CN109785213A - A kind of prediction scheme dissemination method and system according to emergency status dynamic change - Google Patents
A kind of prediction scheme dissemination method and system according to emergency status dynamic change Download PDFInfo
- Publication number
- CN109785213A CN109785213A CN201910056214.3A CN201910056214A CN109785213A CN 109785213 A CN109785213 A CN 109785213A CN 201910056214 A CN201910056214 A CN 201910056214A CN 109785213 A CN109785213 A CN 109785213A
- Authority
- CN
- China
- Prior art keywords
- emergency
- state
- prediction scheme
- status
- change
- 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 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 12
- 238000007726 management method Methods 0.000 claims description 14
- 241001269238 Data Species 0.000 claims description 10
- 238000012512 characterization method Methods 0.000 claims description 2
- 230000004044 response Effects 0.000 abstract description 2
- 239000000463 material Substances 0.000 description 4
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 238000013139 quantization Methods 0.000 description 3
- 238000004880 explosion Methods 0.000 description 2
- 239000002360 explosive Substances 0.000 description 2
- 238000013507 mapping Methods 0.000 description 2
- 206010000369 Accident Diseases 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000002485 combustion reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000003694 hair properties Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 231100000572 poisoning Toxicity 0.000 description 1
- 230000000607 poisoning effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 230000000699 topical effect Effects 0.000 description 1
Abstract
The invention discloses a kind of prediction scheme dissemination methods and system according to emergency status dynamic change, this method comprises the following steps: when emergency relief signal generates, the determining emergency plan to match with emergency, the emergency plan include the spare prediction scheme of emergency under reply different conditions；The state change of real-time monitoring emergency, the matched emergency model of emergency when the state of emergency changes, after the determining variation with generating state；Spare prediction scheme corresponding with the emergency model is searched in the emergency plan, issues the spare prediction scheme found.The present invention can be with the variation of active response emergency, accurately and timely to issue prediction scheme.
Description
Technical field
The present invention relates to network communication technology field, especially a kind of pre- crime according to emergency status dynamic change
Cloth method and system.
Background technique
Urgent emergency event is extremely common in daily life, the emergencies such as fire, traffic accident, typhoon, earthquake
Generation be easy to cause huge Loss of Life and property, and in order to cope with these urgent emergency events, the prior art also occurs
Some emergency rescuing systems, these emergency rescuing systems can be set in advance the prediction scheme of reply emergency, have recorded in prediction scheme
Goods and materials, manpower and rescue mode for participating in rescue etc., in general, being to immobilize with the content in portion prediction scheme.However, urgent
Emergency event has uncertain and unstability, and over time, urgent emergency event can generate many variations.It is this
Variation can be it is of overall importance, for example, typhoon red early warning is downgraded to typhoon orange warning, be also possible to it is local, for example, certain
After earthquake occurs for one urban district, aftershock occurs for a certain place in districts under city administration, it is also possible to associated with each other.Obviously, using fixed
Prediction scheme is not enough to cope with changeable emergency event.
Summary of the invention
The present invention provides a kind of prediction scheme dissemination method and system according to emergency status dynamic change, can actively ring
The variation of emergency is answered, accurately and timely to issue prediction scheme.
According to the first aspect of the invention, the present invention provides a kind of prediction scheme publication according to emergency status dynamic change
Method includes the following steps: when emergency relief signal generates, the determining emergency plan to match with emergency, institute
State the spare prediction scheme that emergency plan includes emergency under reply different conditions；The state of real-time monitoring emergency becomes
Change, the matched emergency mould of emergency when the state of emergency changes, after the determining variation with generating state
Type；Spare prediction scheme corresponding with the emergency model is searched in the emergency plan, what publication was found
Spare prediction scheme.
Preferably, the state change of the real-time monitoring emergency, specifically includes: receiving the characterization of terminal user's feedback
The status data of emergency status, when the emergency status and initial emergency status that the status data is characterized
When different, determine that the state of emergency changes.
Preferably, the state change of the real-time monitoring emergency, specifically includes: receiving what default management user sent
Change emergency status instruction, the status number of the change emergency status instruction comprising the emergency after state change
According to, when receive the change emergency status instruction when, determine that the state of emergency changes.
