CN117350445A - Intelligent emergency command system and method based on artificial intelligence - Google Patents
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Abstract
The invention relates to the technical field of emergency command and dispatch, in particular to an intelligent emergency command system and method based on artificial intelligence, wherein the intelligent emergency command system and method comprises the steps that a power plant supervision platform carries out information carding of unit road sections and marking processing of characteristic unit road sections on a plurality of emergency material dispatching route groups generated by responding to each emergency material calling request based on real-time traffic conditions when dangerous situations are occurring and no dangerous situations are occurring in the whole domain of a plant station; judging and identifying a target unit road section affected by the dangerous case event; and carrying out early warning index evaluation on each target unit road section according to the first characteristic index and the second characteristic index corresponding to each target unit road section, and feeding back the early warning index to an emergency commander to assist the emergency commander in arranging personnel for dredging and maintaining the road section in the plant station when a dangerous event occurs.
Description
Technical Field
The invention relates to the technical field of emergency command and dispatch, in particular to an intelligent emergency command system and method based on artificial intelligence.
Background
Along with the rapid increase of the scale of the hydroelectric installation in recent years, the hydropower station becomes the main force of energy conservation and emission reduction, but the problems of low integration degree, large standard deviation, less intelligent decision application and the like of the conventional hydropower station are gradually revealed, the maximization of efficiency and benefit is difficult to realize, and the development and the growth of the hydropower industry are restricted. Therefore, accelerating the digitization, informatization and intelligent construction of the hydropower industry is urgent.
In the process of scheduling and managing emergency materials in emergency situations of a hydropower station, it is important to schedule the materials reasonably and efficiently, and in emergency situations, the requirements of the materials are often very urgent, so that the scheduling of the materials must be quick, accurate and efficient, which means that the reasonable control of the emergency materials and emergency personnel which can be scheduled in the whole field of the station and the necessary dredging and maintenance of a transportation road section are also important.
Disclosure of Invention
The invention aims to provide an intelligent emergency command system and method based on artificial intelligence, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent emergency command method based on artificial intelligence, which comprises the following steps:
step S100: capturing each emergency material calling request received by a power plant supervision platform in the process of dangerous case occurrence in a factory station universe, acquiring real-time traffic conditions of the power plant supervision platform when dangerous cases are occurring and no dangerous cases are occurring in the factory station universe, responding to a plurality of emergency material dispatching route groups generated by each emergency material calling request, and carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
step S200: the marking distribution condition presented by the characteristic unit road sections in each emergency material dispatching route group is combed, and the target unit road sections affected by the dangerous event are judged and identified from each emergency material dispatching route group;
step S300: based on each target unit road section, calculating a first characteristic index for each target unit road section according to characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests; calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur;
step S400: and carrying out early warning index evaluation on each target unit road section according to the first characteristic index and the second characteristic index corresponding to each target unit road section, and feeding back the early warning index to an emergency commander to assist the emergency commander in arranging personnel for dredging and maintaining the road section in the plant station when a dangerous event occurs.
Further, step S100 includes:
step S101: when receiving each emergency material calling request, the power plant supervision platform obtains an optimal emergency material dispatching scheme according to emergency command requirements and emergency material lists required in each emergency material calling request according to material storage conditions of all storehouses in the whole area of the plant station and real-time traffic conditions in the whole area of the plant station, wherein the optimal emergency material dispatching scheme comprises a plurality of first emergency material dispatching routes, and one first emergency material dispatching route corresponds to one optimal emergency material dispatching route for dispatching and distributing at least one emergency material on the emergency material list from one storehouse in the whole area of the plant station; the emergency command requirements comprise transportation requirements based on material preservation and efficiency requirements for dispatching and distribution;
step S102: acquiring a starting position a and a final position b of each first emergency material dispatching route, capturing an optimal emergency material dispatching route with the largest emergency material dispatching times from the starting position a to the final position b based on real-time traffic conditions in the factory station universe when a dangerous event does not occur in the factory station universe by a power plant supervision platform, and setting the optimal emergency material dispatching route as a second emergency material dispatching route of the corresponding first emergency material dispatching route; forming an emergency material dispatching route group by each first emergency material dispatching route and a corresponding second emergency material dispatching route;
step S103: in each emergency material dispatching route group, each intersection contained in each emergency material dispatching route is used as a node for carrying out road section division on the corresponding emergency material dispatching route, wherein road sections formed by two adjacent intersections are set as unit road sections, and a plurality of unit road sections corresponding to the first emergency material dispatching route and a plurality of unit road sections corresponding to the second emergency material dispatching route are respectively obtained in each emergency material dispatching route group;
step S104: in each emergency material dispatching route group, unit road sections covered by the first emergency material dispatching route and the second emergency material dispatching route L at the same time are marked in sequence in the corresponding emergency material dispatching route for each characteristic unit road section.
