CN112348367A - Grid digital city management method and system - Google Patents
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Abstract
The application provides a gridding digital city management method and a gridding digital city management system, wherein the method comprises the following steps: acquiring description data, event processing state data and event processing result data of the emergency dangerous events in pre-divided grid units; dividing the emergency dangerous events in the single grid unit into a plurality of groups of associated events according to the description data of the emergency dangerous events; calculating coping toughness values of all processed emergency dangerous events in the associated events; acquiring event processing result data and used emergency resource data of emergency dangerous events with toughness values lower than a preset threshold in each group of associated events; and adding emergency resources for the unprocessed emergency dangerous events in the group of related events according to the event processing result data and the used emergency resource data. The method and the device analyze the processing condition of the processed emergency dangerous events to obtain the shortage of resources in the existing urban management process, and supplement emergency resources according to the shortage of the existing resources.
Description
Technical Field
The present application relates to the field of mobile communications technologies, and in particular, to a grid digital city management method and system.
Background
In the current internet technology, a 'digital city' is widely popularized and used, and the digital city management gradually draws high attention and attention globally. After that, experts and scholars in foreign academic circles develop research on the subject, develop a digital city management system with higher modernization and informatization degree on the basis of continuously summarizing current experience and combining with the actual work content demand of digital city management, and play an important role in promoting social progress and improving the work efficiency of city management. Compared with foreign countries, the research in this aspect is started late in China, and the system is still in a relatively lagged position in the aspects of system design and platform development. Particularly, as the economy of China moves into the steady stage of sustainable development, how to improve the urban modern management level is a problem still to be solved.
The existing resources for dealing with the emergency dangerous events in the urban management process comprise an urban disaster prevention facility system, an environmental protection system, a health care system and the like, however, sufficient resources are not reserved for the emergency dangerous events, so that the resource distribution is not uniform when the emergency dangerous events happen, the emergency dangerous events cannot be handled as soon as possible, and great economic loss is caused, and therefore, sufficient development space is reserved in urban planning, which is favorable for continuous improvement of the urban management system.
Disclosure of Invention
The method analyzes the processing condition of the processed emergency dangerous event to obtain the shortage of resources in the existing urban management process, and supplements emergency resources according to the shortage of the existing resources.
In order to achieve the above object, the present application provides a grid digital city management method, including: acquiring description data, event processing state data and event processing result data of the emergency dangerous events in pre-divided grid units; the event processing state data comprises a processed state and an unprocessed state; dividing the emergency dangerous events in the single grid unit into a plurality of groups of associated events according to the description data of the emergency dangerous events; calculating coping toughness values of all processed emergency dangerous events in the associated events according to event processing result data of the associated events; acquiring event processing result data and used emergency resource data of emergency dangerous events with toughness values lower than a preset threshold in each group of associated events; and according to event processing result data and used emergency resource data of the emergency dangerous events with the toughness value lower than the preset threshold in the single group of related events, adding emergency resources for the unprocessed emergency dangerous events in the group of related events.
As above, wherein the emergency hazardous event is in a processed completion state includes being in a prevention phase, a preparation phase, a response coping phase and a recovery reconstruction phase.
The above, wherein, according to the description data of the emergency dangerous events, the correlation value between the emergency dangerous events in the single grid unit is calculated, and the emergency dangerous events with the correlation value larger than the preset correlation strength value in the single grid unit are taken as the correlation events.
As above, wherein the formula for calculating the correlation value of two emergency risk events within a single grid cell is:
wherein, X12A correlation value representing two emergency hazard events; epsilon represents an important factor for elements of an emergency hazard event; alpha representing an emergency dangerous eventA fourth element; qαA weight representing the alpha-th element of the emergency hazard event; a represents the total number of elements of the emergency event; sαA correlation value representing an alpha-th element of an emergency hazard event; delta T12A difference representing the total length of time that two emergency events occurred; delta TqiA difference value representing the time points of occurrence of the two emergency events; beta represents two important factors of the source of the emergency dangerous event; y issuA source-related value indicative of an emergency hazard event; (x1, y1) coordinates representing a first emergency dangerous event; (x2, y2) indicates the coordinates of the second emergency event.
