Alarm receiving machine convenient to move

Abstract

The invention discloses an alarm receiving machine convenient to move, which relates to the field of wireless communication, and comprises an alarm receiving control module which is used for docking a police service network, controlling the start and stop of each functional module after passing identity verification, and is compatible with a storage database for storing, collecting and analyzing data; the region division module is used for determining a signal coverage range, dividing the coverage range into a plurality of regions, setting a region ID, and defining an alarm receiving radiation range based on the state data of the region deployed by the alarm receiving control module; the path planning module is used for setting a default moving path according to regional division and historical path planning data; a vehicle carrying an alarm receiver can quickly arrive at an event site, the alarm receiving vehicle can move among a plurality of areas and effectively capture alarm information by setting an alarm receiving radiation range and dynamically dividing the areas, and future alarm events are predicted according to historical data and current conditions by constructing a deep learning prediction model, and resource allocation is optimized.

Description

Technical Field

[0001] The invention relates to the technical field of wireless communications, in particular to a mobile alarm receiver. Background Art

[0002] The alarm receiver is used to obtain various alarm and monitoring data, receive, process and analyze various alarm data, and send out alarm signals as needed, ultimately realizing early warning and response to potential dangers. It has the function of receiving various popular alarm communication formats and is compatible with most alarm controllers on the market. After receiving the alarm information, it transmits the alarm information to the alarm receiving platform, which will immediately receive the alarm and take action.

[0003] When the police inspection vehicle is on patrol, if the command center receives a police situation, it is generally redistributed through the command center, and there is a certain lag in the analysis of police force. The initial notified personnel cannot always maintain sufficient mobility and need to be redeployed. Under the condition of tight police force, such redeployment will further delay the police situation. If the police inspection vehicle is directly equipped with an alarm receiver, it can receive and broadcast the police situation and directly participate in the handling of police incidents outdoors. Traditional alarm receiving systems often rely on equipment in fixed locations, resulting in a slow response speed when handling emergencies. Insufficient signal coverage in some areas makes it difficult to achieve comprehensive monitoring. The alarm and environmental data of the existing system often cannot be collected and analyzed in real time, resulting in the inability to quickly obtain and process information when an incident occurs. There are difficulties in integrating different data sources, resulting in incomplete grasp of real-time information.

[0004] Current patrol or response paths are often static and difficult to adjust in advance by predicting future situations. Many existing systems can only process historical event data and lack future prediction capabilities based on big data analysis. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings of the prior art, the present invention provides a portable alarm receiver, which can effectively solve the problems of the prior art.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0009] The invention discloses a mobile alarm receiving machine, comprising:

[0010] The alarm control module is used to connect to the police network. After identity verification, it can start and stop each functional module. It is compatible with a storage database equipped with storage and analysis data.

[0011] The area division module is used to determine the signal coverage range, divide the coverage range into several areas, set the area ID, and define the alarm radiation range based on the area status data deployed by the alarm control module;

[0012] The path planning module is used to set the default moving path according to the regional division and historical path planning data;

[0013] The mobile control module is used to receive mobile path instructions, control the moving direction and speed, access the vehicle navigation system, and guide the target location;

[0014] The information receiving module is used to obtain the information receiving authority of the alarm data, environmental data and location data of several data sources in the area within the alarm radiation range, and open data receiving after passing the verification;

[0015] The acquisition and processing module is used to collect alarm data, environmental data and location data in real time within the alarm radiation range according to a preset cycle, perform preliminary classification, clean and analyze the collected data, extract key information, store the processed data in the database, and back it up;

[0016] The status analysis module is used to analyze the alarm event processing status of each area, calculate the current alarm processing completion rate of the area, and predict the future alarm processing completion rate;

[0017] The path adjustment module is used to adjust the moving path according to the alarm information collection, the current alarm processing completion degree, the future alarm processing completion degree and the current alarm receiving position;

[0018] The data uploading module is used to upload the adjustment data of the obtained moving path to the alarm control module and visualize the application of the data;

[0019] The permission control module is used to perform security authentication of collection permissions and obtain the reading and downloading of surveillance video and alarm information data within the authorized scope according to the permission level.