Preferably, each status data all has scheduled multiple state series, and each status series each defines
The range of corresponding state data.
Preferably, when the jump of state series has occurred in several status datas and the status number of state series jump has occurred
According to quantity be less than predetermined quantity, determine that the local state of emergency changes.
Preferably, when the jump of state series has occurred in multiple status datas and the status data of state series jump has occurred
Quantity be greater than predetermined quantity, determine that emergency integrality changes.
Preferably, further include following steps: the emergency relief signal for receiving default management user, which generates, to be instructed, described in generation
Emergency relief signal.
Preferably, it includes the emergency model to match with emergency, institute that the emergency relief signal, which generates instruction,
The determining emergency plan to match with emergency is stated, specifically includes: determining that the emergency model mapped is tight
Urgent thing part prediction scheme.
According to the second aspect of the invention, the present invention provides a kind of prediction scheme publication according to emergency status dynamic change
System, comprising: prediction scheme determining module, for the urgent thing that when emergency relief signal generates, determining and emergency matches
Part prediction scheme, the emergency plan include the spare prediction scheme of emergency under reply different conditions；State determining module is used for
The state change of real-time monitoring emergency, when the state of emergency changes, after the determining variation with generating state
The matched emergency model of emergency；Prediction scheme release module is used to search in the emergency plan and described tight
The corresponding spare prediction scheme of anxious event model, issues the spare prediction scheme found.
In the present invention, it includes under reply different conditions in prediction scheme that when an emergency occurs, system, which generates corresponding prediction scheme,
The spare prediction scheme of emergency, once the state of emergency changes, system can find emergency after corresponding variation
Spare prediction scheme, and issue the preparation prediction scheme with assist reply emergency.So that prediction scheme with the variation of emergency status and
Dynamically adapting, can be with the variation of active response emergency, accurately and timely to issue prediction scheme.
Detailed description of the invention
Fig. 1 is that the structure of the prediction scheme delivery system of the foundation emergency status dynamic change of an embodiment of the present invention is shown
It is intended to；
Fig. 2 is the process of the prediction scheme dissemination method of the foundation emergency status dynamic change of an embodiment of the present invention
Figure.
Specific embodiment
Before the present invention is specifically described, it is necessary to be illustrated to system according to the present invention.Institute of the present invention
The system being related to includes server 100 and user terminal, as shown in Figure 1, user includes management user 200 and ordinary user 300
Deng.Managing user 200 has certain administration authority, can assign instruction, deploy to system resource, be mapped to real world
In, management user 200 generally can be the leader that emergency is responsible in a certain region, such as Emergency Command portion, city is total
Commander etc., management user are mapped in real world, can be general public.Below by specific embodiment combination attached drawing pair
The present invention is described in further detail.
The embodiment of the present invention provides a kind of prediction scheme dissemination method according to emergency status dynamic change, this method application
In server end, as shown in Fig. 2, it includes the following steps:
S11: when emergency relief signal generates, the determining emergency plan to match with emergency is described urgent
Event prediction scheme includes the spare prediction scheme of emergency under reply different conditions.
Emergency has occurred in the generation expression of emergency relief signal, then system will enter the state of emergency relief.Promptly
Rescue signal can trigger generation or server by specific user and automatically generate according to aid request.Once generating tight
Anxious rescue signal, server need to generate the prediction scheme of reply emergency and issue the prediction scheme in time, the emergency plan packet
Rescue personnel's information of the emergency containing participation needs material information to be used and rescue Action Message.Server is by basis
The corresponding emergency model of emergency determines emergency plan, emergency model include emergency type,
The information such as place, event class, which completes in advance according to emergency model, and is stored in service
In device, emergency plan and emergency model have mapping relations, for different emergency models, have different
Emergency plan, corresponding rescue personnel's information need material information to be used or rescue Action Message that can also generate variation.
