CN105631794A - Method and system for realizing emergency command - Google Patents
Method and system for realizing emergency command Download PDFInfo
- Publication number
- CN105631794A CN105631794A CN201510984695.6A CN201510984695A CN105631794A CN 105631794 A CN105631794 A CN 105631794A CN 201510984695 A CN201510984695 A CN 201510984695A CN 105631794 A CN105631794 A CN 105631794A
- Authority
- CN
- China
- Prior art keywords
- scene
- burst scene
- corresponding relation
- burst
- prediction scheme
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 158
- 230000003993 interaction Effects 0.000 claims abstract description 89
- 238000007405 data analysis Methods 0.000 claims abstract description 87
- 238000012544 monitoring process Methods 0.000 claims abstract description 67
- 230000008569 process Effects 0.000 claims description 127
- 238000012986 modification Methods 0.000 abstract 1
- 230000004048 modification Effects 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
Classifications
-
- G06Q50/40—
Abstract
The present invention discloses a method and system for realizing emergency command. The method comprises the following steps that: first storage equipment set an emergency scene, a monitoring parameter, the condition of emergency scene generation and the first corresponding relation among the names of treatment plans in advance; a data analysis device obtains the monitoring value of the monitoring parameter corresponding to an emergency scene in the first corresponding relation, judges that the obtained monitoring value satisfies the condition of the emergency scene generation corresponding to the emergency scene, and stores the second corresponding relation between the emergency scene and information which indicates that the emergency scene happens; and a human-machine interaction device obtains the emergency scene corresponding to the information which indicates that the emergency scene happens in the second corresponding relation, sends information which indicates that the obtained emergency scene happens to the user, obtains the name of a treatment plan corresponding to the obtained emergency scene, and displays the name of the obtained processing plan. Through the scheme of the invention, when the monitoring and early warning of different emergency scenes are needed, only the modification of the first corresponding relation in the first storage device is needed, and thus the monitoring and early warning of the different emergency scenes are simply realized.
Description
Technical field
The present invention relates to contingency management technology, espespecially a kind of method and system realizing emergency command.
Background technology
Along with developing rapidly of track traffic, its safety problem highlighted is also increasingly serious, and the track traffic emergency commading system establishing and improve system seems particularly necessary.
In current rail transportation operation, often it is faced with various burst scene, such as fire, blast, gas attack, vile weather, burst large passenger flow etc., for these burst scenes, effective method is not yet had to realize different burst scenes is monitored and early warning.
Summary of the invention
In order to solve the problems referred to above, the present invention proposes a kind of method and system realizing emergency command, it is possible to realize the monitoring to different burst scenes and early warning simply.
In order to achieve the above object, the present invention proposes a kind of method realizing emergency command, including:
First storage device pre-sets the first corresponding relation between condition and the title processing prediction scheme of burst scene, monitoring parameter, burst scene generation;
Data analysis facilities obtains the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation; Judge that the monitor value obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred;
Human-computer interaction device obtains the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, the information representing that the burst scene obtained has occurred is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains acquisition, the title of the process prediction scheme that display obtains.
Optionally, described human-computer interaction device obtains the title of process prediction scheme corresponding to the burst scene of acquisition and includes:
Described human-computer interaction device sends the message of the title of process prediction scheme corresponding to the burst scene inquiring about described acquisition to described data analysis facilities;
In the described data analysis facilities the 3rd corresponding relation between the burst scene pre-saved and the title processing prediction scheme, search the title of process prediction scheme corresponding to the burst scene of described acquisition, the title of the process prediction scheme found is sent to described human-computer interaction device.
Optionally, when described data analysis facilities searches the title of the process prediction scheme corresponding less than the burst scene of described acquisition in described 3rd corresponding relation, described human-computer interaction device obtains the title of process prediction scheme corresponding to the burst scene of acquisition and also includes:
Described data analysis facilities sends the message of the described title inquiring about process prediction scheme corresponding to the burst scene obtained to described first storage device;
Described first storage device searches the title of process prediction scheme corresponding to the burst scene of described acquisition in described first corresponding relation, and the title of the process prediction scheme found is sent to described data analysis facilities;
Described data analysis facilities preserves the 3rd corresponding relation between the burst scene of described acquisition and the title of process prediction scheme received, and the title of the process prediction scheme received is sent to described human-computer interaction device.
Optionally, described first corresponding relation and described 3rd corresponding relation also include the execution step processing prediction scheme, and the method also includes:
When described human-computer interaction device receives from the instruction of the query execution step of user, described human-computer interaction device obtains the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of described query execution step and shows.
Optionally, when described human-computer interaction device receives the mark instruction from described user, the method also includes:
Described man-machine interaction execution step in the described mark instruction of the process prediction scheme of described acquisition shows the execution state in described mark instruction.
