Emergency converged communication command risk early warning and monitoring system based on digital space

Abstract

The invention provides an emergency converged communication command risk early warning monitoring system and method based on a digital space, and relates to the technical field of emergency management, and the system comprises a data acquisition module, a first processing module, a second processing module and a risk early warning module. According to the invention, the limitation that a traditional risk early warning system mainly focuses on a single emergency event is overcome, and the comprehensiveness and accuracy of risk early warning are realized by deeply analyzing and comprehensively considering the mutual influence among various emergency events and the diffusion effect of the emergency events in adjacent monitoring areas.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency management, and in particular to an emergency fusion communication command risk early warning monitoring system based on digital space. Background Art

[0002] With the rapid development of information technology, the application of digital space in the field of emergency management has made significant progress. However, the existing emergency system still faces many challenges in dealing with complex and changing emergency events.

[0003] Traditional emergency response systems are often limited to monitoring and early warning of a single event or a single data source. The limitations of a single data source may also lead to one-sided and misleading information, affecting the accuracy and timeliness of emergency decision-making. At the same time, there is a lack of effective methods and means for risk assessment of complex emergency events. Complex emergency events often involve multiple factors, multiple departments and multiple levels, and their risk level and impact range are difficult to accurately assess. Summary of the invention

[0004] In view of the defects in the prior art, the present invention provides an emergency fusion communication command risk early warning monitoring system and method based on digital space.

[0005] On the one hand, the present invention provides an emergency fusion communication command risk early warning monitoring system based on digital space, the system comprising:

[0006] A data acquisition module is used to obtain the original monitoring data of the current monitoring area;

[0007] A first processing module is used to classify the original monitoring data according to the evaluation index of each emergency event to obtain a monitoring data group; pre-process the monitoring data group, and input the pre-processed monitoring data group into the corresponding first risk event prediction model to obtain a first risk level;

[0008] The second processing module is used to determine the weight of each emergency event according to the propagation capability and the first risk level of each emergency event, wherein the propagation capability includes the first propagation capability between emergency events and the propagation range of emergency events, and to perform weighted fusion on the pre-processed monitoring data group according to the weight to obtain target monitoring data; the target detection data is input into the second risk event prediction model to obtain the composite emergency event type and the second risk level;

[0009] The risk warning module is used to issue a warning according to the type of the composite emergency event and the second risk level.

[0010] Preferably, calculating the first propagation capability includes:

[0011] Get the time difference between the current emergency event and the associated emergency event;

[0012] Calculating a first propagation capability value and a second propagation capability value according to the event difference;

[0013] A first propagation capability is calculated according to the first capability propagation value and the second capability propagation value.

[0014] Preferably, the formula for calculating the first propagation capability value is:

[0015]

[0016] Where D(i,j) is the ability of the current emergency event i to directly induce the associated emergency event j, that is, the first propagation capability value, T0 is the unit propagation time, T ij is the time difference between the occurrence time of the associated emergency event j and the occurrence time of the current emergency event i, and A is a constant.

[0017] Preferably, the formula for calculating the second propagation capability value is:

[0018]

[0019] Wherein, tD(i,j) is the ability of the current emergency event i to indirectly induce the associated emergency event j through the emergency event k, that is, the second propagation capability value, and M is the total number of emergency events k.

[0020] Preferably, the formula for calculating the first propagation capability is:

[0021]

[0022] Wherein, is the first propagation capability, N is the total number of associated emergency events j, and B is a constant.

[0023] Preferably, the formula for calculating the second propagation capability is:

[0024] D2=hv is t0

[0025] Among them, D2 is the second propagation capability, v is is the propagation speed of the current emergency event i at the first risk level s, t0 is the benchmark propagation time, and h is the importance of the current monitoring area.

[0026] Preferably, determining the weight of an emergency event includes: determining the priority of each emergency event according to the propagation capability and the first risk level; and determining the weight of the emergency event according to the priority.

