CN104036127A - Plan based computer-assisted emergency system and method - Google Patents

Abstract

The invention starts from the digital expression and storage of the emergency disposal flow, namely the core of the plan operation, transforms emergency plans of multiple single emergencies into a form capable of being recognized and computed by a computer, creates a computer online emergency flow reconstruction technique, rapidly generates a comprehensive emergency disposal flow for various kinds of concurrent emergencies, and respectively provides a plan-based computer-assisted emergency system and method, wherein the system and method are based on a device, so that the real-time efficient decision support is provided for the emergency disposal under the complex varied conditions.

Description

Area of computer aided emergency system and method based on prediction scheme

Technical field

The present invention relates to a kind of area of computer aided emergency system and method based on prediction scheme, more particularly, relate to a kind of emergency preplan reconfiguration system and method.

Background technology

The generation of accident be conventionally difficult to prediction and destructiveness larger, the harm that human society is caused is startling often, this is the Sudden Natural Disasters such as existing earthquake, volcanic explosion, rubble flow, tsunami, typhoon, flood wherein, also the sudden accident disaster that has the mankind's activities such as pollutant leakage, water pollution, soil pollution to cause, and relate to public safety and sanitarian accident has also accounted for sizable proportion.In recent years, global various types of vital emergent events take place frequently, and have caused the extensive concern from various circles of society.

Aspect lifting contingency management ability, emergency preplan is one of the most important and effective instrument.Cannot resist and eliminate potential threat and the reality of major natural disasters completely destroys due to the mankind, but the generation of accident and differentiation often have very large uncertainty, there is evolution and have multiple possibility in it, for this feature of accident, people can only be based on reducing as far as possible the loss that accident brings within one's power, not only want at ordinary times active prevention, also will be when accident also occur, pre-establishing accident is emergency preplan once the counte-rplan that occur, could in the process of solution of emergent event, precautions averts perils, provide for a rainy day.Therefore emergency preplan has a very important role in contingency management, is the important component part of emergency rescue system.

Before be mainly also from for the contingent sight of an accident complete as far as possible emergency preplan prepared in advance for the research of emergency preplan establishment, but because the judgement that sight may occur accident is often based on experience and knowledge reasoning, and editing methods mainly relies on manually prepared in advance, the prediction scheme of working out under this thinking obviously cannot meet the actual emergency disposal demand of complicated accident development and change, therefore, prediction scheme establishment need to be taked more flexible, effective means, i.e. the method for prediction scheme reconstruct realizes dynamically online generation of prediction scheme.

Generating fast in the problem of new prediction scheme, Research Literature is less at present, " Using Formal MS/OR Modeling to Support Disaster Recovery Planning[J] .European Journal of Operational Research.2002, 141 (3): 679-688 " in, Kweku-Muata (Noel) Bryson etc. has set up one-zero programming model, meeting under resource constraint, affect as target to maximize elimination disaster, recover prediction scheme (Disaster Recovery Plan to forming disaster, DRP) the sub-prediction scheme in is selected, but the prediction scheme of its generation is only the set of sub-prediction scheme, do not relate to the logical relation problem between sub-prediction scheme." Systems modeling in support of evidence-based disaster planning for rural areas[J] .International Journal of Hygiene and Environmental Health; 2005; 208 (1-2): 117-125 " in, Marna Hoarda etc. adopt system dynamics methods analyst affect accident emergency preplan work out various factors, and studied the scene that may occur by the form of computer simulation, formulate counte-rplan according to the type of accident and menace level.The people such as domestic pond grand (2003) think that the development of accident and disposal process are in fact the processes of a dynamic game, " dynamic game network technology " problem is that research project is in progression, network technology under contents of a project dynamic change, is included in the subject matter such as management, most optimum distribution of resources of the chaining key under dynamic network.Therefore people definitely can not indiscriminately imitate completely in the time choosing and carry out prediction scheme.On the basis of the researchs such as Chi Hong, Yao Jie etc. " Dynamic Game [J] in accident contingency management. Management Review; 2004,17 (3): 46-50 " in use dynamic game network technology, set forth the decision problem of establishment and the execution of prediction scheme.

In addition, because emergency operation prediction scheme and guiding prediction scheme belong to emergency preplan category, therefore its main contents can be expressed as emergency disposal action according to the logical relation workflow of combination in order, and domestic also have some scholars to explore for emergency disposal flow process.Qi Mingliang etc. " A study on the method for constituting an operable emergency plan[C]; Proceedings of The 3rd International Conference on Management and Service Science; Beijing; China. " in plan Network Based set up and can operate prediction scheme preparation method, logical relation between logical relation and the disposing task that has comprised event self-growth according to the operation prediction scheme of the method establishment, expresses a kind of feasible thinking is provided for the non-textization of prediction scheme simultaneously.Liu Lei etc. " reconstruction in program management research [C]. the international contingency management forum of Si Jie and the 5th annual meeting of contingency management Professional Committee of China's (two method) (ISEM ' 09); Beijing; China " in prediction scheme is being expressed as on the basis of network planning figure, set up the module that existing prediction scheme is decomposed into multiple functional independences, then according to the emergent demand of accident developing stage, the principle of mating with demand according to function is again by module built, thereby form the thinking of new prediction scheme, and fail to provide the specific algorithm how module reconfigures.

Summary of the invention

The present invention from operation prediction scheme core---digital expression and the storage of emergency disposal flow process are started with, multiple emergency preplans for single accident are converted into the form that is beneficial to computing machine identification and calculates, set up the online emergent flow process reconfiguration technique of computing machine, generate fast the comprehensive emergency disposal flow process for the concurrent accident of multiclass, for the accident emergency disposal under situation complicated and changeable provides the decision support of real-time high-efficiency.