Emergency model is defined the status datas such as type, place, event class, the state of corresponding emergency model
Data have certain numberical range or grade, come according to numberical range locating for each status data in emergency or grade true
Emergency model corresponding to the fixed emergency.For example, for event of fire, if it is fire accidents thing that fire is qualitative
Part, then corresponding emergency model is the especially big grade model of fire, if it is small-sized event, corresponding urgent thing that fire is qualitative
Part model is fire bench model, and two kinds of models are naturally different for the goods and materials of participant's quantity, needs.
Meanwhile emergency plan also includes the spare prediction scheme for coping with emergency under different conditions.Spare prediction scheme can be with
The information for recording the part that changes in original prediction scheme can also record the complete prediction scheme letter of reply emergency after state change
Breath, the information that these needs change are the servo-actuated variations according to emergency status.In general, this variation includes emergency
Natural trend over time comprising phase on fire, main combustion period and extinguishes the phase for example, fire is as time goes by.It also include prominent
The quantization variation of hair property, by taking the above-mentioned fire enumerated as an example, the extinguishing phase of fire may occur on fire again, and the intensity of a fire may expand
Greatly, this variation is based on same nature, and only in the variation of grade or local yield, however the property of emergency does not have
It changes, i.e., regardless of intensity of a fire size, still falls within event of fire.It is of course also possible to change comprising relevance, this
Kind relevance variation refers to that the property of emergency changes, but the property of this change and original emergency is closed
Connection.Or by taking fire as an example, in fire process, it may occur however that explosion, and then cause explosive incident, at this point, the property of emergency
Matter is changed, but this variation is relevance.For this reason, it may be necessary to prediction scheme is made in advance to each emergency, and
Comprehensive spare prediction scheme is made according to the variation of emergency status, with spare.
S21: the state change of real-time monitoring emergency determines and occurs when the state of emergency changes
The matched emergency model of emergency after state change.
The state of server real-time detection emergency, to determine whether the state of emergency changes in time, when
After determining that variation has occurred in the state of emergency, the state of the emergency after obtaining variation, the state of this emergency
With the embodiment of multiple status datas.The status data of corresponding emergency model has certain numberical range or grade, foundation
Numberical range locating for each status data or grade determine emergency model corresponding to the emergency in emergency.
S31: searching spare prediction scheme corresponding with the emergency model in the emergency plan, issues institute
The spare prediction scheme found.
According to the model of the emergency after the state change determined, then search corresponding spare prediction scheme, spare prediction scheme
There are mapping relations with the model of emergency, and initial emergency model is corresponded to compared to initial original prediction scheme, spare
Emergency model of the prediction scheme also after corresponding states variation can find generating state change thus according to this corresponding relationship
The corresponding spare prediction scheme of emergency model after change, server will issue the spare prediction scheme and be applicable in the spare prediction scheme, tool
Body, which can be sent to user included in spare prediction scheme by server.
Therefore, no matter emergency is changes locally, overall variation or relevance variation, all has and is corresponding to it
Spare prediction scheme, with the variation repeatedly of emergency status, identical spare prediction scheme can with it is repeated multiple times be applicable in.
Hereafter by server, how the state change of real-time monitoring emergency is specifically described, in a kind of embodiment
In, terminal user can be in real time to the state of server feedback emergency, specifically can in real time will be urgent observed by user
The state of event is quantified in the form of status data, these status datas can be the duration of emergency, be damaged
The quantity of object, the number of casualties, area coverage etc. can be with state grades, damage for that can not carry out the data of digital quantization
Degree etc. is embodied.In order to which more convenient user carries out feedback operation, corresponding feedback interface can provide on the terminal device,
What interface provided status data fills in window, corresponding status data can by option, fill in item etc. in the form of show, selected for user
It selects or fills in.On the one hand, it is filled in convenient for user, on the other hand, is also convenient for server and carries out data statistics.Server will receive
To status data and the status data of original emergency event compare, if there is difference, then assert the shape of emergency
State is changed.Certainly, can be after the status data for obtaining multiple terminal users in order to promote the accuracy of judgement, meter
The average value for calculating status data judges whether the state of emergency is changed according to average value.
In another embodiment, management user has the permission of change emergency status, and management user is determining tight
After the variation of urgent thing part generating state, change emergency status instruction can be sent to server, when server receives the state
After instruction, that is, determine that the state of emergency changes.Wherein, the change emergency status instruction includes state change
The status data of emergency afterwards, these status datas can be edited by managing user, and server is mentioned according to management user again
The status data of confession determines the emergency model after state changes.
