Security alarm lights for smart community management

Abstract

The present invention provides a security alarm light for smart community management, which relates to the technical field of smart community management, including a smart community management platform and at least one security alarm light group; the smart community management platform includes an environment acquisition module, a region division module, an environment monitoring module, an abnormality analysis module, a regional status analysis module and an execution module. The present invention integrates environment acquisition, region division, monitoring analysis and execution modules in the smart community management platform, thereby realizing real-time monitoring and rapid response to the environmental status of the smart community, significantly improving the safety management efficiency and emergency handling capabilities of the community, especially the in-depth analysis of abnormal trends by the abnormality analysis module, and the system can predict and prevent potential safety risks, thereby reducing the probability of accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of smart community management, and in particular to a security alarm lamp for smart community management. Background Art

[0002] With the rapid development of science and technology, people's lifestyles have undergone tremendous changes, and the requirements for the safety and intelligence of living environments are also increasing. In today's society, smart communities, as an innovative living model, are gradually becoming an important choice for people to pursue high-quality life.

[0003] Smart communities are committed to achieving comprehensive management and monitoring of communities by integrating various advanced technologies, such as the Internet of Things, big data, and artificial intelligence. It covers multiple functions, including but not limited to security, facility management, energy management, and community services. Through intelligent devices and systems, residents can enjoy a more convenient, comfortable, and safe living experience.

[0004] However, although the current smart community management system has improved the management level of the community to a certain extent, there are still some shortcomings in environmental monitoring and abnormal alarm. On the one hand, the existing environmental monitoring methods are often not accurate and comprehensive enough, and cannot timely detect some potential environmental problems, such as water pollution, air pollution, etc. These problems will not only affect the health of residents, but may also cause damage to the ecological environment of the community. On the other hand, the response speed and accuracy of the abnormal alarm system need to be improved. When facing sudden abnormal situations, such as fire, flood, gas leakage, etc., the existing system may not be able to send out alarm signals in a timely and accurate manner, resulting in the expansion of accidents and increased losses.

[0005] In summary, the current smart community management system still has some deficiencies in environmental monitoring and abnormal alarm, and cannot meet people's high requirements for the safety and intelligence of the living environment. Therefore, we propose that smart community management use security alarm lights to solve the above problems. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides a security alarm light for smart community management to solve the problems raised in the above background technology.

[0007] The object of the present invention can be achieved by the following technical solution: comprising a smart community management platform and at least one security alarm light group; wherein the security alarm light group comprises various types of corresponding security alarm lights;

[0008] The smart community management platform includes an environment acquisition module, a regional division module, an environmental monitoring module, an abnormality analysis module, a regional status analysis module, and an execution module;

[0009] The environment acquisition module is used to obtain environmental information within the smart community, including water level, temperature, humidity, air quality, and particle concentration;

[0010] The area division module is used to receive the distribution status in the smart community, divide the smart community into several functional areas, and divide the functional areas into several monitoring areas; wherein the functional areas include housing areas, walking path areas, green areas, and parking areas;

[0011] The environmental monitoring module is used to perform environmental analysis on the environmental information in any monitoring partition, set the regular value range of any parameter in the environmental information, match the value of any parameter in the environmental information with its corresponding regular value range, and if the match is successful, mark the parameter as a normal state; if the parameter in the environmental information is not within its corresponding regular value range, mark the parameter as an abnormal parameter, and generate an abnormal verification signal corresponding to the abnormal parameter in the environmental information in the monitoring partition;

[0012] The abnormal analysis module is used to receive the abnormal verification signaling corresponding to the abnormal parameters to trigger the abnormal analysis and obtain the abnormal analysis results; wherein the abnormal analysis results include the slope influence value, the over-limit comprehensive fluctuation value, the excess value, and the state evaluation value corresponding to the parameters; the evaluation threshold corresponding to the state evaluation value is set, and the state evaluation value of the monitoring partition is compared with the corresponding evaluation threshold. If the state evaluation value is greater than or equal to the corresponding evaluation threshold, the abnormal state signaling corresponding to the parameter in the monitoring partition is generated;

[0013] The regional status analysis module is used to perform regional status analysis on the environmental information of the monitoring partition to obtain the specific color status of the parameters in the monitoring partition;

[0014] The execution module is used to receive the abnormal state signaling corresponding to the parameter to execute the corresponding operation.

