CN116110156A - Intelligent monitoring service system of intelligent community based on big data - Google Patents
Intelligent monitoring service system of intelligent community based on big data Download PDFInfo
- Publication number
- CN116110156A CN116110156A CN202211086479.6A CN202211086479A CN116110156A CN 116110156 A CN116110156 A CN 116110156A CN 202211086479 A CN202211086479 A CN 202211086479A CN 116110156 A CN116110156 A CN 116110156A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- frequency
- fire
- signal
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 136
- 238000004458 analytical method Methods 0.000 claims description 105
- 238000012423 maintenance Methods 0.000 claims description 39
- 238000001514 detection method Methods 0.000 claims description 37
- 230000004044 response Effects 0.000 claims description 29
- 230000002159 abnormal effect Effects 0.000 claims description 26
- 238000000034 method Methods 0.000 claims description 11
- 239000013589 supplement Substances 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 7
- 230000009467 reduction Effects 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 238000012797 qualification Methods 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 5
- 230000002265 prevention Effects 0.000 description 3
- 230000001502 supplementing effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007175 bidirectional communication Effects 0.000 description 1
- 230000006854 communication Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/10—Movable barriers with registering means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Tourism & Hospitality (AREA)
- General Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Human Resources & Organizations (AREA)
- Computer Networks & Wireless Communication (AREA)
- Medical Informatics (AREA)
- Educational Administration (AREA)
- Computing Systems (AREA)
- Economics (AREA)
- Signal Processing (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses an intelligent monitoring service system of an intelligent community based on big data, which solves the technical problems that in the prior art, the monitoring force in the intelligent community is unqualified, so that the safety performance of the intelligent community cannot be guaranteed; the vehicles in the intelligent community are managed and controlled, the parking spaces of the vehicles are reasonably planned, and the risk of parking the vehicles in the intelligent community is reduced, so that the management and control efficiency of the vehicles in the intelligent community is improved, and the risk of road congestion is reduced; judging whether public equipment in the intelligent community affects the qualification or not, and maximizing the monitoring efficiency of the public equipment on the premise that the public equipment does not affect a householder.
Description
Technical Field
The invention relates to the technical field of intelligent community monitoring service, in particular to an intelligent community monitoring service system based on big data.
Background
The intelligent community is a mode for integrating various existing service resources of the community by utilizing various intelligent technologies and modes and providing various convenient services such as government affairs, business, entertainment, education, medical care, life mutual assistance and the like for community masses. From the application direction, the intelligent community should realize the aim of improving the working efficiency by intelligent government affairs, improving the life of people by intelligent folks, creating intelligent life by intelligent families and improving the community quality by intelligent communities.
However, in the prior art, the monitoring strength in the intelligent community is unqualified, so that the safety performance of the intelligent community cannot be guaranteed, and meanwhile, the influence caused by the operation of public equipment in the intelligent community cannot be monitored in real time, so that the intelligent community cannot be accurately managed and controlled.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The intelligent monitoring service system for the intelligent communities is used for monitoring the operation of the fire-fighting equipment in the intelligent communities and judging whether the set reasonableness of the fire-fighting equipment is normal or not, so that the stability of the fire-fighting equipment in use is improved, the working efficiency of the fire-fighting equipment is improved, the monitoring strength in the intelligent communities is ensured, and the fire prevention strength in the intelligent communities is improved; the vehicle management and control in the intelligent community carries out reasonable planning with the parking stall of vehicle, reduces the risk that the vehicle was stopped in disorder in the intelligent community to the management and control efficiency of vehicle in the intelligent community has been improved, the risk that road is crowded has been reduced.
The aim of the invention can be achieved by the following technical scheme:
the intelligent monitoring service system based on the big data comprises a monitoring service platform, wherein the monitoring service platform is connected with:
the fire-fighting equipment operation monitoring unit is used for monitoring the operation of the fire-fighting equipment in the intelligent community, judging whether the rationality of the fire-fighting equipment setting is normal, acquiring a setting area of the fire-fighting equipment in the community, monitoring the corresponding setting area, generating a fire-fighting equipment setting abnormal signal and a fire-fighting equipment setting normal signal through analysis, and sending the fire-fighting equipment setting abnormal signal and the fire-fighting equipment setting normal signal to the monitoring service platform;
the vehicle monitoring and controlling unit is used for controlling vehicles in the intelligent community and reasonably planning the parking spaces of the vehicles;
the public equipment influence analysis unit is used for carrying out influence analysis on public equipment in the intelligent community, the public equipment is expressed as a monitoring camera in the community, the monitoring camera is marked as an analysis object, the influence analysis coefficient of the analysis object is obtained through analysis, an equipment influence signal and an equipment influence signal are generated according to the influence analysis coefficient of the analysis object in a comparison mode, and the equipment influence signal are sent to the monitoring service platform;
the entrance guard recognition monitoring unit is used for monitoring and analyzing the vehicle entrance guard recognition in the intelligent community, judging whether the vehicle entrance guard recognition efficiency is qualified or not, generating an entrance guard high-efficiency signal and an entrance guard low-efficiency signal through analysis, and sending the signals to the monitoring service platform;
the emergency event response detection unit is used for carrying out emergency event response detection on the intelligent community, the emergency event response is expressed as the action of fire disaster in the community, the coordination capacity of each department in the intelligent community is judged, response detection abnormal signals and response detection normal signals are generated through analysis, and the emergency event response is served by the monitoring platform.