Further, step S200 includes:
step S201: when a first emergency material dispatching route L in a certain emergency material dispatching route group is provided with a certain untagged unit road section Y, wherein a starting intersection forming the unit road section Y is r1, a finishing intersection is r2, and when a second emergency material dispatching route L 'in the certain emergency material dispatching route group does not contain r1 and r2, and the unit road section Y is the only driving path from r1 to r2 in the whole plant station area, the unit road section Y is removed from the first emergency material dispatching route L to obtain a new first emergency material dispatching route L';
the above-described setting conditions are to find out the unit road sections different from the optimal emergency material dispatch route L', and although it is known from step S102 that only one of the end intersections constituting the unit road sections is different, i.e., different unit road sections, if there is the same intersection between some two unit road sections, it means that the destination end point or destination start point is the same, i.e., it means that the road section has a greater possibility of being a traveling road section taken to intentionally bypass a certain road section; meanwhile, if a certain section, which is distinguished from a unit section in the optimal emergency material scheduling route L', is the only travel choice from the objective path distribution, it means that the unit section is relatively less likely to take an alternative travel section for purposely bypassing the certain unit section;
step S202: comparing the distribution of characteristic unit road sections with a new first emergency material dispatching route L ' and a second emergency material dispatching route L ' in a certain emergency material dispatching route group, when a certain characteristic unit road section J1 and a certain characteristic unit road section J2 which are adjacent to each other exist in the new first emergency material dispatching route L ' and the second emergency material dispatching route L ', respectively capturing the total length Q ' and Q ' of interval road sections between the certain characteristic unit road section J1 and the certain characteristic unit road section J2 in the new first emergency material dispatching route L ' and the second emergency material dispatching route L ', and judging that each unit road section contained in the total length Q ' of interval road section in the second emergency material dispatching route L ' is a target unit road section influenced by a dangerous event if Q ' is met;
the target unit road sections are road sections which are influenced by dangerous case events and cause traffic to appear, namely under the traffic background environment of dangerous case occurrence, each unit road section contained in Q 'replaces each unit road section contained in Q', and the target unit road sections become part of meeting the optimal emergency material scheduling scheme.
Further, step S300 includes:
step S301: all the historical emergency material calling requests received by the power plant supervision platform are called, all first emergency material dispatching routes contained in an optimal emergency material dispatching scheme generated based on the historical emergency material calling requests are respectively captured, and each emergency material dispatching route group corresponding to each historical emergency material calling request is constructed; obtaining target unit road sections extracted from each emergency material scheduling route group respectively;
step S302: the method comprises the steps of setting the number of emergency material scheduling route groups of a certain target unit road section in m emergency material scheduling route groups corresponding to a certain historical emergency material calling request as n, and calculating a first characteristic index alpha 1 = n/m of the certain target unit road section;
step S303: when each historical emergency material calling request is received, acquiring a risk area distribution area S obtained by monitoring the whole area of a plant station where an dangerous event occurs by a power plant supervision platform, acquiring a dangerous event corresponding to each historical emergency material calling request by the power plant supervision platform, accumulating dangerous event duration T from early warning start to early warning end, evaluating a risk influence index beta= (S/Q) x T of the dangerous event corresponding to each historical emergency material calling request, and carrying out request grade division on all the historical emergency material calling requests based on the risk influence index value of the dangerous event corresponding to each historical emergency material calling request;
step S304: and calculating a second characteristic index alpha 2 = f/D of a certain target unit road section, wherein D represents the total number of request grades, and f represents the total number of request grades which can be extracted from all emergency material scheduling route groups containing history emergency material calling requests.