[0020] Furthermore, the status data of the area where the alarm control module is deployed includes: signal strength, terrain and buildings, alarm resources, frequency of alarm occurrence, population density and road network.

[0021] Furthermore, the working logic of the path planning module includes: reading historical driving trajectories and alarm location data, analyzing historical data, identifying areas where the alarm frequency reaches a threshold and areas where the influence coefficient reaches a threshold, combining the current alarm distribution, area division and default path planning, and generating a default mobile path plan. The default path plan includes: patrol time and route for each area, and connection paths between areas.

[0022] Furthermore, the data sources of the information receiving module include: alarm system, public monitoring system, access control alarm and fire alarm. When the information receiving module preliminarily classifies the alarm information, it identifies the alarm type and records the time, location and content of the event.

[0023] Furthermore, the process of calculating the regional alarm processing completion degree by the status analysis module is: counting the number of processed alarm events and the number of unprocessed alarm events in each region, and calculating the ratio of the number of processed events to the total number of events.

[0024] Furthermore, in the process of calculating the future alarm processing completion degree of the status analysis module, by analyzing the regional alarm processing status, identifying the areas that need priority processing, building a prediction model, inputting the current environmental variables, alarm data and resource availability information, the model outputs the number of future alarms and the expected processing completion ratio, and calculates and outputs the future alarm processing completion degree according to the preset period.

[0025] Furthermore, the prediction model is constructed by a deep learning algorithm to perform data induction, and the induction process includes: collecting historical alarm event data, analyzing the time, location, event type, and processing status information, recording the processing time of each alarm event, including the alarm receiving time, processing start time, and processing completion time, recording weather conditions and traffic conditions data, collecting resource allocation information related to alarm response, and analyzing the number of available police officers and equipment status;

[0026] Remove redundant or erroneous data from the summarized data, fill in missing values, and standardize the data format, and extract features from the original summarized data, including: the frequency of alarm events, the changing trend of alarms per unit time, the mean processing time of different event types, the resource availability during the event, and the change history of the processing status.

[0027] Furthermore, the prediction model calculates the alarm change trend in a preset future time period using the following formula:

[0028]

[0029] In the formula, P(t+Q) represents the prediction result of the alarm change trend in the future period, Q represents the preset future time period, a represents the adjustment factor of the prediction model, F(t) represents the alarm event frequency, D(t) represents the alarm quantity change trend, and represents the change rate of the alarm event in unit time. j (t) represents the number of alarm events of a specific event type j occurring at time t, T j represents the average processing time of different event types j, R maxrepresents the maximum number of processing resources allowed by the system, R(t) represents the number of processing resources available at time t, S(t) represents the change history of the alarm event processing status, W(t) represents the weather status at time t, and C(t) represents the traffic status at time t.

[0030] Furthermore, the specific logic of the path adjustment module to adjust the mobile path is: give priority to areas with low processing completion and areas where new alarm events are located, use traffic conditions and weather data as reference items, compare the current location with the default path, and calculate and output the optimal route adjustment plan based on preset indicators.

[0031] Furthermore, the alarm control module is interactively connected to the area division module, the mobile control module and the information receiving module through a wireless network, the path planning module is interactively connected to the area division module, the mobile control module and the path adjustment module through a wireless network, the acquisition and processing module is interactively connected to the information receiving module and the authority control module through a wireless network, the status analysis module is interactively connected to the acquisition and processing module, the path adjustment module and the data upload module through a wireless network, and the authority control module is connected to the alarm control module through an electrical medium.

[0032] (III) Beneficial effects

[0033] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:

[0034] 1. Through dynamic path planning and integration with the vehicle navigation system, the driving route is automatically adjusted to respond to sudden alarms, so that vehicles equipped with alarm receivers can quickly reach the scene of the incident, significantly reducing the response time. By setting the alarm radiation range and dynamically dividing the area, the alarm vehicle can move between multiple areas and effectively capture alarm information, improving the signal coverage and monitoring capabilities of each area and reducing blind spots.