Optionally, the method also includes:
The 4th corresponding relation between execution step in the title of the process prediction scheme of described acquisition, described mark instruction and the execution state in described mark instruction is sent to described data analysis facilities by described man-machine interaction;
Described data analysis facilities preserves the 4th corresponding relation received.
Optionally, the first corresponding relation that described first storage device pre-sets between condition and the title processing prediction scheme of burst scene, monitoring parameter, burst scene generation includes:
Off-line configuration equipment receives described first corresponding relation from described user, by described first corresponding relation by installing in described first storage device under the lower dress proxy service device of track traffic synthetic monitoring system.
Optionally, when described off-line configuration equipment receives the message of described first corresponding relation of the increase from described user/delete/revise, the method also includes:
Described off-line configuration equipment according to the message of described first corresponding relation of the increase received/delete/revise increase/delete/revise described first corresponding relation, and by increasing/delete/the first corresponding relation of amendment by described lower dress proxy service device increase/delete/revise the first corresponding relation in described first storage device.
Optionally, described data analysis facilities obtains the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation and includes:
Described data analysis facilities sends the message of the monitor value inquiring about monitoring parameter corresponding to described a certain burst scene to the second storage device in track traffic synthetic monitoring system; Receive the monitor value of the described a certain burst scene correspondence monitoring parameter from described second storage device.
Optionally, described human-computer interaction device obtains and represents in the second corresponding relation that burst scene corresponding to the burst information that occurred of scene includes:
Described human-computer interaction device sends, to described data analysis facilities, the message that inquiry burst scene has occurred and that the burst scene of correspondence; Described data analysis facilities is searched burst scene in described second corresponding relation and is had occurred and that the burst scene of correspondence, and the burst scene found is sent to described human-computer interaction device.
Optionally, described in judge obtain monitor value meet a certain burst scene corresponding burst scene generation condition after, the method also includes:
Described data analysis facilities preserves the 5th corresponding relation between the condition of burst scene generation corresponding to the title of described a certain burst scene, the monitoring point information of described a certain burst scene and described a certain burst scene.
The invention allows for a kind of system realizing emergency command, at least include:
First storage device, is used for the first corresponding relation pre-setting between condition and the title of process prediction scheme of burst scene, monitoring parameter, burst scene generation;
Data analysis facilities, for obtaining the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation; Judge that the monitor value obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred;
Human-computer interaction device, for obtaining the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, the information representing that the burst scene obtained has occurred is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains described acquisition, the title of the process prediction scheme that display obtains.
Optionally, described human-computer interaction device specifically for:
Obtain the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, send the information representing that the burst scene obtained has occurred to user, send the message of the title of process prediction scheme corresponding to the burst scene inquiring about described acquisition to described data analysis facilities; Receive the title of the process prediction scheme from described data analysis facilities, the title of the process prediction scheme that display receives;
Described data analysis facilities is additionally operable to:
In the 3rd corresponding relation between the burst scene pre-saved and the title processing prediction scheme, search the title of process prediction scheme corresponding to the burst scene of described acquisition, the title of the process prediction scheme found is sent to described human-computer interaction device.
Optionally, described data analysis facilities is additionally operable to:
Described 3rd corresponding relation is searched the title of the process prediction scheme corresponding less than the burst scene of described acquisition, sends the message of the described title inquiring about process prediction scheme corresponding to the burst scene obtained to described first storage device; The 3rd corresponding relation between the burst scene preserving described acquisition and the title of the process prediction scheme received, and the title of the process prediction scheme received is sent to described human-computer interaction device.
Described first storage device is additionally operable to:
Described first corresponding relation is searched the title of process prediction scheme corresponding to the burst scene of described acquisition, the title of the process prediction scheme found is sent to described data analysis facilities.
Optionally, described first corresponding relation and described 3rd corresponding relation also include the execution step of process prediction scheme;
Described human-computer interaction device is additionally operable to:
Receive the instruction of the query execution step from user, obtain the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of described query execution step and show.
Optionally, described human-computer interaction device is additionally operable to:
Receiving the mark instruction from described user, the execution step in the described mark instruction of the process prediction scheme of described acquisition shows the execution state in described mark instruction.
Optionally, described man-machine interaction is additionally operable to:
The 4th corresponding relation between execution step in the process prediction scheme of described acquisition, described mark instruction and the execution state in described mark instruction is sent to described data analysis facilities;
Described data analysis facilities is additionally operable to: preserve the 4th corresponding relation received.
Optionally, described data analysis facilities specifically for:
The message of the monitor value inquiring about monitoring parameter corresponding to described a certain burst scene is sent to the second storage device in track traffic synthetic monitoring system; Receive the monitor value of the described a certain burst scene correspondence monitoring parameter from described second storage device; Judge that the monitor value obtained meets the condition that the burst scene that in the first corresponding relation, burst scene is corresponding occurs, preserve burst scene and the second corresponding relation represented between the information that burst scene has occurred.