According to an embodiment of the invention, disclose a kind of area of computer aided emergency system based on prediction scheme, having comprised: acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement have been determined subsystem, unit prediction scheme chooser system, prediction scheme reconstruction subsystem and prediction scheme executive subsystem; Wherein

Data acquisition subsystem, comprises

(1) distributed sensor, monitors and receives the report of various accidents, and form information reporting list, and deposit information reporting list in first memory,

(2) first transmitters, are sent to sight process analysis procedure analysis subsystem by type of emergency event, and by information reporting single upload to central memory;

Sight process analysis procedure analysis subsystem, comprises

(1) first receiver, receives the type of emergency event that data acquisition subsystem sends

(2) the matching analysis processor, the type of emergency event sending according to the data acquisition subsystem receiving, download pre-stored accident mapping table from central memory, according to above-mentioned mapping table, analyze the possible sight process of various accidents, form sight process analysis procedure analysis table, deposit second memory in

(3) second transmitters, are sent to functional requirement by sight process analysis procedure analysis table and determine subsystem, and sight process analysis procedure analysis table is uploaded to central memory;

Functional requirement is determined subsystem, comprises

(1) second receiver, receives the sight process that sight process analysis procedure analysis subsystem sends,

(2) functional requirement analyzer, determines functional requirement corresponding to various sight processes, and forms functional requirement table, deposits the 3rd storer in,

(3) the 3rd transmitters, are sent to unit prediction scheme chooser system by functional requirement table, and functional requirement table are uploaded to central memory;

Unit prediction scheme chooser system, comprises

(1) the 3rd receiver, the functional requirement that receiving function Location of requirement subsystem sends,

(2) selection analysis device, according to above-mentioned functions demand selected cell prediction scheme, and forming unit prediction scheme attribute list and unit prediction scheme ordinal relation table, deposit the 4th storer in,

(3) the 4th transmitters, are uploaded to central memory by unit prediction scheme attribute list and unit prediction scheme ordinal relation table;

Prediction scheme reconstruction subsystem, comprises

(1) central memory, storage data acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement are determined information reporting list, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and the unit prediction scheme ordinal relation table that subsystem, unit prediction scheme chooser system are uploaded respectively

(2) restructuring analysis device, call central memory canned data report, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table, by the restructing operation of unit prediction scheme, generate the reconstruct prediction scheme of corresponding possibility sight

(3) the 5th transmitters, are sent to prediction scheme executive subsystem by reconstruct prediction scheme;

Prediction scheme executive subsystem, carries out the reconstruct prediction scheme being generated by prediction scheme reconfiguration unit.

According to an embodiment of the invention, in the described area of computer aided emergency system based on prediction scheme, the restructuring analysis device in described prediction scheme reconstruction subsystem comprises:

The first matching initial unit, it mates the data item in information reporting list " event type " with the data item " event type " in sight process analysis procedure analysis table, and according to data item " the sight ID in sight process analysis procedure analysis table ", to S _icarry out initialization, and will participate in the S of reconstruct sight process _igive S _a, S _b, wherein for k the sight of sight process i, a _ifor the sight number of sight process i, S _a, S _brepresent respectively to participate in reconstruct two sight processes;

The second initialization unit, according to the data item in sight process analysis procedure analysis table " time point identification ID " value, to T _icarry out initialization, k=1,2 ..., a _i, and will participate in the T of reconstruct sight process _igive respectively T _a, T _b, wherein for the time point identification of k sight of sight process i, t _a, T _brepresent to participate in respectively the time point identification sets of reconstruct two sight processes;

The 3rd matching initial unit, mates the data item in functional requirement table " functional requirement ID " with the data item " function " in unit prediction scheme attribute list, according to the data item in unit prediction scheme attribute list " unit prediction scheme ID ", initialization sight required unit prediction scheme collection W _i ^k, k=1,2 ..., a _i, W _i ^kmiddle element is arranged according to unit prediction scheme ID ascending order, wherein for j unit prediction scheme of k sight of sight process i, k=1,2 ..., a _i;

The 4th initialization unit, the bonding relation matrix of initialization sight process i and reconstruct sight process will be participated in give respectively R ^a, R ^b, wherein R ^a, R ^brepresent to participate in respectively the bonding relation matrix of reconstruct two sight processes;

Determining unit, determines reconstruct position collection T, T=T _a∩ T _b, T _a, T _bfor participating in the time point mark set of two sight processes of reconstruct, wherein T=XSECT (T _a, T _b);

Judging unit, judges the position of reconstruct position on bonding relation diagonal of a matrix, wherein, and N _a, N _bdeposit respectively the reconstruct position that participates in reconstruct two sight processes, the position on bonding relation diagonal of a matrix separately;

Tectonic element, constructs the bonding relation matrix in adjacent reconstruct position wherein represent to participate in respectively the adjacent reconstruct position inside lap relational matrix of reconstruct two sight processes, y=1,2 ..., n _t, n _tfor the element number of set T;

Merge cells, according to the sight of reconstruct position is merged or generates branch node;

The first generation unit, generates the prediction scheme node set J ' and the bonding relation matrix R ' that tackle possibility sight;

The second generation unit, the tight front nodal point of the reconstruct position to C (y)=1 judges, if same unit prediction scheme merges; The tight front nodal point that again this is merged to point judges, if same unit prediction scheme, continue to merge, until be different units prediction scheme, stop, generate the node set J of prediction scheme and the module of bonding relation matrix R of reply possibility sight, wherein R is prediction scheme bonding relation matrix after merging, and J is the rear prediction scheme node set of merging.

According to an embodiment of the invention, wherein acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement determine that subsystem, unit prediction scheme chooser system and prediction scheme reconstruction subsystem are distributed system, between each subsystem, connect by remote-wireless communication mode.

According to an embodiment of the invention, described remote-wireless communication mode can be GSM, the one in CDMA.