Further, step S400 includes:
step S401: acquiring each target unit road section extracted according to all historical emergency material calling requests, extracting a first characteristic index alpha 1 and a second characteristic index alpha 2 of each target unit road section, and evaluating an early warning index beta=alpha 1+alpha 2 of each target unit road section;
step S402: and identifying all the target unit road sections in the plant station, sequencing the road sections from high to low according to the early warning index beta corresponding to each target unit road section, generating a road section early warning list, and feeding back to the emergency commander.
In order to better realize the method, the invention also provides an intelligent emergency command system, which comprises the following steps: the system comprises an emergency material scheduling route information management module, a target unit road section identification judgment module, a characteristic index calculation module and an auxiliary decision management module;
the emergency material dispatching route information management module is used for capturing each emergency material calling request received by the power plant supervision platform in the process of dangerous case occurrence in the factory station universe, acquiring real-time traffic conditions of the power plant supervision platform based on the dangerous case occurrence and the non-dangerous case occurrence in the factory station universe, responding to the generated emergency material calling request to a plurality of emergency material dispatching route groups, and carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
the target unit road section identification judgment module is used for combing the mark distribution condition presented by the characteristic unit road sections in each emergency material dispatching route group, and judging and identifying the target unit road sections influenced by the dangerous event from each emergency material dispatching route group;
the characteristic index calculation module is used for calculating a first characteristic index for each target unit road section based on characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests; calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur;
the auxiliary decision-making management module is used for carrying out early warning index evaluation on each target unit road section according to the first characteristic index and the second characteristic index corresponding to each target unit road section, feeding back the early warning index to emergency commanders and assisting the emergency commanders in carrying out personnel arrangement for dredging and maintaining the road section in the factory station when a dangerous event occurs.
Further, the emergency material dispatch route information management module comprises a dispatch route information carding unit and a mark processing unit;
the dispatching route information carding unit is used for capturing each emergency material calling request received by the power plant supervision platform in the process of dangerous case occurrence in the factory station universe, and acquiring a plurality of emergency material dispatching route groups generated by the power plant supervision platform in response to each emergency material calling request based on real-time traffic conditions when dangerous case occurrence and non-dangerous case occurrence in the factory station universe;
and the marking processing unit is used for carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group.
Further, the characteristic index calculation module comprises a first characteristic index calculation unit and a second characteristic index calculation unit;
the first characteristic index calculation unit is used for calculating a first characteristic index for each target unit road section based on characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests;
and a second characteristic index calculation unit calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section presented when different dangerous events occur.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the change conditions of the sections selected as a part of the optimal material scheduling route when the corresponding dangerous case event occurs and when the corresponding dangerous case event does not occur in the factory station are analyzed, the sections which are easily affected by the dangerous case event and cause smooth traffic problems are judged and identified, the affected conditions of the sections in the dangerous case events with different degrees are evaluated by the early warning indexes of the sections, the arrangement of personnel for dredging and maintaining the sections in the factory station is assisted when the dangerous case event occurs by emergency commander, and the emergency treatment efficiency of the dangerous case event occurring in the factory station is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic flow chart of an intelligent emergency command method based on artificial intelligence;
fig. 2 is a schematic structural diagram of an intelligent emergency command system based on artificial intelligence.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: an intelligent emergency command method based on artificial intelligence, which comprises the following steps:
step S100: capturing each emergency material calling request received by a power plant supervision platform in the process of dangerous case occurrence in a factory station universe, acquiring real-time traffic conditions of the power plant supervision platform when dangerous cases are occurring and no dangerous cases are occurring in the factory station universe, responding to a plurality of emergency material dispatching route groups generated by each emergency material calling request, and carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
wherein, step S100 includes:
step S101: when receiving each emergency material calling request, the power plant supervision platform obtains an optimal emergency material dispatching scheme according to emergency command requirements and emergency material lists required in each emergency material calling request according to material storage conditions of all storehouses in the whole area of the plant station and real-time traffic conditions in the whole area of the plant station, wherein the optimal emergency material dispatching scheme comprises a plurality of first emergency material dispatching routes, and one first emergency material dispatching route corresponds to one optimal emergency material dispatching route for dispatching and distributing at least one emergency material on the emergency material list from one storehouse in the whole area of the plant station; the emergency command requirements comprise transportation requirements based on material custody and efficiency requirements for dispatching and distribution;