Optionally, described human-computer interaction device specifically for:
Send, to described data analysis facilities, the message that inquiry burst scene has occurred and that the burst scene of correspondence, receive the burst scene found from described data analysis facilities, send the information representing that the burst scene obtained has occurred to user;
Described data analysis facilities is additionally operable to:
Receive the burst scene of inquiring about from described human-computer interaction device and have occurred and that the message of corresponding burst scene, described second corresponding relation is searched burst scene and has occurred and that the burst scene of correspondence, the burst scene found is sent to described human-computer interaction device.
Compared with prior art, technical scheme includes: the first storage device pre-sets the first corresponding relation between condition and the title processing prediction scheme of burst scene, monitoring parameter, burst scene generation; Data analysis facilities obtains the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation; Judge that the monitor value obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred; Human-computer interaction device obtains the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, the information representing that the burst scene obtained has occurred is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains acquisition, the title of the process prediction scheme that display obtains. By the solution of the present invention, when needing different burst scenes is monitored and during early warning, it is only necessary to revise the first corresponding relation in the first storage device, thus achieving the monitoring to different burst scenes and early warning simply.
Further, first corresponding relation and the 3rd corresponding relation also include the execution step processing prediction scheme, when human-computer interaction device receives from the instruction of the query execution step of user, human-computer interaction device obtains the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step and shows. By the execution step processing prediction scheme is displayed, carry out emergency command for commander and provide convenience.
Execution state further, when human-computer interaction device receives the mark instruction from user, in man-machine interaction execution step display mark instruction in the mark instruction of the process prediction scheme obtained. It is estimated providing assessment foundation for the follow-up emergency processing to scene of user by mark function.
Accompanying drawing explanation
Below the accompanying drawing in the embodiment of the present invention being illustrated, the accompanying drawing in embodiment is for a further understanding of the present invention, is used for explaining the present invention, is not intended that limiting the scope of the invention together with description.
Fig. 1 is the flow chart that the present invention realizes the method for emergency command;
Fig. 2 is the structure composition schematic diagram that the present invention realizes the system of emergency command.
Detailed description of the invention
For the ease of the understanding of those skilled in the art, below in conjunction with accompanying drawing, the invention will be further described, can not be used for limiting the scope of the invention. It should be noted that when not conflicting, the embodiment in the application and the various modes in embodiment can be mutually combined.
Fig. 1 is the method that the present invention realizes emergency command, including:
Step 100, the first storage device pre-set the first corresponding relation between condition and the title processing prediction scheme of burst scene, monitoring parameter, burst scene generation. Specifically include:
Off-line configuration equipment receives the first corresponding relation from user, by the first corresponding relation by installing in the first storage device under the lower dress proxy service device of track traffic synthetic monitoring system.
Wherein, off-line configuration equipment how by the first corresponding relation by installing to, under the lower dress proxy service device of track traffic synthetic monitoring system, the known technology belonging to those skilled in the art in the first storage device; the protection domain being not intended to limit the present invention, repeats no more here.
Wherein, when off-line configuration equipment receives the message of the increase from user/delete/revise the first corresponding relation, off-line configuration equipment according to the message of the increase received/delete/revise the first corresponding relation increase/delete/revise the first corresponding relation, and by increasing/delete/the first corresponding relation of amendment increases/delete/the first corresponding relation of revising in the first storage device by lower dress proxy service device.
Wherein, off-line configuration equipment how by increasing/delete/the first corresponding relation of amendment by lower dress proxy service device increase/delete/the first corresponding relation of revising in the first storage device belongs to the known technology of those skilled in the art, the protection domain being not intended to limit the present invention.
Wherein, increase and the message of the first corresponding relation can comprise the first corresponding relation to be increased, after off-line configuration equipment receives the message increasing by the first corresponding relation, preserve and increase the first corresponding relation to be increased in the message of the first corresponding relation.
Deleting and can comprise the first corresponding relation to be deleted in the message of the first corresponding relation, off-line configuration equipment deletes the first corresponding relation to be deleted in the message of the first corresponding relation after receiving the message deleting the first corresponding relation.
Revise and the message of the first corresponding relation can comprise the first corresponding relation to be modified and amended first corresponding relation, off-line configuration equipment is revised as amended first corresponding relation by revising the first corresponding relation to be modified in the message of the first corresponding relation after receiving the message of amendment the first corresponding relation.
In this step, the first corresponding relation also includes the place that burst scene occurs.
In this step, the first corresponding relation also includes the execution step processing prediction scheme.