[0035] 2. By collecting information from multiple data sources at preset cycles within the alarm radiation range, using data cleaning and preliminary classification technology to quickly process information, collect, classify and analyze alarm data in real time, ensure rapid acquisition of key information, and then build a deep learning prediction model to analyze the regional alarm processing status and identify priority processing areas, thereby improving the overall emergency response efficiency, being able to predict future alarm events based on historical data and current conditions and optimize resource allocation.

[0036] 3. By adjusting the mobile path in real time based on the current situation, giving priority to areas with low processing completion or new alarm situations, the path planning of vehicles equipped with alarm receivers is more flexible and can adapt to various environmental changes and new alarm events. Through authority control, data from the alarm system, public monitoring system and other sources are obtained, and information is integrated in real time to support decision-making. Multiple data sources are integrated to ensure the comprehensiveness and accuracy of information.

[0037] 4. By implementing a collection authority security authentication mechanism, the reading and downloading authority of surveillance videos and alarm information is obtained according to the authority level, which improves the security of data and ensures that the authority to obtain and use data is reasonably controlled. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0039] Figure 1 It is a schematic diagram of the framework of the present invention.

[0040] The numbers in the figure represent, respectively, 1. Alarm control module; 2. Area division module; 3. Path planning module; 4. Mobile control module; 5. Information receiving module; 6. Collection and processing module; 7. Status analysis module; 8. Path adjustment module; 9. Data upload module; 10. Authority control module. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0042] The present invention will be further described below in conjunction with the embodiments.

[0043] Example 1

[0044] A mobile alarm receiver according to this embodiment, such as Figure 1 As shown, including:

[0045] The alarm control module 1 is used to connect to the police network. After identity verification, it starts and stops each functional module. It is compatible with a storage database that stores collected and analyzed data. The deployed area status data includes: signal strength, terrain and buildings, alarm resources, alarm frequency, population density and road network; it provides a basis for subsequent decision-making, making the processing process more scientific and efficient;

[0046] The area division module 2 is used to determine the signal coverage range, divide the coverage range into several areas, and set the area ID. Based on the regional status data deployed by the alarm control module 1, the alarm radiation range is defined; ensuring that police resources are reasonably allocated in key areas, improving the efficiency of resource use, and avoiding waste of resources;

[0047] Path planning module 3 is used to set the default moving path according to the regional division and historical path planning data; the working logic of path planning module 3 includes: reading the historical driving trajectory and the location data of the alarm occurrence, analyzing the historical data, identifying the areas where the alarm frequency reaches the threshold and the areas where the influence coefficient reaches the threshold, combining the current alarm distribution, regional division and default path planning, and generating the default moving path plan, the default path plan includes: the patrol time and route of each area, and the connection path between areas; through the analysis of historical data, high-frequency alarm areas can be found and patrol routes can be set preferentially, which effectively improves the ability to respond to emergencies;

[0048] The mobile control module 4 is used to receive mobile path instructions, control the moving direction and speed, and access the vehicle navigation system to guide the target position; by receiving the mobile path instructions and controlling the moving direction and speed, and integrating with the vehicle navigation system, the alarm receiver can quickly and efficiently reach the target position in a complex environment, reducing the reaction time and improving the overall response efficiency;

[0049] The information receiving module 5 is used to obtain the information receiving authority of the alarm data, environmental data and location data of several data sources in the area within the alarm radiation range, and open the data receiving after verification; the data sources of the information receiving module 5 include: alarm system, public monitoring system, access control alarm and fire alarm. When the information receiving module 5 performs preliminary classification of the alarm information, it identifies the alarm type and records the time, location and content of the event; by obtaining the alarm information of multiple data sources and identifying the type of alarm and its importance through preliminary classification, it ensures the rapid and accurate reception of the alarm information, so that the response measures can be carried out quickly;

[0050] The acquisition and processing module 6 is used to collect alarm data, environmental data and location data in real time within the alarm radiation range according to a preset period, perform preliminary classification, clean and analyze the collected data, extract key information, store the processed data in the database, and back up;