[0015] Preferably, an abnormal verification signaling corresponding to the abnormal parameter is received to trigger abnormal analysis, specifically:

[0016] The time when the abnormal parameters are generated is marked as the time origin, and the time area within the set time length before and after the time origin is marked as the set abnormality verification time zone;

[0017] Obtain the parameters corresponding to the abnormal verification signaling in the abnormal verification time zone, construct a line chart corresponding to the parameters, input the parameter values ​​in the abnormal verification time zone and their collection time into the line chart, and mark the positions of the parameter values ​​in the line chart as parameter points; connect adjacent parameter points to obtain a parameter line, and all parameter lines constitute a parameter line; calculate the slope of the parameter line, mark the slope with a positive value as a positive slope, and mark the slope with a negative value as a negative slope; sum up all the positive slopes and negative slopes in the line chart to obtain the positive total slope and the negative total slope; perform weighted processing on the positive total slope and the negative total slope to obtain the slope influence value corresponding to the parameter;

[0018] Input the boundary values ​​corresponding to the upper and lower limits of the conventional value range of the parameter into the broken line change graph, and the positions of the upper and lower limits of the conventional value range in the broken line change graph represent the upper limit line and the lower limit line respectively; mark the graph formed between the parameter line above the upper limit line and the upper limit line as an over-upper limit graph, and mark the graph formed between the parameter line below the lower limit line and the lower limit line as an over-lower limit graph; calculate the area of ​​any over-upper limit graph and over-lower limit graph, and represent them as over-upper limit face value and over-lower limit face value respectively; calculate the standard deviation of the over-upper limit face value and the over-lower limit face value in the broken line change graph to obtain the over-upper limit fluctuation value and the over-lower limit fluctuation value; perform weighted calculation on the over-upper limit fluctuation value and the over-lower limit fluctuation value to obtain the over-limit comprehensive fluctuation value corresponding to the parameter;

[0019] Identify the boundary values ​​corresponding to the upper and lower limits of the conventional value range, compare the value of the abnormal parameter with the distance between the upper and lower limits of the conventional value range, select the boundary value closest to the value of the abnormal parameter, subtract the boundary value from the value of the abnormal parameter and perform absolute value calculation to obtain the excess value of the abnormal parameter;

[0020] The slope influence value, the over-limit comprehensive fluctuation value and the over-limit value corresponding to the parameter are weighted to obtain the state assessment value corresponding to the parameter;

[0021] The slope influence value, over-limit comprehensive fluctuation value, excess value, and state assessment value corresponding to the parameters are marked as abnormal analysis results.

[0022] Preferably, the environmental information of the monitoring zone is analyzed for regional status, specifically:

[0023] Set the normal value corresponding to the parameter in the environmental information, calculate the difference between any parameter in the environmental information in the monitoring zone and the normal value corresponding to the parameter, and obtain the normal difference corresponding to the parameter;

[0024] The time zone in the time zone set before the current time is marked as the environmental monitoring time zone; the mean and standard deviation of the regular difference in the environmental monitoring time zone are calculated to obtain the regular difference mean and the regular difference fluctuation value;

[0025] The conventional difference value, conventional difference mean value and conventional difference fluctuation value corresponding to the parameter are weighted to obtain the conventional difference image value corresponding to the parameter; a conventional difference value range group corresponding to the parameter is set, including several conventional difference value ranges; wherein each parameter matches a specific color, and the several conventional value ranges corresponding to the parameter are assigned different strong and weak colors in sequence according to the color of the parameter; the conventional difference image value of the parameter is matched with the conventional difference value range group to obtain the specific color state of the parameter currently in the monitoring area.

[0026] Preferably, the specific steps for obtaining the normal values ​​corresponding to the parameters in the environment information are as follows:

[0027] Obtain forecast weather information for the area where the smart community is located through the Internet, including rainfall, temperature, humidity, air quality, and particle concentration;

[0028] Obtain the environmental information of all the collection points in the monitoring area. For each parameter j in the environmental information, add up the values ​​of the parameter in all the collection points in the monitoring area and divide it by the total number of collection points in the monitoring area to obtain the corresponding collection mean value of the parameter.

