Flood discharge early warning system and method based on multi-mode broadcast

Abstract

The invention provides a flood discharge early warning system and method based on multi-mode broadcast, and relates to the technical field of early warning systems. The system comprises a multi-mode broadcast module used for issuing early warning information through a wireless broadcast signal, an acousto-optic signal and a visual screen; the range adjusting module is used for adjusting the broadcasting range of the multi-mode broadcasting module according to the personnel distribution information in the target flood discharge area; the priority adjusting module is used for adjusting the broadcast priority of the multi-mode broadcast module; the positioning module is used for acquiring real-time position information of the target object through the communication base station and the intelligent terminal; the directional early warning module is used for determining an early warning information transmission path issued by the multi-mode broadcast module; the data acquisition module is used for acquiring various real-time data from the multi-mode broadcast module, the positioning module and the environment sensor; and the data fusion module is used for carrying out fusion processing on various real-time data. According to the technical scheme, the response efficiency and the coverage accuracy of flood discharge early warning can be improved.

Description

Background Art

[0002] At present, the flood warning system mainly relies on traditional broadcasting to transmit information. Although this method can play a certain warning role, it often cannot achieve full coverage under different environmental conditions. Especially under complex terrain and changeable climate conditions, information transmission is prone to lag or omission. In addition, traditional systems usually rely on fixed broadcast ranges and preset rules, lacking accurate warning capabilities for different target groups, resulting in inaccurate warning information transmission and even failing to meet the needs of emergency response.

[0003] As the demand for emergency management of flood disasters continues to increase, the shortcomings of existing systems in terms of warning range, transmission accuracy and flexibility have become increasingly obvious. Traditional systems usually only issue warnings based on static regional scope and time rules, but are unable to make flexible adjustments in time when faced with sudden meteorological changes, water level fluctuations or changes in personnel distribution. The lack of intelligent decision-making support makes it difficult for the system to adapt to complex and changing flood discharge situations, resulting in slow or inaccurate warning responses, increasing the risk of potential accidents. Therefore, there is still room for improvement in the response efficiency and coverage accuracy of flood discharge warning systems in related technologies.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of the embodiments of the present disclosure is to provide a flood warning system based on multi-mode broadcasting, a flood warning method based on multi-mode broadcasting, an electronic device and a computer-readable storage medium, thereby improving the response efficiency and coverage accuracy of the flood warning system at least to a certain extent.

[0006] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by the practice of the present disclosure.

[0007] According to a first aspect of an embodiment of the present disclosure, a flood discharge warning system based on multi-mode broadcasting is provided, the system comprising: a multi-mode broadcasting module, used to issue warning information through wireless broadcast signals, sound and light signals and visual screens; a range adjustment module, used to adjust the broadcast range of the multi-mode broadcasting module according to the distribution information of personnel in the target flood discharge area; a priority adjustment module, used to adjust the broadcast priority of the multi-mode broadcasting module according to a preset rule, the priority being determined based on the distribution information of personnel provided by the range adjustment module; a positioning module, used to obtain the real-time location information of the target object through a communication base station and an intelligent terminal, and send the location information to the multi-mode broadcasting module; a directional warning module, used to determine the transmission path of the warning information issued by the multi-mode broadcasting module based on the location information of the target object obtained by the positioning module; a data acquisition module, used to collect a variety of real-time data from the multi-mode broadcasting module, the positioning module and the environmental sensor; a data fusion module, used to fuse the multiple real-time data, generate the warning information, and transmit the warning information to the multi-mode broadcasting module.

[0008] According to a second aspect of an embodiment of the present disclosure, a flood discharge warning method based on multi-mode broadcasting is provided, the method comprising: obtaining real-time location information of a target object through a communication base station and an intelligent terminal, and determining a transmission path for the warning information; adjusting the broadcast range of the multi-mode broadcasting according to the personnel distribution information in the target flood discharge area; dynamically adjusting the priority of the warning information according to the personnel distribution information based on preset rules; collecting real-time data from multiple data sources, and fusing the real-time data to generate the warning information, and publishing the warning information through wireless broadcast signals, sound and light signals, and a visual screen.

[0009] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects:

[0010] The flood discharge warning system in the disclosed embodiment can achieve all-round coverage in a variety of environments. First, through the synergy of wireless broadcasting, sound and light signals and visual screens, it ensures that warning information can be efficiently and accurately transmitted in different situations, whether in complex terrain, severe climate or densely populated areas, overcoming the problems of insufficient coverage and delayed information transmission caused by traditional single broadcasting.

[0011] In addition, through the collaboration of the range adjustment module and the priority adjustment module, the range and priority of the broadcast can be dynamically adjusted according to the personnel distribution information in the target flood discharge area. Specifically, the range adjustment module can accurately determine the area that needs to be broadcast based on real-time personnel distribution data, thereby reducing unnecessary coverage and improving the pertinence of the broadcast. The priority adjustment module intelligently adjusts the urgency of the broadcast content based on factors such as personnel density and disaster risk, ensuring that the warning information is transmitted to each key area in a timely and accurate manner, avoiding the underreporting phenomenon commonly seen in traditional warning systems.

[0012] In addition, in terms of accurate positioning of target objects, the positioning module and the directional warning module work together to ensure that the warning information can be accurately delivered to the specific target objects that need to be warned. Through the collaboration of the communication base station and the intelligent terminal, the system can obtain the location of the target object in real time and dynamically adjust the broadcast path according to its location, so that the warning information can not only cover a wide area, but also be delivered to the target object in a targeted manner, avoiding the risk of too large or too small information transmission range, and improving the accuracy and response efficiency of the warning system.

[0013] At the same time, the data acquisition module forms a comprehensive environmental perception capability by collecting multiple data sources in real time. The data fusion module further performs real-time fusion processing on these data to generate unified warning information. This fusion processing not only eliminates the information bias that may be caused by a single data source, but also provides more comprehensive and accurate disaster predictions through comprehensive analysis of multiple data dimensions, ensuring that the early warning system can make a more intelligent and flexible response when facing complex and changeable flood discharge scenarios.

[0014] To sum up, the flood discharge warning system disclosed in the present invention effectively solves the problems of single broadcasting mode, fixed rules and lack of flexible response mechanism in the prior art through multi-dimensional, all-round information collection, dynamic adjustment and precise transmission mechanism, significantly improves the system's adaptability and warning efficiency in complex environments, and ensures the response efficiency, coverage accuracy and coverage range of warning information.

[0015] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0017] Figure 1The following schematically shows a composition diagram of a flood discharge warning system based on multi-mode broadcasting according to some embodiments of the present disclosure.

[0018] Figure 2 A schematic diagram schematically shows the composition of another flood discharge warning system based on multi-mode broadcasting according to some embodiments of the present disclosure.

[0019] Figure 3 A flowchart of a flood discharge warning method based on multi-mode broadcasting according to some embodiments of the present disclosure is schematically shown.

[0020] Figure 4 A schematic diagram of the structure of a computer system of an electronic device according to some embodiments of the present disclosure is schematically shown.

[0021] Figure 5 A schematic diagram of a computer-readable storage medium according to some embodiments of the present disclosure is schematically shown.

[0022] In the drawings, the same or corresponding reference numerals represent the same or corresponding parts. DETAILED DESCRIPTION

[0023] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this specification. Instead, they are merely examples of devices and methods consistent with some aspects of this specification as detailed in the appended claims.