step S102: acquiring a starting position a and a final position b of each first emergency material dispatching route, capturing an optimal emergency material dispatching route with the largest emergency material dispatching times from the starting position a to the final position b based on real-time traffic conditions in the factory station universe when a dangerous event does not occur in the factory station universe by a power plant supervision platform, and setting the optimal emergency material dispatching route as a second emergency material dispatching route of the corresponding first emergency material dispatching route; forming an emergency material dispatching route group by each first emergency material dispatching route and a corresponding second emergency material dispatching route;
step S103: in each emergency material dispatching route group, each intersection contained in each emergency material dispatching route is used as a node for carrying out road section division on the corresponding emergency material dispatching route, wherein road sections formed by two adjacent intersections are set as unit road sections, and a plurality of unit road sections corresponding to the first emergency material dispatching route and a plurality of unit road sections corresponding to the second emergency material dispatching route are respectively obtained in each emergency material dispatching route group;
step S104: in each emergency material dispatching route group, unit road sections covered by the first emergency material dispatching route and the second emergency material dispatching route L at the same time are marked in sequence in the corresponding emergency material dispatching route respectively;
step S200: the marking distribution condition presented by the characteristic unit road sections in each emergency material dispatching route group is combed, and the target unit road sections affected by the dangerous event are judged and identified from each emergency material dispatching route group;
wherein, step S200 includes:
step S201: when a first emergency material dispatching route L in a certain emergency material dispatching route group is provided with a certain untagged unit road section Y, wherein a starting intersection forming the unit road section Y is r1, a finishing intersection is r2, and when a second emergency material dispatching route L 'in the certain emergency material dispatching route group does not contain r1 and r2, and the unit road section Y is the only driving path from r1 to r2 in the whole plant station area, the unit road section Y is removed from the first emergency material dispatching route L to obtain a new first emergency material dispatching route L';
step S202: and comparing the distribution of the characteristic unit road sections with a new first emergency material dispatching route L 'and a second emergency material dispatching route L' in a certain emergency material dispatching route group, when a certain characteristic unit road section J1 and a certain characteristic unit road section J2 which are adjacent to each other exist in the new first emergency material dispatching route L 'and the second emergency material dispatching route L', respectively capturing the total length Q and Q 'of the interval road sections between the certain characteristic unit road section J1 and the certain characteristic unit road section J2 in the new first emergency material dispatching route L' and the second emergency material dispatching route L ', and judging that each unit road section contained in the total length Q' of the interval road section in the second emergency material dispatching route L 'is a target unit road section influenced by a dangerous event if Q' is met.
Step S300: based on each target unit road section, calculating a first characteristic index for each target unit road section according to characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests; calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur;
wherein, step S300 includes:
step S301: all the historical emergency material calling requests received by the power plant supervision platform are called, all first emergency material dispatching routes contained in an optimal emergency material dispatching scheme generated based on the historical emergency material calling requests are respectively captured, and each emergency material dispatching route group corresponding to each historical emergency material calling request is constructed; obtaining target unit road sections extracted from each emergency material scheduling route group respectively;
step S302: the method comprises the steps of setting the number of emergency material scheduling route groups of a certain target unit road section in m emergency material scheduling route groups corresponding to a certain historical emergency material calling request as n, and calculating a first characteristic index alpha 1 = n/m of the certain target unit road section;
step S303: respectively acquiring the distribution area S of a risk area obtained by monitoring the universe of a plant station where dangerous event occurs when a power plant supervision platform receives each historical emergency material calling request, acquiring the accumulated dangerous event duration T from the early warning start to the early warning end of each historical emergency material calling request of the power plant supervision platform, evaluating the risk influence index beta= (S/Q) x T of the dangerous event corresponding to each historical emergency material calling request, and carrying out request grading on all the historical emergency material calling requests based on the risk influence index value of the dangerous event corresponding to each historical emergency material calling request
For example, classifying all historical emergency material call requests initiated in dangerous events with risk impact index beta in the range of 4.5-7.5 into first-level requests; classifying all historical emergency material calling requests initiated in dangerous events with the risk impact index beta in the range of 7.6-10.6 into second-level requests; classifying all historical emergency material calling requests initiated in dangerous events with the risk impact index beta in the range of 10.7-13.7 into third-level requests;
step S304: calculating a second characteristic index alpha 2 = f/D of a certain target unit road section, wherein D represents the total number of request grades, and f represents the total number of request grades which can be extracted from all emergency material scheduling route groups containing history emergency material calling requests;
for example, the first level request includes a history emergency material calling request 1, a history emergency material calling request 2, and a history emergency material calling request 3, and a certain target unit road section can be extracted from an emergency material scheduling route group corresponding to the history emergency material calling request 1;
the second level request comprises a history emergency material calling request 4, a history emergency material calling request 6 and a history emergency material calling request 8, and a certain target unit road section can be extracted from an emergency material scheduling route group corresponding to the history emergency material calling request 4;