[0029] The collected mean value corresponding to the parameter and the numerical value of the parameter corresponding to the predicted meteorological information are weighted to obtain the normal value corresponding to the parameter.

[0030] As a preferred embodiment, the smart community management platform also includes a user registration module, an information storage module, and a display access module;

[0031] An information storage module is used to receive and store the environmental information collected by the environment acquisition module, the abnormal analysis results output by the abnormal analysis module, and the specific color status of the parameters in the monitoring partition output by the regional status analysis module;

[0032] The user registration module is used to submit the registration information of the registered user and generate an authorized login account for the successfully registered user; the authorized login account is used to log in to the smart community management platform; the registration information includes identity information, housing information, and garage parking space information;

[0033] The display access module is used to access and display the information stored in the information storage module.

[0034] Preferably, the smart community management platform also includes a push module;

[0035] Identify the user's residential address or garage parking space location. If the monitoring partition corresponding to the residential address or garage location generates an abnormal status signaling of any parameter, the parameter, location and specific color status of the parameter corresponding to the abnormal status signaling will be pushed to the user's smart terminal in a timely manner.

[0036] Preferably, the abnormal state signaling corresponding to the parameter is received to perform a corresponding operation, specifically:

[0037] When receiving the abnormal status signaling corresponding to the parameter, the security alarm light group corresponding to the type is controlled according to the type of the abnormal parameter, the security alarm light corresponding to the monitoring partition corresponding to the abnormal parameter in the security alarm light group is activated, and the security alarm light displays the specific color status of the corresponding parameter.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] The present invention integrates environment acquisition, area division, monitoring analysis and execution modules in the smart community management platform, thereby realizing real-time monitoring and rapid response to the environmental status of the smart community, significantly improving the safety management efficiency and emergency handling capabilities of the community. In particular, the in-depth analysis of abnormal trends by the abnormal analysis module enables the system to predict and prevent potential safety risks, thereby reducing the probability of accidents.

[0040] The present invention helps to optimize the configuration of cell resources through environmental monitoring and abnormal analysis mechanisms, reduces long-term operating costs through preventive maintenance, and modular design and data-driven decision support facilitate long-term maintenance and upgrades of the system, ensuring that the system can adapt to changes in technological development and user needs, thereby extending the service life of the system and reducing maintenance costs.

[0041] The present invention uses a regional status analysis module to analyze parameter abnormality status in multiple dimensions, and intuitively reflects parameter status through color matching, which is convenient for community users and managers to quickly judge the severity of abnormal situations and provide a reliable basis for environmental management of smart communities. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0043] Figure 1 It is a principle block diagram of the smart community management platform in the security alarm light for smart community management of the present invention.

[0044] Figure 2 It is a broken line change graph corresponding to the parameters in the security alarm light for smart community management of the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 creative work are within the scope of protection of the present invention.

[0046] See also Figure 1 - Figure 2 As shown, the security alarm light for smart community management includes a smart community management platform and at least one security alarm light group; wherein the security alarm light group includes various types of corresponding security alarm lights;

[0047] The smart community management platform includes an environment acquisition module, a regional division module, an environmental monitoring module, an abnormality analysis module, a regional status analysis module, and an execution module;

[0048] The environment acquisition module is used to obtain environmental information within the smart community, including water level, temperature, humidity, air quality, and particle concentration;

[0049] The area division module is used to receive the distribution status in the smart community, divide the smart community into several functional areas, and divide the functional areas into several monitoring areas; wherein the functional areas include housing areas, walking path areas, green areas, and parking areas;

[0050] The environmental monitoring module is used to perform environmental analysis on the environmental information in any monitoring partition, set the regular value range of any parameter in the environmental information, match the value of any parameter in the environmental information with its corresponding regular value range, and if the match is successful, mark the parameter as a normal state; if the parameter in the environmental information is not within its corresponding regular value range, mark the parameter as an abnormal parameter, and generate an abnormal verification signal corresponding to the abnormal parameter in the environmental information in the monitoring partition;

[0051] The abnormal analysis module is used to receive the abnormal verification signaling corresponding to the abnormal parameters to trigger the abnormal analysis and obtain the abnormal analysis results; wherein the abnormal analysis results include the slope influence value, the over-limit comprehensive fluctuation value, the excess value, and the state evaluation value corresponding to the parameters; the evaluation threshold corresponding to the state evaluation value is set, and the state evaluation value of the monitoring partition is compared with the corresponding evaluation threshold. If the state evaluation value is greater than or equal to the corresponding evaluation threshold, the abnormal state signaling corresponding to the parameter in the monitoring partition is generated;

[0052] The regional status analysis module is used to perform regional status analysis on the environmental information of the monitoring partition to obtain the specific color status of the parameters in the monitoring partition;

[0053] The execution module is used to receive the abnormal state signaling corresponding to the parameter to execute the corresponding operation.

[0054] It should be noted that the safety and efficient management of smart communities are guaranteed through the close collaboration of various modules in the smart community management platform; as the core of the entire system, the smart community management platform is responsible for collecting, analyzing and processing various environmental information; through the environment acquisition module, real-time environmental information such as water level, temperature, humidity, air quality, particle concentration, etc. in the community can be obtained, providing data support for subsequent analysis and judgment; the area division module divides the community into different functional areas and monitoring areas, making management more refined; the environmental monitoring module, the abnormality analysis module and the regional status analysis module work together to conduct in-depth analysis of environmental information, determine whether there are abnormal conditions, and determine the type and severity of the abnormality.

[0055] In this application, the abnormal verification signaling corresponding to the abnormal parameters is received to trigger the abnormal analysis, specifically:

[0056] The time when the abnormal parameters are generated is marked as the time origin, and the time area within the set time length before and after the time origin is marked as the set abnormality verification time zone;

[0057] Obtain the parameters corresponding to the abnormal verification signaling in the abnormal verification time zone, construct a broken line change graph corresponding to the parameters, input the parameter values ​​in the abnormal verification time zone and their collection time into the broken line change graph, and mark the positions of the parameter values ​​in the broken line change graph as parameter points; connect adjacent parameter points to obtain a parameter line, and all parameter lines constitute a parameter broken line; calculate the slope of the parameter line, mark the positive slope as a positive slope, and mark the negative slope as a negative slope; sum up all the positive slopes and negative slopes in the broken line change graph to obtain the positive total slope and the negative total slope; perform weighted processing on the positive total slope and the negative total slope to obtain the slope influence value XL1 corresponding to the parameter;

[0058] Input the boundary values ​​corresponding to the upper and lower limits of the conventional value range of the parameter into the broken line change graph, and the positions of the upper and lower limits of the conventional value range in the broken line change graph represent the upper limit line and the lower limit line respectively; mark the graph formed between the parameter line above the upper limit line and the upper limit line as an over-upper limit graph, and mark the graph formed between the parameter line below the lower limit line and the lower limit line as an over-lower limit graph; calculate the area of ​​any over-upper limit graph and over-lower limit graph, and represent them as over-upper limit face value and over-lower limit face value respectively; perform standard deviation calculation on the over-upper limit face value and over-lower limit face value in the broken line change graph to obtain over-upper limit fluctuation value and over-lower limit fluctuation value; perform weighted calculation on the over-upper limit fluctuation value and the over-lower limit fluctuation value to obtain the over-limit comprehensive fluctuation value XL2 corresponding to the parameter;

[0059] Identify the boundary values ​​corresponding to the upper and lower limits of the conventional value range, compare the value of the abnormal parameter with the distance between the upper and lower limits of the conventional value range, select the boundary value closest to the value of the abnormal parameter, subtract the boundary value from the value of the abnormal parameter and perform absolute value calculation to obtain the excess value XL3 of the abnormal parameter;

[0060] The slope influence value, over-limit comprehensive fluctuation value and over-limit value corresponding to the parameter are weighted and the formula is used to calculate the value. , and obtain the state assessment value XL corresponding to the parameter; where e1, e2, and e3 represent the slope influence value, the over-limit comprehensive fluctuation value, and the weight influence factor corresponding to the over-limit value of the parameter, respectively;

[0061] The slope influence value, over-limit comprehensive fluctuation value, excess value, and state assessment value corresponding to the parameters are marked as abnormal analysis results.

[0062] It should be noted that the specific method of anomaly analysis has many meanings and advantages. First, by setting the anomaly verification time zone with the time when the anomaly parameters are generated as the time origin, it is possible to focus on analyzing the parameter changes in a period of time before and after the anomaly occurs, so as to have a more comprehensive understanding of the development trend of the anomaly and possible influencing factors. For example, when the water level height is abnormal, by analyzing the water level change line chart in the anomaly verification time zone, it can be determined whether the water level rises sharply due to heavy rain in a short period of time, or rises slowly due to reasons such as drainage system failure.

[0063] Secondly, constructing the line change graph corresponding to the parameters and calculating the slope impact value can reflect the speed and trend of parameter changes; distinguishing between positive and negative slopes and weighted processing of positive total slopes and negative total slopes can more carefully analyze the direction and intensity of parameter changes; for example, in temperature anomaly analysis, if the positive slope is large, it means that the temperature is rising rapidly, which may be due to heating problems or open flames caused by equipment failure near the monitoring area;

[0064] Furthermore, by calculating the area of ​​the upper limit and lower limit graphs and the corresponding fluctuation values, we can accurately measure the degree to which the parameters exceed the normal range and the fluctuation situation, which is very critical for evaluating the severity of the anomaly. For example, in the analysis of air quality anomalies, if the upper limit value or the lower limit value is large and the fluctuation value is also high, it means that the air quality problem is serious and unstable, and effective treatment measures need to be taken immediately.

[0065] Finally, the state assessment value is obtained by weighting the slope impact value, the over-limit comprehensive fluctuation value and the excess value. Multiple factors can be considered comprehensively to comprehensively evaluate the abnormal state of the parameters.

[0066] In this application, the environmental information of the monitoring zone is analyzed for regional status, specifically:

[0067] Set the normal value corresponding to the parameter in the environmental information, calculate the difference between any parameter in the environmental information in the monitoring zone and the normal value corresponding to the parameter, and obtain the normal difference corresponding to the parameter;

[0068] The time zone in the time zone set before the current time is marked as the environmental monitoring time zone; the mean and standard deviation of the regular difference in the environmental monitoring time zone are calculated to obtain the regular difference mean and the regular difference fluctuation value;

[0069] The conventional difference value, conventional difference mean value and conventional difference fluctuation value corresponding to the parameter are weighted to obtain the conventional difference image value corresponding to the parameter; a conventional difference value range group corresponding to the parameter is set, including several conventional difference value ranges; wherein each parameter matches a specific color, and the several conventional value ranges corresponding to the parameter are assigned different strong and weak colors in sequence according to the color of the parameter; the conventional difference image value of the parameter is matched with the conventional difference value range group to obtain the specific color state of the parameter currently in the monitoring area.

[0070] It should be noted that by performing regional state analysis on environmental information, setting normal values ​​corresponding to parameters in environmental information, and calculating the difference with actual parameters, the degree of deviation of each parameter from the normal state can be clearly understood, which is helpful to timely discover abnormal conditions of parameters and quantify the magnitude of abnormalities. For example, for temperature parameters, if the difference between the actual temperature and the normal value is large, it means that the degree of temperature abnormality is more serious.

[0071] Secondly, the set time zone before the current moment is used as the environmental monitoring time zone, and the mean and standard deviation of the normal difference are calculated to obtain the normal difference mean and normal difference fluctuation value; these two values ​​can reflect the average level and fluctuation of the parameter deviation from the normal state over a period of time; if the normal difference mean is large, it means that the parameter as a whole deviates more from the normal state during this period, and if the normal difference fluctuation value is large, it means that the change of the parameter is unstable and there may be a greater risk;

[0072] Then, the conventional difference value, conventional difference mean value and conventional difference fluctuation value corresponding to the parameter are weighted to obtain the conventional difference shadow value, which comprehensively considers the current deviation of the parameter, the average deviation and fluctuation over a period of time, and can more comprehensively reflect the status of the parameter; by setting the conventional difference value range group corresponding to the parameter, and matching a specific color for each parameter, and assigning different conventional difference value ranges according to the strength of the color, the conventional difference shadow value of the parameter can be intuitively corresponded to the specific color status; in this way, managers and residents can quickly understand the status of the parameters in the monitoring area through color, for example, dark red indicates that the parameter is in a serious abnormal state, bright red indicates that the parameter is in an abnormal state, light red indicates that the parameter has a certain degree of abnormality, and green indicates that the parameter is in a normal state; among them, the specific color status corresponding to the parameter is set according to the actual situation and the experience of the community managers.

[0073] The specific steps for obtaining the conventional values ​​corresponding to the parameters in the environmental information in this application are as follows:

[0074] Obtain the forecast weather information of the area where the smart community is located through the Internet, including rainfall, temperature, humidity, air quality, and particle concentration, and number them to represent Uk, where k=1, 2, 3, 4, and 5 represent rainfall, temperature, humidity, air quality, and particle concentration, respectively;

[0075] Obtain the environmental information of all the collection points in the monitoring area. For each parameter j in the environmental information, add up the values ​​of the parameter in all the collection points in the monitoring area and divide it by the total number of collection points in the monitoring area to get the corresponding collection mean value of the parameter, which is marked as jHL. j represents the number of the parameter in the environmental information. j=1, 2, 3, 4, 5 represent water level, temperature, humidity, air quality, and particle concentration, respectively. When j=1, k=1, and so on.

[0076] The collected mean value corresponding to the parameter and the value of the parameter corresponding to the predicted meteorological information are weighted and the formula is used to calculate the weight of the parameter. , get the conventional value CG corresponding to the parameter; where, , that is, the sum of the collected mean value corresponding to the parameter and the weight coefficient corresponding to the parameter of the predicted meteorological information is 1.

[0077] It should be noted that the steps for obtaining the normal values ​​corresponding to the parameters in the environmental information in this application, by comprehensively utilizing the predicted meteorological information obtained from the Internet and the collected data within the community, and performing reasonable weighted processing, provide accurate and reliable normal values ​​of parameters for environmental monitoring and management of smart communities, which helps to improve the safety and management efficiency of the community.

[0078] In this application, the smart community management platform also includes a user registration module, an information storage module, and a display access module;

[0079] An information storage module is used to receive and store the environmental information collected by the environment acquisition module, the abnormal analysis results output by the abnormal analysis module, and the specific color status of the parameters in the monitoring partition output by the regional status analysis module;

[0080] The user registration module is used to submit the registration information of the registered user and generate an authorized login account for the successfully registered user; the authorized login account is used to log in to the smart community management platform; the registration information includes identity information, housing information, and garage parking space information;

[0081] The display access module is used to access and display the information stored in the information storage module.

[0082] It should be noted that the user registration module provides a convenient registration channel for community residents and related personnel. By submitting registration information including identity information, housing information and garage parking information, the system can accurately identify the user's location and needs, providing a basis for subsequent personalized services and accurate notifications. The authorized login account generated after successful registration allows users to easily log in to the smart community management platform and keep abreast of the community's environmental conditions and abnormal situations;

[0083] The information storage module receives and stores the environmental information collected by the environment acquisition module, including water level, temperature, humidity, air quality and particle concentration, etc., providing a rich source of data for environmental monitoring and analysis. At the same time, it stores the abnormal analysis results output by the abnormal analysis module and the specific color status of the parameters in the monitoring partition output by the regional status analysis module, so that these important information can be stored for a long time, which is convenient for subsequent query, analysis and tracing;

[0084] The display access module provides users with an intuitive way to display and access information. Users can use this module to access and display the information stored in the information storage module, and understand the environmental conditions of the community and abnormal conditions in their area anytime and anywhere. The clear and intuitive display interface enables users to quickly obtain key information.

[0085] In this application, the smart community management platform also includes a push module;

[0086] Identify the user's residential address or garage parking space location. If the monitoring partition corresponding to the residential address or garage location generates an abnormal status signaling of any parameter, the parameter, location and specific color status of the parameter corresponding to the abnormal status signaling will be pushed to the user's smart terminal in a timely manner.

[0087] It should be noted that by identifying the user's housing address or garage parking space location, the push module can realize accurate information push, so that the user can promptly understand the abnormal conditions in the area directly related to him. For example, if the temperature in the monitoring area where the user's housing is located rises abnormally, the push module will push the parameters of the temperature abnormality, the specific location and the color status representing the abnormal state to the user's smart terminal.

[0088] Secondly, timely push of information corresponding to abnormal status signaling can improve the safety and emergency response capabilities of the community. In the event of an emergency, such as fire, gas leakage, etc., the push module can quickly notify relevant users, allowing users to evacuate dangerous areas in time or take necessary protective measures. At the same time, users can also feedback abnormal situations to the community management department so that the management department can organize rescue and processing in time to reduce the losses and impacts of the accident.