[0024] The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit this specification. The singular forms "a", "the" and "the" used in this specification and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0025] It should be understood that although the terms first, second, third, etc. may be used in this specification to describe various information, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0026] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be more comprehensive and complete and will fully convey the concept of the example embodiments to those skilled in the art.

[0027] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the present disclosure.

[0028] Furthermore, the drawings are only schematic illustrations and are not necessarily drawn to scale. The block diagrams shown in the drawings are only functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0029] In an exemplary embodiment of the present disclosure, a flood discharge warning system based on multi-mode broadcast is first provided. The flood discharge warning system based on multi-mode broadcast can be applied to terminal devices, such as mobile phones, computers and other electronic devices. Figure 1 The schematic diagram of the composition of the flood discharge warning system based on multi-mode broadcasting according to some embodiments of the present disclosure is schematically shown. Figure 1 As shown, the flood discharge warning system based on multi-mode broadcasting may include the following modules:

[0030] The multi-mode broadcast module 1 can be used to release warning information through wireless broadcast signals, sound and light signals and visual screens;

[0031] Range adjustment module 2, which can be used to adjust the broadcast range of the multi-mode broadcast module according to the distribution information of people in the target flood discharge area;

[0032] The priority adjustment module 3 can be used to adjust the broadcast priority of the multi-mode broadcast module according to a preset rule, and the priority is determined based on the personnel distribution information provided by the range adjustment module;

[0033] The positioning module 4 can be used to obtain the real-time location information of the target object through the communication base station and the intelligent terminal, and send the location information to the multi-mode broadcast module;

[0034] A directional warning module 5 can be used to determine the transmission path of the warning information issued by the multi-mode broadcast module based on the location information of the target object obtained by the positioning module;

[0035] The data collection module 6 can be used to collect various real-time data from the multi-mode broadcast module, the positioning module and the environmental sensor;

[0036] The data fusion module 7 can be used to fuse a variety of real-time data, generate warning information, and transmit the warning information to the multi-mode broadcast module.

[0037] Next, the flood discharge warning system based on multi-mode broadcast in this exemplary embodiment will be further described.

[0038] The multi-mode broadcast module 1 releases warning information through three ways: wireless broadcast signals, sound and light signals, and visual screens, ensuring wide coverage under various environmental conditions. Specifically, the wireless broadcast signal can flexibly adapt to different geographical and climatic conditions, such as complex mountainous areas or densely populated urban areas, by adjusting the frequency and power to avoid signal blocking. The intensity and propagation range of the broadcast signal are dynamically adjusted according to real-time data to ensure that the warning information can still be received even in areas with severe signal attenuation. In different environments, the sound signal can adjust the volume and frequency to meet the needs of busy or quiet areas. For example, high-frequency alarms can penetrate noise in busy traffic areas, while low-frequency alarms can ensure a wider dissemination effect at night. The light signal part provides intuitive visual warnings in low visibility conditions by using high-brightness LED screens or flashing lights. The content displayed on the screen can include real-time alarms, emergency evacuation information, and water level conditions, so that different target groups can quickly understand the current situation.

[0039] The range adjustment module 2 automatically adjusts the broadcast range of the multi-mode broadcast module 1 by monitoring the real-time distribution of people in the target area. The module relies on multiple data sources, such as sensors, surveillance cameras, and personnel flow data, to obtain real-time information on the density of people in the flood discharge area. Using this data, the range adjustment module 2 can flexibly adjust the coverage of the broadcast. When the density of people is high, the system expands the broadcast range to ensure broadcast coverage in key areas; while in areas with a small population or low risk, the system can narrow the broadcast range to reduce unnecessary interference. By combining environmental information, such as meteorological data and geographic data, the range adjustment module 2 can also consider the characteristics of different areas, such as urban centers, rural areas, or waters, to ensure that the broadcast range matches the environment and the distribution of people, and avoid excessive or missed broadcasts. In addition, the system can continuously track changes in the distribution of people during operation, realize real-time and accurate range adjustment, and ensure maximum coverage and timely delivery of warning information.

[0040] The priority adjustment module 3 can dynamically adjust the broadcast priority according to the level of flood discharge risk, the density of personnel distribution and other environmental factors. The module continuously monitors environmental data such as water level, rainfall, wind speed, etc., and combines personnel distribution information to determine the broadcast priority of different areas and target objects. In high-risk areas, such as near dams or low-lying areas, when the water level rises sharply, the priority adjustment module 3 will automatically increase the broadcast priority of the area to ensure that the emergency warning information is conveyed in time. In addition, the priority adjustment module 3 can adjust the urgency and method of information transmission for different target groups, such as vehicles in motion, residents in buildings, etc., according to preset rules. For example, when a vehicle enters a high-risk area, the system will automatically increase the broadcast priority of the area, and through coordination with the vehicle navigation system, directly send warning information to the vehicle to ensure that the owner can receive relevant alarms in time. The system flexibly adjusts the priority of broadcast information according to environmental changes and the real-time location of the target group to avoid information lag or omission.

[0041] The positioning module 4 can obtain the location information of the target object in real time by cooperating with the communication base station and the intelligent terminal. Using a variety of positioning technologies such as GPS, Wi-Fi, Bluetooth and communication base stations, the system can accurately track the current position of the target object and transmit it to the multi-mode broadcast module 1. According to the movement trajectory and real-time position of the target object, the positioning module 4 can dynamically update the information to ensure that the transmission path of the broadcast information is always accurate. For stationary targets, such as residents in buildings, the system obtains precise location information through Wi-Fi or Bluetooth signals; for moving targets, such as moving vehicles or walking people, a comprehensive judgment is made by combining GPS positioning and the signals of the communication base station. The positioning module 4 not only has a high-precision positioning function, but also can update the position of the target object in real time, ensuring that the system can provide the latest location information under any circumstances, and provide accurate data support for the directional warning module 5.

[0042] The directional warning module 5 automatically determines the transmission path of the warning information based on the real-time location information provided by the positioning module 4. The module combines the real-time location of the target object, the surrounding environment information and the geographic data to optimize the route and method of information transmission. For example, when the target object is located in an area with a higher risk of flood discharge, the directional warning module 5 will choose the most direct and effective way to transmit information, such as alarming through a close-range wireless broadcast signal or a directional sound and light signal. For mobile targets (such as moving vehicles or pedestrians), the directional warning module 5 can adjust the path and content of the alarm transmission in real time according to the target's driving trajectory and direction to ensure the timeliness and accuracy of information transmission. In addition, the directional warning module 5 can also have an adaptive adjustment function. When the position of the target object changes or environmental factors change, the module can automatically update the warning transmission path to ensure that the warning information always matches the current position of the target object. This dynamic adjustment capability greatly improves the flexibility and accuracy of the system and helps to reduce the lag and miscommunication of broadcast information.