In this step, burst scene can be fire or blast or gas attack or vile weather or burst large passenger flow etc.; The condition that burst scene occurs can be comprise the logical expression of one or more monitoring parameters, the logical relation operator of logical expression support include with or, XOR etc., element in logical expression is monitoring expression formula corresponding to parameter, the operator of the expression formula support that monitoring parameter is corresponding includes being equal to, is not equal to, more than, more than or equal to, less than, less than or equal to etc.
Step 101, data analysis facilities obtain each monitor value monitoring parameter that a certain burst scene in the first corresponding relation is corresponding; Judge that each monitor value monitoring parameter obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred.
In this step, when each monitor value monitoring parameter judging to obtain is unsatisfactory for the condition that burst scene corresponding to this burst scene occurs, process ends.
In this step, when the logical expression judged in the condition that burst scene occurs is set up, it is judged that each monitor value monitoring parameter of acquisition meets the condition that burst scene corresponding to this burst scene occurs.
When the logical expression judged in the condition that burst scene occurs is false, it is judged that each monitor value monitoring parameter of acquisition is unsatisfactory for the condition that burst scene corresponding to this burst scene occurs.
In this step, data analysis facilities obtains the monitor value of monitoring parameter corresponding to a certain burst scene in the first corresponding relation and includes:
Data analysis facilities sends the message of the monitor value inquiring about monitoring parameter corresponding to a certain burst scene to the second storage device in track traffic synthetic monitoring system; Receive the monitor value of a certain burst scene correspondence monitoring parameter from the second storage device.
Wherein, when the second storage device receives the message of the monitor value inquiring about monitoring parameter corresponding to a certain burst scene, the up-to-date monitor value of the monitoring parameter of self is sent to data analysis facilities.
Wherein, how the second storage device obtains the monitor value of the monitoring parameter of monitoring belongs to the known technology of those skilled in the art, the protection domain being not intended to limit the present invention, and repeats no more here.
Wherein, the message of the monitor value of the monitoring parameter that inquiry burst scene is corresponding includes the monitoring parameter that a certain place to inquire about is corresponding with a certain burst scene.
In this step, after judging that the monitor value obtained meets the condition that burst scene corresponding to a certain burst scene occurs, data analysis facilities can also preserve the 5th corresponding relation between the condition of burst scene generation corresponding to the title of this burst scene, the monitoring point information of this burst scene and this burst scene. Wherein, can also including alarm content in the 5th corresponding relation, the description information namely this burst scene event being described, the monitoring point information of this burst scene can be time and/or the place of this burst scene generation.
Step 102, human-computer interaction device obtain the burst scene representing in the second corresponding relation that information that burst scene has occurred is corresponding, the information representing the burst scene obtained is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains acquisition, the title of the process prediction scheme that display obtains.
In this step, human-computer interaction device obtains and represents in the second corresponding relation that burst scene corresponding to the burst information that occurred of scene includes:
Human-computer interaction device sends, to described data analysis facilities, the message that inquiry burst scene has occurred and that the burst scene of correspondence; Data analysis facilities is searched burst scene in the second corresponding relation and is had occurred and that the burst scene of correspondence, and the burst scene found is sent to human-computer interaction device.
Wherein, when data analysis facilities searches the burst scene having occurred and that correspondence less than burst scene in the second corresponding relation, data analysis facilities sends the information representing that the scene that do not happen suddenly occurs to human-computer interaction device.
In this step, human-computer interaction device can send, by the change of special icon color, the information representing that the burst scene obtained has occurred to user. Such as, by adopting cycle property on the button that burst scene is corresponding alternately to show that the burst scene that cColor-cycling two kinds different points out user to obtain has occurred and that.
On the display interface of human-computer interaction device, can by burst scene be carried out classification multi-zone supervision, user can enter the burst scene of corresponding level after clicking corresponding button, when the burst scene pointing out user to obtain has occurred and that, is also carried out successively pointing out.
In this step, commanding can carry out emergency command according to the process prediction scheme of display.
In this step, it is thus achieved that the title of process prediction scheme corresponding to burst scene can be one, it is also possible to being multiple, if multiple, can display with forms such as lists when display, user can select one of them to check concrete execution step.
In this step, human-computer interaction device obtains the title of process prediction scheme corresponding to the burst scene of acquisition and includes:
Human-computer interaction device sends the message of the title inquiring about process prediction scheme corresponding to the burst scene obtained to data analysis facilities; In the data analysis facilities the 3rd corresponding relation between the burst scene pre-saved and the title processing prediction scheme, search the title of process prediction scheme corresponding to the burst scene obtained, the title of the process prediction scheme found is sent to human-computer interaction device.