As above, among other things, the elements of the emergency hazard event include: type, behavioral subject, victim, venue, and area of range.
As above, wherein the source-related value Y of the emergency event issuThe calculation formula of (a) is as follows:
wherein k represents the causative element of the first few emergencies; k represents the total number of the reason elements causing the emergency dangerous event; u. ofkAn importance value representing a cause element of a kth emergency hazard event; r iskIndicating the degree of correspondence of the k-th causative element of the emergency hazard event.
As above, the formula for calculating the toughness value of the emergency event is as follows:
wherein R represents a toughness value corresponding to an emergency dangerous event; wiRepresents the weight of the ith stage; fiRepresents the toughness value of the ith stage; n represents the total number of stages in processing the emergency hazard data.
As above, based on the three-dimensional geographic information system, the urban space is divided in advance by taking streets as grid cells, that is, each street is divided into one grid cell.
As above, the description data of the emergency dangerous event includes location coordinates of the place of the event, the time point and duration of the event, the type of the event, the photograph taken in the scene, and the image data, among others.
The present application further provides a grid digital city management system, which includes: the data center is used for acquiring description data, event processing state data and event processing result data of the emergency dangerous events in the pre-divided grid units; wherein the event processing state data comprises a processed state and an unprocessed state; the correlated event regression module is used for dividing the emergency dangerous events in the single grid unit into a plurality of groups of correlated events according to the description data of the emergency dangerous events; the data processing and analyzing module is used for calculating coping toughness values of all processed emergency dangerous events in the related events according to the event processing result data of the related events; the acquisition module is used for acquiring event processing result data and used emergency resource data of emergency dangerous events with toughness values lower than a preset threshold value in each group of associated events; and the emergency resource optimization module is used for increasing emergency resources for the unprocessed emergency dangerous events in the single group of related events according to the event processing result data and the used emergency resource data of the emergency dangerous events with the toughness values lower than the preset threshold in the single group of related events.
The beneficial effect that this application realized is as follows:
(1) the method and the device analyze the processed relevant data of the emergency dangerous event, find the shortages of resources in the existing urban management process, and supplement the corresponding resources according to the shortages of the resources in the existing urban management process, so that the capabilities of finding, disposing and solving problems in the urban management process are improved, and the urban problem is effectively solved.
(2) According to the method and the system, the streets of the city are divided into grid units, the emergency dangerous events in the grid units are used as analysis objects, and the analysis efficiency and the analysis accuracy of the use resource conditions of the emergency dangerous events are improved.
(3) The method and the system change the past management mode of passively coping with the problems into the mode of actively finding and solving the problems, digitalize the urban management means, ensure the agility, accuracy and high efficiency of urban management, and improve the capacity and level of urban management.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a flowchart of a grid digital city management method according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for acquiring relevant data of each group of related events for handling an emergency hazard event with a toughness value lower than a preset threshold according to an embodiment of the present application.
FIG. 3 is a flowchart illustrating a method for adding emergency resources to an unprocessed emergency event in a correlated event according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of a grid digital city management system according to an embodiment of the present application.
Reference numerals: 10-a data center; 20-a correlated event regression module; 30-a data processing and analyzing module; 40-an acquisition module; 50-emergency resource optimization module; 100-grid digital city management system.
Detailed Description
The technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Example one
As shown in fig. 1, the present application provides a grid digital city management method, which includes the following steps:
step S1, obtaining description data, event processing status data and event processing result data of the emergency dangerous event in the grid cells divided in advance.
Based on a three-dimensional geographic information system, the urban space is divided by taking streets as grid units in advance, namely, each street is divided into one grid unit.
The description data of the emergency dangerous event includes location coordinates of an event place, a time point and a duration of the event, a type of the event, a photograph taken in the scene, image data, text or voice description of the event, and the like.
Wherein the event processing state data comprises: the emergency hazard event is in a condition of being processed or not. The emergency hazardous event is in a processed and completed state including a prevention phase, a preparation phase, a response-responding phase and a recovery-reestablishing phase.
Wherein the event processing result data includes: the emergency dangerous event processes result data in a prevention phase, a preparation phase, a response coping phase and a recovery reconstruction phase.
Step S2, dividing the emergency events in a single grid cell into multiple groups of related events according to the description data of the emergency events.