[0043] The data acquisition module 6 can be used to obtain real-time information from multiple data sources, including environmental sensors, positioning modules, intelligent devices, etc., to ensure that the system can fully and accurately reflect the current status of the target area. This module collects environmental data such as temperature, humidity, wind speed, water level, rainfall, traffic flow, etc. in real time by deploying meteorological sensors, water level monitoring equipment, personnel distribution sensors, etc. In addition, the location information provided by intelligent terminal devices such as mobile phones and wearable devices also provides detailed data about the target object for the data acquisition module. All these data are transmitted to the data fusion module 7 for generating timely and accurate warning information. In order to ensure the accuracy of data collection, the data acquisition module 6 can use high-precision sensors and a variety of information fusion technologies. For example, meteorological data collection can be cross-validated through data from multiple meteorological stations to eliminate errors that may occur in a single data source. In terms of water level monitoring, buoys, radars and other equipment can be combined to monitor water level changes in real time to ensure that flood discharge risks are reflected in a timely manner.

[0044] The data fusion module 7 generates accurate warning information by processing and analyzing multi-source data, and transmits it to the multi-mode broadcast module 1. This module integrates data from various sensors, positioning modules, intelligent terminals, etc., and combines data analysis algorithms for real-time fusion. Through comprehensive analysis of multi-dimensional data such as meteorological data, water level data, and personnel distribution data, the data fusion module 7 can assess the risk level of the flood discharge area and dynamically adjust the warning level. The data fusion process can include steps such as data cleaning, denoising, and pattern recognition to ensure that the final output warning information is accurate. Through the comparison and analysis of historical data, potential flood discharge risks can be identified, and decisions can be dynamically optimized according to real-time conditions. For example, when the water level rises rapidly and is accompanied by heavy rainfall, the warning intensity is increased, and high-risk areas are given priority. All processed data will be aggregated to generate accurate warning information and released through the multi-mode broadcast module 1 to ensure that each target object can receive timely warnings.

[0045] Next, the above-mentioned flood discharge warning system based on multi-mode broadcasting will be described in detail in other embodiments of the present disclosure.

[0046] In some embodiments, reference Figure 2 As shown, the multi-mode broadcast module 1 may include a wireless broadcast signal unit 11 , an audio-visual signal unit 12 , and a visualization screen unit 13 .

[0047] Among them, the wireless broadcast signal unit 11 can be used to send the warning information to the receiving device in the target flood discharge area through the broadcast signal within the preset frequency band. Specifically, the main function of the wireless broadcast signal unit is to transmit the warning information to the receiving device in the target flood discharge area through the broadcast signal within the radio frequency range. The unit may include a frequency modulation component, a signal modulation component, a transmitting component and a receiving device interface component. The frequency modulation component selects the frequency according to the preset frequency band, so that the signal can penetrate various obstacles and cover a larger area, especially suitable for complex terrain (such as mountainous areas, low-lying areas, etc.), and can adapt to different weather conditions (such as heavy rain, haze, etc.). The signal modulation component is used to modulate the warning information and convert it into a signal format suitable for wireless transmission to ensure the transmission efficiency and stability of the information. The transmitting component sends the modulated signal to the air to ensure that the signal can cover the specified area. In the actual operation process, the wireless broadcast signal unit can dynamically adjust the transmission power of the signal to adapt to different transmission requirements and environmental conditions. For example, in a large-scale flood discharge area, in order to ensure that the signal can cover the farthest distance, the transmission power of the signal will be enhanced; while in smaller or less populated areas, the power is reduced to reduce unnecessary signal interference. The signal receiving device interface component is used to receive feedback from devices in the target area, confirm the effective reception of the signal, and make real-time adjustments based on environmental changes (such as weather conditions, topography, etc.).

[0048] The sound and light signal unit 12 can be used to issue early warning information through a siren and a flashing light. The siren issues an audible alarm, and the flashing light flashes at a preset frequency. The frequency of the audible alarm and the flashing light is automatically adjusted by the priority adjustment module according to the density of people in the target area and the real-time situation. Specifically, the sound and light signal unit is used to issue early warning information through a siren and a flashing light. The unit can be composed of an acoustic alarm component and a light alarm component, and can adjust the audio and light frequencies according to the density of people in the target area and the real-time situation. The acoustic alarm component includes an audio device and a frequency modulation circuit. The audio device is used to issue an audio alarm, and the frequency, volume and duration can be adjusted according to preset rules. For example, when the density of people is high, the volume of the sound will increase to ensure that the sound penetrates the crowd or environmental noise; in special circumstances, such as at night or in a noisy traffic environment, the high-frequency sound alarm can be used to increase its penetration to ensure the transmission efficiency of the alarm. The light alarm component can be composed of a flashing light and a frequency control component. The flashing light flashes at a preset frequency when a flood discharge warning occurs, and adjusts the flashing frequency or brightness so that it can still be clearly seen under low visibility conditions, such as at night, in haze or heavy rain. The light alarm component can automatically adjust the flash frequency and brightness according to the density of people and the real-time situation through the priority adjustment component, so as to ensure the visibility of the alarm information in different environments. In high-density areas or areas with limited vision, the frequency will be appropriately increased to improve the recognition of the alarm.

[0049] The visualization screen unit 13 can be used to display warning information and evacuation paths through a display screen at a designated location in the target flood discharge area, and the evacuation path is updated in real time according to the location information of the target object obtained by the positioning component. Specifically, the visualization screen unit is used to display warning information and evacuation paths through a display screen at a designated location in the target flood discharge area. The unit includes multiple display screens and their control components, and dynamically displays real-time warning information, evacuation routes and emergency instructions through the collaborative work with the positioning component and the data fusion component. The display of the evacuation path depends on the real-time location information of the target object. After the system obtains the location of the target object through the positioning component, it combines the data of dynamic analysis to calculate the safest and fastest evacuation route. The evacuation path on the display screen not only indicates the exit direction, but also dynamically adjusts according to different environments and real-time data, such as road congestion, flood spread, etc., to ensure that the evacuation channel is always effective. For different target groups, the display of the evacuation path will be adapted to different ways. For example, for pedestrians, a walking route is provided through a display screen; for vehicles, appropriate traffic signs are provided to guide vehicles to quickly leave the dangerous area. In addition, the display unit can also display information from the data collection component, such as real-time water levels, weather changes, and other emergency response measures, ensuring that personnel in the target area can obtain comprehensive emergency information. By working in conjunction with other units of the multi-mode broadcast component, the display can update information in a timely manner to respond to changing disaster situations in real time.

[0050] In some embodiments, the evacuation path displayed by the visualization screen unit is updated in real time according to the location information of the target object acquired by the positioning module, which specifically includes the following technical steps:

[0051] The first step is to obtain the real-time location information P of the target object according to the positioning module target (t) = (x target (t),y target (t)) and the obstacle position, where t represents time and x target (t) and y target (t) represent the horizontal and vertical coordinates of the target object at time t respectively.

[0052] Specifically, according to the real-time location information of the target object obtained by the positioning module, the current location of the target object is first obtained through precise positioning technology. The location information includes the coordinates of the target object at a specific time. By working in collaboration with communication base stations and intelligent terminals, the location data of the target object can be updated at any time to ensure accuracy and real-time performance in complex environments. By continuously tracking the dynamic location of the target object, data support is provided for subsequent path calculation to ensure that the real-time location of the target object is always under monitoring.

[0053] The second step is based on the real-time location information Ptarget (t) and the target position, through the path cost function:

[0054]

[0055] For the evacuation path P path (t)={(x1, y1), (x2, y2),..., (x m ,y m )} for real-time update, where d i represents the Euclidean distance between path nodes, g i represents the actual cost of reaching the path node, h i represents the heuristic estimated cost of the target node, α and β are adjustment factors, and n represents the number of path nodes.

