CN112633661A - BIM-based emergency dispatching command method, system, computer equipment and readable medium - Google Patents
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Abstract
The invention discloses a BIM-based emergency dispatching command method, a BIM-based emergency dispatching command system, computer equipment and a readable medium, and belongs to the field of emergency dispatching. The emergency dispatching command method comprises the following steps: establishing an emergency case base based on a plurality of emergency cases; acquiring an early warning signal of an emergency event; determining the closest case in an emergency case library according to the early warning signal; determining the similarity between the emergency event and the closest case; when the similarity is greater than the threshold value, obtaining an emergency plan by a CBR method, otherwise, obtaining the emergency plan by an RBR method; establishing a three-dimensional model through a BIM technology; and applying the emergency plan to the three-dimensional model to carry out dispatching and commanding on emergency events. The emergency dispatching command method provided by the invention applies the BIM technology, realizes accurate three-dimensional visualization of the emergency plan, shortens the response time of the emergency plan and improves the rescue efficiency.
Description
Technical Field
The invention belongs to the field of emergency dispatching, and particularly relates to a BIM-based emergency dispatching command method, system, computer equipment and readable medium.
Background
The subway is one of urban traffic, and compared with the transportation means such as public transport, tramcar, taxi, it has the particularity of operation geographic space and the restriction of operation route.
Compared with the road surface, the subway station is difficult to rescue and has influence on the subway operation of the whole line when the fault occurs. The conventional subway emergency dispatching command system is mainly based on a three-dimensional real-scene technology (VR), captures image information of a whole scene through a professional camera, uses software to split pictures, and plays the pictures by using a special player, namely, a plane photograph and a computer are changed into a 360-degree full-view (Panoramic) landscape for virtual reality browsing.
However, although the method can realize three-dimensional layer visualization, due to image processing errors, shooting camera errors and the like, the method is difficult to achieve the accurate position of the corresponding equipment structure in the subway space, so that the method cannot grasp the site conditions and the directions of rescuers and materials in real time and quickly make an emergency plan, and further has low rescue efficiency.
Disclosure of Invention
In view of the above defects or improvement requirements of the prior art, the present invention provides a method, a system, a computer device and a readable medium for emergency dispatch command based on BIM, which aims to improve rescue efficiency, thereby solving the technical problem of low rescue efficiency.
In a first aspect, the present invention provides a BIM-based emergency dispatch command method, including:
establishing an emergency case base based on a plurality of emergency cases;
acquiring an early warning signal of an emergency event;
determining a closest case in the emergency case library according to the early warning signal;
determining the similarity between the emergency event and the closest case;
when the similarity is larger than a threshold value, obtaining an emergency plan by a CBR method, otherwise, obtaining the emergency plan by an RBR method;
establishing a three-dimensional model through a BIM technology based on the field structure, rescue goods and materials, rescue personnel and corresponding three-dimensional coordinate information of the emergency event;
and applying the emergency plan to the three-dimensional model, and carrying out dispatching and commanding on the emergency event.
Optionally, the acquiring an early warning signal of an emergency event includes:
collecting data of the emergency event, wherein the data comprises monitoring data and coordinate data;
and when the data do not meet the preset conditions, taking the data as the early warning signal.
Optionally, the monitoring data is collected by one or more of a monitoring sensor, a surveillance camera or development data in the emergency event.
Optionally, the determining the similarity between the emergency event and the closest case includes:
preprocessing the emergency event based on the closest case to respectively obtain primary weight values of a plurality of feature data in the emergency event;
and calculating a secondary weight value of the emergency event based on the primary weight values of the plurality of feature data, wherein the secondary weight value is the similarity between the emergency event and the closest case.
Optionally, the calculating a secondary weight value of the emergency event includes:
and summing the primary weight values of the plurality of feature data to determine a secondary weight value of the emergency event.
Optionally, after obtaining the emergency plan, the emergency dispatching and commanding method further includes:
structuring the emergency plan to obtain an emergency flow and an emergency module, wherein the emergency module comprises rescue personnel and rescue substances;
and displaying the emergency module in the three-dimensional model according to a GIS system.
Optionally, the threshold is 80%.