[0051] The state analysis module 7 is used to analyze the alarm event processing status of each area, calculate the current alarm processing completion degree of the area, and predict the future alarm processing completion degree; the process of calculating the regional alarm processing completion degree is: counting the number of processed alarm events and the number of unprocessed alarm events in each area, and calculating the proportion of processed events to the total number of events; in the process of calculating the future alarm processing completion degree, by analyzing the regional alarm processing status, identifying the areas that need to be processed first, building a prediction model, inputting the current environmental variables, alarm data and resource availability information, the model outputs the future alarm number, and the expected processing completion ratio, and calculates and outputs the future alarm processing completion degree according to the preset cycle; effectively monitoring the development and processing of the police situation, providing a data basis for police decision-making, so that processing resources can be allocated more accurately during high-pressure periods;

[0052] The path adjustment module 8 is used to adjust the moving path according to the alarm information collection, the current alarm processing completion degree, the future alarm processing completion degree and the current alarm receiving position; the specific logic of adjusting the moving path is: give priority to the areas with low processing completion degree and the areas where new alarm events are located, use the traffic conditions and weather data as reference items, compare the current position with the default path, calculate and output the best route adjustment plan with preset indicators as the target; dynamically adjust the moving path according to the alarm information, processing status and alarm receiving position to ensure the flexibility of response, and give priority to the areas with low processing completion degree and new alarm events to ensure the best use of resources;

[0053] The data uploading module 9 is used to upload the obtained adjustment data of the moving path to the alarm control module 1, and visualize the application of the data; so that the command center can clearly understand the current situation and decision-making basis, and enhance the transparency and real-time nature of information transmission;

[0054] The authority control module 10 is used to perform security authentication of acquisition authority. According to the authority level, the monitoring video and alarm information data within the authorized scope are read and downloaded. The security authentication of acquisition authority is implemented so that users at all levels of authority can access the relevant monitoring video and alarm data, ensuring the balance between data sharing and security, and effectively preventing the leakage and abuse of information;

[0055] The alarm control module 1 is interactively connected with the area division module 2, the mobile control module 4 and the information receiving module 5 through a wireless network, the path planning module 3 is interactively connected with the area division module 2, the mobile control module 4 and the path adjustment module 8 through a wireless network, the collection and processing module 6 is interactively connected with the information receiving module 5 and the authority control module 10 through a wireless network, the status analysis module 7 is interactively connected with the collection and processing module 6, the path adjustment module 8 and the data upload module 9 through a wireless network, and the authority control module 10 is connected with the alarm control module 1 through an electrical medium.

[0056] The mobile alarm receiving machine in this embodiment significantly improves the efficiency and accuracy of alarm processing through the close collaboration of the above modules. From data collection and analysis to mobile path planning, an efficient and intelligent alarm response system is formed, which can not only effectively improve the efficiency of the use of police resources, but also maintain flexibility in complex situations, providing strong protection for public safety.

[0057] Example 2

[0058] At other levels, this embodiment also provides a method for constructing and expressing a prediction model. The prediction model is constructed through a deep learning algorithm and data is summarized. The summarization process includes: collecting historical alarm event data, analyzing the time, location, event type, and processing status information, recording the processing time of each alarm event, including the alarm receiving time, processing start time, and processing completion time, recording weather conditions and traffic conditions data, collecting resource allocation information related to alarm response, and analyzing the number of available police officers and equipment status;

[0059] Remove redundant or erroneous data from the summarized data, fill in missing values, and standardize the data format, and extract features from the original summarized data, including: the frequency of alarm events, the changing trend of alarms per unit time, the mean processing time of different event types, the resource availability during the event, and the change history of the processing status.

[0060] As a preferred implementation in this embodiment, the calculation formula for the prediction model to calculate the alarm change trend in a preset future time period is:

[0061]