According to an embodiment of the invention, wherein acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement determine that subsystem, unit prediction scheme chooser system and prediction scheme reconstruction subsystem are distributed system, between each subsystem, connect by short-distance wireless communication mode.

According to an embodiment of the invention, described short-distance wireless communication mode can be WIFI, bluetooth, the one in NFC.

According to another implementation of the invention, disclose a kind of area of computer aided emergency method based on prediction scheme, described method comprises the steps:

Data acquisition, monitors and receives the report of various accidents, and by the report writing information report receiving, storage information reporting list, sends type of emergency event, and by information reporting single upload to central memory;

Sight process analysis procedure analysis, receive the type of emergency event of above-mentioned transmission, according to the type of emergency event receiving, download pre-stored accident mapping table from central memory, according to above-mentioned mapping table, analyze the possible sight process of various accidents, form sight process analysis procedure analysis table, store this sight process analysis procedure analysis table, send sight process analysis procedure analysis table, and sight process analysis procedure analysis table is uploaded to central memory;

Determine functional requirement, receive the sight process of above-mentioned transmission, determine functional requirement corresponding to various sight processes, and form functional requirement table, deposit this functional requirement table in, send this functional requirement table, and functional requirement table is uploaded to central memory; ;

Unit prediction scheme is selected, receive the functional requirement of above-mentioned transmission, according to above-mentioned functions demand selected cell prediction scheme, form and storage unit prediction scheme attribute list and unit prediction scheme ordinal relation table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table are uploaded to central memory;

Prediction scheme reconstruct, according to the logical relation of the unit prediction scheme of above-mentioned selection, call canned data report, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table, by the restructing operation of unit prediction scheme, generate the reconstruct prediction scheme of corresponding possibility sight.

Prediction scheme is carried out, and carries out the reconstruct prediction scheme being generated by prediction scheme reconstruct.

According to another implementation of the invention, the described area of computer aided emergency method based on prediction scheme, wherein said prediction scheme reconstruct comprises step:

Step1: it mates the data item in information reporting list " event type " with the data item " event type " in sight process analysis procedure analysis table, and according to data item " the sight ID in sight process analysis procedure analysis table ", to S _icarry out initialization, and will participate in the S of reconstruct sight process _igive S _a, S _b, wherein for k the sight of sight process i, a _ifor the sight number of sight process i, S _a, S _brepresent respectively to participate in reconstruct two sight processes;

Step2: according to the data item in sight process analysis procedure analysis table " time point identification ID " value, to T _icarry out initialization, k=1,2 ..., a _i, and will participate in the T of reconstruct sight process _igive respectively T _a, T _b, wherein for the time point identification of k sight of sight process i, t _a, T _brepresent to participate in respectively the time point identification sets of reconstruct two sight processes;

Step3: the data item in functional requirement table " functional requirement ID " is mated with the data item " function " in unit prediction scheme attribute list, according to the data item in unit prediction scheme attribute list " unit prediction scheme ID ", initialization sight required unit prediction scheme collection W _i ^k, k=1,2 ..., a _i, W _i ^kmiddle element is arranged according to unit prediction scheme ID ascending order, wherein for j unit prediction scheme of k sight of sight process i, k=1,2 ..., a _i;

Step4: the bonding relation matrix of initialization sight process i and reconstruct sight process will be participated in give respectively R ^a, R ^b, wherein R ^a, R ^brepresent to participate in respectively the bonding relation matrix of reconstruct two sight processes; the initial method of diagonal entry as follows:

$R^i=\left(\mathrm{1,1}\right)=t\left(S_i^1\right);$

$R^i\left(\mathrm{2,2}\right)={W_i}^1\left(1\right);$

$R^i\left(\mathrm{3,3}\right)={W_i}^1\left(2\right);$

.

.

.

$R^i(1+b_i^1,1+b_i^1)={W_i}^1\left(b_i^1\right);$

$R^i(2+b_i^1,2+b_i^1)=t\left(s_i^2\right);$

$R^i(3+b_i^1,3+b_i^1)={W_i}^2\left(1\right);$

.

.

.

$R^i(n_i,n_i)=t\left(s_i^{a_i}\right),$ Due to $b_i^{a_i}=0;$

off diagonal element, carry out initialization according to " unit prediction scheme order relation table " by following rule;

Step5: determine reconstruct position collection T, T=T _a∩ T _b, T _a, T _bfor participating in the time point mark set of two sight processes of reconstruct, wherein T=XSECT (T _a, T _b);

Step6: judge the position of reconstruct position on bonding relation diagonal of a matrix, wherein, N _a, N _bdeposit respectively the reconstruct position that participates in reconstruct two sight processes, the position on bonding relation diagonal of a matrix separately;

Step7: construct the bonding relation matrix in adjacent reconstruct position wherein represent to participate in respectively the adjacent reconstruct position inside lap relational matrix of reconstruct two sight processes, y=1,2 ..., n _t, n _tfor the element number of set T;

Step8: according to the sight of reconstruct position is merged or generates branch node;

Step9: the prediction scheme node set J ' and the bonding relation matrix R ' that generate reply possibility sight;

Step10: the tight front nodal point of the reconstruct position to C (y)=1 judges, if same unit prediction scheme merges; The tight front nodal point that again this is merged to point judges, if same unit prediction scheme, continue to merge, until be different units prediction scheme, stop, generate the node set J of prediction scheme and the module of bonding relation matrix R of reply possibility sight, wherein R is prediction scheme bonding relation matrix after merging, and J is the rear prediction scheme node set of merging.

Last according to the node set J calculating in prediction scheme restructuring procedure and bonding relation matrix, select corresponding prediction scheme to carry out.