As a preferred embodiment of the present invention, the operation process of the fire protection apparatus operation monitoring unit is as follows:
collecting maintenance periods of the fire-fighting equipment in each setting area, collecting touch frequency of the fire-fighting equipment in the setting area in the maintenance period and interval duration between the end time and the current time of the maintenance period of the fire-fighting equipment in the setting area in the non-maintenance period, and comparing the interval duration with a touch frequency threshold and an interval duration threshold respectively:
if the touch frequency of the fire-fighting equipment in the setting area in the maintenance period exceeds a touch frequency threshold value, or the interval duration between the end time of the maintenance period of the fire-fighting equipment in the setting area and the current time exceeds an interval duration threshold value in the non-maintenance period, generating a fire-fighting equipment setting abnormal signal and sending the fire-fighting equipment setting abnormal signal to a monitoring service platform; if the touch frequency of the fire-fighting equipment in the setting area in the maintenance period does not exceed the touch frequency threshold value and the interval duration between the end time of the maintenance period of the fire-fighting equipment in the setting area and the current time in the non-maintenance period does not exceed the interval duration threshold value, generating a fire-fighting equipment setting normal signal and sending the fire-fighting equipment setting normal signal to the monitoring service platform.
As a preferred embodiment of the present invention, the operation process of the vehicle monitoring and control unit is as follows:
acquiring the parking time length proportion of the corresponding household host vehicles of each parking space in the intelligent community, marking the corresponding parking space as a low-frequency parking space if the parking time length proportion of the corresponding household host vehicles of the parking space does not exceed the parking time length proportion threshold value, and acquiring a low-use probability time period of the low-frequency parking space according to the daily parking time length of the low-frequency parking space; if the parking time length ratio of the corresponding household host vehicle exceeds the parking time length ratio threshold, marking the corresponding parking space as a high-frequency parking space, and acquiring a high-use probability time period of the low-frequency parking space according to the daily parking time length of the low-frequency parking space;
when a temporary vehicle in the intelligent community enters, taking a low-frequency parking space in a low-use probability time period at the current moment as a temporary parking space of the temporary vehicle, generating a vehicle moving signal after a host vehicle corresponding to the low-frequency parking space passes through a community entrance gate, sending the vehicle moving signal and the temporary parking space position around the current temporary vehicle to a mobile phone terminal of a driver of the temporary vehicle, and marking the temporary vehicle as a non-accessible vehicle if the temporary vehicle does not finish moving within a set time threshold; if the temporary vehicle enters and then stops to the high-frequency parking space or does not stop to the corresponding low-frequency parking space in the low-use probability time period, generating a signal that the vehicle cannot stop and sending the signal that the vehicle cannot stop to the mobile phone terminal of the driver corresponding to the temporary vehicle.
As a preferred embodiment of the invention, the operation of the public equipment influence analysis unit is as follows:
collecting the minimum difference value of the brightness of the light supplement lamp corresponding to the analysis object and the brightness of the surrounding environment, the coverage area of the light supplement lamp corresponding to the analysis object and the speed reduction frequency of the passing main body in the coverage area of the light supplement lamp of the analysis object; the traffic body is represented as a communicating pedestrian or vehicle;
obtaining an influence analysis coefficient of an analysis object through analysis; comparing the impact analysis coefficient of the analysis object with an impact analysis coefficient threshold value:
if the influence analysis coefficient of the analysis object exceeds the influence analysis coefficient threshold, judging that the influence analysis of the analysis object is abnormal, generating a device influence signal and sending the device influence signal to a monitoring service platform; if the influence analysis coefficient of the analysis object does not exceed the influence analysis coefficient threshold, judging that the influence analysis of the analysis object is normal, generating a device influence-free signal and sending the device influence-free signal to the monitoring service platform.