[0056] Specifically, based on the real-time location information of the target object, the evacuation path is further optimized intelligently through the path cost function. The path cost function takes into account multiple factors, including the physical distance between path nodes, the actual cost of reaching the node, and the heuristic estimated cost. The path is dynamically adjusted according to these factors to select the shortest and lowest-cost evacuation route. By introducing adjustment factors, the path optimization strategy can be flexibly adjusted according to specific circumstances. For example, in areas with high population density, the requirements for path safety are increased to ensure that the evacuation process is both efficient and safe. This process not only takes into account the static environment, but also repeatedly calculates and corrects the path based on real-time data to maximize the practicality and emergency response capabilities of the evacuation path.

[0057] The third step is based on:

[0058]

[0059] Determine the impact of obstacles Based on the influence degree and the distance between each path node and the obstacle position, the position of the path node is updated, where (x i ,y i ) represents the path node position, Indicates the location of the obstacle. Indicates the radius of the obstacle.

[0060] Specifically, when updating the evacuation path in real time, the impact of obstacles on path planning must also be considered. By detecting and analyzing obstacles in the environment, the impact of obstacles on path nodes is calculated, and path planning is dynamically adjusted. The calculation of the impact is not only based on the distance between the obstacle and the path node, but also takes into account the type and size of the obstacle and the complexity of the surrounding environment. By continuously updating the position of the path node, the path is prevented from being blocked by obstacles or the path safety is reduced, ensuring that the evacuation route is always unobstructed.

[0061] In some embodiments, reference Figure 2 As shown, the priority adjustment module 3 may include a personnel density calculation unit 31 , a priority weight allocation unit 32 , a primary adjustment unit 33 and a secondary adjustment unit 34 .

[0062] in:

[0063] The personnel density calculation unit 31 can be used to calculate the personnel density based on the personnel distribution information according to:

[0064]

[0065] Determine the population density data ρ for each area i , where N i represents the number of people in the i-th area, A i Represents the area of ​​the i-th area. Specifically, the personnel density calculation unit determines the number of personnel in each area and the area they occupy by performing a detailed analysis of the personnel distribution information in the target area. Based on this, the personnel density of each area can be calculated, thereby providing basic data for subsequent priority allocation.

[0066] The priority weight allocation unit 32 may be used to allocate the priority weights based on the personnel density data according to:

[0067] p i =α′×ρ i +β′×h i

[0068] Assign a preliminary priority p to each region i , where α′ and β′ are preset weight coefficients, h i Represents the altitude of the i-th area. Specifically, the priority weight allocation unit assigns a preliminary priority to each area based on the data provided by the personnel density calculation unit. The priority is not only related to the personnel density, but also takes into account the altitude factor of the area. Through the preset weight coefficient, the priority weight allocation unit can assign reasonable priorities to different areas according to their personnel density and altitude. High-density areas and high-altitude areas will be given higher priorities to ensure that in flood discharge warnings, areas that are more affected and at higher risk can receive warning information first.

[0069] The primary adjustment unit 33 may be used according to:

[0070] P b =p i ×(1+γ′×Δρ i )

[0071] The initial priority is adjusted using the change in regional population density, where γ′ represents the dynamic adjustment coefficient and Δρi Indicates the change in regional population density, P b Represents the adjusted priority weight. Specifically, the priority adjustment unit further adjusts the initial priority according to the changes in the regional population density. The adjustment is based on the fluctuation of the population density in the area. By calculating the change, the adjustment coefficient dynamically reflects the impact of the increase or decrease in population density on the priority. As the population density changes, the priority weight will be increased or decreased in a timely manner to ensure that the system can respond to the impact of population density on the demand for early warning information in real time. The introduction of the dynamic adjustment coefficient allows the priority adjustment to not only consider the static population density, but also adapt to changes brought about by the flow of personnel.

[0072] The secondary adjustment unit 34 can be used to use the real-time position information provided by the positioning module according to:

[0073] P u =P b ×exp(-λ′×d i )

[0074] The adjusted priority weight P b Perform a quadratic adjustment, where λ′ represents the attenuation coefficient, d i Indicates the distance between the target object and the predetermined broadcast center. Specifically, the secondary adjustment unit uses the real-time location information of the target object provided by the positioning module to further optimize the priority after the initial adjustment. By calculating the actual distance between the target object and the predetermined broadcast center, the system can attenuate the priority according to the distance factor. For areas with a long distance, the priority weight will be gradually reduced by the attenuation coefficient to reflect the increase in the actual transmission difficulty. It ensures that the priority of the broadcast signal matches the actual location and propagation conditions of the target object, avoiding excessive interference with the broadcast content in distant areas.

[0075] In some embodiments, reference Figure 2 As shown, the directional warning module 5 may include a path identification unit 51, an information transmission optimization unit 52, a path tracking unit 53 and a path feedback unit 54. Among them:

[0076] The path identification unit 51 can be used to calculate the transmission path of the warning information according to the target object position information obtained by the positioning module. Specifically, the unit determines the optimal path of the warning information from the broadcast source to the target object by analyzing the real-time position of the target object and its movement trajectory. In this embodiment, the position of the target object at time t can be expressed as a three-dimensional vector p(t), where p(t)=[p x (t), p y (t), p z (t)] T, represents the coordinates of the target object in space. The velocity of the target object v(t) = [v x (t), v y (t), v z (t)] T It can be obtained through the positioning module. The velocity vector is used to describe the movement state of the target object in space. In the calculation of the warning information transmission path, it is assumed that the cost of the path is C(t). The cost function takes into account the movement of the target object and the obstacles in the surrounding environment. The form of the path cost function can be expressed as follows:

[0077]

[0078] Among them, f(p(t′)) represents the impact of the cost value of the path based on the target object position p(t′) and the dynamic factors of the environment, such as obstacles, terrain changes, etc. By optimizing the cost function, the path recognition unit determines the optimal path and adjusts the path in real time to ensure that the warning information can be delivered to the target object in the shortest time.

[0079] In addition, in some embodiments, the warning information transmission path is calculated based on the target object location information obtained by the positioning module, which specifically includes the following steps: based on the target object location information, the regional position of the target object in a preset area is obtained; based on the regional position and the preset broadcast area boundary, the shortest communication path between the target object and the multi-mode broadcast module is determined, and the communication path includes at least one relay node or forwarding point.

[0080] Specifically, by the boundary A with the preset area broadcast Compare to determine whether the target object is in the broadcast area. target (t)∈A broadcast , the target object is located in the broadcast area, and the subsequent path calculation step is entered. Calculate the shortest communication path between the target object and the broadcast module, assuming that the location of the multi-mode broadcast module is The shortest distance between the target object and the multi-mode broadcast module is calculated using the Euclidean distance formula:

[0081] d min (t)=‖p target (t)-p broadcast ‖

[0082] If there are obstacles between the target object and the broadcast module or the communication signal cannot reach directly, the shortest path needs to be optimized through relay nodes. Let the relay node set be R relay ={r1, r2, ..., r n}, the path passes through relay node r iWhen , the transmission quality of the path is optimized according to the signal attenuation. The optimized shortest path L min (t) can be expressed by the following formula:

[0083]

[0084] This optimization process effectively improves communication efficiency by taking into account signal propagation loss and path delay.