Brief description of the drawings

Accompanying drawing 1 is according to the area of computer aided emergency system block diagram based on prediction scheme of the present invention;

Accompanying drawing 2 is the prediction scheme reconfiguration unit block diagrams according to the area of computer aided emergency system based on prediction scheme of the present invention;

Accompanying drawing 3 is according to the area of computer aided emergency method process flow diagram based on prediction scheme of the present invention;

Accompanying drawing 4 is the prediction scheme reconstruct process flow diagrams according to the area of computer aided emergency method based on prediction scheme of the present invention;

Accompanying drawing 5 is to occur have personnel, the stranded sight process of livestock S after severe snow the condition of a disaster according to somewhere of the present invention ₁disposal process figure;

Accompanying drawing 6 is to occur after severe snow the condition of a disaster without personnel, the stranded sight process of livestock S according to somewhere of the present invention ₂disposal process figure; .

Accompanying drawing 7 is according to sight process S after somewhere generation severe snow the condition of a disaster of the present invention ₁and S ₂reconstruction result schematic diagram;

Accompanying drawing 8 is to cause after gas leak not breaking out of fire sight process S according to certain city according to the present invention earthquake ₁disposal process figure;

Accompanying drawing 9 is according to breaking out of fire sight process S after certain city's earthquake initiation gas leak according to the present invention ₂disposal process figure; .

Accompanying drawing 10 is that certain city's earthquake according to the present invention causes gas leak sight process S ₁and S ₂reconstruction result schematic diagram;

Embodiment:

Below in conjunction with drawings and Examples, the specific embodiment of the present invention is described in further detail.Following examples are used for illustrating the present invention, but are not used for limiting the scope of the invention.

It is that example is illustrated that the earthquake of Yi Mou city causes gas leak sight process reengineering.

Data basis

With reference to accompanying drawing 1, the described area of computer aided emergency system based on prediction scheme, comprising: acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement are determined subsystem, unit prediction scheme chooser system, prediction scheme reconstruction subsystem and prediction scheme executive subsystem; Wherein

Data acquisition subsystem, comprises

Distributed sensor, monitors and receives the report of various accidents, and form information reporting list, and deposit information reporting list in first memory,

The first transmitter, is sent to sight process analysis procedure analysis subsystem by type of emergency event, and by information reporting single upload to central memory;

Described distributed sensor can be to be positioned at each operational outfit, as watch-dog in the vehicles of accident may occur aircraft and ship etc.

Sight process analysis procedure analysis subsystem, comprises

The first receiver, receives the type of emergency event that data acquisition subsystem sends

The matching analysis processor, the type of emergency event sending according to the data acquisition subsystem receiving, download pre-stored accident mapping table from central memory, according to above-mentioned mapping table, analyze the possible sight process of various accidents, form sight process analysis procedure analysis table, deposit second memory in

The second transmitter, is sent to functional requirement by sight process analysis procedure analysis table and determines subsystem, and sight process analysis procedure analysis table is uploaded to central memory;

Described the first receiver and the second transmitter can adopt the form of transceiver to realize.

Functional requirement is determined subsystem, comprises

The second receiver, receives the sight process that sight process analysis procedure analysis subsystem sends,

Functional requirement analyzer, determines functional requirement corresponding to various sight processes, and forms functional requirement table, deposits the 3rd storer in,

The 3rd transmitter, is sent to unit prediction scheme chooser system by functional requirement table, and functional requirement table is uploaded to central memory;

Described the second receiver and the 3rd transmitter can adopt the form of transceiver to realize.

Unit prediction scheme chooser system, comprises

The 3rd receiver, the functional requirement that receiving function Location of requirement subsystem sends,

Selection analysis device, according to above-mentioned functions demand selected cell prediction scheme, and forming unit prediction scheme attribute list and unit prediction scheme ordinal relation table, deposit the 4th storer in,

The 4th transmitter, is uploaded to central memory by unit prediction scheme attribute list and unit prediction scheme ordinal relation table;

Described the 3rd receiver and the 4th transmitter can adopt the form of transceiver to realize.

Prediction scheme reconstruction subsystem, comprises

Central memory, storage data acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement are determined information reporting list, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and the unit prediction scheme ordinal relation table that subsystem, unit prediction scheme chooser system are uploaded respectively

Restructuring analysis device, calls central memory canned data report, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table, by the restructing operation of unit prediction scheme, generates the reconstruct prediction scheme of corresponding possibility sight,

The 5th transmitter, is sent to prediction scheme executive subsystem by reconstruct prediction scheme;

Prediction scheme executive subsystem, carries out the reconstruct prediction scheme being generated by prediction scheme reconfiguration unit.

Wherein, above-mentioned restructuring analysis device can comprise unit as shown in Figure 2, that is:

The first matching initial unit, it mates the data item in information reporting list " event type " with the data item " event type " in sight process analysis procedure analysis table, and according to data item " the sight ID in sight process analysis procedure analysis table ", to S _icarry out initialization, and will participate in the S of reconstruct sight process _igive S _a, S _b, wherein for k the sight of sight process i, a _ifor the sight number of sight process i, S _a, S _brepresent respectively to participate in reconstruct two sight processes;

The second initialization unit, according to the data item in sight process analysis procedure analysis table " time point identification ID ( ) " value, to T _icarry out initialization, k=1,2 ..., a _i, and will participate in the T of reconstruct sight process _igive respectively T _a, T _b, wherein for the time point identification of k sight of sight process i, t _a, T _brepresent to participate in respectively the time point identification sets of reconstruct two sight processes;

The 3rd matching initial unit, mates the data item in functional requirement table " functional requirement ID " with the data item " function " in unit prediction scheme attribute list, according to the data item in unit prediction scheme attribute list " unit prediction scheme ID ", initialization sight required unit prediction scheme collection W _i ^k, k=1,2 ..., a _i, W _i ^kmiddle element is arranged according to unit prediction scheme ID ascending order, wherein for j unit prediction scheme of k sight of sight process i, k=1,2 ..., a _i;