As a preferred embodiment of the present invention, the operation process of the door control identification monitoring unit is as follows:
acquiring a vehicle identification area corresponding to the access control, acquiring the frequency of unrecognizable vehicles in the identification area and the average moving times of the vehicles in the identification area when the vehicles cannot be identified, and comparing the frequency with an unrecognizable frequency threshold and a moving times frequency threshold respectively:
if the unrecognizable frequency of the vehicle in the recognition area exceeds an unrecognizable frequency threshold, or the average moving frequency of the vehicle in the recognition area exceeds a moving frequency threshold when the vehicle cannot be recognized, generating an entrance guard inefficiency signal and sending the entrance guard inefficiency signal to a monitoring service platform; if the frequency of the unrecognizable vehicle in the recognition area does not exceed the unrecognizable frequency threshold, and the average moving frequency of the vehicle in the recognition area does not exceed the moving frequency threshold when the vehicle cannot be recognized, generating an entrance guard high-efficiency signal and sending the entrance guard high-efficiency signal to a monitoring service platform.
As a preferred embodiment of the present invention, the emergency event reaction detection unit operates as follows:
the method comprises the steps that the interval duration between the emergency event occurrence time and the entrance guard control temporary vehicle entering time and the avoidance speed of the road vehicles in the community are collected, and are compared with a gap duration threshold and an avoidance speed threshold respectively:
if the interval time between the emergency event occurrence time and the entrance guard control temporary vehicle entering time exceeds a gap time threshold or the avoidance speed of the road vehicles in the community does not exceed an avoidance speed threshold, generating a reaction detection abnormal signal and sending the reaction detection abnormal signal to a monitoring service platform; if the interval time between the emergency event occurrence time and the entrance guard control temporary vehicle entering time does not exceed the gap time threshold, and the avoidance speed of the road vehicles in the community exceeds the avoidance speed threshold, generating a reaction detection normal signal and sending the reaction detection normal signal to the monitoring service platform.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the intelligent community fire control system, the operation of the fire control equipment in the intelligent community is monitored, and whether the rationality of the arrangement of the fire control equipment is normal is judged, so that the stability of the fire control equipment in use is improved, the working efficiency of the fire control equipment is improved, the monitoring strength in the intelligent community is ensured, and the fire prevention strength in the intelligent community is improved; the vehicles in the intelligent community are managed and controlled, the parking spaces of the vehicles are reasonably planned, and the risk of parking the vehicles in the intelligent community is reduced, so that the management and control efficiency of the vehicles in the intelligent community is improved, and the risk of road congestion is reduced;
2. according to the method, the influence analysis is carried out on the public equipment in the intelligent community, whether the influence of the public equipment in the intelligent community is qualified or not is judged, the monitoring efficiency is maximized on the premise that the public equipment does not influence a householder, and the monitoring strength of the intelligent equipment is improved; monitoring and analyzing the vehicle entrance guard identification in the intelligent community and judging whether the vehicle entrance guard identification efficiency is qualified or not, so that the high efficiency of vehicle entrance and exit in the intelligent community is improved, the use quality of householder is improved, and meanwhile, the monitoring strength of the intelligent community is ensured; carry out emergent incident reaction detection with the wisdom community, judge each department coordination ability in the wisdom community, improved the security of wisdom community, improved the monitoring dynamics of wisdom community simultaneously.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of an intelligent monitoring service system for intelligent communities based on big data.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an intelligent monitoring service system of a smart community based on big data includes a monitoring service platform, wherein the monitoring service platform is in communication connection with a fire protection device operation monitoring unit, a vehicle monitoring management and control unit, a public device influence analysis unit, an entrance guard identification monitoring unit and an emergency reflection detection unit, and the monitoring service platform is in bidirectional communication connection with the fire protection device operation monitoring unit, the vehicle monitoring management and control unit, the public device influence analysis unit, the entrance guard identification monitoring unit and the emergency reflection detection unit;
the monitoring service platform generates a fire-fighting equipment operation monitoring signal and sends the fire-fighting equipment operation monitoring signal to the fire-fighting equipment operation monitoring unit, and the fire-fighting equipment operation monitoring unit monitors the operation of the fire-fighting equipment in the intelligent community after receiving the fire-fighting equipment operation monitoring signal and judges whether the rationality of the fire-fighting equipment setting is normal or not, so that the stability of the fire-fighting equipment in use is improved, the working efficiency of the fire-fighting equipment is improved, the monitoring force in the intelligent community is ensured, and the fire prevention force in the intelligent community is improved;