[0062] In the formula, P(t+Q) represents the prediction result of the alarm change trend in the future period, represents the number of alarm events predicted at the time point t+Q, and is the output result of the model. Q represents the preset future time period, a represents the adjustment factor of the prediction model, and this parameter is used to adjust the scale of the overall prediction result. It usually needs to be set according to historical data through model training. F(t) represents the alarm event frequency, which is the frequency of alarm events in the unit time of time t. This variable can be regarded as the activity of alarm events, affecting the increase or decrease of the number of alarms. D(t) represents the trend of alarm number change, which represents the rate of change of alarm events in unit time. It is used to evaluate the change of alarm number compared with the previous time, such as increase or decrease, reflecting the dynamic state of alarm. E j (t) represents the number of alarm events of a specific event type j at time t, which helps to understand which types of events are more frequent in a specific time period, thus affecting the overall alarm processing strategy, T j Represents the average processing time of different event types j, which refers to the average time required to process a specific type of alarm event. Each alarm type requires a different time investment to process, so the quantification of this time is provided to consider the processing efficiency of different events in the prediction model. max Represents the maximum number of processing resources allowed by the system. This value provides the upper limit of resources and is used for R(t) comparison to evaluate the relative sufficiency of available resources. R(t) represents the number of processing resources available at time t. This indicator describes the number of available resources that can be used to process alarms within a specific time. S(t) represents the change history of the alarm event processing status. This indicator represents the state transition of the system when processing alarm events, such as the probability of successful processing, processing, and unprocessed, which helps to understand the efficiency and bottleneck of alarm processing. W(t) represents the weather status at time t. This value represents the impact of weather conditions on alarm events and is used to model the impact of the external environment on the frequency of alarm events. C(t) represents the traffic status at time t. This value describes the current traffic conditions, such as smooth, congested, and severely congested, which will affect the scheduling and response time of resources.

[0063] Working principle: The present invention is mounted on a mobile vehicle, connected to the general police network of the command center through the alarm control module 1, divided into the current authorized area through the area division module 2, and receives the police data in real time through the information receiving module 5, generates a new driving route in real time based on the police data by the path planning module 3, executes the driving data through the mobile control module 4, collects and receives the data to be executed in the police data through the collection and processing module 6, opens the collection authority through the authority control module 10, analyzes the police status through the status analysis module 7, generates the route adjustment data by the path adjustment module 8, submits it to the path planning module 3, and executes it through the mobile control module 4, and uploads the execution status to the command center through the data uploading module 9;

[0064] When the present invention is in the mounted state, the mounted vehicle can quickly arrive at the scene of the incident, thereby improving the response efficiency. By setting the alarm radiation range and moving within this range, the coverage effect of each area can be improved. By collecting data in real time and performing preliminary classification and cleaning, key information can be extracted more quickly to support quick decision-making. The path can be dynamically adjusted according to the alarm information and the current processing progress, and it can adapt to changing needs more flexibly. By integrating multiple data sources, information can be acquired and integrated more effectively. By building a prediction model and analyzing historical data, areas that need priority processing can be better identified, and prevention capabilities can be improved. A collection authority security authentication mechanism is introduced to ensure the security of data reading and downloading.

[0065] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A portable alarm receiver, characterized in that: include: The alarm control module (1) is used to connect to the police network and, after identity verification, to start and stop each functional module, and is compatible with a storage database that stores collected and analyzed data; The area division module (2) is used to determine the signal coverage range, divide the coverage range into a number of areas, set area IDs, and define the alarm radiation range based on the area status data deployed by the alarm control module (1); A path planning module (3), used to set a default moving path according to the regional division and historical path planning data; A mobile control module (4) is used to receive mobile path instructions, control the moving direction and speed, access the vehicle navigation system, and guide the vehicle to the target location; An information receiving module (5) is used to obtain information receiving rights for alarm data, environmental data and location data from a number of data sources within the alarm radiation range, and to open data receiving after verification; The collection and processing module (6) is used to collect alarm data, environmental data and location data in real time within the alarm radiation range according to a preset period, perform preliminary classification, clean and analyze the collected data, extract key information, store the processed data in a database, and perform backup; A status analysis module (7) is used to analyze the alarm event processing status of each area, calculate the current alarm processing completion degree of the area, and predict the future alarm processing completion degree; A path adjustment module (8), used to adjust the moving path according to the alarm information collection, the current alarm processing completion degree, the future alarm processing completion degree and the current alarm receiving position; A data uploading module (9) is used to upload the obtained adjustment data of the moving path to the alarm control module (1) and to visually display the application of the data; The authority control module (10) is used to perform security authentication of acquisition authority and, according to the authority level, obtain the reading and downloading of monitoring video and alarm information data within the authorized scope.