The 4th initialization unit, the bonding relation matrix of initialization sight process i and reconstruct sight process will be participated in give respectively R ^a, R ^b, wherein R ^a, R ^brepresent to participate in respectively the bonding relation matrix of reconstruct two sight processes;

Determining unit, determines reconstruct position collection T, T=T _a∩ T _b, T _a, T _bfor participating in the time point mark set of two sight processes of reconstruct, wherein T=XSECT (T _a, T _b);

Judging unit, judges the position of reconstruct position on bonding relation diagonal of a matrix, wherein, and N _a, N _bdeposit respectively the reconstruct position that participates in reconstruct two sight processes, the position on bonding relation diagonal of a matrix separately;

Tectonic element, constructs the bonding relation matrix in adjacent reconstruct position wherein represent to participate in respectively the adjacent reconstruct position inside lap relational matrix of reconstruct two sight processes, y=1,2 ..., n _t, n _tfor the element number of set T;

Merge cells, according to the sight of reconstruct position is merged or generates branch node;

The first generation unit, generates the prediction scheme node set J ' and the bonding relation matrix R ' that tackle possibility sight;

The second generation unit, the tight front nodal point of the reconstruct position to C (y)=1 judges, if same unit prediction scheme merges; The tight front nodal point that again this is merged to point judges, if same unit prediction scheme, continue to merge, until be different units prediction scheme, stop, generate the node set J of prediction scheme and the module of bonding relation matrix R of reply possibility sight, wherein R is prediction scheme bonding relation matrix after merging, and J is the rear prediction scheme node set of merging.

In addition, in reality is implemented, acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement determine that subsystem, unit prediction scheme chooser system and prediction scheme reconstruction subsystem are distributed system, between each subsystem, connect by remote-wireless communication mode, described remote-wireless communication mode can be GSM, the one in CDMA; Interchangeable, between each subsystem, also can connect by short-distance wireless communication mode, described short-distance wireless communication mode can be WIFI, bluetooth, the one in NFC.

Wherein above-mentioned generated data list form is as follows:

Data acquisition subsystem

1) information reporting list

Sight process analysis procedure analysis subsystem

2) sight process analysis procedure analysis table

Functional requirement is determined subsystem

3) functional requirement table

Unit prediction scheme chooser system

4) unit prediction scheme attribute list

5) unit prediction scheme order relation table

Prediction scheme reconstruction subsystem:

The first matching initial unit:

$S_a=\{s_1^1,s_1^2,s_1^3,s_1^4,s_1^5\};$

$S_b=\{s_2^1,s_2^2,s_2^3,s_2^4,s_2^5\};$

The second initialization unit:

T _a＝{1，2，3，4，5}；

T _b＝{1，2，3，4，5}；

The 3rd matching initial unit

$W_a^1=\left\{\mathrm{101,102}\right\};$

$W_a^2=\left\{\mathrm{103,104,105,106,107}\right\};$

$W_a^3=\left\{\mathrm{108,109,110,112}\right\};$

$W_a^4=\left\{\mathrm{113,114,115}\right\};$

$W_a^5=\mathrm{\φ};$

$W_b^1=\left\{\mathrm{101,102,109}\right\};$

$W_b^2=\left\{\mathrm{103,104,105,106,107}\right\};$

$W_b^3=\left\{\mathrm{111,112}\right\};$

$W_b^4=\left\{\mathrm{113,114,115}\right\};$

$W_b^5=\mathrm{\φ};$

The 4th initialization unit:

$R^a=\left[\begin{array}{ccccccccccccccccccc}t\left(s_1^1\right)& 1& & & & & & & & & & & & & & & & & \\ & 101& 1& & & & & & & & & & & & & & & & \\ & & 102& 1& & & & & & & & & & & & & & & \\ & & & t\left(s_1^2\right)& 1& 1& 1& 1& & & & & & & & & & & \\ & & & & 103& & & & 1& & & & & & & & & & \\ & & & & & 104& & & 1& & & & & & & & & & \\ & & & & & & 105& & 1& & & & & & & & & & \\ & & & & & & & 106& 1& & & & & & & & & & \\ & & & & & & & & 107& 1& & & & & & & & & \\ & & & & & & & & & t\left(s_1^3\right)& 1& 1& & & & & & & \\ & & & & & & & & & & 108& & & 1& & & & & \\ & & & & & & & & & & & 109& 1& & & & & & \\ & & & & & & & & & & & & 110& 1& & & & & \\ & & & & & & & & & & & & & 112& 1& & & & \\ & & & & & & & & & & & & & & t\left(s_1^4\right)& 1& 1& 1& \\ & & & & & & & & & & & & & & & 113& & & 1\\ & & & & & & & & & & & & & & & & 114& & 1\\ & & & & & & & & & & & & & & & & & 115& 1\\ & & & & & & & & & & & & & & & & & & t\left(s_1^5\right)\end{array}\right]$

$R^b=\left[\begin{array}{ccccccccccccccccc}t\left(s_2^1\right)& 1& & & & & & & & & & & & & & & \\ & 101& 1& & & & & & & & & & & & & & \\ & & 102& 1& & & & & & & & & & & & & \\ & & & t\left(s_2^2\right)& 1& 1& 1& 1& & & & & & & & & \\ & & & & 103& & & & 1& & & & & & & & \\ & & & & & 104& & & 1& & & & & & & & \\ & & & & & & 105& & 1& & & & & & & & \\ & & & & & & & 106& 1& & & & & & & & \\ & & & & & & & & 107& 1& & & & & & & \\ & & & & & & & & & t\left(s_2^3\right)& 1& & & & & & \\ & & & & & & & & & & 111& 1& & & & & \\ & & & & & & & & & & & 112& 1& & & & \\ & & & & & & & & & & & & t\left(s_2^4\right)& 1& 1& 1& \\ & & & & & & & & & & & & & 113& & & 1\\ & & & & & & & & & & & & & & 114& & 1\\ & & & & & & & & & & & & & & & 115& 11\\ & & & & & & & & & & & & & & & & t\left(s_2^5\right)\end{array}\right]$