acquiring a setting area of fire-fighting equipment in a community, monitoring the corresponding setting area, acquiring maintenance periods of the fire-fighting equipment in each setting area, acquiring touch frequency of the fire-fighting equipment in the setting area in the maintenance period and interval duration between end time and current time of the maintenance period of the fire-fighting equipment in the setting area in the non-maintenance period, and comparing the touch frequency of the fire-fighting equipment in the setting area in the maintenance period and the interval duration between end time and current time of the fire-fighting equipment in the setting area in the non-maintenance period with a touch frequency threshold and an interval duration threshold respectively:
it is understood that the touch frequency includes an operating frequency and a non-operating frequency, wherein the operating frequency is represented as an operating frequency of the device when a fire occurs, and the non-operating frequency is represented as a frequency of the device touched by a person when the fire does not occur;
if the touch frequency of the fire fighting equipment in the setting area in the maintenance period exceeds a touch frequency threshold value, or the interval time between the end time of the maintenance period of the fire fighting equipment in the setting area and the current time in the non-maintenance period exceeds an interval time threshold value, judging that the operation monitoring of the fire fighting equipment is unqualified, generating a fire fighting equipment setting abnormal signal and sending the fire fighting equipment setting abnormal signal to a monitoring service platform, after the monitoring service platform receives the fire fighting equipment setting abnormal signal, maintaining the corresponding fire fighting equipment, taking the current maintenance end time as a maintenance period statistics starting time point, reducing the use frequency in the non-fire disaster in the maintenance period, timely maintaining when the maintenance period is exceeded, indirectly shortening the maintenance period by taking the end time of the original maintenance period as a standard after the maintenance period is delayed, and reducing the risk of fire fighting equipment faults;
if the touch frequency of the fire-fighting equipment in the setting area in the maintenance period does not exceed the touch frequency threshold value and the interval duration between the end time of the maintenance period of the fire-fighting equipment in the setting area and the current time in the non-maintenance period does not exceed the interval duration threshold value, judging that the operation monitoring of the fire-fighting equipment is qualified, generating a fire-fighting equipment setting normal signal and sending the fire-fighting equipment setting normal signal to a monitoring service platform;
after the monitoring service platform receives the fire control equipment setting normal signal, a vehicle monitoring control signal is generated and sent to the vehicle monitoring control unit, after the vehicle monitoring control unit receives the vehicle monitoring control signal, the vehicles in the intelligent community are controlled, the parking spaces of the vehicles are reasonably planned, and the risk of parking and releasing the vehicles in the intelligent community is reduced, so that the control efficiency of the vehicles in the intelligent community is improved, and the risk of road congestion is reduced;
acquiring the parking time length proportion of the corresponding household host vehicles of each parking space in the intelligent community, marking the corresponding parking space as a low-frequency parking space if the parking time length proportion of the corresponding household host vehicles of the parking space does not exceed the parking time length proportion threshold value, and acquiring a low-use probability time period of the low-frequency parking space according to the daily parking time length of the low-frequency parking space; if the parking time length ratio of the corresponding household host vehicle exceeds the parking time length ratio threshold, marking the corresponding parking space as a high-frequency parking space, and acquiring a high-use probability time period of the low-frequency parking space according to the daily parking time length of the low-frequency parking space;
when a temporary vehicle in the intelligent community enters, taking a low-frequency parking space in a low-use probability time period at the current moment as a temporary parking space of the temporary vehicle, generating a vehicle moving signal after a host vehicle corresponding to the low-frequency parking space passes through a community entrance gate, sending the vehicle moving signal and the temporary parking space position around the current temporary vehicle to a mobile phone terminal of a driver of the temporary vehicle, and marking the temporary vehicle as a non-accessible vehicle if the temporary vehicle does not finish moving within a set time threshold; if the temporary vehicle enters and then stops to the high-frequency parking space or does not stop to the corresponding low-frequency parking space in the low-use probability time period, generating a signal that the vehicle cannot stop and sending the signal that the vehicle cannot stop to a mobile phone terminal of a driver corresponding to the temporary vehicle;
the monitoring service platform generates a public equipment influence analysis signal and sends the public equipment influence analysis signal to the public equipment influence analysis unit, and after the public equipment influence analysis unit receives the public equipment influence analysis signal, public equipment in the intelligent community is subjected to influence analysis, the public equipment in the intelligent community is expressed as a monitoring camera in the community, whether the public equipment influence in the intelligent community is qualified or not is judged, the monitoring efficiency is maximized on the premise that the public equipment does not influence a householder, and the monitoring strength of the intelligent equipment is improved;