In a second aspect, the present invention provides a BIM-based emergency dispatch command system, including:
the emergency case library module is used for establishing an emergency case library based on a plurality of emergency cases;
the early warning signal module is used for acquiring an early warning signal of an emergency event;
the closest case module is used for finding the closest case in the emergency case library case through a CBR method according to the early warning signal;
the similarity judging module is used for determining the similarity between the emergency event and the closest case;
the method selection module is used for obtaining an emergency plan through a CBR method when the similarity is larger than a threshold value, and otherwise, obtaining the emergency plan through an RBR method;
the three-dimensional model module is used for establishing a three-dimensional model through a BIM technology based on the field structure, rescue goods and materials, rescue personnel and corresponding three-dimensional coordinate information of the emergency event;
and the dispatching command module is used for dispatching and commanding the emergency event according to the emergency plan and the three-dimensional model.
In a third aspect, the present invention provides a computer device comprising at least one processing unit and at least one memory unit, wherein the memory unit stores a computer program, which, when executed by the processing unit, causes the processing unit to perform the steps of the conforming emergency method of the first aspect.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program executable by a computer device, the computer program, when run on the computer device, causing the computer device to perform the steps of the conforming emergency method of the first aspect.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
for the BIM-based emergency scheduling and commanding method provided by the embodiment of the invention, when an emergency event is handled, firstly, an emergency case base is established based on a plurality of emergency cases, and the emergency case base is a database, so that the closest case can be conveniently determined subsequently. And then, acquiring early warning signals of the emergency events, and comparing the specific data of the early warning signals with the specific data in each emergency case in the emergency case library by a method. Then, according to the early warning signal, the closest case is found in the emergency case library cases, and the emergency plan can be determined on the basis of the closest case. Next, the similarity of the emergency event and the closest case is determined. When the similarity is greater than the threshold value, the emergency plan is obtained through the CBR method, otherwise, the emergency plan is obtained through the RBR method, so that the complementation of the CBR method and the RBR method is realized, the closest emergency plan is determined, the obtained emergency plan is more accurate and matched, and the response time of the emergency plan is shortened. And then, based on the site structure of the emergency, the rescue goods and materials, the rescue workers and the corresponding three-dimensional coordinate information, a three-dimensional model is established through the BIM technology, so that the structure of the whole emergency site and the directions of the rescue goods and materials and the rescue workers can be mastered in real time according to the visual characteristics of the three-dimensional model established through the BIM technology, and subsequent dispatching and commanding are facilitated. And finally, the emergency plan is applied to the three-dimensional model, and dispatching and commanding are carried out on the emergency events, so that the rescue efficiency can be greatly improved according to the visualization of the three-dimensional model and the emergency plan.
That is to say, the emergency dispatching command method provided by the invention can carry out intelligent matching and reasoning on the emergency plan, and the BIM technology is applied to realize accurate three-dimensional visualization of the emergency plan, thereby shortening the response time of the emergency plan and improving the rescue efficiency.
Drawings
FIG. 1 is a flow chart of the CBR method provided in the present embodiment;
FIG. 2 is a flowchart illustrating an RBR method according to the present embodiment;
fig. 3 is a flowchart of a BIM-based emergency dispatch command method according to this embodiment;
FIG. 4 is a flowchart of another BIM-based conforming emergency method provided in this embodiment;
fig. 5 is a BIM-based emergency dispatch command system provided in this embodiment.
The symbols in the drawings represent the following meanings:
1. an emergency case library module; 2. an early warning signal module; 3. a closest case module; 4. a similarity determination module; 5. a method selection module; 6. a three-dimensional model module; 7. and a dispatching command module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
For a better understanding of the present invention, the CBR method and the RBR method will now be described:
fig. 1 is a flowchart of the CBR method provided in this embodiment, and as shown in fig. 1, the CBR method (case inference) determines the warning information when the warning information is received, enters a case library for case search, and determines whether the searched case can be reused. If the case can be reused, outputting the case; if the case can not be reused, the case is modified and saved into a new case and saved into a case base, and the case base is queried again until an available case is queried.