the third-level request comprises a history emergency material calling request 5, a history emergency material calling request 7 and a history emergency material calling request 9, and a certain target unit road section cannot be extracted from emergency material dispatching route groups corresponding to the history emergency material calling request 5, the history emergency material calling request 7 and the history emergency material calling request 9;
in summary, the second characteristic index α2=f/d=2/3 for a certain target unit road segment;
step S400: according to the first characteristic index and the second characteristic index corresponding to each target unit road section, carrying out early warning index evaluation on each target unit road section, and feeding back the early warning index to an emergency commander to assist the emergency commander in carrying out personnel arrangement for dredging and maintaining road sections in the factory station when a dangerous event occurs;
wherein, step S400 includes:
step S401: acquiring each target unit road section extracted according to all historical emergency material calling requests, extracting a first characteristic index alpha 1 and a second characteristic index alpha 2 of each target unit road section, and evaluating an early warning index beta=alpha 1+alpha 2 of each target unit road section;
step S402: and identifying all the target unit road sections in the plant station, sequencing the road sections from high to low according to the early warning index beta corresponding to each target unit road section, generating a road section early warning list, and feeding back to the emergency commander.
In order to better realize the method, the invention also provides an intelligent emergency command system, which comprises the following steps: the system comprises an emergency material scheduling route information management module, a target unit road section identification judgment module, a characteristic index calculation module and an auxiliary decision management module;
the emergency material dispatching route information management module is used for capturing each emergency material calling request received by the power plant supervision platform in the process of dangerous case occurrence in the factory station universe, acquiring real-time traffic conditions of the power plant supervision platform based on the dangerous case occurrence and the non-dangerous case occurrence in the factory station universe, responding to the generated emergency material calling request to a plurality of emergency material dispatching route groups, and carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
the emergency material scheduling route information management module comprises a scheduling route information carding unit and a mark processing unit;
the dispatching route information carding unit is used for capturing each emergency material calling request received by the power plant supervision platform in the process of dangerous case occurrence in the factory station universe, and acquiring a plurality of emergency material dispatching route groups generated by the power plant supervision platform in response to each emergency material calling request based on real-time traffic conditions when dangerous case occurrence and non-dangerous case occurrence in the factory station universe;
the marking processing unit is used for carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
the target unit road section identification judgment module is used for combing the mark distribution condition presented by the characteristic unit road sections in each emergency material dispatching route group, and judging and identifying the target unit road sections influenced by the dangerous event from each emergency material dispatching route group;
the characteristic index calculation module is used for calculating a first characteristic index for each target unit road section based on characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests; calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur;
the characteristic index calculation module comprises a first characteristic index calculation unit and a second characteristic index calculation unit;
the first characteristic index calculation unit is used for calculating a first characteristic index for each target unit road section based on characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests;
a second characteristic index calculation unit that calculates a second characteristic index for each target unit road section based on characteristic distribution conditions that each target unit road section presents when different dangerous events occur;
the auxiliary decision-making management module is used for carrying out early warning index evaluation on each target unit road section according to the first characteristic index and the second characteristic index corresponding to each target unit road section, feeding back the early warning index to emergency commanders and assisting the emergency commanders in carrying out personnel arrangement for dredging and maintaining the road section in the factory station when a dangerous event occurs.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. An artificial intelligence based intelligent emergency command method is characterized by comprising the following steps:
step S100: capturing each emergency material calling request received by a power plant supervision platform in the process of dangerous case occurrence in a factory station universe, acquiring real-time traffic conditions of the power plant supervision platform when dangerous cases are occurring and no dangerous cases are occurring in the factory station universe, responding to a plurality of emergency material dispatching route groups generated by each emergency material calling request, and carrying out information combing of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
step S200: the marking distribution condition presented by the characteristic unit road sections in each emergency material dispatching route group is combed, and the target unit road sections affected by the dangerous event are judged and identified from each emergency material dispatching route group;
step S300: based on each target unit road section, calculating a first characteristic index for each target unit road section according to characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests; calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur;
step S400: and carrying out early warning index evaluation on each target unit road section according to the first characteristic index and the second characteristic index corresponding to each target unit road section, and feeding back the early warning index to an emergency commander to assist the emergency commander in arranging personnel for dredging and maintaining the road section in the plant station when a dangerous event occurs.
2. The intelligent emergency command method based on artificial intelligence according to claim 1, wherein the step S100 comprises:
step S101: when receiving each emergency material calling request, acquiring an optimal emergency material scheduling scheme generated by a power plant supervision platform according to emergency command requirements and an emergency material list required by each emergency material calling request according to material storage conditions of all storehouses in the whole area of a plant station and real-time traffic conditions in the whole area of the plant station, wherein the optimal emergency material scheduling scheme comprises a plurality of first emergency material scheduling routes, and one first emergency material scheduling route corresponds to one optimal emergency material scheduling route for completing scheduling and distribution of at least one emergency material on the emergency material list from one storehouse in the whole area of the plant station;
step S102: acquiring a starting position a and a final position b of each first emergency material dispatching route, capturing an optimal emergency material dispatching route with the largest emergency material dispatching times from the starting position a to the final position b based on real-time traffic conditions in the factory station universe when a dangerous event does not occur in the factory station universe by a power plant supervision platform, and setting the optimal emergency material dispatching route as a second emergency material dispatching route of the corresponding first emergency material dispatching route; forming an emergency material dispatching route group by each first emergency material dispatching route and a corresponding second emergency material dispatching route;
step S103: in each emergency material dispatching route group, each intersection contained in each emergency material dispatching route is used as a node for carrying out road section division on the corresponding emergency material dispatching route, wherein road sections formed by two adjacent intersections are set as unit road sections, and a plurality of unit road sections corresponding to the first emergency material dispatching route and a plurality of unit road sections corresponding to the second emergency material dispatching route are respectively obtained in each emergency material dispatching route group;
step S104: in each emergency material dispatching route group, unit road sections covered by the first emergency material dispatching route and the second emergency material dispatching route L at the same time are marked in sequence in the corresponding emergency material dispatching route for each characteristic unit road section.
3. The intelligent emergency command method based on artificial intelligence according to claim 2, wherein the step S200 comprises:
step S201: when a first emergency material dispatching route L in a certain emergency material dispatching route group is provided with a certain untagged unit road section Y, wherein a starting intersection forming the unit road section Y is r1, a finishing intersection is r2, and when a second emergency material dispatching route L 'in the certain emergency material dispatching route group does not contain r1 and r2, and the unit road section Y is the only driving route from r1 to r2 in the whole plant area, the unit road section Y is removed from the first emergency material dispatching route L to obtain a new first emergency material dispatching route L';
step S202: and comparing the distribution of the characteristic unit road sections with a new first emergency material dispatching route L 'and a second emergency material dispatching route L' in a certain emergency material dispatching route group, when a certain characteristic unit road section J1 and a certain characteristic unit road section J2 which are adjacent to each other exist in the new first emergency material dispatching route L 'and the second emergency material dispatching route L', respectively capturing the total length Q and Q 'of the interval road sections between the certain characteristic unit road section J1 and the certain characteristic unit road section J2 in the new first emergency material dispatching route L' and the second emergency material dispatching route L ', and judging that each unit road section contained in the total length Q' of the interval road section in the second emergency material dispatching route L 'is a target unit road section influenced by a dangerous event if Q' is met.