[0085] The information transmission optimization unit 52 can be used to optimize the propagation channel and signal strength in the transmission path based on the early warning information transmission path. Specifically, the unit is mainly used to adjust the propagation strength and propagation path of the signal to ensure that the information can maintain the best transmission quality under different environmental conditions. The propagation strength S(t) of the signal decays as the distance d(t) increases, and its mathematical expression is:

[0086]

[0087] Among them, S0 is the initial signal strength of the signal source, d(t) represents the distance between the target object and the signal source, Represents the propagation attenuation index, which can be determined by environmental factors such as air density, obstacles, and climatic conditions. In order to consider the impact of the environment on the signal, the propagation attenuation of the signal also needs to be combined with environmental factors, where A(t) is the environmental factor, which represents the degree of signal attenuation caused by factors such as weather, terrain, and obstacles. The impact of environmental factors can be expressed by the following integral formula:

[0088]

[0089] Among them, g(p(t′)) represents the influence function of environmental factors on signal propagation at time t′. By combining environmental factors with propagation attenuation, the final signal strength S f (t) can be expressed as:

[0090] S f (t) = S (t) × A (t)

[0091] By optimizing signal strength and propagation path, the information transmission optimization unit can ensure that warning information can still be transmitted efficiently and reliably in complex environments.

[0092] The path tracking unit 53 can be used to update the transmission path of the warning information in real time according to the movement of the target object. Specifically, the path tracking unit is mainly used to track the movement of the target object in real time and dynamically update the transmission path of the warning information. The motion state of the target object at time t is described by the velocity vector v(t), and the velocity vector is used to calculate the position change of the target object at each time. The position p(t) of the target object can be obtained by integrating the target velocity vector:

[0093]

[0094] Among them, p(t0) is the position of the target object at the initial time t0, and v(t′) is the speed of the target object at time t′. According to the speed and position information obtained in real time, the path tracking unit continuously updates the position of the target object and adjusts the transmission path of the warning information in real time. The update process of path tracking can be described by the following formula:

[0095] p new (t) = p old (t)+Δp(t)

[0096] Among them, p new (t) represents the updated target position, p old (t) represents the target position at the previous moment, and Δp(t) represents the displacement caused by the movement of the target object, which can be determined by the target's velocity vector and time step. The path tracking unit updates the position of the target object in real time and dynamically adjusts the transmission path of the warning information according to its position to ensure that the information can be accurately transmitted to the target.

[0097] The path feedback unit 54 can be used to dynamically adjust the transmission path of the warning information according to the response of the target object to the warning information. Specifically, the response of the target object can be represented by the response value R(t), where R(t)=1 indicates that the target object has responded to the warning, and R(t)=0 indicates that the target object has not responded. When the target object does not respond to the warning, the path feedback unit needs to increase the amplitude of the path adjustment, and vice versa. The adjustment amount Δp(t) of the path can be weighted and adjusted according to the response of the target object. The specific adjustment coefficient ω(t) changes dynamically according to the response of the target object, and is expressed as:

[0098]

[0099] Among them, ω(t) represents the path adjustment coefficient, and τ represents the adjustment parameter, which is used to control the sensitivity of path adjustment. The path feedback unit dynamically adjusts the path according to the response of the target to ensure the accuracy and timeliness of the warning information.

[0100] In some embodiments, reference Figure 2 As shown, the data fusion module 7 may include a signal fusion unit 71, a warning information generation unit 72 and a data transmission unit 73. Among them:

[0101] The signal fusion unit 71 can be used to receive a variety of real-time data from the multi-mode broadcast module, the positioning module and the environmental sensor, and perform fusion processing on the real-time data according to the weighted average method to generate fusion signal data S f , the fusion process is expressed as:

[0102]

[0103] Among them, X i represents the i-th data source, α i represents the weight coefficient of the i-th data source, and the weight coefficient α i according to:

[0104]

[0105] Determine, where Var(X j ) represents the variance of the j-th data source.

[0106] Among them, the signal fusion unit is mainly used to receive real-time information from different data sources and perform weighted fusion processing on it. Specifically, the unit integrates the real-time data from the multi-mode broadcast module, positioning module and environmental sensor through the weighted average method to generate an optimized fusion signal. By dynamically adjusting the weight coefficient of each data source, the fusion result is optimized according to the volatility and credibility of the data source, thereby improving the accuracy and reliability of the final signal, ensuring that the system can respond to environmental changes and provide more accurate warning information.

[0107] The warning information generating unit 72 can be used to generate the warning information based on the fused signal data S f Generate warning information W according to:

[0108]

[0109] Generate warning information W, where F(S f , T e ) represents the warning information generation function, S f represents the signal fusion result, T e Represents environmental parameters.

[0110] Among them, the warning information generation unit performs comprehensive calculations on the fusion signal by applying a predetermined generation function according to the relationship between the fusion signal data and the environmental parameters, thereby generating warning information suitable for the current environmental conditions. Therefore, the generation of warning information not only takes into account information from different data sources, but also adjusts according to real-time environmental changes to ensure that the output warning information has high accuracy and timeliness.

[0111] The data transmission unit 73 can be used to transmit the warning information to the multi-mode broadcast module through a variety of communication channels. Specifically, the data transmission unit can select and transmit the warning information to the multi-mode broadcast module through the best communication channel. Exemplarily, the unit can automatically switch the transmission path according to the real-time changes in the communication environment. Whether it is through wireless signals, satellite communications or the Internet, the data transmission unit can maintain a highly stable and low-latency transmission effect to improve the reliability and speed of information transmission.

[0112] In some embodiments, reference Figure 2 As shown, the flood discharge warning system based on multi-mode broadcasting also includes a self-organizing network module 8, which can be used to automatically form and manage a temporary wireless communication network in an environment lacking communication infrastructure to ensure real-time transmission of warning information.

[0113] Specifically, the self-organizing network module 8 can automatically discover available nodes around and self-organize to establish a temporary wireless communication network to ensure the transmission of warning information in an environment without traditional communication infrastructure. The module first scans and identifies the surrounding nodes, and dynamically selects the optimal transmission path using distributed routing protocols (such as AODV, OLSR). Each node decides whether to forward data based on the surrounding network conditions. The network topology management function ensures that node connections are dynamically adjusted during operation to avoid communication interruptions caused by node failure. At the same time, the module uses a reliable transmission mechanism and a retry mechanism to ensure that warning information can be successfully delivered in the event of signal interference or network congestion.