Fig. 2 is a flowchart of the RBR method provided in this embodiment, and as shown in fig. 2, the RBR method (rule inference) combines the knowledge base, the database, and the warning information, enters a method flow, determines whether the feasible draft is feasible after a new draft is generated, outputs the feasible draft as an emergency plan, and continues to determine until feasible after being unsuccessfully modified.
That is, the CBR method mainly finds the case with the closest similarity in the case base, selects the most suitable case for reference, and applies the most suitable case to solve the new problem (i.e., obtain the emergency plan). The RBR method is continuously perfected through a complex method mechanism to generate an emergency plan.
Fig. 3 is a flowchart of a method for commanding emergency dispatch based on BIM according to this embodiment, and as shown in fig. 3, the method for commanding emergency dispatch includes:
s301, establishing an emergency case base based on a plurality of emergency cases.
S302, acquiring an early warning signal of the emergency event.
S303, determining the closest case in the emergency case library according to the early warning signal.
S304, determining the similarity between the emergency event and the closest case.
S305, when the similarity is larger than a threshold value, obtaining an emergency plan through a CBR method, otherwise, obtaining the emergency plan through an RBR method.
S306, building a three-dimensional model through a BIM technology based on the field structure of the emergency, rescue goods and materials, rescue workers and corresponding three-dimensional coordinate information.
And S307, applying the emergency plan to the three-dimensional model, and carrying out dispatching command on emergency events.
For the BIM-based emergency scheduling and commanding method provided by the embodiment of the invention, when an emergency event is handled, firstly, an emergency case base is established based on a plurality of emergency cases, and the emergency case base is a database, so that the closest case can be conveniently determined subsequently. And then, acquiring early warning signals of the emergency events, and comparing the specific data of the early warning signals with the specific data in each emergency case in the emergency case library by a method. Then, according to the early warning signal, the closest case is found in the emergency case library cases, and the emergency plan can be determined on the basis of the closest case. Next, the similarity of the emergency event and the closest case is determined. When the similarity is greater than the threshold value, the emergency plan is obtained through the CBR method, otherwise, the emergency plan is obtained through the RBR method, so that the complementation of the CBR method and the RBR method is realized, the closest emergency plan is determined, the obtained emergency plan is more accurate and matched, and the response time of the emergency plan is shortened. And then, based on the site structure of the emergency, the rescue goods and materials, the rescue workers and the corresponding three-dimensional coordinate information, a three-dimensional model is established through the BIM technology, so that the structure of the whole emergency site and the directions of the rescue goods and materials and the rescue workers can be mastered in real time according to the visual characteristics of the three-dimensional model established through the BIM technology, and subsequent dispatching and commanding are facilitated. And finally, the emergency plan is applied to the three-dimensional model, and dispatching and commanding are carried out on the emergency events, so that the rescue efficiency can be greatly improved according to the visualization of the three-dimensional model and the emergency plan.
That is to say, the emergency dispatching command method provided by the invention can carry out intelligent matching and reasoning on the emergency plan, and the BIM technology is applied to realize accurate three-dimensional visualization of the emergency plan, thereby shortening the response time of the emergency plan and improving the rescue efficiency.
It should be noted that the BIM technology is based on various relevant information data of the construction engineering project as a model, and establishes a three-dimensional model, and simulates real information of a building through digital information simulation. That is to say, on the basis of the BIM technology, a visual three-dimensional model can be obtained, and characteristics such as the coordination of a station space structure, engineering scale and environment can be reflected.
Fig. 4 is a flowchart of another BIM-based emergency dispatch commanding method provided in this embodiment, and as shown in fig. 4, the emergency dispatch commanding method includes:
s401, establishing an emergency case base based on a plurality of emergency cases.
S402, collecting data of the emergency event.
In step S402, the data includes monitoring data and coordinate data.
In this embodiment, the monitoring data is collected by one or more of a monitoring sensor, a surveillance camera, or development data in an emergency event.
In the above embodiments, monitoring sensors, surveillance cameras, or development data can be performed in real time to monitor the field.
Illustratively, detecting sensors and developing data enables real-time acquisition of corresponding data. The monitoring camera can analyze and identify the video file through the background algorithm server, so as to generate corresponding signals. For example, when the monitoring camera recognizes a danger such as a fall or a boundary crossing of the passenger, an early warning signal is generated.