In the above-described embodiments, each status data all has scheduled multiple state series, each status series
The range of corresponding state data is each defined, when a certain status data drops into corresponding state series limited range, then
The status data has corresponding state series.The status data that can quantify and be not easy to quantization is all carried out grade by state series
Quantification, this series embody the severity etc. for the emergency status that status data is reflected.Same status data,
Under different emergency models, the number of levels of state series is different, and data area defined by each series also has not
Together.After being quantified by series, can further be promoted judge emergency whether generating state variation accuracy.
Based on this, when the jump of state series has occurred in several status datas and the status number of state series jump has occurred
According to quantity be less than predetermined quantity, determine that the local state of emergency changes.When a certain data are from a state series
Variation is another state series, then assert that series jump has occurred in status data, this jump can be across rank jump, just
To jump or negative sense jump.When fraction data are jumped, often the local state of emergency changes, because
This determines that the local state of emergency is changed after status data meets above-mentioned condition.
Further, when the jump of state series has occurred in multiple status datas and the status number of state series jump has occurred
According to quantity be greater than predetermined quantity, determine that emergency integrality changes.The variation of emergency integrality is often
Be it is of overall importance, may relate to the relevance variation of emergency, the type of emergency may change.
On the basis of the above embodiments, further include following steps before step S11: receiving the urgent thing that user sends
Part aid request, when the number of users for sending emergency aid request in the predetermined time reaches predetermined quantity, described in generation
Emergency relief signal.
Activly request of the present embodiment based on ordinary user and generate emergency relief signal.Once emergency occurs, place
Ordinary user in emergency spot knows the state of emergency at first, and user can issue emergency to server
Aid request, to request to rescue.The emergency aid request may include type, time, place, event of emergency etc.
The information such as grade, casualties, property loss, the type of emergency refer to which kind of emergency specifically has occurred, including fire,
Traffic accident, explosive incident, poisoning, criminal matter etc..System can provide corresponding interactive interface, in the interface, Yong Huke
Typing keyword, the keyword that system will be inputted according to user, and emergency model is determined according to the keyword, it can refer to step
Rapid S11's illustrates, and the keyword of user's input includes certain numerical value or state grade, according to each shape in emergency
Numberical range locating for state data or grade determine emergency model corresponding to the emergency, and then generate and promptly rescue
Help signal.This embodiment will make the generation of emergency relief signal rapider.
User misoperation in order to prevent is additionally arranged the measure of anti-error request.Before generating emergency relief signal, statistics is pre-
The number of users for interior transmission emergency aid request of fixing time, judges whether the quantity reaches predetermined quantity, if the user
Quantity has reached predetermined quantity, then emergency very likely has occurred really, and then execute subsequent operation, otherwise, assert not
Emergency occurs, does not execute subsequent step.The emergency aid request of different user should be directed toward same emergency, tool
Body, the information such as type, when and where of the emergency for including in emergency aid request should be identical.The predetermined number
Amount is different with the type of event, time and/or the difference in place, can be preset according to daily experience, for example, fire occurs
The critical times such as calamity, explosion, impacted user is more, and predetermined quantity is relatively large, for small-sized traffic accident, only accident
Both sides participate in, then predetermined quantity setting is smaller.
In another embodiment, further include following steps before step S11: receiving promptly rescuing for default management user
It helps signal and generates instruction, generate the emergency relief signal.
The present embodiment generates instruction based on the emergency relief signal of predetermined management user and generates emergency relief signal, this is pre-
Surely management user has specific permission, can match to the type of the emergency of generation, grade and with emergency
Emergency model make clear judgement, e.g. the commander in chief of emergency relief command centre or emergency occur
The governmental leading official on ground.The predetermined management user can understand urgent thing according to the alarm of the masses, topical news or other approach
The state of part, and determine the emergency model that emergency matches, to issue emergency relief signal in time.Server will be according to
Emergency plan is determined according to the emergency model that the predesignated subscriber determines.A kind of relatively upper embodiment, this embodiment party
Formula emergency relief signal generated will be more accurate, can effectively prevent reporting by mistake.