Specifically, according to the description data of the emergency dangerous events, correlation values among the emergency dangerous events in a single grid unit are calculated, and the emergency dangerous events with the correlation values larger than a preset correlation strength value in the single grid unit are used as the correlation events.
The formula for calculating the correlation value of two emergency dangerous events in a single grid unit is as follows:
wherein, X12A correlation value representing two emergency hazard events; epsilon represents an important factor for elements of an emergency dangerous event(ii) a α represents the fifth element of an emergency hazard event; qαA weight representing the alpha-th element of the emergency hazard event; the sum of the weights of all elements of the emergency hazard event is 1; a represents the total number of elements of the emergency event; sαA correlation value representing an alpha-th element of an emergency hazard event; delta T12A difference representing the total length of time that two emergency events occurred; delta TqiA difference value representing the time points of occurrence of the two emergency events; beta represents two important factors of the source of the emergency dangerous event; y issuA source-related value indicative of an emergency hazard event; (x1, y1) coordinates representing a first emergency dangerous event; (x2, y2) coordinates representing a second emergency risk event; the sum of epsilon and beta is 1.
Wherein the elements of the emergency event include: type, behavioral subject, victim, venue, area of range, etc.
If the characteristics of the elements of the emergency dangerous event are consistent, the associated value S of the elementsαEqual to 100, if the features of an element of an emergency risk event are not identical, the value S associated with this elementαEqual to 100 minus the difference value of the feature.
According to an embodiment of the present invention, if the type elements are consistent, the association value of the type element is 100, otherwise, the association value of the type element is 0. The calculation formula of the associated value of the behavior subject object element is as follows:
wherein h represents the total number of acting subject objects in the two emergency events; h isbuRepresenting the total number of behavioural subject objects in the two emergency events that are not the same. Similarly, the correlation value of the victim is consistent with the calculation method of the behavior subject object element. If the types of the generating places are consistent, the associated value of the generating place element is 100, otherwise, the associated value of the generating place element is 0. The associated value calculation formula of the range area element is as follows:
wherein S is1Indicating a first emergency hazardThe area of the member involved; s2Indicating the area involved in the second emergency event; s1+2Representing the sum of the areas involved in two emergency events.
Wherein the source-related value Y of the emergency eventsuThe calculation formula of (a) is as follows:
wherein k represents the causative element of the first few emergencies; k represents the total number of the reason elements causing the emergency dangerous event; u. ofkAn importance value representing a cause element of a kth emergency hazard event; r iskIndicating the consistency of the cause element of the kth emergency dangerous event; if the k-th cause factor of the two dangerous emergencies is consistentkEqual to 100, otherwise, a degree of agreement rkEqual to 0.
Step S3 is to calculate coping toughness values of all processed emergency dangerous events in the related event according to the event processing result data of the related event. Wherein the coping toughness value represents a comprehensive evaluation value for coping with the risk impact of the emergency and restoring the original state.
Specifically, the calculation formula of the coping toughness value of the emergency dangerous event is as follows:
wherein R represents the coping toughness value of the emergency dangerous event; wiRepresents the weight of the ith stage; fiRepresents the toughness value of the ith stage; n represents the total number of stages in processing the emergency hazard data.
Wherein the toughness value F of the ith stageiThe calculation formula of (a) is as follows:
qja weight indicating a jth evaluation index; m represents the number of jth evaluation indexes of the ith stage; y isjA score representing a jth evaluation index at the ith stage; t is tiRepresents the time spent in the ith stage; t isiRepresenting the maximum time limit value allowed for the ith stage.
As a specific embodiment of the present invention, the evaluation indexes are preset, the scores of the evaluation indexes are automatically calculated by an automatic scoring model according to the processed result data of the processed emergency event, and the automatic scoring model scores the completion of each evaluation index according to the processed result data of the processed emergency event.
As an embodiment of the present invention, the evaluation index is preset, and the score of the evaluation index is obtained by the manager according to the processed data of the processed emergency dangerous event.
And step S4, acquiring event processing result data and used emergency resource data of emergency dangerous events with toughness values lower than a preset threshold value in each group of associated events, and respectively storing the data and the used emergency resource data into different data storage areas.