When data analysis facilities is searched less than the title of processs prediction scheme corresponding to burst scene obtained in the 3rd corresponding relation, human-computer interaction device obtains the title of process prediction scheme corresponding to the burst scene of acquisition and also includes: data analysis facilities inquires about the message of the title of process prediction scheme corresponding to the burst scene of acquisition to the first storage device transmission; First storage device searches the title of process prediction scheme corresponding to the burst scene obtained in the first corresponding relation, and the title of the process prediction scheme found is sent to data analysis facilities; Data analysis facilities preserves the 3rd corresponding relation between the title of the burst scene obtained and the process prediction scheme received, and the title of the process prediction scheme received is sent to human-computer interaction device.
Wherein, when human-computer interaction device receives from the instruction of the query execution step of user, human-computer interaction device obtains the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step and shows.
Wherein, also including the execution step of the process prediction scheme of this burst scene in the 3rd corresponding relation, human-computer interaction device obtains the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step and includes:
Human-computer interaction device sends the instruction of query execution step to data analysis facilities; Data analysis facilities searches the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step in the 3rd corresponding relation, and the execution step found is sent to human-computer interaction device.
When data analysis facilities searches the execution step of the process prediction scheme corresponding less than the title of the process prediction scheme in the instruction of query execution step in the 3rd corresponding relation, data analysis facilities sends the instruction of query execution step to the first storage device, first storage device searches the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step in the first corresponding relation, the execution step found is saved in the 3rd corresponding relation that this burst scene is corresponding with the title of the process prediction scheme in the instruction of query execution step, and the execution step found is sent to human-computer interaction device.
Execution state wherein, when human-computer interaction device receives the mark instruction from user, in man-machine interaction execution step display mark instruction in the mark instruction of the process prediction scheme obtained.
Wherein, man-machine interaction is it is also possible that the 4th corresponding relation stated between the title of the process prediction scheme of acquisition, the execution step marked in instruction and the execution state marked in instruction is sent to data analysis facilities; Data analysis facilities preserves the 4th corresponding relation received.
By the solution of the present invention, when needing different burst scenes is monitored and during early warning, it is only necessary to revise the first corresponding relation in the first storage device, thus achieving the monitoring to different burst scenes and early warning simply.
Further, first corresponding relation and the 3rd corresponding relation also include the execution step processing prediction scheme, when human-computer interaction device receives from the instruction of the query execution step of user, human-computer interaction device obtains the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step and shows. By the execution step processing prediction scheme is displayed, carry out emergency command for commander and provide convenience.
Execution state further, when human-computer interaction device receives the mark instruction from user, in man-machine interaction execution step display mark instruction in the mark instruction of the process prediction scheme obtained. It is estimated providing assessment foundation for the follow-up emergency processing to scene of user by mark function.
Referring to Fig. 2, the invention allows for a kind of system realizing emergency command, at least include:
First storage device, is used for the first corresponding relation pre-setting between condition and the title of process prediction scheme of burst scene, monitoring parameter, burst scene generation;
Data analysis facilities, for obtaining the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation; Judge that the monitor value obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred;
Human-computer interaction device, for obtaining the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, the information representing that the burst scene obtained has occurred is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains acquisition, the title of the process prediction scheme that display obtains.
In the system of the present invention, human-computer interaction device specifically for:
Obtain the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, send the information representing that the burst scene obtained has occurred to user, send the message of the title inquiring about process prediction scheme corresponding to the burst scene obtained to data analysis facilities; Receive the title of the process prediction scheme from data analysis facilities, the title of the process prediction scheme that display receives;
Data analysis facilities is additionally operable to:
In the 3rd corresponding relation between the burst scene pre-saved and the title processing prediction scheme, search the title of process prediction scheme corresponding to the burst scene obtained, the title of the process prediction scheme found is sent to human-computer interaction device.
In the system of the present invention, data analysis facilities is additionally operable to:
3rd corresponding relation is searched the title of the process prediction scheme corresponding less than the burst scene obtained, sends the message of the title inquiring about process prediction scheme corresponding to the burst scene obtained to the first storage device; Preserve the 3rd corresponding relation between the title of the burst scene obtained and the process prediction scheme received, and the title of the process prediction scheme received is sent to human-computer interaction device.
First storage device is additionally operable to:
First corresponding relation is searched the title of process prediction scheme corresponding to the burst scene obtained, the title of the process prediction scheme found is sent to data analysis facilities.
In the system of the present invention, the first corresponding relation also includes the execution step processing prediction scheme;
Human-computer interaction device is additionally operable to:
Receive the instruction of the query execution step from user, obtain the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of query execution step and show.
In the system of the present invention, human-computer interaction device is additionally operable to:
Receive the mark instruction from user, the execution state in the display mark instruction of execution step in the mark instruction of the process prediction scheme obtained.
In the system of the present invention, man-machine interaction is additionally operable to:
The 4th corresponding relation between execution step in the process prediction scheme obtained, mark instruction and the execution state in mark instruction is sent to data analysis facilities;
Data analysis facilities is additionally operable to: preserve the 4th corresponding relation received.