[0114] In some embodiments, reference Figure 2 As shown, the self-organizing network module 8 may include a node creation unit 81, a data interaction unit 82, a node monitoring and management unit 83, and a network topology adjustment unit 84. Among them:

[0115] The node creation unit 81 can be used to automatically establish a temporary wireless ad hoc network in an environment where communication infrastructure is missing, through wireless signal connections between device nodes. Among them, the environment where communication infrastructure is missing can be represented by an environment in which traditional communication infrastructure, such as base stations, Internet access points, communication towers, switches, routers, etc., cannot be provided or are not deployed in a specific area. In this environment, the existing communication network cannot achieve effective signal transmission or information exchange, resulting in the inability to use conventional communication means. Specifically, the node creation unit communicates through wireless signal connections between each device node, and evaluates the signal strength and quality of each device through an adaptive signal reception algorithm. When the network is initialized, each node first enters a scanning mode to identify surrounding device nodes and determine their signal strength and communication capabilities. These nodes recognize each other with nearby devices through broadcast signals in the initial stage, and establish preliminary adjacency relationships based on information such as signal strength and communication quality between devices. In this way, the node creation unit can quickly form a preliminary network topology. Between device nodes with good signal quality and strong communication capabilities, connections are made and a first-level communication link is established. When a node successfully establishes connections with multiple nodes, the node creation unit will select the best node as a relay node based on the current network connection status and the signal quality of each device to expand the network coverage. At this time, the wireless communication frequency band and power of each device node are dynamically adjusted according to the real-time needs of the ad hoc network environment to optimize the signal coverage and data transmission quality of the entire network. The node creation unit will adjust the node connection mode in real time through a low-latency feedback mechanism during the communication process to ensure that the network can continue to work stably in a dynamically changing environment.

[0116] The data interaction unit 82 can be used to perform data interaction between each device node through a wireless ad hoc network. Specifically, the data interaction unit can use a distributed routing protocol in the ad hoc network, such as the AODV (Ad-hoc On-demand Distance Vector) protocol or the OLSR (Optimized Link State Routing) protocol to realize dynamic data routing. Each device node evaluates the optimal data forwarding path based on its own positioning information, the received signal quality, and the information of the connected node. When a device node receives a data request from another node, the data interaction unit determines the data transmission path based on the network topology and the current signal status. The path is the result of comprehensive consideration of multiple factors such as transmission delay, bandwidth between nodes, and link quality. The data interaction unit can also have data caching and transmission optimization functions. For network interruptions or packet loss during transmission, the data to be transmitted is temporarily stored using caching technology, and retransmitted when the network is restored or the link quality is improved to ensure reliable data transmission. In order to adapt to network requirements in different environments, the data interaction unit can also dynamically adjust the size of the data packet, the transmission frequency, and the routing selection according to the changes in data traffic to improve data transmission efficiency and reduce unnecessary delays.

[0117] The node monitoring and management unit 83 can be used to monitor the communication status of each device node in the wireless ad hoc network, and obtain the signal strength and connection quality of the node in real time. The unit collects information such as the signal strength, communication quality, network load and connection status of each device node to fully grasp the real-time operation status of each node in the network. Specifically, the node monitoring and management unit regularly sends signal quality detection packets to each device node, and calculates key performance indicators such as signal strength, signal-to-noise ratio (SNR), and throughput of each node based on the received feedback information. For nodes with poor performance or weak signals, the node monitoring and management unit can issue a warning signal and automatically adjust the communication strategy of these nodes, such as increasing the transmission power, switching to a more suitable communication channel, or reallocating it to a more suitable network location. The node monitoring and management unit can also have a self-repair function. When a node fails or the network is interrupted, it can automatically detect and find alternative nodes to ensure the connectivity of the entire network. In addition, the unit can continuously monitor the performance changes of each node through an adaptive algorithm, and use a machine learning model to predict and adjust to optimize the stability and traffic balance of the network. To cope with network fluctuations caused by environmental changes, the node monitoring and management unit also dynamically adjusts network parameters, such as scheduling frequency, signal enhancement level, etc., to ensure that the entire network can still operate stably in complex environments.

[0118] The network topology adjustment unit 84 can be used to dynamically adjust the network topology of the wireless ad hoc network according to the communication status. The unit obtains the performance data of each node in the network in real time and uses the optimization algorithm to accurately adjust the network topology. After the network is started, the network topology adjustment unit can adjust the network topology according to the communication quality between the nodes, the signal strength of the nodes, the node load, etc. Specifically, the network topology adjustment unit automatically identifies the unstable or weak signal parts in the network topology by analyzing the bottleneck position or communication obstacle point in the network, and readjusts the connection mode of these parts, such as by selecting a better relay node, improving the connection mode between nodes, or reconfiguring the frequency band and transmission power, so as to avoid data bottlenecks or transmission interruptions. The network topology adjustment unit can also predict the load of the network in the future period of time based on the deep learning algorithm, and optimize the network path in advance according to the estimated results. When some nodes in the network are overloaded or the signal quality decreases, the topology adjustment unit will automatically adjust the route to avoid excessive concentration of traffic on some nodes, thereby improving the load balancing ability and transmission efficiency of the network. The unit can also dynamically adjust the network topology based on information such as the remaining power of the node, device type, and priority to ensure the efficient operation of the entire ad hoc network.

[0119] In some embodiments, the flood discharge warning system based on multi-mode broadcast also includes a risk value prediction module, which can be used to predict the flood discharge risk value based on real-time environmental data, historical flood discharge events and prediction models, and send the flood discharge risk value to the data fusion module to provide risk information for the generation of warning information.

[0120] Among them, real-time environmental data can represent various data related to the environment obtained in real time during the operation of the system, including but not limited to meteorological information (such as rainfall, temperature, wind speed), hydrological information (such as water level, flow), geological information (such as topography, soil moisture), etc. Historical flood events can represent data records of flood events that occurred in the past collected and stored by the system. These records contain information such as the time, location, environmental conditions, impact range, and loss of the flood events, which are used to analyze and predict possible future flood risks. The prediction model can represent an algorithm structure built based on machine learning, deep learning, or statistical regression technology, which is used to analyze and learn the correlation between real-time environmental data and historical flood event data. The output value generated by the model is the flood risk value. The flood risk value can represent a value calculated by the risk value prediction module, which indicates the possibility and severity of a flood disaster in a certain area or a certain time period, and is used to guide the generation of warning information and the adjustment of the broadcast range.

[0121] For example, the risk value prediction module can use a combination of a deep neural network and a recursive neural network to predict the flood discharge risk value. The prediction process of the model can be expressed as:

[0122]

[0123] Among them, R flood (t) represents the flood risk value at time t; X(t) = [X1(t), X2(t), ..., X n (t)] T The feature vector representing the real-time environmental data at time t contains multiple environmental variables, such as water level, precipitation, flow, etc.; H = [h1, h2, ..., h k ] T The data matrix representing historical flood events, h i is the data vector of the ith historical flood discharge event; Z env (t) represents the nonlinear transformation of the environmental variables at time t, and features are extracted and mapped through a deep neural network layer; Z historical (t) represents the time series transformation of historical flood discharge event data, and recursive neural network is used for time series learning and data fitting.

[0124] Furthermore, the environmental data X(t) is passed through a deep neural network layer And the activation function f env Processing, and through nonlinear mapping to obtain the high-dimensional representation Z of the environmental data env (t), that is:

[0125]

[0126] Among them, f env (·) represents a nonlinear activation function (such as ReLU or Sigmoid), Represents the network layer that has undergone convolution, full connection, etc.

[0127] Historical flood event data H and the risk prediction value R at the previous moment flood (t-1) is input into the recurrent neural network for time series learning. Through time recursion, historical data and the risk prediction value of the previous moment are combined into the time series transformation data Z historical (t), the process can be expressed as follows:

[0128]

[0129] Among them, f historical (·) is the activation function of the RNN layer, It is the temporal calculation process of the recurrent network.