[0089] In this application, the abnormal state signaling corresponding to the receiving parameter is used to perform the corresponding operation, specifically:

[0090] When receiving the abnormal status signaling corresponding to the parameter, the security alarm light group corresponding to the type is controlled according to the type of the abnormal parameter, the security alarm light corresponding to the monitoring partition corresponding to the abnormal parameter in the security alarm light group is activated, and the security alarm light displays the specific color status of the corresponding parameter.

[0091] It should be noted that, for example, taking the generation of abnormal status signaling of temperature parameters in a monitoring partition in a functional area as an example, when the execution module receives the abnormal status signaling of the temperature parameters, it will control the security alarm light group corresponding to the temperature parameters, and then activate the security alarm light corresponding to the monitoring partition in the security alarm light group, and make it display a specific color state representing the temperature abnormality, such as dark red indicates that the temperature parameter is in a serious abnormal state, bright red indicates that the temperature parameter is in an abnormal state, light red indicates that the temperature parameter has a certain degree of abnormality, and green indicates that the temperature parameter is in a normal state; and so on, the color state of the security alarm light is displayed, so as to facilitate community users and managers to quickly judge the severity of the abnormal situation.

[0092] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. Security alarm light for smart community management, characterized by: It includes a smart community management platform and at least one security alarm light group; wherein the security alarm light group includes various types of corresponding security alarm lights; The smart community management platform includes an environment acquisition module, a regional division module, an environmental monitoring module, an abnormality analysis module, a regional status analysis module, and an execution module; The environment acquisition module is used to obtain environmental information within the smart community, including water level, temperature, humidity, air quality, and particle concentration; The area division module is used to receive the distribution status in the smart community, divide the smart community into several functional areas, and divide the functional areas into several monitoring areas; wherein the functional areas include housing areas, walking path areas, green areas, and parking areas; The environmental monitoring module is used to perform environmental analysis on the environmental information in any monitoring partition, set the regular value range of any parameter in the environmental information, match the value of any parameter in the environmental information with its corresponding regular value range, and if the match is successful, mark the parameter as a normal state; if the parameter in the environmental information is not within its corresponding regular value range, mark the parameter as an abnormal parameter, and generate an abnormal verification signal corresponding to the abnormal parameter in the environmental information in the monitoring partition; The abnormality analysis module is used to receive abnormality verification signaling corresponding to abnormal parameters to trigger abnormality analysis, specifically: The time when the abnormal parameters are generated is marked as the time origin, and the time area within the set time length before and after the time origin is marked as the set abnormality verification time zone; Obtain the parameters corresponding to the abnormal verification signaling in the abnormal verification time zone, construct a line chart corresponding to the parameters, input the parameter values ​​in the abnormal verification time zone and their collection time into the line chart, and mark the positions of the parameter values ​​in the line chart as parameter points; connect adjacent parameter points to obtain a parameter line, and all parameter lines constitute a parameter line; calculate the slope of the parameter line, mark the slope with a positive value as a positive slope, and mark the slope with a negative value as a negative slope; sum up all the positive slopes and negative slopes in the line chart to obtain the positive total slope and the negative total slope; perform weighted processing on the positive total slope and the negative total slope to obtain the slope influence value corresponding to the parameter; Input the boundary values ​​corresponding to the upper and lower limits of the conventional value range of the parameter into the broken line change graph, and the positions of the upper and lower limits of the conventional value range in the broken line change graph represent the upper limit line and the lower limit line respectively; mark the graph formed between the parameter line above the upper limit line and the upper limit line as an over-upper limit graph, and mark the graph formed between the parameter line below the lower limit line and the lower limit line as an over-lower limit graph; calculate the area of ​​any over-upper limit graph and over-lower limit graph, and represent them as over-upper limit face value and over-lower limit face value respectively; calculate the standard deviation of the over-upper limit face value and the over-lower limit face value in the broken line change graph to obtain the over-upper limit fluctuation value and the over-lower limit fluctuation value; perform weighted calculation on the over-upper limit fluctuation value and the over-lower limit fluctuation value to obtain the over-limit comprehensive fluctuation value corresponding to the parameter; Identify the boundary values ​​corresponding to the upper and lower limits of the conventional value range, compare the value of the abnormal parameter with the distance between the upper and lower limits of the conventional value range, select the boundary value closest to the value of the abnormal parameter, subtract the boundary value from the value of the abnormal parameter and perform absolute value calculation to obtain the excess value of the abnormal parameter; The slope influence value, the over-limit comprehensive fluctuation value and the over-limit value corresponding to the parameter are weighted to obtain the state assessment value corresponding to the parameter; Mark the slope influence value, over-limit comprehensive fluctuation value, excess value, and state evaluation value corresponding to the parameter as abnormal analysis results; set the evaluation threshold corresponding to the state evaluation value, compare the state evaluation value of the monitoring partition with the corresponding evaluation threshold, and if the state evaluation value is greater than or equal to the corresponding evaluation threshold, generate an abnormal state signal corresponding to the parameter in the monitoring partition; The regional status analysis module is used to perform regional status analysis on the environmental information of the monitoring partition to obtain the specific color status of the parameters in the monitoring partition; The execution module is used to receive the abnormal state signaling corresponding to the corresponding parameters to execute the corresponding operation.