In the system of the present invention, data analysis facilities specifically for:
The message of the monitor value inquiring about monitoring parameter corresponding to a certain burst scene is sent to the second storage device in track traffic synthetic monitoring system; Receive the monitor value of a certain burst scene correspondence monitoring parameter from the second storage device; Judge that the monitor value obtained meets the condition that the burst scene that in the first corresponding relation, burst scene is corresponding occurs, preserve burst scene and the second corresponding relation represented between the information that burst scene has occurred.
In the system of the present invention, human-computer interaction device specifically for:
Send, to data analysis facilities, the message that inquiry burst scene has occurred and that the burst scene of correspondence, receive the burst scene found from data analysis facilities, send the information representing that the burst scene obtained has occurred to user;
Data analysis facilities is additionally operable to:
Receive the burst scene of inquiring about from human-computer interaction device and have occurred and that the message of corresponding burst scene, the second corresponding relation is searched burst scene and has occurred and that corresponding burst scene, the burst scene found is sent to human-computer interaction device.
It should be noted that; embodiment described above is for only for ease of those skilled in the art and understands; it is not limited to protection scope of the present invention; under the premise without departing from the inventive concept of the present invention, those skilled in the art to the made any apparent replacement and improvement etc. of the present invention all within protection scope of the present invention.
Claims (19)
1. the method realizing emergency command, it is characterised in that including:
First storage device pre-sets the first corresponding relation between condition and the title processing prediction scheme of burst scene, monitoring parameter, burst scene generation;
Data analysis facilities obtains the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation; Judge that the monitor value obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred;
Human-computer interaction device obtains the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, the information representing that the burst scene obtained has occurred is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains acquisition, the title of the process prediction scheme that display obtains.
2. method according to claim 1, it is characterised in that described human-computer interaction device obtains the title of process prediction scheme corresponding to the burst scene of acquisition and includes:
Described human-computer interaction device sends the message of the title of process prediction scheme corresponding to the burst scene inquiring about described acquisition to described data analysis facilities;
In the described data analysis facilities the 3rd corresponding relation between the burst scene pre-saved and the title processing prediction scheme, search the title of process prediction scheme corresponding to the burst scene of described acquisition, the title of the process prediction scheme found is sent to described human-computer interaction device.
3. method according to claim 2, it is characterized in that, when described data analysis facilities searches the title of the process prediction scheme corresponding less than the burst scene of described acquisition in described 3rd corresponding relation, described human-computer interaction device obtains the title of process prediction scheme corresponding to the burst scene of acquisition and also includes:
Described data analysis facilities sends the message of the described title inquiring about process prediction scheme corresponding to the burst scene obtained to described first storage device;
Described first storage device searches the title of process prediction scheme corresponding to the burst scene of described acquisition in described first corresponding relation, and the title of the process prediction scheme found is sent to described data analysis facilities;
Described data analysis facilities preserves the 3rd corresponding relation between the burst scene of described acquisition and the title of process prediction scheme received, and the title of the process prediction scheme received is sent to described human-computer interaction device.
4. method according to claim 2, it is characterised in that described first corresponding relation and described 3rd corresponding relation also include the execution step processing prediction scheme, and the method also includes:
When described human-computer interaction device receives from the instruction of the query execution step of user, described human-computer interaction device obtains the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of described query execution step and shows.
5. method according to claim 4, it is characterised in that when described human-computer interaction device receives the mark instruction from described user, the method also includes:
Described man-machine interaction execution step in the described mark instruction of the process prediction scheme of described acquisition shows the execution state in described mark instruction.
6. method according to claim 5, it is characterised in that the method also includes:
The 4th corresponding relation between execution step in the title of the process prediction scheme of described acquisition, described mark instruction and the execution state in described mark instruction is sent to described data analysis facilities by described man-machine interaction;
Described data analysis facilities preserves the 4th corresponding relation received.
7. method according to claim 1, it is characterised in that the first corresponding relation that described first storage device pre-sets between condition and the title processing prediction scheme of burst scene, monitoring parameter, burst scene generation includes:
Off-line configuration equipment receives described first corresponding relation from described user, by described first corresponding relation by installing in described first storage device under the lower dress proxy service device of track traffic synthetic monitoring system.
8. method according to claim 7, it is characterised in that when described off-line configuration equipment receives the message of described first corresponding relation of the increase from described user/delete/revise, the method also includes:
Described off-line configuration equipment according to the message of described first corresponding relation of the increase received/delete/revise increase/delete/revise described first corresponding relation, and by increasing/delete/the first corresponding relation of amendment by described lower dress proxy service device increase/delete/revise the first corresponding relation in described first storage device.
9. method according to claim 1, it is characterised in that described data analysis facilities obtains the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation and includes:
Described data analysis facilities sends the message of the monitor value inquiring about monitoring parameter corresponding to described a certain burst scene to the second storage device in track traffic synthetic monitoring system; Receive the monitor value of the described a certain burst scene correspondence monitoring parameter from described second storage device.