[0130] The environmental data Z after feature extraction env (t) and historical data Z historical (t) After merging, a fully connected layer is used and a final nonlinear activation function f final , and perform the final risk value prediction calculation. The calculation process can be expressed as:

[0131]

[0132] in, represents the fully connected layer, f final (·) represents the activation function of the output layer, which is used to map the predicted value to the final risk value R flood (t). After receiving the flood risk value, the data fusion module will automatically adjust the warning intensity, broadcast content and broadcast range of the warning information based on the flood risk value. Specifically, when the flood risk value is high, the warning intensity is increased, the broadcast range is expanded, and detailed warning content (such as flood discharge area, water level changes, evacuation routes, etc.) is provided. On the contrary, if the risk value is low, the warning intensity will be reduced, the broadcast range will be reduced, and the warning content will be simplified.

[0133] The flood discharge warning system based on multi-mode broadcast in the above-mentioned embodiment, based on the real-time data collection and fusion processing of multiple data sources, can accurately determine the location of the target object, and dynamically adjust the release method and priority of the warning information according to environmental changes, thereby ensuring efficient emergency response under various complex environmental conditions.

[0134] First, the use of multi-mode broadcast modules to release warning information through wireless broadcast signals, sound and light signals, and visual screens can effectively cover a wide range of disaster-stricken areas, especially densely populated areas within the flood discharge area. The introduction of multi-mode broadcasting ensures that even when the broadcast signal is limited, the alarm information can still be transmitted through multiple channels, thereby avoiding omissions or miscommunication of information. Adjusting the broadcast range and priority based on the distribution of personnel can ensure that high-priority warning information is first transmitted in densely populated and high-risk areas to ensure the timely evacuation of personnel.

[0135] Secondly, the coordinated work of the positioning module and the directional warning module ensures that the flood discharge warning information can be accurately transmitted to the target object, and dynamically adjusts the warning path according to the real-time location of the target object and the surrounding environment, further improving the accuracy and timeliness of information transmission. Especially when the target object is moving, the path tracking and feedback mechanism can update the transmission path of the warning information in real time, ensuring that the alarm information can reach the area where the personnel are in time.

[0136] In addition, the priority adjustment module is used to dynamically adjust the broadcast priority of each area based on real-time population density data and other environmental factors. This adjustment can not only improve the accuracy of early warning information, but also respond quickly to changes in emergencies, ensuring the real-time and effectiveness of information transmission.

[0137] In an environment where communication infrastructure is missing, the self-organizing network module provides temporary wireless self-organizing network support, ensuring that the flood warning system can still operate normally without the existing communication infrastructure. The self-organizing network module can flexibly adjust the network structure according to the actual needs of the site and network conditions through means such as node creation, data interaction, node monitoring and network topology adjustment, so that the wireless communication network can always remain stable in a complex environment and can effectively transmit warning information.

[0138] Finally, the data fusion module generates unified warning information by integrating real-time data from multiple sensors, positioning modules, and broadcast modules, and applying weighted average and other fusion algorithms. This process ensures that information from different data sources can be accurately combined, avoiding the errors that may be caused by a single data source, and further enhancing the reliability and accuracy of the system.

[0139] To sum up, the flood discharge warning system based on multi-mode broadcasting in the present invention can effectively cope with complex geographical environments, weather changes and densely populated situations, ensure the accurate release and real-time response of flood discharge warning information, and greatly improve the emergency response efficiency and coverage accuracy in flood discharge events.

[0140] It should be noted that although several modules or units of the flood discharge warning system based on multi-mode broadcast are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0141] Secondly, in an exemplary embodiment of the present disclosure, a flood discharge warning method based on multi-mode broadcasting is also provided. Figure 3 As shown, the flood discharge warning method based on multi-mode broadcasting may include the following steps:

[0142] Step S310, obtaining the real-time location information of the target object through the communication base station and the intelligent terminal, and determining the transmission path of the warning information;

[0143] Step S320, adjusting the broadcast range of the multi-mode broadcast according to the personnel distribution information in the target flood discharge area;

[0144] Step S330, based on preset rules, dynamically adjusting the priority of the warning information according to the personnel distribution information;

[0145] Step S340, real-time data is collected from multiple data sources, and the real-time data is integrated and processed to generate warning information, and the warning information is released through wireless broadcast signals, sound and light signals and visual screens.

[0146] The above-mentioned flood discharge warning method based on multi-mode broadcasting is further described below in an exemplary embodiment.

[0147] First, the real-time location information of the target object is obtained through the communication base station and the intelligent terminal to determine the transmission path of the warning information. The determination of this path is based on the location of the target object, the boundary of the flood discharge area, and the coverage of the broadcast system, so as to ensure that the warning information can be accurately transmitted to the target object. Then, according to the distribution information of personnel in the target flood discharge area, the broadcast range of the multi-mode broadcast is dynamically adjusted to ensure that in the flood discharge event, the broadcast signal can cover all high-risk areas and places with dense personnel to achieve comprehensive coverage. Subsequently, based on the preset rules and combined with the distribution information of personnel, the broadcast priority of the warning information is dynamically adjusted. The adjustment of priority is not only based on the density of personnel, but also takes into account the level of flood discharge risk and the danger of different areas, so as to ensure that the most urgent warning information is first conveyed to the target object that needs it most. Finally, real-time data is collected from multiple data sources, including environmental sensor data, meteorological information, and water level monitoring data, and these real-time data are processed through data fusion technology to generate accurate flood discharge warning information. This information is released in multiple ways through wireless broadcast signals, sound and light signals, and visual screens to ensure that all target objects can receive accurate warning information in a timely manner in various environments and make corresponding emergency preparations.

[0148] It should be noted that, although the steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0149] In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above-mentioned flood discharge warning method based on multi-mode broadcasting is also provided.

[0150] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: complete hardware embodiments, complete software embodiments (including firmware, microcode, etc.), or embodiments combining hardware and software aspects, which may be collectively referred to herein as "circuits", "modules" or "systems".

[0151] Refer to the following Figure 4 hereinafter describes an electronic device 400 according to such an embodiment of the present disclosure. Figure 4 The electronic device 400 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0152] like Figure 4 As shown, the electronic device 400 is in the form of a general computing device. The components of the electronic device 400 may include but are not limited to: the at least one processing unit 410, the at least one storage unit 420, a bus 430 connecting different system components (including the storage unit 420 and the processing unit 410), and a display unit 440.

[0153] The storage unit stores program codes, which can be executed by the processing unit 410, so that the processing unit 410 performs the steps according to various exemplary embodiments of the present disclosure described in the above “Exemplary Method” section of this specification. The storage unit 420 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 421 and / or a cache storage unit 422, and may further include a read-only storage unit (ROM) 423.

[0154] The storage unit 420 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0155] Bus 430 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0156] The electronic device 400 may also communicate with one or more external devices 470 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 400, and / or may communicate with any device that enables the electronic device 400 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 450. Furthermore, the electronic device 400 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 460. As shown, the network adapter 460 communicates with other modules of the electronic device 400 via a bus 430. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0157] Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described here can be implemented by software, or by combining software with necessary hardware.

[0158] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible embodiments, various aspects of the present disclosure can also be implemented in the form of a program product, which includes a program code. When the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary embodiments of the present disclosure described in the above "Exemplary Method" section of the present specification.