And S403, when the data do not meet the preset condition, taking the data as an early warning signal.
S404, determining the closest case in the emergency case library according to the early warning signal.
In the embodiment, the closest case is determined by the CBR method, that is, the closest case is found by CBR search, so that the efficiency of determining the closest case can be improved.
S405, preprocessing the emergency event based on the closest case to respectively obtain primary weight values of a plurality of feature data in the emergency event.
In the above embodiment, the primary weight value of each feature data is a matching degree (which may be set manually according to a region) with the corresponding feature data in the closest case, so that the overall weight value of the emergency event, that is, the similarity may be obtained by calculating the primary weight values of a plurality of feature data.
It should be noted that, a plurality of feature data for determining an emergency event are preprocessed and compared with the corresponding feature data in the closest case, so as to obtain a primary weight value of each feature data.
In this embodiment, the feature data includes water depth, temperature, pressure, early warning threshold, equipment failure data, and the like, so as to determine the type and degree of the emergency event, and determine the primary weight value of each feature data by comparing with the closest case.
S406, calculating a secondary weight value of the emergency event based on the primary weight values of the plurality of feature data, wherein the secondary weight value is the similarity between the emergency event and the closest case.
In this embodiment, the primary weight values of the plurality of feature data are summed, so as to determine the whole secondary weight value of the emergency event.
And S407, when the similarity is greater than a threshold value, obtaining an emergency plan by a CBR method, otherwise, obtaining the emergency plan by an RBR method.
In the present embodiment, the threshold is 80%.
Illustratively, when the similarity between the emergency event and the closest case is greater than 80%, the emergency plan is obtained by the CBR method (paradigm reasoning). And when the similarity between the emergency event and the nearest case is less than 80%, obtaining an emergency plan by an RBR method (rule reasoning).
The emergency plan is based on a CBR + RBR method, the disaster type is judged by receiving an early warning signal, firstly, the CBR method is adopted, whether similar cases are processed or not is searched in a case library, and if the similar cases are found and the case threshold value also meets the requirement, the processing method of the found cases is output, so that reference is provided for the emergency plan formulation. Otherwise, if no suitable reference case is found under the condition of the maximum tolerance (namely, the threshold value is the highest), the initial condition is input into the RBR system and the required emergency plan is obtained by applying the rule reasoning.
That is, the CBR method and the RBR method can complement each other by combining the simplicity and convenience of the CBR method and the rapidness and the high efficiency of the RBR method, so that the generated emergency plan can be accurate and effective.
S408, structuring the emergency plan to obtain an emergency flow and an emergency module.
In step S408, the emergency module includes rescue personnel and rescue material.
In the above embodiment, the emergency module is a module of the type of the early warning signal, the location of the early warning signal, emergency personnel (on-duty personnel), rescue personnel, emergency materials, the geographic position of the emergency personnel, the position of the rescue personnel and the like in the emergency plan, so that the emergency module can be conveniently combined with the GIS system to be displayed in a three-dimensional model in real time, scheduling and commanding can be conveniently carried out, and the rescue efficiency can be improved. The emergency process is to combine all emergency modules together through the rescue process, and the rescue progress can be shown in the three-dimensional model.
And S409, displaying the emergency module in the three-dimensional model according to the GIS system.
In the embodiment, the geographical positions of the disaster occurrence place, the emergency personnel, the rescue personnel and the emergency materials in the GIS system are combined and are displayed in the three-dimensional model through data integration, so that the visualization of emergency linkage is realized, and the dispatching command is convenient.
S410, establishing a three-dimensional model through a BIM technology based on the field structure of the emergency, rescue goods and materials, rescue personnel and corresponding three-dimensional coordinate information.
S411, applying the emergency plan to the three-dimensional model, and carrying out dispatching command on emergency events.
Fig. 5 is a BIM-based emergency dispatcher system provided in this embodiment, and as shown in fig. 5, the emergency dispatcher system includes:
the emergency case library module 1 is used for establishing an emergency case library based on a plurality of emergency cases.
And the early warning signal module 2 is used for acquiring an early warning signal of an emergency event.