[0027] On the other hand, a digital space-based emergency fusion communication command risk early warning monitoring method comprises the following steps:

[0028] Step 1, obtaining the original monitoring data of the current monitoring area;

[0029] Step 2: classify the original monitoring data according to the evaluation index of each emergency event to obtain a monitoring data group; preprocess the monitoring data group, input the preprocessed monitoring data group into the corresponding first risk event prediction model to obtain a first risk level;

[0030] Step 3, according to the propagation capability and the first risk level of each emergency event, the propagation capability includes the first propagation capability between emergency events and the second propagation capability of emergency events in adjacent monitoring areas, determine the weight of each emergency event, perform weighted fusion on the preprocessed monitoring data group according to the weight, and obtain target monitoring data; input the target detection data into the second risk event prediction model to obtain the composite emergency event type and the second risk level;

[0031] Step 4: issuing an early warning according to the composite emergency event type and the second risk level.

[0032] The beneficial effects of the present invention are as follows: by comprehensively considering multiple emergency events and their transmission capabilities, using advanced algorithms and models to perform weighted fusion processing on data, a more accurate and comprehensive risk warning can be achieved. This not only helps to improve the decision-making level of emergency management departments, but also provides strong support for protecting people's lives and property. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0034] Figure 1 The invention provides a structural schematic diagram of an emergency fusion communication command risk early warning monitoring system based on digital space;

[0035] Figure 2 The invention provides a flow chart of an emergency fusion communication command risk warning monitoring method based on digital space. DETAILED DESCRIPTION

[0036] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0037] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.

[0038] Example 1

[0039] like Figure 1 As shown, the present invention provides an emergency fusion communication command risk early warning monitoring system based on digital space, the system comprising:

[0040] A data acquisition module is used to obtain the original monitoring data of the current monitoring area;

[0041] Specifically, this module is responsible for obtaining the original monitoring data of the current monitoring area from various sensors, monitoring equipment, databases, etc. in real time or regularly. These data include but are not limited to earthquake activities, meteorological data, traffic flow, social media public opinion, etc.

[0042] The first processing module is used to classify the original monitoring data according to the evaluation indicators of each emergency event to obtain a monitoring data group; pre-process the monitoring data group, input the pre-processed monitoring data group into the corresponding first risk event prediction model to obtain a first risk level.

[0043] Specifically, the module first classifies the original monitoring data according to the preset evaluation indicators of each emergency event (such as the magnitude of an earthquake, the flow of a flood, etc.) to form different monitoring data groups. Subsequently, the data is preprocessed, such as denoising and normalization, to improve data quality. The preprocessed data will be input into the corresponding first risk event prediction model, which is built based on historical data and machine learning algorithms and can output the first risk level of each emergency event.

[0044] The second processing module is used to determine the weight of each emergency event based on the propagation capability and the first risk level of each emergency event, wherein the propagation capability includes the first propagation capability between emergency events and the propagation range of emergency events, and perform weighted fusion on the pre-processed monitoring data group according to the weight to obtain target monitoring data; input the target detection data into the second risk event prediction model to obtain the composite emergency event type and the second risk level.

[0045] Specifically, the module considers the propagation capacity and the first risk level of each emergency event to determine its weight. The propagation capacity includes the first propagation capacity between emergencies (i.e. the possibility of one event triggering another event) and the second propagation capacity of emergencies (i.e. the geographical area that an event may affect at a specific risk level). The calculation of these propagation capacities is based on complex event association analysis and impact assessment models. By weighted fusion of the preprocessed monitoring data set, more comprehensive target monitoring data is obtained. These data are then input into the second risk event prediction model to identify possible types of compound emergencies and determine their second risk levels.

[0046] It should be noted that there is not only direct transmission between emergency events, but also indirect impact.

[0047] Direct propagation refers to the ability of an emergency to directly trigger another related emergency. For example, a strong earthquake may directly cause nearby buildings to collapse, fires, or traffic disruptions. In order to quantify this direct propagation, the present invention obtains the time difference between the current emergency and the related emergency, and uses this time difference to calculate the first propagation capability value. This value reflects the strength of the causal relationship between the events and the speed of direct propagation. The shorter the time difference, the greater the direct propagation and the stronger the propagation capability.

[0048] Indirect impact means that in addition to direct transmission, an emergency event may also indirectly lead to the occurrence of other emergencies by triggering a series of chain reactions. This indirect impact cannot be ignored when calculating the first transmission capacity. For example, an earthquake may first cause power outages, which in turn affect the water supply system and may eventually cause public health problems. In order to capture this complex indirect impact, the present invention introduces the calculation of the second transmission capacity value. This value takes into account the ability of the current emergency event to indirectly induce related emergencies through other intermediate events.