marking a monitoring camera as an analysis object, setting a mark i, collecting the minimum difference value of the brightness of the light supplement lamp corresponding to the analysis object and the brightness of the surrounding environment and the coverage area of the light supplement lamp corresponding to the analysis object, and marking the minimum difference value of the brightness of the light supplement lamp corresponding to the analysis object and the brightness of the surrounding environment and the coverage area of the light supplement lamp corresponding to the analysis object as ZXCI and FGMi respectively; collecting the speed reduction frequency of a main body passing through the coverage area of the analysis object light supplementing lamp, and marking the speed reduction frequency of the main body passing through the coverage area of the analysis object light supplementing lamp as JPLi; the traffic body is represented as a communicating pedestrian or vehicle;
by the formula
Obtaining an influence analysis coefficient Xi of an analysis object, wherein a1, a2 and a3 are preset proportionality coefficients, and a1 is more than a2 and more than a3 is more than 0; comparing the influence analysis coefficient Xi of the analysis object with the influence analysis coefficient threshold value:
if the influence analysis coefficient Xi of the analysis object exceeds the influence analysis coefficient threshold value, judging that the influence analysis of the analysis object is abnormal, generating a device influence signal and sending the device influence signal to a monitoring service platform, and after the monitoring service platform receives the device influence signal, rectifying the analysis object with the corresponding number, so as to reduce the coverage area and the brightness value of the corresponding light supplementing lamp;
if the influence analysis coefficient Xi of the analysis object does not exceed the influence analysis coefficient threshold value, judging that the influence analysis of the analysis object is normal, generating a device influence-free signal and sending the device influence-free signal to a monitoring service platform;
the monitoring service platform generates an access control identification monitoring signal and sends the access control identification monitoring signal to the access control identification monitoring unit, and the access control identification monitoring unit monitors and analyzes the vehicle access control identification in the intelligent community after receiving the access control identification monitoring signal and judges whether the vehicle access control identification efficiency is qualified, so that the high efficiency of vehicle access in the intelligent community is improved, the use quality of a user is improved, and meanwhile, the monitoring strength of the intelligent community is ensured;
acquiring a vehicle identification area corresponding to the access control, acquiring the frequency of unrecognizable vehicles in the identification area and the average moving times of the vehicles in the identification area when the vehicles cannot be identified, and comparing the frequency of unrecognizable vehicles in the identification area and the average moving times of the vehicles in the identification area when the vehicles cannot be identified with an unrecognizable frequency threshold and a moving times frequency threshold respectively:
if the frequency of unrecognizable vehicles in the recognition area exceeds an unrecognizable frequency threshold, or the average moving times of the vehicles in the recognition area exceeds a moving times frequency threshold when the vehicles cannot be recognized, judging that the entrance guard recognition is unqualified, generating an entrance guard inefficiency signal and sending the entrance guard inefficiency signal to a monitoring service platform, and after receiving the entrance guard inefficiency signal, the monitoring service platform performs rectifying on corresponding entrance guard equipment, enlarges the area of the corresponding vehicle recognition area and increases the recognition angle of a vehicle recognizer;
if the unrecognizable frequency of the vehicle in the recognition area does not exceed the unrecognizable frequency threshold, and the average moving frequency of the vehicle in the recognition area does not exceed the moving frequency threshold when the vehicle cannot be recognized, judging that the entrance guard recognition is qualified, generating an entrance guard high-efficiency signal and sending the entrance guard high-efficiency signal to a monitoring service platform;
the monitoring service platform receives the emergency event response detection signal and sends the emergency event response detection signal to the emergency event response detection unit, and the emergency event response detection unit detects the emergency event response of the intelligent community after receiving the emergency event response detection signal, wherein the emergency event response is expressed as the behavior of fire in the community, and the coordination capacity of each department in the intelligent community is judged, so that the safety of the intelligent community is improved, and meanwhile, the monitoring strength of the intelligent community is improved;
the method comprises the steps that the interval duration of the emergency event occurrence time and the entrance guard control temporary vehicle entering time and the avoidance speed of the road vehicles in the community are collected, and the interval duration of the emergency event occurrence time and the entrance guard control temporary vehicle entering time and the avoidance speed of the road vehicles in the community are compared with a gap duration threshold and an avoidance speed threshold respectively:
if the interval time between the emergency event occurrence time and the entrance guard control temporary vehicle entering time exceeds a gap time threshold, or the avoidance speed of the vehicles on the road inside the community does not exceed the avoidance speed threshold, judging that the emergency event is unqualified in reaction detection, generating a reaction detection abnormal signal and sending the reaction detection abnormal signal to a monitoring service platform, after the monitoring service platform receives the reaction detection abnormal signal, improving the control speed of entrance guard identification, and simultaneously acquiring peripheral idle parking spaces according to the real-time position of the vehicles on the real-time road when the intelligent community has the emergency event, and taking the idle parking spaces directly as temporary suspendable parking spaces without consideration;
if the interval time between the emergency event occurrence time and the entrance guard control temporary vehicle entering time does not exceed the interval time threshold, and the avoidance speed of the road vehicles in the community exceeds the avoidance speed threshold, judging that the emergency event response detection is qualified, generating a response detection normal signal and sending the response detection normal signal to a monitoring service platform.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the intelligent community fire control system is used, the operation of the fire control equipment in the intelligent community is monitored through the fire control equipment operation monitoring unit, whether the rationality of the fire control equipment setting is normal or not is judged, the setting area of the fire control equipment in the community is obtained, the corresponding setting area is monitored, the fire control equipment setting abnormal signal and the fire control equipment setting normal signal are generated through analysis, and the fire control equipment setting abnormal signal and the fire control equipment setting normal signal are sent to the monitoring service platform; the vehicle monitoring and controlling unit is used for controlling the vehicles in the intelligent community and reasonably planning the parking spaces of the vehicles; carrying out influence analysis on public equipment in the intelligent community by a public equipment influence analysis unit, wherein the public equipment is represented as a monitoring camera in the community, the monitoring camera is marked as an analysis object, an influence analysis coefficient of the analysis object is obtained through analysis, an equipment influence signal and an equipment influence-free signal are generated by comparing the influence analysis coefficient of the analysis object, and the equipment influence signal and the equipment influence-free signal are sent to a monitoring service platform; monitoring and analyzing the vehicle entrance guard identification in the intelligent community through an entrance guard identification monitoring unit, judging whether the vehicle entrance guard identification efficiency is qualified or not, generating an entrance guard high-efficiency signal and an entrance guard low-efficiency signal through analysis, and sending the signals to a monitoring service platform; the emergency event response detection unit is used for carrying out emergency event response detection on the intelligent community, the emergency event response is expressed as the action of fire disaster in the community, the coordination capacity of each department in the intelligent community is judged, the response detection abnormal signal and the response detection normal signal are generated through analysis, and the emergency event response is served by the service monitoring platform.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (6)
1. The intelligent monitoring service system for the intelligent communities based on the big data is characterized by comprising a monitoring service platform, wherein the monitoring service platform is connected with:
the fire-fighting equipment operation monitoring unit is used for monitoring the operation of the fire-fighting equipment in the intelligent community, judging whether the rationality of the fire-fighting equipment setting is normal, acquiring a setting area of the fire-fighting equipment in the community, monitoring the corresponding setting area, generating a fire-fighting equipment setting abnormal signal and a fire-fighting equipment setting normal signal through analysis, and sending the fire-fighting equipment setting abnormal signal and the fire-fighting equipment setting normal signal to the monitoring service platform;
the vehicle monitoring and controlling unit is used for controlling vehicles in the intelligent community and reasonably planning the parking spaces of the vehicles;
the public equipment influence analysis unit is used for carrying out influence analysis on public equipment in the intelligent community, the public equipment is expressed as a monitoring camera in the community, the monitoring camera is marked as an analysis object, the influence analysis coefficient of the analysis object is obtained through analysis, an equipment influence signal and an equipment influence signal are generated according to the influence analysis coefficient of the analysis object in a comparison mode, and the equipment influence signal are sent to the monitoring service platform;
the entrance guard recognition monitoring unit is used for monitoring and analyzing the vehicle entrance guard recognition in the intelligent community, judging whether the vehicle entrance guard recognition efficiency is qualified or not, generating an entrance guard high-efficiency signal and an entrance guard low-efficiency signal through analysis, and sending the signals to the monitoring service platform;
the emergency event response detection unit is used for carrying out emergency event response detection on the intelligent community, the emergency event response is expressed as the action of fire disaster in the community, the coordination capacity of each department in the intelligent community is judged, response detection abnormal signals and response detection normal signals are generated through analysis, and the emergency event response is served by the monitoring platform.