And the closest case module 3 is used for finding the closest case in the emergency case library case through a CBR method according to the early warning signal.
And the similarity judging module 4 is used for determining the similarity between the emergency event and the closest case.
And the method selection module 5 is used for obtaining the emergency plan by the CBR method when the similarity is greater than the threshold value, or obtaining the emergency plan by the RBR method.
And the three-dimensional model module 6 is used for establishing a three-dimensional model through a BIM technology based on the field structure of the emergency event, rescue goods and materials, rescue personnel and corresponding three-dimensional coordinate information.
And the dispatching command module 7 is used for dispatching and commanding the emergency according to the emergency plan and the three-dimensional model.
The embodiment further provides a computer device, which includes at least one processing unit and at least one storage unit, where the storage unit stores a computer program, and when the computer program is executed by the processing unit, the processing unit executes the steps of the emergency scheduling command method, which is not described herein again; in this embodiment, the types of the processor and the memory are not particularly limited, for example: the processor may be a microprocessor, digital information processor, on-chip programmable logic system, or the like; the memory may be volatile memory, non-volatile memory, a combination thereof, or the like.
Embodiments of the present invention further provide a computer-readable storage medium, which stores a computer program executable by a computer device, and when the computer program runs on the computer device, the computer device is caused to execute the steps of the emergency dispatch commanding method. The implementation principle and technical effect are similar to those of the above method, and are not described herein again.
It must be noted that in any of the above embodiments, the methods are not necessarily executed in order of sequence number, and as long as it cannot be assumed from the execution logic that they are necessarily executed in a certain order, it means that they can be executed in any other possible order.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A BIM-based emergency dispatching command method is characterized by comprising the following steps:
establishing an emergency case base based on a plurality of emergency cases;
acquiring an early warning signal of an emergency event;
determining a closest case in the emergency case library according to the early warning signal;
determining the similarity between the emergency event and the closest case;
when the similarity is larger than a threshold value, obtaining an emergency plan by a CBR method, otherwise, obtaining the emergency plan by an RBR method;
establishing a three-dimensional model through a BIM technology based on the field structure, rescue goods and materials, rescue personnel and corresponding three-dimensional coordinate information of the emergency event;
and applying the emergency plan to the three-dimensional model, and carrying out dispatching and commanding on the emergency event.
2. The BIM-based conforming emergency method of claim 1, wherein the obtaining of the warning signal of the emergency event comprises:
collecting data of the emergency event, wherein the data comprises monitoring data and coordinate data;
and when the data do not meet the preset conditions, taking the data as the early warning signal.
3. The BIM-based conforming emergency method of claim 2 wherein the monitoring data is collected by one or more of monitoring sensors, surveillance cameras or development data in the emergency event.
4. The BIM-based conforming emergency method of claim 1 wherein the determining the similarity between the emergency event and the closest case comprises:
preprocessing the emergency event based on the closest case to respectively obtain primary weight values of a plurality of feature data in the emergency event;
and calculating a secondary weight value of the emergency event based on the primary weight values of the plurality of feature data, wherein the secondary weight value is the similarity between the emergency event and the closest case.
5. The BIM-based conforming emergency method of claim 4, wherein the calculating the secondary weight value of the emergency event comprises:
and summing the primary weight values of the plurality of feature data to determine a secondary weight value of the emergency event.
6. The BIM-based conforming emergency method of claim 1, wherein after obtaining the emergency plan, the BIM-based conforming emergency method further comprises:
structuring the emergency plan to obtain an emergency flow and an emergency module, wherein the emergency module comprises rescue personnel and rescue substances;
and displaying the emergency module in the three-dimensional model according to a GIS system.
7. The BIM-based conforming emergency method according to any of claims 1-6, wherein the threshold is 80%.
8. A BIM-based conforming emergency system comprising:
the emergency case library module (1) is used for establishing an emergency case library based on a plurality of emergency cases;
the early warning signal module (2) is used for acquiring an early warning signal of an emergency event;
the closest case module (3) is used for finding the closest case in the emergency case library case through a CBR method according to the early warning signal;
a similarity determination module (4) for determining the similarity between the emergency event and the closest case;
the method selection module (5) is used for obtaining an emergency plan through a CBR method when the similarity is larger than a threshold value, and otherwise, obtaining the emergency plan through an RBR method;
the three-dimensional model module (6) is used for establishing a three-dimensional model through a BIM technology based on the field structure, rescue goods and materials, rescue personnel and corresponding three-dimensional coordinate information of the emergency event;
and the dispatching command module (7) is used for dispatching and commanding the emergency event according to the emergency plan and the three-dimensional model.