10. method according to claim 1, it is characterised in that described human-computer interaction device obtains and represents in the second corresponding relation that burst scene corresponding to the burst information that occurred of scene includes:
Described human-computer interaction device sends, to described data analysis facilities, the message that inquiry burst scene has occurred and that the burst scene of correspondence; Described data analysis facilities is searched burst scene in described second corresponding relation and is had occurred and that the burst scene of correspondence, and the burst scene found is sent to described human-computer interaction device.
11. method according to claim 1, it is characterised in that described in judge obtain monitor value meet a certain burst scene corresponding burst scene generation condition after, the method also includes:
Described data analysis facilities preserves the 5th corresponding relation between the condition of burst scene generation corresponding to the title of described a certain burst scene, the monitoring point information of described a certain burst scene and described a certain burst scene.
12. the system realizing emergency command, it is characterised in that at least include:
First storage device, is used for the first corresponding relation pre-setting between condition and the title of process prediction scheme of burst scene, monitoring parameter, burst scene generation;
Data analysis facilities, for obtaining the monitor value of the monitoring parameter that a certain burst scene is corresponding in the first corresponding relation; Judge that the monitor value obtained meets the condition that burst scene corresponding to this burst scene occurs, preserve this burst scene and the second corresponding relation represented between the information that burst scene has occurred;
Human-computer interaction device, for obtaining the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, the information representing that the burst scene obtained has occurred is sent to user, and the title of process prediction scheme corresponding to the burst scene that obtains described acquisition, the title of the process prediction scheme that display obtains.
13. system according to claim 12, it is characterised in that described human-computer interaction device specifically for:
Obtain the burst scene representing in the second corresponding relation that the burst information that occurred of scene is corresponding, send the information representing that the burst scene obtained has occurred to user, send the message of the title of process prediction scheme corresponding to the burst scene inquiring about described acquisition to described data analysis facilities; Receive the title of the process prediction scheme from described data analysis facilities, the title of the process prediction scheme that display receives;
Described data analysis facilities is additionally operable to:
In the 3rd corresponding relation between the burst scene pre-saved and the title processing prediction scheme, search the title of process prediction scheme corresponding to the burst scene of described acquisition, the title of the process prediction scheme found is sent to described human-computer interaction device.
14. system according to claim 13, it is characterised in that described data analysis facilities is additionally operable to:
Described 3rd corresponding relation is searched the title of the process prediction scheme corresponding less than the burst scene of described acquisition, sends the message of the described title inquiring about process prediction scheme corresponding to the burst scene obtained to described first storage device; The 3rd corresponding relation between the burst scene preserving described acquisition and the title of the process prediction scheme received, and the title of the process prediction scheme received is sent to described human-computer interaction device;
Described first storage device is additionally operable to:
Described first corresponding relation is searched the title of process prediction scheme corresponding to the burst scene of described acquisition, the title of the process prediction scheme found is sent to described data analysis facilities.
15. system according to claim 13, it is characterised in that described first corresponding relation and described 3rd corresponding relation also include the execution step processing prediction scheme;
Described human-computer interaction device is additionally operable to:
Receive the instruction of the query execution step from user, obtain the execution step of process prediction scheme corresponding to the title of the process prediction scheme in the instruction of described query execution step and show.
16. system according to claim 15, it is characterised in that described human-computer interaction device is additionally operable to:
Receiving the mark instruction from described user, the execution step in the described mark instruction of the process prediction scheme of described acquisition shows the execution state in described mark instruction.
17. system according to claim 16, it is characterised in that described man-machine interaction is additionally operable to:
The 4th corresponding relation between execution step in the process prediction scheme of described acquisition, described mark instruction and the execution state in described mark instruction is sent to described data analysis facilities;
Described data analysis facilities is additionally operable to: preserve the 4th corresponding relation received.
18. system according to claim 12, it is characterised in that described data analysis facilities specifically for:
The message of the monitor value inquiring about monitoring parameter corresponding to described a certain burst scene is sent to the second storage device in track traffic synthetic monitoring system; Receive the monitor value of the described a certain burst scene correspondence monitoring parameter from described second storage device; Judge that the monitor value obtained meets the condition that the burst scene that in the first corresponding relation, burst scene is corresponding occurs, preserve burst scene and the second corresponding relation represented between the information that burst scene has occurred.