As shown in fig. 2, the method for acquiring the relevant data for handling the emergency dangerous event with the toughness value lower than the preset threshold value in each set of associated events in step S4 includes the following sub-steps:
step S410, emergency dangerous events with the corresponding toughness value lower than a preset threshold value in each group of associated events are obtained and serve as the emergency dangerous events to be analyzed.
Step S420, obtaining the event processing result data of the emergency event to be analyzed and the used emergency resource data.
Step S430, storing the acquired event processing result data of the emergency dangerous events to be analyzed belonging to the same group of related events and the used emergency resource data in the same data storage area.
Step S5, according to the event processing result data and the used emergency resource data of the emergency dangerous events with the toughness value lower than the preset threshold value in the single group of related events, adding emergency resources for the unprocessed emergency dangerous events in the group of related events.
As shown in FIG. 3, the method for adding emergency resources for an unprocessed emergency threat event in an associated event in step S5 includes the substeps of:
step S510, obtaining the event processing result data of the emergency event stored in the same data storage area.
Step S520, extracting the processing time of different emergency events in the event processing result data in the processing stages, such as the prevention stage, the preparation stage, the response stage, and the recovery and reconstruction stage.
Step S530, comparing the acquired processing time with a preset standard time, and acquiring the emergency dangerous event with the processing time exceeding the preset standard time and a corresponding processing stage as the to-be-optimized processing stage.
And step S540, acquiring the processing duration and the emergency use resources corresponding to the to-be-optimized processing stage stored in the data storage area.
And step S550, adding emergency resources with equal proportion to the corresponding associated events according to the proportion that the processing time of the to-be-optimized processing stage exceeds the preset standard time.
The emergency resources include: space resources, emergency equipment resources, emergency personnel allocation quantity, emergency fund reserves, medical rescue resources and the like.
The space resources comprise parks, greening and the like to provide disaster prevention and refuge spaces, and when necessary, a reasonable evacuation site system is constructed by using stadiums, universities and other large spaces including underground spaces.
The emergency equipment resources comprise communication equipment, vehicles, lighting equipment, protective equipment, fire fighting equipment, reconnaissance equipment, emergency power equipment and the like.
And step S6, acquiring event processing result data and used emergency resource data of the emergency dangerous events with the toughness values higher than the preset threshold value, and sharing the acquired data so as to allow managers to adopt good emergency measures and accumulate experiences.
Example two
As shown in fig. 4, the present application provides a grid digital city management system 100, which includes:
the data center 10 is used for acquiring description data, event processing state data and event processing result data of the emergency dangerous events in the grid cells which are divided in advance; wherein the event processing state data comprises a processed state and an unprocessed state;
the correlated event regression module 20 is configured to divide the emergency events in a single grid cell into multiple groups of correlated events according to the emergency event description data;
the data processing and analyzing module 30 is configured to calculate coping toughness values of all processed emergency dangerous events in the associated event according to event processing result data of the associated event;
the acquisition module 40 is configured to acquire event processing result data and used emergency resource data of each group of associated events corresponding to the emergency dangerous events with the toughness values lower than the preset threshold;
and the emergency resource optimization module 50 is configured to add emergency resources to the unprocessed emergency dangerous events in the single group of related events according to the event processing result data and the used emergency resource data of the emergency dangerous events with the toughness values lower than the preset threshold in the single group of related events.
The beneficial effect that this application realized is as follows:
(1) the method and the device analyze the processed relevant data of the emergency dangerous event, find the shortages of resources in the existing urban management process, and supplement the corresponding resources according to the shortages of the resources in the existing urban management process, so that the capabilities of finding, disposing and solving problems in the urban management process are improved, and the urban problem is effectively solved.
(2) According to the method and the system, the streets of the city are divided into grid units, the emergency dangerous events in the grid units are used as analysis objects, and the analysis efficiency and the analysis accuracy of the use resource conditions of the emergency dangerous events are improved.
(3) The method and the system change the past management mode of passively coping with the problems into the mode of actively finding and solving the problems, digitalize the urban management means, ensure the agility, accuracy and high efficiency of urban management, and improve the capacity and level of urban management.