2. The portable alarm receiver according to claim 1, characterized in that: The state data of the area where the alarm control module (1) is deployed include: signal strength, topography and buildings, alarm receiving resources, alarm occurrence frequency, population density and road network.

3. The portable alarm receiver according to claim 1, characterized in that: The working logic of the path planning module (3) includes: reading historical driving trajectories and alarm location data, analyzing historical data, identifying areas where the alarm frequency reaches a threshold and areas where the influence coefficient reaches a threshold, combining the current alarm distribution, area division and default path planning, and generating a default moving path plan, the default path plan including: patrol time and route of each area, and connection paths between areas.

4. The portable alarm receiver according to claim 1, characterized in that: The data sources of the information receiving module (5) include: an alarm system, a public monitoring system, an access control alarm and a fire alarm. When the information receiving module (5) performs preliminary classification of the alarm information, it identifies the alarm type and records the time, location and content of the event.

5. The portable alarm receiver according to claim 1, characterized in that: The process of calculating the regional alarm processing completion degree by the state analysis module (7) is as follows: counting the number of processed alarm events and the number of unprocessed alarm events in each region, and calculating the ratio of the number of processed events to the total number of events.

6. The portable alarm receiver according to claim 1, characterized in that: In the process of calculating the degree of completion of future alarm processing, the state analysis module (7) analyzes the regional alarm processing state, identifies the areas that need priority processing, builds a prediction model, inputs the current environmental variables, alarm data and resource availability information, and outputs the number of future alarms and the estimated processing completion ratio. The future alarm processing completion degree is calculated and output according to a preset period.

7. The portable alarm receiver according to claim 6, characterized in that: The prediction model is constructed through a deep learning algorithm to perform data induction, and the induction process includes: collecting historical alarm event data, analyzing the time, location, event type, and processing status information, recording the processing time of each alarm event, including the alarm reception time, processing start time, and processing completion time, recording weather conditions and traffic conditions data, collecting resource allocation information related to alarm response, and analyzing the number of available police officers and equipment status; Remove redundant or erroneous data from the summarized data, fill in missing values, and standardize the data format, and extract features from the original summarized data, including: the frequency of alarm events, the changing trend of alarms per unit time, the mean processing time of different event types, the resource availability during the event, and the change history of the processing status.

8. The portable alarm receiver according to claim 6, characterized in that: The calculation formula of the prediction model for calculating the change trend of the alarm situation in a preset future time period is: In the formula, P(t+Q) represents the prediction result of the alarm change trend in the future period, Q represents the preset future time period, a represents the adjustment factor of the prediction model, F(t) represents the alarm event frequency, D(t) represents the alarm quantity change trend, and represents the change rate of the alarm event in unit time. j (t) represents the number of alarm events of a specific event type j occurring at time t, T j represents the average processing time of different event types j, R max represents the maximum number of processing resources allowed by the system, R(t) represents the number of processing resources available at time t, S(t) represents the change history of the alarm event processing status, W(t) represents the weather status at time t, and C(t) represents the traffic status at time t.

9. The portable alarm receiver according to claim 1, characterized in that: The specific logic of the path adjustment module (8) for adjusting the moving path is: giving priority to areas with low processing completion and areas where new alarm events are located, using traffic conditions and weather data as reference items, comparing the current position with the default path, and calculating and outputting the best route adjustment plan based on preset indicators.

10. The portable alarm receiver according to claim 1, characterized in that: The alarm control module (1) is interactively connected with the area division module (2), the mobile control module (4) and the information receiving module (5) through a wireless network; the path planning module (3) is interactively connected with the area division module (2), the mobile control module (4) and the path adjustment module (8) through a wireless network; the acquisition processing module (6) is interactively connected with the information receiving module (5) and the authority control module (10) through a wireless network; the state analysis module (7) is interactively connected with the acquisition processing module (6), the path adjustment module (8) and the data upload module (9) through a wireless network; and the authority control module (10) is connected with the alarm control module (1) through an electrical medium.

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