19. system according to claim 12, it is characterised in that described human-computer interaction device specifically for:
Send, to described data analysis facilities, the message that inquiry burst scene has occurred and that the burst scene of correspondence, receive the burst scene found from described data analysis facilities, send the information representing that the burst scene obtained has occurred to user;
Described data analysis facilities is additionally operable to:
Receive the burst scene of inquiring about from described human-computer interaction device and have occurred and that the message of corresponding burst scene, described second corresponding relation is searched burst scene and has occurred and that the burst scene of correspondence, the burst scene found is sent to described human-computer interaction device.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510984695.6A CN105631794A (en) | 2015-12-24 | 2015-12-24 | Method and system for realizing emergency command |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510984695.6A CN105631794A (en) | 2015-12-24 | 2015-12-24 | Method and system for realizing emergency command |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105631794A true CN105631794A (en) | 2016-06-01 |
Family
ID=56046683
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510984695.6A Pending CN105631794A (en) | 2015-12-24 | 2015-12-24 | Method and system for realizing emergency command |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105631794A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111640280A (en) * | 2020-04-21 | 2020-09-08 | 北京北大千方科技有限公司 | Subway station pollutant early warning method based on multi-source information fusion |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101620783A (en) * | 2008-06-30 | 2010-01-06 | 株式会社日立制作所 | Traffic information system and traffic information processing method |
| CN102567307A (en) * | 2011-11-22 | 2012-07-11 | 中国铁道科学研究院电子计算技术研究所 | Emergency plan digitalizing method and emergency disposal plan generation method |
| CN103093314A (en) * | 2013-01-17 | 2013-05-08 | 郑州华骏技术有限公司 | Four-layer emergency plan digitization generation method based on rule engine and four-layer emergency plan digitization emergency system based on rule engine |
| CN104463490A (en) * | 2014-12-19 | 2015-03-25 | 国家电网公司 | Three-dimensional GIS electric power emergency command system |
-
2015
- 2015-12-24 CN CN201510984695.6A patent/CN105631794A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101620783A (en) * | 2008-06-30 | 2010-01-06 | 株式会社日立制作所 | Traffic information system and traffic information processing method |
| CN102567307A (en) * | 2011-11-22 | 2012-07-11 | 中国铁道科学研究院电子计算技术研究所 | Emergency plan digitalizing method and emergency disposal plan generation method |
| CN103093314A (en) * | 2013-01-17 | 2013-05-08 | 郑州华骏技术有限公司 | Four-layer emergency plan digitization generation method based on rule engine and four-layer emergency plan digitization emergency system based on rule engine |
| CN104463490A (en) * | 2014-12-19 | 2015-03-25 | 国家电网公司 | Three-dimensional GIS electric power emergency command system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111640280A (en) * | 2020-04-21 | 2020-09-08 | 北京北大千方科技有限公司 | Subway station pollutant early warning method based on multi-source information fusion |
| CN111640280B (en) * | 2020-04-21 | 2022-11-01 | 北京北大千方科技有限公司 | Subway station pollutant early warning method based on multi-source information fusion |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20150198945A1 (en) | Remote monitoring system for distant location robot | |
| CN105763522B (en) | Authorization processing method and device | |
| CN111445369B (en) | Urban large-scale aggregation activity information early warning method and device based on LBS big data | |
| CN104932456A (en) | Intelligent scene realizing method and device, intelligent terminal and controller | |
| CN104486673A (en) | Fault handling platform system and fault handling method | |
| CN104780185A (en) | Information sharing control method and device | |
| CN105590461A (en) | Method for prompting and guiding roadside parking by means of role-breaking big data | |
| US8892950B2 (en) | Failure diagnosis method and apparatus using resource relationship map | |
| CN114076873B (en) | Cable fault analysis and prediction method and device | |
| WO2023061239A1 (en) | Intelligent power distribution room safety management system | |
| CN101808015B (en) | Analytical method and device for relevance of alarm information | |
| CN113467337A (en) | Transportation monitoring method and system based on 5G communication | |
| CN105631794A (en) | Method and system for realizing emergency command | |
| CN104540163A (en) | Method and system for displaying base stations based on map | |
| CN110379116A (en) | A kind of alarm system and its alarm method based on Internet of Things | |
| CN106227513A (en) | Based on the method and system of graphic configuration under mobile platform | |
| CN101727082B (en) | Method for displaying multi-item alarm information at single position of operation screen | |
| CN108966345A (en) | Target-detection unit and system based on mobile terminal | |
| CN102298843A (en) | Rule-based linkage control method for road monitoring devices | |
| CN112678396A (en) | Logistics goods monitoring terminal system and method based on NB-IoT | |
| CN103546862A (en) | Cloud server, intelligent terminal and method and system for accessing intelligent terminal to LTE (long term evolution) network | |
| CN103398788A (en) | Closed cable temperature information processing method | |
| CN116307583A (en) | Mine safety monitoring system based on unmanned aerial vehicle | |
| CN105627646A (en) | Refrigerating unit and method for monitoring refrigerating unit | |
| CN105391768A (en) | Monitoring system for logistics vehicles and monitoring method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160601 |