9. A computer arrangement comprising at least one processing unit and at least one memory unit, wherein the memory unit stores a computer program that, when executed by the processing unit, causes the processing unit to carry out the steps of the conforming emergency method of any of claims 1 to 7.
10. A computer-readable storage medium, storing a computer program executable by a computer device, the computer program, when executed on the computer device, causing the computer device to perform the steps of the conforming emergency method of any one of claims 1 to 7.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113971505A (en) * | 2021-09-16 | 2022-01-25 | 杜敏齐 | Railway train emergency scheduling method, device, equipment and readable storage medium |
| CN114139243A (en) * | 2021-09-14 | 2022-03-04 | 江苏中云筑智慧运维研究院有限公司 | BIM-based bridge fire emergency rescue method, terminal and storage medium |
| CN114611938A (en) * | 2022-03-14 | 2022-06-10 | 王淑娟 | Emergency command method and system based on 3DGIS |
| CN117273401A (en) * | 2023-11-21 | 2023-12-22 | 航天科工广信智能技术有限公司 | Emergency command method, system and storage medium based on case reasoning and simulation |
| CN117455324A (en) * | 2023-11-08 | 2024-01-26 | 交通运输部水运科学研究所 | Large port operation management method and system based on physical model |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102314639A (en) * | 2011-07-05 | 2012-01-11 | 万达信息股份有限公司 | Visualized dynamic intelligent emergency disposal scheme generation method |
| 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 |
| CN105956151A (en) * | 2016-05-13 | 2016-09-21 | 中国有色金属长沙勘察设计研究院有限公司 | Plan-based assistant decision-making method, tailing pond monitoring method and system |
| CN110008618A (en) * | 2019-04-15 | 2019-07-12 | 华夏天信（北京）智能低碳技术研究院有限公司 | A kind of emergency aided decision system based on GIS and BIM |
-
2020
- 2020-12-17 CN CN202011496027.6A patent/CN112633661A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102314639A (en) * | 2011-07-05 | 2012-01-11 | 万达信息股份有限公司 | Visualized dynamic intelligent emergency disposal scheme generation method |
| 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 |
| CN105956151A (en) * | 2016-05-13 | 2016-09-21 | 中国有色金属长沙勘察设计研究院有限公司 | Plan-based assistant decision-making method, tailing pond monitoring method and system |
| CN110008618A (en) * | 2019-04-15 | 2019-07-12 | 华夏天信（北京）智能低碳技术研究院有限公司 | A kind of emergency aided decision system based on GIS and BIM |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114139243A (en) * | 2021-09-14 | 2022-03-04 | 江苏中云筑智慧运维研究院有限公司 | BIM-based bridge fire emergency rescue method, terminal and storage medium |
| CN113971505A (en) * | 2021-09-16 | 2022-01-25 | 杜敏齐 | Railway train emergency scheduling method, device, equipment and readable storage medium |
| CN113971505B (en) * | 2021-09-16 | 2023-10-27 | 杜敏齐 | Railway train emergency dispatching method, device, equipment and readable storage medium |
| CN114611938A (en) * | 2022-03-14 | 2022-06-10 | 王淑娟 | Emergency command method and system based on 3DGIS |
| CN117455324A (en) * | 2023-11-08 | 2024-01-26 | 交通运输部水运科学研究所 | Large port operation management method and system based on physical model |
| CN117455324B (en) * | 2023-11-08 | 2024-04-19 | 交通运输部水运科学研究所 | Large port operation management method and system based on physical model |
| CN117273401A (en) * | 2023-11-21 | 2023-12-22 | 航天科工广信智能技术有限公司 | Emergency command method, system and storage medium based on case reasoning and simulation |
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