[0049] When calculating the first transmission capacity, the present invention weights direct transmission and indirect impact to more accurately reflect the complex transmission relationship between emergency events. This method not only considers the direct causal relationship between events, but also captures possible chain reactions and indirect impacts, thereby providing more comprehensive and accurate data support for risk warning.

[0050] In an embodiment of the present invention, calculating the first transmission capability includes: obtaining the time difference between the current emergency event and the associated emergency event; calculating the first transmission capability value and the second transmission capability value based on the event difference; and calculating the first transmission capability based on the first capability transmission value and the second capability transmission value.

[0051] In the embodiment of the present invention, the formula for calculating the first transmission capability value is:

[0052]

[0053] in, D(i ,j) is the ability of the current emergency event i to directly induce the associated emergency event j, that is, the first propagation capability value, T0 is the unit propagation time, T ij is the time difference between the occurrence time of the associated emergency event j and the occurrence time of the current emergency event i, and A is a constant.

[0054] In the embodiment of the present invention, the formula for calculating the second transmission capability value is:

[0055]

[0056] Wherein, tD(i,j) is the ability of the current emergency event i to indirectly induce the associated emergency event j through the emergency event k, that is, the second propagation capability value, and M is the total number of emergency events k.

[0057] In the embodiment of the present invention, the formula for calculating the first propagation capability is:

[0058]

[0059] Wherein, is the first propagation capability, N is the total number of associated emergency events j, and B is a constant.

[0060] It is worth noting that, in order to reduce the amount of calculation, the present invention only considers one indirect emergency event when considering indirect impacts.

[0061] Through this calculation method that comprehensively considers direct transmission and indirect impact, the system of the present invention can more accurately predict and evaluate the transmission trend of emergency events, providing a powerful decision-making basis for emergency management departments.

[0062] In the embodiment of the present invention, the formula for calculating the second propagation capability is:

[0063] D2=hv is t0

[0064] Among them, D2 is the second propagation capability, v is is the propagation speed of the current emergency event i at the first risk level s, t0 is the benchmark propagation time, and h is the importance of the current monitoring area.

[0065] In some preferred embodiments, v isThe propagation speed of the current emergency event i at the first risk level s and the propagation range obtained with t0 as the reference propagation time are judged, and whether the propagation range reaches the adjacent monitoring area is determined based on the judgment result, and the calculation result of the second propagation capacity is optimized based on the importance of the adjacent monitoring area, and the calculation result can also be further optimized based on the number of adjacent monitoring areas to which it is propagated.

[0066] In the embodiment of the present invention, determining the weight of an emergency event includes: determining the priority of each emergency event according to the propagation capability and the first risk level; and determining the weight of the emergency event according to the priority.

[0067] The risk warning module is used to issue a warning according to the type of the composite emergency event and the second risk level.

[0068] Specifically, this module is responsible for generating and publishing corresponding warning information, which can be quickly conveyed to relevant agencies and the public through various channels (such as SMS, e-mail, social media, etc.) so that they can take necessary response measures. This module makes full use of the advantages of converged communication technology to ensure that warning information can be quickly and accurately conveyed to relevant agencies and the public.

[0069] In summary, the present invention proposes an emergency fusion communication command risk warning monitoring system based on digital space. The system comprehensively considers multiple emergency events and their propagation capabilities, and uses advanced algorithms and models to perform weighted fusion processing on data, thereby achieving more accurate and comprehensive risk warnings. This not only helps to improve the decision-making level of emergency management departments, but also provides strong support for protecting people's lives and property.

[0070] Example 2

[0071] like Figure 2 As shown, an embodiment of the present invention provides an emergency fusion communication command risk early warning monitoring method based on digital space, the method comprising the following steps:

[0072] Step 1, obtaining the original monitoring data of the current monitoring area;

[0073] Step 2: classify the original monitoring data according to the evaluation index of each emergency event to obtain a monitoring data group; preprocess the monitoring data group, input the preprocessed monitoring data group into the corresponding first risk event prediction model to obtain a first risk level;

[0074] Step 3, according to the propagation capability and the first risk level of each emergency event, the propagation capability includes the first propagation capability between emergency events and the second propagation capability of emergency events in adjacent monitoring areas, determine the weight of each emergency event, perform weighted fusion on the preprocessed monitoring data group according to the weight, and obtain target monitoring data; input the target detection data into the second risk event prediction model to obtain the composite emergency event type and the second risk level;

[0075] Step 4: issuing an early warning according to the composite emergency event type and the second risk level.