According to the second aspect of the invention, the present invention provides a kind of prediction scheme publication according to emergency status dynamic change
System, comprising: prediction scheme determining module, for the urgent thing that when emergency relief signal generates, determining and emergency matches
Part prediction scheme, the emergency plan include the spare prediction scheme of emergency under reply different conditions；State determining module is used for
The state change of real-time monitoring emergency, when the state of emergency changes, after the determining variation with generating state
The matched emergency model of emergency；Prediction scheme release module is used to search in the emergency plan and described tight
The corresponding spare prediction scheme of anxious event model, issues the spare prediction scheme found.
Above-mentioned the illustrating for prediction scheme delivery system according to emergency status dynamic change can refer to according to urgent thing
The embodiment of the prediction scheme dissemination method part of part state dynamic change, specifically repeats no more.
The above content is specific embodiment is combined, further detailed description of the invention, and it cannot be said that this hair
Bright specific implementation is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, it is not taking off
Under the premise of from present inventive concept, a number of simple deductions or replacements can also be made.
Claims (9)
1. a kind of prediction scheme dissemination method according to emergency status dynamic change, which comprises the steps of:
When emergency relief signal generates, the determining emergency plan to match with emergency, the emergency plan
Spare prediction scheme comprising emergency under reply different conditions；
The state change of real-time monitoring emergency, it is determining to change with generating state when the state of emergency changes
The matched emergency model of emergency afterwards；
Spare prediction scheme corresponding with the emergency model is searched in the emergency plan, what publication was found
Spare prediction scheme.
2. the method according to claim 1, wherein the state change of the real-time monitoring emergency, specifically
Include:
The status data for receiving the characterization emergency status of terminal user's feedback, when the urgent thing that the status data is characterized
When part state and initial emergency status difference, determine that the state of emergency changes.
3. the method according to claim 1, wherein the state change of the real-time monitoring emergency, specifically
Include:
The change emergency status instruction that default management user sends is received, the change emergency status instruction includes shape
The status data of emergency after state variation determines emergency when receiving change emergency status instruction
State change.
4. according to the method in claim 2 or 3, it is characterised in that:
Each status data all has scheduled multiple state series, and each status series each defines corresponding state data
Range.
5. according to the method described in claim 4, it is characterized by:
When the quantity that the status data that state series jumped and had occurred the jump of state series has occurred in several status datas is small
In predetermined quantity, determine that the local state of emergency changes.
6. according to the method described in claim 5, it is characterized by:
When the quantity that the status data that state series jumped and had occurred the jump of state series has occurred in multiple status datas is greater than
Predetermined quantity determines that emergency integrality changes.
7. the method according to claim 1, wherein further including following steps: receiving the tight of default management user
Anxious rescue signal generates instruction, generates the emergency relief signal.
8. according to the method described in claim 1, it is characterized by: the emergency relief signal generate instruction include and urgent thing
The emergency plan that the emergency model that part matches, the determination and emergency match, specifically includes: determining institute
State emergency model mapped emergency plan.