4. The intelligent emergency command method based on artificial intelligence according to claim 3, wherein the step S300 comprises:
step S301: all the historical emergency material calling requests received by the power plant supervision platform are called, all first emergency material dispatching routes contained in an optimal emergency material dispatching scheme generated based on the historical emergency material calling requests are respectively captured, and each emergency material dispatching route group corresponding to each historical emergency material calling request is constructed; obtaining target unit road sections extracted from each emergency material scheduling route group respectively;
step S302: the method comprises the steps of setting the number of emergency material scheduling route groups of a certain target unit road section in m emergency material scheduling route groups corresponding to a certain historical emergency material calling request as n, and calculating a first characteristic index alpha 1 = n/m of the certain target unit road section;
step S303: when each historical emergency material calling request is received, acquiring a risk area distribution area S obtained by monitoring the whole area of a plant station where an dangerous event occurs by a power plant supervision platform, acquiring a dangerous event corresponding to each historical emergency material calling request by the power plant supervision platform, accumulating dangerous event duration T from early warning start to early warning end, evaluating a risk influence index beta= (S/Q) x T of the dangerous event corresponding to each historical emergency material calling request, and carrying out request grade division on all the historical emergency material calling requests based on the risk influence index value of the dangerous event corresponding to each historical emergency material calling request;
step S304: and calculating a second characteristic index alpha 2 = f/D of the certain target unit road section, wherein D represents the total number of request grades, and f represents the total number of request grades which can be extracted from the emergency material scheduling route group of all the included historical emergency material calling requests.
5. The intelligent emergency command method based on artificial intelligence according to claim 4, wherein the step S400 comprises:
step S401: acquiring each target unit road section extracted according to all historical emergency material calling requests, extracting a first characteristic index alpha 1 and a second characteristic index alpha 2 of each target unit road section, and evaluating an early warning index beta=alpha 1+alpha 2 of each target unit road section;
step S402: and identifying all the target unit road sections in the plant station, sequencing the road sections from high to low according to the early warning index beta corresponding to each target unit road section, generating a road section early warning list, and feeding back to the emergency commander.
6. A smart emergency command system for performing an artificial intelligence based smart emergency command method as claimed in any one of claims 1 to 5, said system comprising: the system comprises an emergency material scheduling route information management module, a target unit road section identification judgment module, a characteristic index calculation module and an auxiliary decision management module;
the emergency material dispatching route information management module is used for capturing each emergency material dispatching request received by the power plant supervision platform in the process of dangerous case occurrence in the factory station universe, acquiring real-time traffic conditions of the power plant supervision platform based on the dangerous case occurrence and the non-dangerous case occurrence in the factory station universe, responding to the each emergency material dispatching route requests to generate a plurality of emergency material dispatching route groups, and carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group;
the target unit road section identification judgment module is used for combing the mark distribution condition presented by the characteristic unit road sections in each emergency material dispatching route group, and judging and identifying the target unit road sections influenced by the dangerous event from each emergency material dispatching route group;
the characteristic index calculation module is used for calculating a first characteristic index for each target unit road section based on characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests; calculating a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur;
the auxiliary decision management module is used for carrying out early warning index evaluation on each target unit road section according to the first characteristic index and the second characteristic index corresponding to each target unit road section, feeding back the early warning index to emergency commanders and assisting the emergency commanders in carrying out personnel arrangement of dredging and maintaining the road section in the factory station when a dangerous event occurs.
7. The intelligent emergency command system according to claim 6, wherein the emergency material dispatch route information management module comprises a dispatch route information carding unit and a mark processing unit;
the dispatching route information carding unit is used for capturing each emergency material calling request received by the power plant supervision platform in the process of dangerous case occurrence in the factory station universe, acquiring real-time traffic conditions of the power plant supervision platform based on the dangerous case occurrence and the non-dangerous case occurrence in the factory station universe, and responding to the each emergency material calling request to generate a plurality of emergency material dispatching route groups;
and the marking processing unit is used for carrying out information carding of unit road sections and marking processing of characteristic unit road sections on each emergency material dispatching route group.
8. The intelligent emergency command system according to claim 6, wherein the characteristic index calculation module comprises a first characteristic index calculation unit and a second characteristic index calculation unit;
the first characteristic index calculation unit is used for calculating a first characteristic index for each target unit road section based on characteristic distribution conditions presented in a plurality of emergency material scheduling route groups generated by responding to corresponding emergency material calling requests;
the second characteristic index calculation unit calculates a second characteristic index for each target unit road section based on characteristic distribution conditions of each target unit road section when different dangerous events occur.
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