2. The security alarm light for smart community management according to claim 1 is characterized in that: Perform regional status analysis on the environmental information of the monitoring zone, specifically: Set the normal value corresponding to the parameter in the environmental information, calculate the difference between any parameter in the environmental information in the monitoring zone and the normal value corresponding to the parameter, and obtain the normal difference corresponding to the parameter; The time zone in the time zone set before the current time is marked as the environmental monitoring time zone; the mean and standard deviation of the regular difference in the environmental monitoring time zone are calculated to obtain the regular difference mean and the regular difference fluctuation value; The conventional difference value, conventional difference mean value and conventional difference fluctuation value corresponding to the parameter are weighted to obtain the conventional difference image value corresponding to the parameter; a conventional difference value range group corresponding to the parameter is set, including several conventional difference value ranges; wherein each parameter matches a specific color, and the several conventional value ranges corresponding to the parameter are assigned different strong and weak colors in sequence according to the color of the parameter; the conventional difference image value of the parameter is matched with the conventional difference value range group to obtain the specific color state of the parameter currently in the monitoring area.

3. The security alarm light for smart community management according to claim 2 is characterized in that: The specific steps for obtaining the normal values ​​corresponding to the parameters in the environment information are as follows: Obtain forecast weather information for the area where the smart community is located through the Internet, including rainfall, temperature, humidity, air quality, and particle concentration; Obtain the environmental information of all the collection points in the monitoring area. For each parameter j in the environmental information, add up the values ​​of the parameter in all the collection points in the monitoring area and divide it by the total number of collection points in the monitoring area to obtain the corresponding collection mean value of the parameter. The collected mean value corresponding to the parameter and the numerical value of the parameter corresponding to the predicted meteorological information are weighted to obtain the normal value corresponding to the parameter.

4. The security alarm light for smart community management according to claim 1, characterized in that: The smart community management platform also includes a user registration module, an information storage module, and a display access module; An information storage module is used to receive and store the environmental information collected by the environment acquisition module, the abnormal analysis results output by the abnormal analysis module, and the specific color status of the parameters in the monitoring partition output by the regional status analysis module; The user registration module is used to submit the registration information of the registered user and generate an authorized login account for the successfully registered user; the authorized login account is used to log in to the smart community management platform; the registration information includes identity information, housing information, and garage parking space information; The display access module is used to access and display the information stored in the information storage module.

5. The security alarm light for smart community management according to claim 4 is characterized in that: The smart community management platform also includes a push module; Identify the user's residential address or garage parking space location. If the monitoring partition corresponding to the residential address or garage location generates an abnormal status signaling of any parameter, the parameter, location and specific color status of the parameter corresponding to the abnormal status signaling will be pushed to the user's smart terminal in a timely manner.

6. The security alarm light for smart community management according to claim 1, characterized in that: Receive the abnormal status signaling corresponding to the parameters to perform the corresponding operation, specifically: When receiving the abnormal status signaling corresponding to the parameter, the security alarm light group corresponding to the type is controlled according to the type of the abnormal parameter, the security alarm light corresponding to the monitoring partition corresponding to the abnormal parameter in the security alarm light group is activated, and the security alarm light displays the specific color status of the corresponding parameter.

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