[0076] It should be understood that the emergency fusion communication command risk warning monitoring method based on digital space provided in the embodiment of the present invention and the emergency fusion communication command risk warning monitoring system based on digital space provided in the above embodiment are based on the same inventive concept. For more specific working principles of each step in the embodiment of the present invention, please refer to the above embodiment and will not be repeated in this embodiment.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. An emergency fusion communication command risk early warning monitoring system based on digital space, characterized in that: include: A data acquisition module is used to obtain the original monitoring data of the current monitoring area; A first processing module, used for classifying the original monitoring data according to the evaluation index of each emergency event to obtain a monitoring data group; Preprocessing the monitoring data group, inputting the preprocessed monitoring data group into a corresponding first risk event prediction model to obtain a first risk level; A second processing module is used to determine the weight of each emergency event according to the propagation capability and the first risk level of each emergency event, wherein the propagation capability includes the first propagation capability between emergency events and the propagation range of the emergency events, and perform weighted fusion on the pre-processed monitoring data group according to the weight to obtain target monitoring data; Inputting the target detection data into a second risk event prediction model to obtain a composite emergency event type and a second risk level; The risk warning module is used to issue a warning according to the type of the composite emergency event and the second risk level.

2. According to claim 1, the emergency fusion communication command risk early warning monitoring system based on digital space is characterized in that: Calculating the first propagation capability, comprising: Get the time difference between the current emergency event and the associated emergency event; Calculating a first propagation capability value and a second propagation capability value according to the event difference; A first propagation capability is calculated according to the first capability propagation value and the second capability propagation value.

3. According to the digital space-based emergency fusion communication command risk early warning monitoring system according to claim 2, it is characterized in that: The formula for calculating the first propagation capability value is: Where D(i,j) is the ability of the current emergency event i to directly induce the associated emergency event j, that is, the first propagation capability value, T0 is the unit propagation time, T ij is the time difference between the occurrence time of the associated emergency event j and the occurrence time of the current emergency event i, and A is a constant.

4. According to the digital space-based emergency fusion communication command risk early warning monitoring system according to claim 2, it is characterized in that: The formula for calculating the second propagation capability value is: Wherein, tD(i,j) is the ability of the current emergency event i to indirectly induce the associated emergency event j through the emergency event k, that is, the second propagation capability value, and M is the total number of emergency events k.

5. According to the digital space-based emergency fusion communication command risk early warning monitoring system according to claim 2, it is characterized in that: The formula for calculating the first propagation capability is: Wherein, is the first propagation capability, N is the total number of associated emergency events j, and B is a constant.

6. According to the digital space-based emergency fusion communication command risk early warning monitoring system according to claim 1, it is characterized in that: The formula for calculating the second propagation capability is: D2=hv is t0 Among them, D2 is the second propagation capability, v is is the propagation speed of the current emergency event i at the first risk level s, t0 is the benchmark propagation time, and h is the importance of the current monitoring area.

7. According to the digital space-based emergency fusion communication command risk early warning monitoring system according to claim 1, it is characterized in that: Determining the weight of the emergency event includes: determining the priority of each emergency event according to the transmission capacity and the first risk level; and determining the weight of the emergency event according to the priority.

8. A digital space-based emergency fusion communication command risk early warning monitoring method, characterized in that: The following steps are involved: Step 1, obtaining the original monitoring data of the current monitoring area; Step 2, classifying the original monitoring data according to the evaluation index of each emergency event to obtain a monitoring data group; Preprocessing the monitoring data group, inputting the preprocessed monitoring data group into a corresponding first risk event prediction model to obtain a first risk level; Step 3, according to the propagation capability and the first risk level of each emergency event, the propagation capability includes the first propagation capability between emergency events and the second propagation capability of emergency events in adjacent monitoring areas, determine the weight of each emergency event, and perform weighted fusion on the preprocessed monitoring data group according to the weight to obtain the target monitoring data; Inputting the target detection data into a second risk event prediction model to obtain a composite emergency event type and a second risk level; Step 4: issuing an early warning according to the composite emergency event type and the second risk level.

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