical accidents;
evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result;
determining recommended emergency resources from the preliminary emergency resources according to the evaluation result;
the key information comprises an enterprise name corresponding to the current enterprise related to the accident and an accident keyword corresponding to the current accident; the acquiring of the primary emergency resource corresponding to the current accident from the knowledge graph according to the key information includes:
acquiring a danger source set corresponding to the current enterprise related to the affairs from the knowledge graph according to the enterprise name corresponding to the current enterprise related to the affairs, wherein the danger source set comprises at least one danger source;
determining an alternative material set corresponding to the current accident according to related materials corresponding to each hazard source in the hazard source set;
determining alternative historical accidents from historical accidents of the knowledge graph according to the alternative material collection and accident keywords corresponding to the current accidents, wherein all the alternative historical accidents form an alternative historical accident collection;
acquiring an event-related enterprise set corresponding to the alternative historical accident set from the knowledge map, and determining a similar enterprise set from the event-related enterprise set according to the enterprise similarity between the current event-related enterprise and each event-related enterprise in the event-related enterprise set;
determining a similar historical accident set corresponding to the current accident according to the similar enterprise set, wherein the similar historical accident set comprises at least one historical accident similar to the current accident;
and acquiring a primary emergency resource corresponding to the current accident from the knowledge graph according to the similar historical accident set.
2. The method of claim 1, wherein the knowledge-graph further comprises business information, hazard sources, expert information, supplies, and supplies bases.
3. The method of claim 1, wherein the emergency resource comprises expert information;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary expert information set corresponding to the current accident according to the similar historical accident set.
4. The method according to claim 3, wherein obtaining a preliminary expert information set corresponding to a current accident according to the similar historical accident set comprises:
traversing each similar historical accident in the similar historical accident set, and acquiring an expert information set corresponding to each similar historical accident;
and merging the expert information sets corresponding to all similar historical accidents in the similar historical accident set to obtain the preliminary expert information set.
5. The method of claim 1, wherein the emergency resource comprises a collection of supplies;
according to the similar historical accident set, acquiring a primary emergency resource corresponding to the current accident from the knowledge graph, wherein the primary emergency resource comprises:
and acquiring a preliminary material library set corresponding to the current accident according to the similar historical accident set.
6. The method according to claim 5, wherein obtaining a preliminary material library set corresponding to a current accident according to the similar historical accident set comprises:
traversing each similar historical accident in the similar historical accident set, and acquiring a rescue goods and materials set corresponding to each similar historical accident;
and determining a material database set matched with the material set based on a preset material database matching algorithm to serve as a material database set corresponding to similar historical accidents, and merging the material database sets corresponding to all similar historical accidents in the similar historical accident set to obtain a preliminary material database set.
7. The method of claim 3, wherein evaluating the preliminary emergency resource based on the historical incident results in an evaluation result comprising:
aiming at each expert information in a preliminary expert information set, acquiring expert experience corresponding to the expert information based on an expert information set corresponding to each similar historical accident in the similar historical accident set;
acquiring an address of an expert corresponding to the expert information from the knowledge graph, and determining an expert position parameter corresponding to the expert information according to the address;
acquiring the similarity between the similar historical accident corresponding to the expert information and the current accident;
and determining a first evaluation value corresponding to the expert information according to the expert experience, the expert position parameters and the similarity corresponding to the experts.
8. The method of claim 5, wherein evaluating the preliminary emergency resource based on the historical incident results in an evaluation result comprising:
aiming at each material library in the preliminary material library set, acquiring the material matching degree corresponding to the material library;
determining a position parameter corresponding to the material database according to the location of the material database in the knowledge graph;
acquiring similar historical accident similarity corresponding to similar historical accidents corresponding to the material library;
and determining a second evaluation value corresponding to the material database according to the similarity of the similar historical accidents, the material matching degree corresponding to the material database and the position parameter.
9. The method of claim 7, wherein determining a recommended emergency resource from the preliminary emergency resources based on the evaluation comprises:
the expert information for which the first evaluation value is greater than or equal to the first evaluation value threshold is determined as recommended expert information.
10. The method of claim 8, wherein determining a recommended emergency resource from the preliminary emergency resources based on the evaluation comprises:
and determining the material base with the second evaluation value larger than or equal to the second evaluation value threshold value as the recommended material base.
11. An emergency resource recommendation device, comprising:
the acquisition module is used for acquiring key information corresponding to the current accident;
the preliminary recommendation module is used for acquiring preliminary emergency resources corresponding to the current accident from the knowledge graph according to the key information; the knowledge graph comprises historical accidents;
the evaluation module is used for evaluating the preliminary emergency resource based on the historical accident to obtain an evaluation result;
the determining module is used for determining recommended emergency resources from the preliminary emergency resources according to the evaluation result;
the key information comprises an enterprise name corresponding to the current enterprise related to the accident and an accident keyword corresponding to the current accident; the preliminary recommendation module is specifically configured to:
acquiring a danger source set corresponding to the current enterprise related to the affairs from the knowledge graph according to the enterprise name corresponding to the current enterprise related to the affairs, wherein the danger source set comprises at least one danger source;
determining an alternative material set corresponding to the current accident according to related materials corresponding to each hazard source in the hazard source set;
determining alternative historical accidents from historical accidents of the knowledge graph according to the alternative material collection and accident keywords corresponding to the current accidents, wherein all the alternative historical accidents form an alternative historical accident collection;
acquiring an affair-related enterprise set corresponding to the alternative historical accident set from the knowledge graph, and determining a similar enterprise set from the affair-related enterprise set according to the enterprise similarity between the current affair-related enterprise and each affair-related enterprise in the affair-related enterprise set;
determining a similar historical accident set corresponding to the current accident according to the similar enterprise set, wherein the similar historical accident set comprises at least one historical accident similar to the current accident;
and acquiring a primary emergency resource corresponding to the current accident from the knowledge graph according to the similar historical accident set.
12. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, implements the method of any of claims 1-10.
13. A computer-readable storage medium having stored thereon computer instructions which, when executed, implement the method of any one of claims 1 to 10.
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