Determining unit:

T＝{1，2，3，4，5}；

Judging unit:

N _a＝{1，4，10，15，19}；

N _b＝{1，4，10，13，17}；

Tectonic element:

$G_a^1=\left[\begin{array}{cccc}t\left(s_1^1\right)& & & \\ & 101& & \\ & & 102& \\ & & & t\left(s_1^2\right)\end{array}\right];$

$G_a^2=\left[\begin{array}{ccccccc}t\left(s_1^2\right)& & & & & & \\ & 103& & & & & \\ & & 104& & & & \\ & & & 105& & & \\ & & & & 106& & \\ & & & & & 107& \\ & & & & & & t\left(s_1^3\right)\end{array}\right];$

$G_a^3=\left[\begin{array}{cccccc}t\left(s_1^3\right)& & & & & \\ & 108& & & & \\ & & 109& & & \\ & & & 110& & \\ & & & & 112& \\ & & & & & t\left(s_1^4\right)\end{array}\right];$

$G_a^4=\left[\begin{array}{ccccc}t\left(s_1^4\right)& & & & \\ & 113& & & \\ & & 114& & \\ & & & 115& \\ & & & & t\left(s_1^5\right)\end{array}\right];$

$G_b^1=\left[\begin{array}{cccc}t\left(s_1^1\right)& & & \\ & 101& & \\ & & 102& \\ & & & t\left(s_1^2\right)\end{array}\right];$

$G_b^2=\left[\begin{array}{ccccccc}t\left(s_2^2\right)& & & & & & \\ & 103& & & & & \\ & & 104& & & & \\ & & & 105& & & \\ & & & & 106& & \\ & & & & & 107& \\ & & & & & & t\left(s_2^3\right)\end{array}\right];$

$G_b^3=\left[\begin{array}{cccc}t\left(s_2^3\right)& & & \\ & 111& & \\ & & 112& \\ & & & t\left(s_2^4\right)\end{array}\right];$

$G_b^4=\left[\begin{array}{ccccc}t\left(s_2^4\right)& & & & \\ & 113& & & \\ & & 114& & \\ & & & 115& \\ & & & & t\left(s_2^5\right)\end{array}\right];$

Merge cells:

C＝{1，1，1，0，1}；

The first generation unit:

$R^{\′}=\left[\begin{array}{ccccccccccccccccccccc}1& 1& & & & & & & & & & & & & & & & & & & \\ & 101& 1& & & & & & & & & & & & & & & & & & \\ & & 102& 1& & & & & & & & & & & & & & & & & \\ & & & 2& 1& 1& 1& 1& & & & & & & & & & & & & \\ & & & & 103& & & & 1& & & & & & & & & & & & \\ & & & & & 104& & & 1& & & & & & & & & & & & \\ & & & & & & 105& & 1& & & & & & & & & & & & \\ & & & & & & & 106& 1& & & & & & & & & & & & \\ & & & & & & & & 107& 1& & & & & & & & & & & \\ & & & & & & & & & 3& 1& 1& & & 1& & & & & & \\ & & & & & & & & & & 108& & & 1& & & & & & & \\ & & & & & & & & & & & 109& 1& & & & & & & & \\ & & & & & & & & & & & & 110& 1& & & & & & & \\ & & & & & & & & & & & & & 112& & & 1& & & & \\ & & & & & & & & & & & & & & 111& 1& & & & & \\ & & & & & & & & & & & & & & & 112& 1& & & & \\ & & & & & & & & & & & & & & & & 4& 1& 1& 1& \\ & & & & & & & & & & & & & & & & & 113& & & 1\\ & & & & & & & & & & & & & & & & & & 114& & 1\\ & & & & & & & & & & & & & & & & & & & 115& 1\\ & & & & & & & & & & & & & & & & & & & & 5\end{array}\right];$

J′＝{1，101，102，2，103，104，105，106，107，3，108，109，110，112，111，112，4，113，114，115，5}；

The second generation unit:

$R=\left[\begin{array}{cccccccccccccccccccc}1& 1& & & & & & & & & & & & & & & & & & \\ & 101& 1& & & & & & & & & & & & & & & & & \\ & & 102& 1& & & & & & & & & & & & & & & & \\ & & & 2& 1& 1& 1& 1& & & & & & & & & & & & \\ & & & & 103& & & & 1& & & & & & & & & & & \\ & & & & & 104& & & 1& & & & & & & & & & & \\ & & & & & & 105& & 1& & & & & & & & & & & \\ & & & & & & & 106& 1& & & & & & & & & & & \\ & & & & & & & & 107& 1& & & & & & & & & & \\ & & & & & & & & & 3& 1& 1& & 1& & & & & & \\ & & & & & & & & & & 108& & & & 1& & & & & \\ & & & & & & & & & & & 109& 1& & & & & & & \\ & & & & & & & & & & & & 110& & 1& & & & & \\ & & & & & & & & & & & & & 111& 1& & & & & \\ & & & & & & & & & & & & & & 112& 1& & & & \\ & & & & & & & & & & & & & & & 4& 1& 1& 1& \\ & & & & & & & & & & & & & & & & 113& & & 1\\ & & & & & & & & & & & & & & & & & 114& & 1\\ & & & & & & & & & & & & & & & & & & 115& 1\\ & & & & & & & & & & & & & & & & & & & 5\end{array}\right];$

J＝{1，101，102，2，103，104，105，106，107，3，108，109，110，111，112，4，113，114，115，5}；

Accompanying drawing 5-6 shows respectively somewhere sight process S after severe snow the condition of a disaster occurs ₁and S ₂treatment scheme, 7, accompanying drawing shows and adopts the application's prediction scheme reconstructing method to sight process S ₁and S ₂reconstruction result.Accompanying drawing 8-10 shows respectively certain city's earthquake and causes gas leak sight process S ₁and S ₂treatment scheme, 10, accompanying drawing shows and adopts the application's prediction scheme reconstructing method to sight process S ₁and S ₂reconstruction result.Visible, the emergency preplan after reconstruct is more flexible, also more has directive significance.

Above embodiment is only for illustrating the present invention; and be not limitation of the present invention; the those of ordinary skill of correlative technology field; without departing from the spirit and scope of the present invention; can also make a variety of changes and modification; therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (8)

1. the area of computer aided emergency system based on prediction scheme, comprising: acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement are determined subsystem, unit prediction scheme chooser system, prediction scheme reconstruction subsystem and prediction scheme executive subsystem; Wherein

Data acquisition subsystem, comprises

Distributed sensor, monitors and receives the report of various accidents, and form information reporting list, and deposit information reporting list in first memory,

The first transmitter, is sent to sight process analysis procedure analysis subsystem by type of emergency event, and by information reporting single upload to central memory;

Sight process analysis procedure analysis subsystem, comprises

The first receiver, receives the type of emergency event that data acquisition subsystem sends

The matching analysis processor, the type of emergency event sending according to the data acquisition subsystem receiving, download pre-stored accident mapping table from central memory, according to above-mentioned mapping table, analyze the possible sight process of various accidents, form sight process analysis procedure analysis table, deposit second memory in

The second transmitter, is sent to functional requirement by sight process analysis procedure analysis table and determines subsystem, and sight process analysis procedure analysis table is uploaded to central memory;

Functional requirement is determined subsystem, comprises

The second receiver, receives the sight process that sight process analysis procedure analysis subsystem sends,

Functional requirement analyzer, determines functional requirement corresponding to various sight processes, and forms functional requirement table, deposits the 3rd storer in,

The 3rd transmitter, is sent to unit prediction scheme chooser system by functional requirement table, and functional requirement table is uploaded to central memory;

Unit prediction scheme chooser system, comprises

The 3rd receiver, the functional requirement that receiving function Location of requirement subsystem sends,

Selection analysis device, according to above-mentioned functions demand selected cell prediction scheme, and forming unit prediction scheme attribute list and unit prediction scheme ordinal relation table, deposit the 4th storer in,

The 4th transmitter, is uploaded to central memory by unit prediction scheme attribute list and unit prediction scheme ordinal relation table;

Prediction scheme reconstruction subsystem, comprises

Central memory, storage data acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement are determined information reporting list, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and the unit prediction scheme ordinal relation table that subsystem, unit prediction scheme chooser system are uploaded respectively

Restructuring analysis device, call central memory canned data report, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table, by the restructing operation of unit prediction scheme, generate the reconstruct prediction scheme of corresponding possible sight process

The 5th transmitter, is sent to prediction scheme executive subsystem by reconstruct prediction scheme;

Prediction scheme executive subsystem, carries out the reconstruct prediction scheme being generated by prediction scheme reconfiguration unit.

2. the area of computer aided emergency system based on prediction scheme as claimed in claim 1, wherein said restructuring analysis device comprises:

The first matching initial unit, it mates the data item in information reporting list " event type " with the data item " event type " in sight process analysis procedure analysis table, and according to data item " the sight ID in sight process analysis procedure analysis table ", to S _icarry out initialization, and will participate in the S of reconstruct sight process _igive S _a, S _b, wherein for k the sight of sight process i, a _ifor the sight number of sight process i, S _a, S _brepresent respectively to participate in reconstruct two sight processes;

The second initialization unit, according to the data item in sight process analysis procedure analysis table " time point identification ID " value, to T _icarry out initialization, k=1,2 ..., a _i, and will participate in the T of reconstruct sight process _igive respectively T _a, T _b, wherein for the time point identification of k sight of sight process i, t _a, T _brepresent to participate in respectively the time point identification sets of reconstruct two sight processes;

The 3rd matching initial unit, mates the data item in functional requirement table " functional requirement ID " with the data item " function " in unit prediction scheme attribute list, according to the data item in unit prediction scheme attribute list " unit prediction scheme ID ", initialization sight required unit prediction scheme collection W _i ^k, k=1,2 ..., a _i, W _i ^kmiddle element is arranged according to unit prediction scheme ID ascending order, wherein for j unit prediction scheme of k sight of sight process i, k=1,2 ..., a _i;

The 4th initialization unit, the bonding relation matrix of initialization sight process i and reconstruct sight process will be participated in give respectively R ^a, R ^b, wherein R ^a, R ^brepresent to participate in respectively the bonding relation matrix of reconstruct two sight processes;

Determining unit, determines reconstruct position collection T, T=T _a∩ T _b, T _a, T _bfor participating in the time point mark set of two sight processes of reconstruct, wherein T=XSECT (T _a, T _b);

Judging unit, judges the position of reconstruct position on bonding relation diagonal of a matrix, wherein, and N _a, N _bdeposit respectively the reconstruct position that participates in reconstruct two sight processes, the position on bonding relation diagonal of a matrix separately;

Tectonic element, constructs the bonding relation matrix in adjacent reconstruct position wherein represent to participate in respectively the adjacent reconstruct position inside lap relational matrix of reconstruct two sight processes, y=1,2 ..., n _t, n _tfor the element number of set T;

Merge cells, according to the sight of reconstruct position is merged or generates branch node;

The first generation unit, generates the prediction scheme node set J ' and the bonding relation matrix R ' that tackle possible sight process;

The second generation unit, the tight front nodal point of the reconstruct position to C (y)=1 judges, if same unit prediction scheme merges; The tight front nodal point that again this is merged to point judges, if same unit prediction scheme, continue to merge, until be different units prediction scheme, stop, generate the node set J of prediction scheme and the module of bonding relation matrix R of the possible sight process of reply, wherein R is prediction scheme bonding relation matrix after merging, and J is prediction scheme node set after merging.

3. the area of computer aided emergency system based on prediction scheme as claimed in claim 1, wherein acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement determine that subsystem, unit prediction scheme chooser system and prediction scheme reconstruction subsystem are distributed system, between each subsystem, connect by remote-wireless communication mode.

4. the area of computer aided emergency system based on prediction scheme as claimed in claim 3, wherein said remote-wireless communication mode is GSM, the one in CDMA.

5. the area of computer aided emergency system based on prediction scheme as claimed in claim 1, wherein acquisition subsystem, sight process analysis procedure analysis subsystem, functional requirement determine that subsystem, unit prediction scheme chooser system and prediction scheme reconstruction subsystem are distributed system, between each subsystem, connect by short-distance wireless communication mode.

6. the area of computer aided emergency system based on prediction scheme as claimed in claim 5, wherein said short-distance wireless communication mode is WIFI, bluetooth, the one in NFC.

7. the area of computer aided emergency method based on prediction scheme, described method comprises the steps:

Data acquisition, monitors and receives the report of various accidents, and by the report writing information report receiving, storage information reporting list, sends type of emergency event, and by information reporting single upload to central memory;

Sight process analysis procedure analysis, receive the type of emergency event of above-mentioned transmission, according to the type of emergency event receiving, download pre-stored accident mapping table from central memory, according to above-mentioned mapping table, analyze the possible sight process of various accidents, form sight process analysis procedure analysis table, store this sight process analysis procedure analysis table, send sight process analysis procedure analysis table, and sight process analysis procedure analysis table is uploaded to central memory;

Determine functional requirement, receive the sight process of above-mentioned transmission, determine functional requirement corresponding to various sight processes, and form functional requirement table, deposit this functional requirement table in, send this functional requirement table, and functional requirement table is uploaded to central memory; ;

Unit prediction scheme is selected, receive the functional requirement of above-mentioned transmission, according to above-mentioned functions demand selected cell prediction scheme, form and storage unit prediction scheme attribute list and unit prediction scheme ordinal relation table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table are uploaded to central memory;

Prediction scheme reconstruct, according to the logical relation of the unit prediction scheme of above-mentioned selection, call central memory canned data report, sight process analysis procedure analysis table, functional requirement table, unit prediction scheme attribute list and unit prediction scheme ordinal relation table, by the restructing operation of unit prediction scheme, generate the reconstruct prediction scheme of corresponding possible sight process;

Prediction scheme is carried out, and carries out the reconstruct prediction scheme being generated by prediction scheme reconstruct.

8. the area of computer aided emergency method based on prediction scheme as claimed in claim 7, wherein said prediction scheme reconstruct comprises step:

It mates the data item in information reporting list " event type " with the data item " event type " in sight process analysis procedure analysis table, and according to data item " the sight ID in sight process analysis procedure analysis table ", to S _icarry out initialization, and will participate in the S of reconstruct sight process _igive S _a, S _b, wherein for k the sight of sight process i, a _ifor the sight number of sight process i, S _a, S _brepresent respectively to participate in reconstruct two sight processes;

According to the data item in sight process analysis procedure analysis table " time point identification ID " value, to T _icarry out initialization, k=1,2 ..., a _i, and will participate in the T of reconstruct sight process _igive respectively T _a, T _b, wherein for the time point identification of k sight of sight process i, t _a, T _brepresent to participate in respectively the time point identification sets of reconstruct two sight processes;

Data item in functional requirement table " functional requirement ID " is mated with the data item " function " in unit prediction scheme attribute list, according to the data item in unit prediction scheme attribute list " unit prediction scheme ID ", initialization sight required unit prediction scheme collection W _i ^k, k=1,2 ..., a _i, W _i ^kmiddle element is arranged according to unit prediction scheme ID ascending order, wherein for j unit prediction scheme of k sight of sight process i, k=1,2 ..., a _i;

The bonding relation matrix of initialization sight process i and reconstruct sight process will be participated in give respectively R ^a, R ^b, wherein R ^a, R ^brepresent to participate in respectively the bonding relation matrix of reconstruct two sight processes;

Determine reconstruct position collection T, T=T _a∩ T _b, T _a, T _bfor participating in the time point mark set of two sight processes of reconstruct, wherein T=XSECT (T _a, T _b);

Judge the position of reconstruct position on bonding relation diagonal of a matrix, wherein, N _a, N _bdeposit respectively the reconstruct position that participates in reconstruct two sight processes, the position on bonding relation diagonal of a matrix separately;

Construct the bonding relation matrix in adjacent reconstruct position wherein represent to participate in respectively the adjacent reconstruct position inside lap relational matrix of reconstruct two sight processes, y=1,2 ..., n _t, n _tfor the element number of set T;

According to the sight of reconstruct position is merged or generates branch node;

Generate prediction scheme node set J ' and the bonding relation matrix R ' of the possible sight process of reply;

The tight front nodal point of the reconstruct position to C (y)=1 judges, if same unit prediction scheme merges; The tight front nodal point that again this is merged to point judges, if same unit prediction scheme, continue to merge, until be different units prediction scheme, stop, generate the node set J of prediction scheme and the module of bonding relation matrix R of the possible sight process of reply, wherein R is prediction scheme bonding relation matrix after merging, and J is prediction scheme node set after merging.