2. The intelligent monitoring service system for intelligent communities based on big data according to claim 1, wherein the operation process of the fire fighting equipment operation monitoring unit is as follows:
collecting maintenance periods of the fire-fighting equipment in each setting area, collecting touch frequency of the fire-fighting equipment in the setting area in the maintenance period and interval duration between the end time and the current time of the maintenance period of the fire-fighting equipment in the setting area in the non-maintenance period, and comparing the interval duration with a touch frequency threshold and an interval duration threshold respectively:
if the touch frequency of the fire-fighting equipment in the setting area in the maintenance period exceeds a touch frequency threshold value, or the interval duration between the end time of the maintenance period of the fire-fighting equipment in the setting area and the current time exceeds an interval duration threshold value in the non-maintenance period, generating a fire-fighting equipment setting abnormal signal and sending the fire-fighting equipment setting abnormal signal to a monitoring service platform; if the touch frequency of the fire-fighting equipment in the setting area in the maintenance period does not exceed the touch frequency threshold value and the interval duration between the end time of the maintenance period of the fire-fighting equipment in the setting area and the current time in the non-maintenance period does not exceed the interval duration threshold value, generating a fire-fighting equipment setting normal signal and sending the fire-fighting equipment setting normal signal to the monitoring service platform.
3. The intelligent monitoring service system of the intelligent community based on big data according to claim 1, wherein the operation process of the vehicle monitoring and controlling unit is as follows:
acquiring the parking time length proportion of the corresponding household host vehicles of each parking space in the intelligent community, marking the corresponding parking space as a low-frequency parking space if the parking time length proportion of the corresponding household host vehicles of the parking space does not exceed the parking time length proportion threshold value, and acquiring a low-use probability time period of the low-frequency parking space according to the daily parking time length of the low-frequency parking space; if the parking time length ratio of the corresponding household host vehicle exceeds the parking time length ratio threshold, marking the corresponding parking space as a high-frequency parking space, and acquiring a high-use probability time period of the low-frequency parking space according to the daily parking time length of the low-frequency parking space;
when a temporary vehicle in the intelligent community enters, taking a low-frequency parking space in a low-use probability time period at the current moment as a temporary parking space of the temporary vehicle, generating a vehicle moving signal after a host vehicle corresponding to the low-frequency parking space passes through a community entrance gate, sending the vehicle moving signal and the temporary parking space position around the current temporary vehicle to a mobile phone terminal of a driver of the temporary vehicle, and marking the temporary vehicle as a non-accessible vehicle if the temporary vehicle does not finish moving within a set time threshold; if the temporary vehicle enters and then stops to the high-frequency parking space or does not stop to the corresponding low-frequency parking space in the low-use probability time period, generating a signal that the vehicle cannot stop and sending the signal that the vehicle cannot stop to the mobile phone terminal of the driver corresponding to the temporary vehicle.
4. The intelligent monitoring service system of the intelligent community based on big data according to claim 1, wherein the operation process of the public equipment influence analysis unit is as follows:
collecting the minimum difference value of the brightness of the light supplement lamp corresponding to the analysis object and the brightness of the surrounding environment, the coverage area of the light supplement lamp corresponding to the analysis object and the speed reduction frequency of the passing main body in the coverage area of the light supplement lamp of the analysis object; the traffic body is represented as a communicating pedestrian or vehicle;
obtaining an influence analysis coefficient of an analysis object through analysis; comparing the impact analysis coefficient of the analysis object with an impact analysis coefficient threshold value:
if the influence analysis coefficient of the analysis object exceeds the influence analysis coefficient threshold, judging that the influence analysis of the analysis object is abnormal, generating a device influence signal and sending the device influence signal to a monitoring service platform; if the influence analysis coefficient of the analysis object does not exceed the influence analysis coefficient threshold, judging that the influence analysis of the analysis object is normal, generating a device influence-free signal and sending the device influence-free signal to the monitoring service platform.
5. The intelligent monitoring service system of the intelligent community based on big data as claimed in claim 1, wherein the operation process of the access control identification monitoring unit is as follows:
acquiring a vehicle identification area corresponding to the access control, acquiring the frequency of unrecognizable vehicles in the identification area and the average moving times of the vehicles in the identification area when the vehicles cannot be identified, and comparing the frequency with an unrecognizable frequency threshold and a moving times frequency threshold respectively:
if the unrecognizable frequency of the vehicle in the recognition area exceeds an unrecognizable frequency threshold, or the average moving frequency of the vehicle in the recognition area exceeds a moving frequency threshold when the vehicle cannot be recognized, generating an entrance guard inefficiency signal and sending the entrance guard inefficiency signal to a monitoring service platform; if the frequency of the unrecognizable vehicle in the recognition area does not exceed the unrecognizable frequency threshold, and the average moving frequency of the vehicle in the recognition area does not exceed the moving frequency threshold when the vehicle cannot be recognized, generating an entrance guard high-efficiency signal and sending the entrance guard high-efficiency signal to a monitoring service platform.