9. a kind of prediction scheme delivery system according to emergency status dynamic change characterized by comprising
Prediction scheme determining module is used for when emergency relief signal generates, the determining emergency plan to match with emergency,
The emergency plan includes the spare prediction scheme of emergency under reply different conditions；
State determining module, for the state change of real-time monitoring emergency, when the state of emergency changes, really
The matched emergency model of emergency after the variation of fixed and generating state；
Prediction scheme release module, it is corresponding with the emergency model spare pre- for being searched in the emergency plan
Case issues the spare prediction scheme found.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910056214.3A CN109785213A (en) | 2019-01-22 | 2019-01-22 | A kind of prediction scheme dissemination method and system according to emergency status dynamic change |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910056214.3A CN109785213A (en) | 2019-01-22 | 2019-01-22 | A kind of prediction scheme dissemination method and system according to emergency status dynamic change |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109785213A true CN109785213A (en) | 2019-05-21 |
Family
ID=66501844
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910056214.3A Pending CN109785213A (en) | 2019-01-22 | 2019-01-22 | A kind of prediction scheme dissemination method and system according to emergency status dynamic change |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109785213A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114677061A (en) * | 2022-05-26 | 2022-06-28 | 广东孺子牛地理信息科技有限公司 | GIS-based emergency hierarchical promotion method, system and storage medium |
| CN114819419A (en) * | 2022-06-29 | 2022-07-29 | 北京融信数联科技有限公司 | Emergency command method and system based on big data and readable storage medium |
| CN116992160A (en) * | 2023-09-27 | 2023-11-03 | 长春中医药大学 | Clinical care training emergency plan recommendation method for sanitary event |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741218A (en) * | 2016-03-04 | 2016-07-06 | 公安部道路交通安全研究中心 | Emergency plan generation server, method, system and client |
-
2019
- 2019-01-22 CN CN201910056214.3A patent/CN109785213A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741218A (en) * | 2016-03-04 | 2016-07-06 | 公安部道路交通安全研究中心 | Emergency plan generation server, method, system and client |
Non-Patent Citations (2)
| Title |
|---|
| 杨静等: "应急管理中的突发事件分类分级研究", 《管理评论》 * |
| 蒋浩等: "突发环境污染事件应急预案数字化方法研究", 《计算机技术与发展》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114677061A (en) * | 2022-05-26 | 2022-06-28 | 广东孺子牛地理信息科技有限公司 | GIS-based emergency hierarchical promotion method, system and storage medium |
| CN114819419A (en) * | 2022-06-29 | 2022-07-29 | 北京融信数联科技有限公司 | Emergency command method and system based on big data and readable storage medium |
| CN114819419B (en) * | 2022-06-29 | 2022-09-30 | 北京融信数联科技有限公司 | Emergency command method and system based on big data and readable storage medium |
| CN116992160A (en) * | 2023-09-27 | 2023-11-03 | 长春中医药大学 | Clinical care training emergency plan recommendation method for sanitary event |
| CN116992160B (en) * | 2023-09-27 | 2023-12-12 | 长春中医药大学 | Clinical care training emergency plan recommendation method for sanitary event |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109785213A (en) | A kind of prediction scheme dissemination method and system according to emergency status dynamic change | |
| CN110210696A (en) | A kind of emergency communication Command Management System | |
| CN109447432A (en) | A kind of method, apparatus and equipment of emergency command scheduling | |
| CN110689281A (en) | Artificial intelligence emergency command scheduling system based on 5G Internet of things | |
| CN104346571A (en) | Security vulnerability management method and system and device | |
| CN102999813A (en) | Social unit fire-fighting comprehensive information management platform and implementation method thereof | |
| CN111792487A (en) | Elevator intelligent management system and management method based on big data platform | |
| CN113674123B (en) | Urban emergency command system and method based on big data service | |
| CN114021971A (en) | Comprehensive evaluation system, method and storage medium for expressway operation and maintenance management | |
| CN104599049A (en) | Method and device for gridding managing polices | |
| CN104125085A (en) | EBS (Enterprise Service Bus) data management and control method and device | |
| Claridge et al. | New Zealand fire service response times to structure fires | |
| CN111815275A (en) | Road transportation integrated system | |
| CN113435745B (en) | 5G-based personnel task execution state monitoring method and system | |
| CN116596281B (en) | Lightweight three-dimensional property management system | |
| CN104077668A (en) | Emergency meeting rescue and security basic information management system | |
| CN113946464B (en) | Alarm noise reduction method combining model and experience pre-training and parallel deduction | |
| CN115545536A (en) | Service fusion method and device, electronic equipment and storage medium | |
| AU2019101668A4 (en) | System and method for acquiring and processing social risk information | |
| CN112446619B (en) | Power distribution network rush-repair processing method and device | |
| CN113628429A (en) | Emergency help-seeking method and system based on 5G communication | |
| CN103297761B (en) | Monitoring method and system for video analysis | |
| CN111160780A (en) | Dispatching robot and dispatching method | |
| Long et al. | Emergency accident rescue system in freeway based on GIS | |
| CN115310833B (en) | Electrochemical energy storage container accident analysis method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for 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: 20190521 |