[0159] refer to Figure 5 As shown, a program product 500 for implementing the above-mentioned flood discharge warning method based on multi-mode broadcasting according to an embodiment of the present disclosure is described, which can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus, or a device.

[0160] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0161] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0162] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0163] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A flood discharge warning system based on multi-mode broadcasting, characterized in that: include: Multi-mode broadcast module, used to release warning information through wireless broadcast signals, sound and light signals and visual screens; A range adjustment module, used for adjusting the broadcast range of the multi-mode broadcast module according to the personnel distribution information in the target flood discharge area; A priority adjustment module, used to adjust the broadcast priority of the multi-mode broadcast module according to a preset rule, wherein the priority is determined based on the personnel distribution information provided by the range adjustment module; A positioning module, used to obtain real-time location information of a target object through a communication base station and an intelligent terminal, and send the location information to the multi-mode broadcast module; A directional warning module, used to determine a transmission path of the warning information issued by the multi-mode broadcast module based on the location information of the target object obtained by the positioning module; A data collection module, used for collecting a variety of real-time data from the multi-mode broadcast module, the positioning module and the environmental sensor; The data fusion module is used to fuse the multiple real-time data to generate the warning information and transmit the warning information to the multi-mode broadcast module.

2. The flood discharge warning system based on multi-mode broadcasting according to claim 1 is characterized in that: The multi-mode broadcast module comprises: A wireless broadcast signal unit, used to send warning information to receiving equipment in the target flood discharge area through broadcast signals within a preset frequency band; an audible and visual signal unit, configured to release the warning information through a siren and a flashing light, wherein the siren emits an audible alarm and the flashing light flashes at a preset frequency, and the frequencies of the audible alarm and the flashing light are automatically adjusted by the priority adjustment module according to the density of people in the target area and the real-time status; A visualization screen unit is used to display the warning information and evacuation path through a display screen at a designated location within the target flood discharge area, and the evacuation path is updated in real time according to the location information of the target object obtained by the positioning module.

3. The flood discharge warning system based on multi-mode broadcasting according to claim 2 is characterized in that: The evacuation path is updated in real time according to the location information of the target object acquired by the positioning module, including: According to the positioning module, the real-time position information P of the target object is obtained. target (t) = (x target (t), y target (t)) and the obstacle position, where t represents time and x target (t) and y target (t) represents the horizontal and vertical coordinates of the target object at time t; Based on the real-time location information P target (t) and the target position, through the path cost function: For the evacuation path P path (t)={(x1, y1), (x2, y2),..., (x m ,y m )} for real-time update, where d i represents the Euclidean distance between path nodes, g i represents the actual cost of reaching the path node, h i represents the heuristic estimated cost of the target node, α and β are adjustment factors, and n represents the number of path nodes; according to: Determine the impact of obstacles Based on the influence degree and the distance between each path node and the obstacle position, the position of the path node is updated, where (x i ,y i ) represents the path node position, Indicates the location of the obstacle. Indicates the radius of the obstacle.

4. The flood discharge warning system based on multi-mode broadcasting according to claim 1 is characterized in that: The priority adjustment module comprises: A personnel density calculation unit is used to calculate the personnel density based on the personnel distribution information according to: Determine the population density data ρ for each area i , where N i represents the number of people in the i-th area, A i represents the area of ​​the ith region; The priority weight allocation unit is used to allocate the following based on the personnel density data: p i =α′×ρ i +β′×h i Assign a preliminary priority p to each region i , where α′ and β′ are preset weight coefficients, h i represents the altitude of the ith region; Primary adjustment unit for: P b =p i ×(1+γ′×Δr i ) The preliminary priority is adjusted using the change in regional population density, where γ′ represents the dynamic adjustment coefficient, Δρ i Indicates the change in regional population density, P b represents the adjusted priority weight; The secondary adjustment unit is used to use the real-time position information provided by the positioning module according to: P u =P b ×exp(-λ′×d i ) The adjusted priority weight P b Perform a quadratic adjustment, where λ′ represents the attenuation coefficient, d i Indicates the distance between the target object and the intended broadcast center.

5. The flood discharge warning system based on multi-mode broadcasting according to claim 1 is characterized in that: The directional warning module includes: A path identification unit, used to calculate a transmission path of the warning information according to the target object location information obtained by the positioning module; An information transmission optimization unit, configured to optimize a propagation channel and a signal strength in the transmission path based on the warning information transmission path; A path tracking unit, used to update the transmission path of the warning information in real time according to the movement of the target object; The path feedback unit is used to dynamically adjust the transmission path of the warning information according to the response of the target object to the warning information.

6. The flood discharge warning system based on multi-mode broadcasting according to claim 5 is characterized in that: The step of calculating the warning information transmission path according to the target object location information acquired by the positioning module includes: Based on the target object location information, obtaining the regional location of the target object in a preset area; According to the area location and the preset broadcast area boundary, the shortest communication path between the target object and the multi-mode broadcast module is determined, and the communication path includes at least one relay node or forwarding point.

7. The flood discharge warning system based on multi-mode broadcasting according to claim 1 is characterized in that: The data fusion module comprises: The signal fusion unit is used to receive a variety of real-time data from the multi-mode broadcast module, the positioning module and the environmental sensor, and fuse the real-time data according to the weighted average method to generate fused signal data S f , the fusion process is expressed as: Among them, X i represents the i-th data source, α i represents the weight coefficient of the i-th data source, and the weight coefficient α i according to: Determine, where Var(X j ) represents the variance of the j-th data source; The warning information generating unit is used to generate a warning information based on the fusion signal data S f Generate warning information W according to: Generate warning information W, where F(S f , T e ) represents the warning information generation function, S f represents the signal fusion result, T e Indicates environmental parameters; A data transmission unit is used to transmit the warning information to the multi-mode broadcast module through multiple communication channels.

8. The flood discharge warning system based on multi-mode broadcasting according to claim 1 is characterized in that: Also includes: The self-organizing network module is used to automatically form and manage a temporary wireless communication network in an environment where there is a lack of communication infrastructure, so as to ensure the real-time transmission of the warning information.

9. The flood discharge warning system based on multi-mode broadcasting according to claim 8 is characterized in that: The self-organizing network module includes: A node creation unit, used to automatically establish a temporary wireless ad hoc network through wireless signal connections between device nodes in an environment lacking communication infrastructure; A data interaction unit, used for performing data interaction between the device nodes through the wireless ad hoc network; A node monitoring and management unit, used to monitor the communication status of each device node in the wireless ad hoc network and obtain the signal strength and connection quality of the node in real time; A network topology adjustment unit is used to dynamically adjust the network topology of the wireless ad hoc network according to the communication status.

10. A flood discharge warning method based on multi-mode broadcasting, characterized in that: include: Obtain the real-time location information of the target object through the communication base station and the intelligent terminal, and determine the transmission path of the warning information; Adjust the broadcast range of multi-mode broadcasting according to the personnel distribution information in the target flood discharge area; Based on preset rules, dynamically adjust the priority of the warning information according to the personnel distribution information; Real-time data is collected from multiple data sources, and the real-time data is fused and processed to generate the warning information, which is then released via wireless broadcast signals, sound and light signals, and a visual screen.

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