The above description is only an embodiment of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A gridding digital city management method is characterized by comprising the following steps:
acquiring description data, event processing state data and event processing result data of the emergency dangerous events in pre-divided grid units; the event processing state data comprises a processed state and an unprocessed state;
dividing the emergency dangerous events in the single grid unit into a plurality of groups of associated events according to the description data of the emergency dangerous events;
calculating coping toughness values of all processed emergency dangerous events in the associated events according to event processing result data of the associated events;
acquiring event processing result data and used emergency resource data of emergency dangerous events with toughness values lower than a preset threshold in each group of associated events;
and according to event processing result data and used emergency resource data of the emergency dangerous events with the toughness value lower than the preset threshold in the single group of related events, adding emergency resources for the unprocessed emergency dangerous events in the group of related events.
2. The grid-based digital city management method according to claim 1, wherein the emergency dangerous event being in a processed state comprises being in a prevention phase, a preparation phase, a response-responding phase and a recovery and reconstruction phase.
3. The grid-based digital city management method according to claim 1, wherein correlation values between the emergency dangerous events in the individual grid cells are calculated according to the description data of the emergency dangerous events, and the emergency dangerous events with correlation values greater than a preset correlation strength value in the individual grid cells are taken as the correlation events.
4. The grid-based digital city management method according to claim 3, wherein the formula for calculating the correlation value between two emergency dangerous events in a single grid cell is:
wherein, X12A correlation value representing two emergency hazard events; epsilon represents an important factor for elements of an emergency hazard event; α represents the fifth element of an emergency hazard event; qαA weight representing the alpha-th element of the emergency hazard event; a represents the total number of elements of the emergency event; sαA correlation value representing an alpha-th element of an emergency hazard event; delta T12A difference representing the total length of time that two emergency events occurred; delta TqiA difference value representing the time points of occurrence of the two emergency events; beta represents two important factors of the source of the emergency dangerous event; y issuA source-related value indicative of an emergency hazard event; (x1, y1) coordinates representing a first emergency dangerous event; (x2, y2) indicates the coordinates of the second emergency event.
5. The grid-enabled digital city management method according to claim 4, wherein the elements of the emergency event include: type, behavioral subject, victim, venue, and area of range.
6. The grid-based digital city management method according to claim 4, wherein the source-related value Y of the emergency dangerous eventsuThe calculation formula of (a) is as follows:
wherein k represents the causative element of the first few emergencies; k represents the total number of the reason elements causing the emergency dangerous event; u. ofkAn importance value representing a cause element of a kth emergency hazard event; r iskIndicating the degree of correspondence of the k-th causative element of the emergency hazard event.
7. The grid-based digital city management method according to claim 1, wherein the calculation formula of the toughness value for emergency dangerous events is as follows:
wherein R represents a toughness value corresponding to an emergency dangerous event; wiRepresents the weight of the ith stage; fiRepresents the toughness value of the ith stage; n represents the total number of stages in processing the emergency hazard data.
8. The digital city management method according to claim 1, wherein the city space is divided into grid cells by streets in advance based on a three-dimensional geographic information system, that is, each street is divided into one grid cell.
9. The grid-based digital city management method according to claim 1, wherein the description data of the emergency dangerous event comprises location coordinates of an event place, a time point and a duration of the event, a type of the event, a photograph taken in the scene, and image data.
10. A meshed digital city management system, performing the method of any one of claims 1-9, the system comprising:
the data center is used for acquiring description data, event processing state data and event processing result data of the emergency dangerous events in the pre-divided grid units; wherein the event processing state data comprises a processed state and an unprocessed state;
the correlated event regression module is used for dividing the emergency dangerous events in the single grid unit into a plurality of groups of correlated events according to the description data of the emergency dangerous events;
the data processing and analyzing module is used for calculating coping toughness values of all processed emergency dangerous events in the related events according to the event processing result data of the related events;
the acquisition module is used for acquiring event processing result data and used emergency resource data of emergency dangerous events with toughness values lower than a preset threshold value in each group of associated events;
and the emergency resource optimization module is used for increasing emergency resources for the unprocessed emergency dangerous events in the single group of related events according to the event processing result data and the used emergency resource data of the emergency dangerous events with the toughness values lower than the preset threshold in the single group of related events.
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