6. The intelligent monitoring service system for intelligent communities based on big data according to claim 1, wherein the emergency event response detection unit operates as follows:
the method comprises the steps that the interval duration between the emergency event occurrence time and the entrance guard control temporary vehicle entering time and the avoidance speed of the road vehicles in the community are collected, and are compared with a gap duration threshold and an avoidance speed threshold respectively:
if the interval time between the emergency event occurrence time and the entrance guard control temporary vehicle entering time exceeds a gap time threshold or the avoidance speed of the road vehicles in the community does not exceed an avoidance speed threshold, generating a reaction detection abnormal signal and sending the reaction detection abnormal signal to a monitoring service platform; if the interval time between the emergency event occurrence time and the entrance guard control temporary vehicle entering time does not exceed the gap time threshold, and the avoidance speed of the road vehicles in the community exceeds the avoidance speed threshold, generating a reaction detection normal signal and sending the reaction detection normal signal to the monitoring service platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211086479.6A CN116110156A (en) | 2022-08-28 | 2022-08-28 | Intelligent monitoring service system of intelligent community based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211086479.6A CN116110156A (en) | 2022-08-28 | 2022-08-28 | Intelligent monitoring service system of intelligent community based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116110156A true CN116110156A (en) | 2023-05-12 |
Family
ID=86258544
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211086479.6A Pending CN116110156A (en) | 2022-08-28 | 2022-08-28 | Intelligent monitoring service system of intelligent community based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116110156A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805204A (en) * | 2023-08-24 | 2023-09-26 | 超网实业(成都)股份有限公司 | Intelligent plant monitoring method and system |
| CN117575177A (en) * | 2024-01-16 | 2024-02-20 | 四川省大数据技术服务中心 | Basic society digital control system based on data fusion technology |
| CN117875718A (en) * | 2024-02-28 | 2024-04-12 | 广州天辰信息科技有限公司 | Community intelligent management service method and system based on big data |
-
2022
- 2022-08-28 CN CN202211086479.6A patent/CN116110156A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116805204A (en) * | 2023-08-24 | 2023-09-26 | 超网实业(成都)股份有限公司 | Intelligent plant monitoring method and system |
| CN116805204B (en) * | 2023-08-24 | 2023-12-01 | 超网实业(成都)股份有限公司 | Intelligent plant monitoring method and system |
| CN117575177A (en) * | 2024-01-16 | 2024-02-20 | 四川省大数据技术服务中心 | Basic society digital control system based on data fusion technology |
| CN117575177B (en) * | 2024-01-16 | 2024-04-02 | 四川省大数据技术服务中心 | Basic society digital control system based on data fusion technology |
| CN117875718A (en) * | 2024-02-28 | 2024-04-12 | 广州天辰信息科技有限公司 | Community intelligent management service method and system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116110156A (en) | Intelligent monitoring service system of intelligent community based on big data | |
| KR101817350B1 (en) | Sensing Control Apparatus for Security Entrance of Walkway using Artificial Intelligence | |
| CN103985171A (en) | Cloud entrance guard barrier gate management method and device | |
| CN109472895A (en) | A kind of security protection integrated application management system and its management implementation method | |
| CN111127943A (en) | Electric vehicle illegal parking prohibition management system | |
| CN205721229U (en) | A kind of intelligent estate management system | |
| CN105516659A (en) | Intelligent safe-guard system and method based on face emotion recognition | |
| WO2021204302A1 (en) | Intelligent access control device | |
| CN103077612A (en) | System and method for detecting road occupation of automotive vehicle on fire-fighting access | |
| CN201138498Y (en) | Theft-resisting early alarming apparatus of distributing transformer based on GSM technique | |
| CN114999141A (en) | Battery car parking management method, device, equipment, system and readable storage medium | |
| CN113256998A (en) | Special vehicle and working state identification method and equipment thereof | |
| CN212463373U (en) | Fire fighting access monitoring management system | |
| CN108711246A (en) | A kind of community's burglary-resisting system and method based on Internet of Things | |
| CN113702833A (en) | Corridor battery car monitoring system and method | |
| KR20190080521A (en) | Device and method for monitoring disabled parking lot using radar | |
| CN208188614U (en) | A kind of Internet of Things intelligent safety and defence system | |
| CN111932921A (en) | Communication method of highway traffic accident early warning prediction system | |
| KR20190100131A (en) | Device and method for monitoring disabled parking lot using radar | |
| CN212608866U (en) | Intelligent elevator monitoring system | |
| CN108203946A (en) | A kind of vehicle intercepts apparatus control system | |
| CN115037051A (en) | Electric bicycle safety management system | |
| CN210244575U (en) | Identification system of intelligent bus station | |
| CN106329705A (en) | Modernized parking integrated control system | |
| CN208890957U (en) | A kind of Intelligent Home monitoring management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |