CN116342354A - Internet of things big data management system for park - Google Patents
Internet of things big data management system for park Download PDFInfo
- Publication number
- CN116342354A CN116342354A CN202310613835.3A CN202310613835A CN116342354A CN 116342354 A CN116342354 A CN 116342354A CN 202310613835 A CN202310613835 A CN 202310613835A CN 116342354 A CN116342354 A CN 116342354A
- Authority
- CN
- China
- Prior art keywords
- park
- module
- data
- safety
- monitoring
- 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.)
- Granted
Links
- 238000013523 data management Methods 0.000 title claims abstract description 26
- 238000009826 distribution Methods 0.000 claims abstract description 35
- 238000007726 management method Methods 0.000 claims abstract description 25
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims description 99
- 238000004519 manufacturing process Methods 0.000 claims description 41
- 230000005540 biological transmission Effects 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 27
- 238000011157 data evaluation Methods 0.000 claims description 20
- 238000004458 analytical method Methods 0.000 claims description 19
- 230000002159 abnormal effect Effects 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 15
- 238000004088 simulation Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000011835 investigation Methods 0.000 claims description 6
- 230000036541 health Effects 0.000 claims description 5
- 230000001360 synchronised effect Effects 0.000 claims description 5
- 238000013461 design Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 230000006855 networking Effects 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 5
- 238000004590 computer program Methods 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000001737 promoting effect Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000004931 aggregating effect Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- 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
- G06Q50/265—Personal security, identity or safety
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/20—Analytics; Diagnosis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/30—Control
- G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/50—Safety; Security of things, users, data or systems
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Computing Systems (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Computer Security & Cryptography (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Biomedical Technology (AREA)
- Alarm Systems (AREA)
Abstract
The invention relates to the technical field of big data management of the Internet of things and discloses a big data management system of the Internet of things for a park, which is beneficial to collecting specific coordinates of the park, merchant distribution and equipment configuration information through a coordinate information collecting module and a merchant distribution collecting module by arranging a regional unit and a control center, is beneficial to distributing corresponding safety management resources according to specific distribution details of park resource configuration, further improves the overall safety performance of the park, further reduces the cost required by the overall safety management, and simultaneously is beneficial to dividing and managing the overall park by arranging a regional dividing module, is beneficial to corresponding safety management resources in each divided small park, and further increases the safety accident processing efficiency of the park by synchronously processing the safety accidents in each small park through the distributed safety management resources when the park encounters a plurality of groups of safety accidents.
Description
Technical Field
The invention relates to the technical field of big data management of the Internet of things, in particular to a big data management system of the Internet of things for a campus.
Background
The park is a special regional environment created aiming at promoting the development of a certain industry, is an important space aggregation form for regional economic development and industrial adjustment and upgrading, is responsible for a series of important tasks such as aggregating innovative resources, cultivating emerging industry, promoting urban construction and the like, and is called an industrial park for short, and because the park is a special regional environment established for promoting the development of a certain specific industry, the park is commonly used for carrying out centralized management on the park by a big data management method of the Internet of things, and the method not only can improve the overall production efficiency of products, but also can monitor and regulate the overall safety environment of the park;
the safety management scope in the big data management method of the internet of things of the park mainly comprises equipment safety, traffic safety, fire safety, anti-theft safety, electricity safety, environment safety and the like, but the big data of the internet of things of the conventional park is synchronously carried out on the whole park in the actual operation process, but the following problems still exist in the actual use process of the big data management method of the internet of things of the conventional park:
1. the park safety management resource distribution is not uniform, and the main reason for the occurrence of the problems is as follows: in the conventional big data management method of the campus Internet of things, the management processing is mainly carried out on the same resources in a whole-area synchronous manner for the safety management of the campus in the actual operation process, and the configuration distribution of the whole campus is in an uneven state, so that the phenomenon of uneven distribution of the safety management resources exists in the conventional big data management method of the campus Internet of things in the use process, and the safety of the campus is reduced;
2. the park safety performance cannot be evaluated and pre-warned, and the main reason for the occurrence of the problems is as follows: in the actual use process of the conventional campus Internet of things big data management method, whether the safety accident occurs in the area is judged mainly through manually reading all monitoring data, and alarm reminding processing is conducted on the basis of the safety accident, so that the conventional campus Internet of things big data management method possibly causes economic loss of the campus in the actual use process.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, the embodiment of the invention provides a big data management system of internet of things for parks, which aims to solve the technical problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a regional unit, a monitoring unit, a data transmission unit, a data evaluation unit and a control center, wherein the monitoring unit is used for monitoring the real-time state of production equipment in the park, the indoor and outdoor temperatures of the park, the electricity quantity of the park and the air quality of the park in real time, the regional unit is used for collecting the park coordinates and the configuration distribution information of merchants, the monitoring unit is used for carrying out real-time monitoring processing on the park, the data transmission unit is used for carrying out transmission operation on the real-time data in the monitoring unit, the monitoring unit and the regional unit, the data evaluation unit is used for grading the safety coefficient through the transmission data in the monitoring unit, and the control center is used for carrying out centralized control processing on the regional unit, the monitoring unit, the data transmission unit and the data evaluation unit;
the data evaluation unit further comprises a safety coefficient scoring module and an analysis module, wherein the safety coefficient scoring module carries out corresponding calculation through data acquired in an interval and obtains a corresponding safety coefficient score H, and the analysis module judges the safety coefficient scoring result in the safety coefficient scoring module and carries out early warning processing through a control center when the scoring result is in an abnormal range;
the safety coefficient scoring module is used for acquiring data in a section as follows: running health state scoring average value of production equipment in corresponding park
Corresponding to the average value of indoor and outdoor temperature difference of a park>
Average value of content of harmful substances in air of corresponding park>
Normalized and form a security score +.>
The calculation formula is as follows: />
In the formula->
、/>
、/>
Is the formula weight, and ∈>
，/>
Is the formula correlation coefficient, and f is the ideal state known by the control center through data simulation +.>
T is the value of ++in the ideal state known by the control center through data simulation>
V is the value of ++in the ideal state known by the control center through data simulation>
The numerical value of (2) when>
The safety coefficient of the corresponding small park can be judged to be in a stable range when +.>
And the control center can send out safety precaution to the corresponding small park.
In a preferred embodiment, the area unit further comprises an area dividing module, a coordinate information acquisition module and a merchant distribution acquisition module, the coordinate information acquisition module is provided through satellites and ground position mapping equipment, merchant distribution acquisition is mainly provided through park design drawings, manual real-time investigation and unmanned aerial vehicle aerial investigation, specific information acquired by the coordinate information acquisition module and the merchant distribution acquisition module is conveyed to the area dividing module, the area dividing module conveys the park two-dimensional image to the control center through a data transmission unit to divide the park two-dimensional image into n groups of small park two-dimensional images, and statistics is carried out on the number of times of security incidents occurring in each quarter in the divided small park.
1. In a preferred embodiment, the specific flow of the area dividing module for transmitting the area dividing two-dimensional graph to the control center through the data transmission unit to divide the two-dimensional graph into n groups of small two-dimensional graphs of the park is as follows:
s01, collecting specific coordinate information of the park and configuration distribution information of merchants, and drawing a two-dimensional map of the park according to the collected coordinate information;
s02, dividing the drawn garden two-dimensional map into n groups of small garden two-dimensional maps according to equal proportion, and marking the n groups of small garden two-dimensional maps as L1, L2 and L3 … Ln in sequence;
s03, sequentially collecting merchant configuration information in the two-dimensional graphs of the n groups of small parks, and transmitting collected data to a control center;
and S04, the control center distributes the safety management resources according to the two-dimensional map of the small park and the merchant configuration information.
In a preferred embodiment, the safety management resources are on-campus fire protection equipment, monitoring equipment, alarm devices and personnel patrol devices, and the specific allocation process of the safety management resources in the process S04 is as follows: firstly, calculating the ratio of the sum of the allocation distribution of each merchant in the divided n groups of small-sized park two-dimensional graphs to the allocation sum of the merchants in the whole park, and dividing the equal ratio of the safety resources of the whole park according to the allocation distribution ratio data of each merchant in the divided n groups of small-sized park two-dimensional graphs.
In a preferred embodiment, the monitoring unit further comprises a production equipment real-time state monitoring module, an indoor and outdoor temperature monitoring module, a park electric quantity monitoring module and a park air quality monitoring module, wherein the production equipment real-time monitoring module monitors the running health state score F of each production equipment in the park in real time, the scoring range is 0-100, 0-60 is an abnormal working state, 60-70 is an equipment abnormal working early warning state, and 70-100 is a normal working state, wherein the abnormal working state refers to that the park production equipment is in a state that normal working cannot be performed due to damage of internal parts, the abnormal working early warning state refers to that the park production equipment is in a state that production efficiency is lower than normal production efficiency due to self reasons, and the normal working state refers to that the park production equipment is in a normal production efficiency state.
In a preferred embodiment, the monitoring unit further comprises a park camera, a face recognition module, a cloud monitoring module and a reminding module, wherein the park camera is used for monitoring the internal and external environments of the whole park in real time, the face recognition module is used for setting up face information of a recognized employee and stranger at a park entrance and classifying and storing the face information of the two types, the cloud monitoring module is used for recognizing human bodies at night, recognizing whether pedestrians exist in night monitoring and recognizing the faces of the pedestrians, judging whether the pedestrians are park employees, and if the non-park employees arrive at the site through the reminding module to be verified through a security department.
In a preferred embodiment, the reminding module further comprises a transmitting end and terminal equipment, the transmitting end is processed through a signal transmission device in the control center, the terminal equipment is divided into a movable device and a non-movable device, the movable device can be divided into an interphone, a mobile phone and a remote synchronous video device, and the non-movable device is a control center display screen.
In a preferred embodiment, the data transmission unit further comprises a data line and a 5G network.
2. In a preferred embodiment, the data evaluation unit comprises the following specific operating steps:
s11, the monitoring unit monitors and collects corresponding data of the park through a production equipment real-time state monitoring module, an indoor and outdoor temperature monitoring module, a park electric quantity monitoring module and a park air quality monitoring module;
s12, monitoring data is transmitted to a data transmission operation through a data line in the data transmission unit and a 5G network;
s13, a safety coefficient scoring module and an analysis module in the data evaluation unit evaluate and analyze the safety coefficient through each item of data in the interval;
s14, transmitting the analysis result to a control center, and implementing corresponding safety measures on the corresponding small-sized park through the analysis result by the control center.
In a preferred embodiment, the data collected by the real-time status monitoring module, the indoor and outdoor temperature monitoring module, the campus electric quantity monitoring module and the campus air quality monitoring module of the production equipment in the monitoring unit in step S11 are respectively stored in corresponding data storage libraries, and corresponding independent operation systems are adopted when the safety coefficient evaluation is performed in different small-sized parks in step S13.
The invention has the technical effects and advantages that:
1. the regional unit and the control center are arranged, so that the specific coordinates of the park, the merchant distribution and equipment configuration information are collected through the coordinate information collection module and the merchant distribution collection module, the corresponding safety management resource distribution is performed according to the specific distribution details of the park resource configuration, the overall safety performance of the park is further improved, meanwhile, the cost required by the overall safety management is further reduced, meanwhile, the regional division module is arranged, the division management of the overall park is facilitated, the corresponding safety management resources are arranged in each divided small park, and when the park encounters a plurality of groups of safety accidents, the distributed safety management resources synchronously process the safety accidents in the range of each small park, so that the safety accident processing efficiency of the park is further improved;
2. the invention is beneficial to the monitoring unit to monitor and collect the corresponding data of the park through the real-time state monitoring module, the indoor and outdoor temperature monitoring module, the park electric quantity monitoring module and the park air quality monitoring module of the production equipment, and the collected data is subjected to safety coefficient evaluation and analysis through the safety coefficient scoring module in the data evaluation unit and the analysis module in the interval, so that the control center can perform safety early warning on the corresponding small park through the abnormal analysis result of the analysis module, thereby playing the role of early warning, reducing the probability of park safety accidents to a certain extent, reducing the occurrence of economic losses in the park and the like;
drawings
FIG. 1 is a schematic overall flow chart of the present invention.
FIG. 2 is a flow chart of the operation steps of the zone unit of the present invention.
FIG. 3 is a flowchart illustrating the operation steps of the data evaluation unit according to the present invention.
Detailed Description
The following description will be made in detail, with reference to the drawings, of the present invention, wherein the configurations of the structures described in the following embodiments are merely examples, and the internet of things big data management system for a campus according to the present invention is not limited to the configurations described in the following embodiments, and all other embodiments obtained by a person having ordinary skill in the art without making any creative effort are within the scope of the present invention.
Referring to fig. 1, the internet of things big data management system for a campus comprises a regional unit, a monitoring unit, a data transmission unit, a data evaluation unit and a control center, wherein the monitoring unit is used for monitoring the real-time state of production equipment in the campus, the indoor and outdoor temperatures of the campus, the electricity quantity of the campus and the air quality of the campus in real time, the regional unit is used for collecting the coordinates of the campus and the configuration distribution information of merchants, the monitoring unit is used for carrying out real-time monitoring processing on the campus, the data transmission unit is used for carrying out transmission operation on the real-time data in the monitoring unit, the monitoring unit and the regional unit, the data evaluation unit is used for grading the safety coefficient through the transmission data in the monitoring unit, and the control center is used for carrying out centralized control processing on the regional unit, the monitoring unit, the data transmission unit and the data evaluation unit;
the regional unit also comprises a regional division module, a coordinate information acquisition module and a merchant distribution acquisition module, wherein the coordinate information acquisition module is provided by satellite and ground position mapping equipment, merchant distribution acquisition is mainly provided by a park design drawing, manual real-time investigation and unmanned aerial vehicle aerial investigation, specific information acquired by the coordinate information acquisition module and the merchant distribution acquisition module is transmitted to the regional division module, the regional division module is transmitted to the control center by a data transmission unit to divide a park two-dimensional image into n groups of small park two-dimensional images, and meanwhile, statistics is carried out on the number of times of occurrence of safety accidents in each quarter in the divided small park;
the data evaluation unit further comprises a safety coefficient scoring module and an analysis module, wherein the safety coefficient scoring module carries out corresponding calculation through data acquired in an interval and obtains a corresponding safety coefficient score H, and the analysis module judges the safety coefficient scoring result in the safety coefficient scoring module and carries out early warning processing through a control center when the scoring result is in an abnormal range;
the safety coefficient scoring module is used for acquiring data in a section as follows: running health state scoring average value of production equipment in corresponding park
Corresponding to the average value of indoor and outdoor temperature difference of a park>
Average value of content of harmful substances in air of corresponding park>
Normalized and form a security score +.>
The calculation formula is as follows: />
In the formula->
、/>
、/>
Is the formula weight, and ∈>
，/>
Is the formula correlation coefficient, and f is the ideal state known by the control center through data simulation +.>
T is the value of ++in the ideal state known by the control center through data simulation>
V is the value of ++in the ideal state known by the control center through data simulation>
Is a numerical value of (a).
In the embodiment of the application, when
Can judge the corresponding small park securityThe whole coefficient is in the stable range, when +.>
The control center can send safety precaution to the corresponding small park, meanwhile, the control center displays specific data in the detection unit on the display screen, so that workers can analyze what type of safety accidents possibly occur in the small park through the specific data, the workers can conveniently carry out corresponding processing in the later period, meanwhile, a time interval is required by data acquisition, specific numerical values of the time interval are required to be set according to actual conditions, and the time interval cannot be less than 30min and cannot be more than 360min;
in this embodiment of the present application, after the division is performed according to the configuration distribution data of the whole campus provided by the merchant distribution acquisition module, the data is distributed according to the different configuration distribution numbers in the corresponding small-sized campus
、/>
、/>
The value of (2) will be changed correspondingly, but +.>
，/>
The value is the ratio of the number of safety accidents in the corresponding small park to the number of safety accidents in the whole park in each quarter, and when the number of safety accidents in the whole park in the interval is 0, the weight is added>
The value was set to 0.1.
Referring to fig. 2, the specific flow of the area dividing module for transmitting the area dividing two-dimensional graph to the control center through the data transmission unit to divide the two-dimensional graph into n groups of small-sized two-dimensional graphs of the campus is as follows:
s01, collecting specific coordinate information of the park and configuration distribution information of merchants, and drawing a two-dimensional map of the park according to the collected coordinate information;
s02, dividing the drawn garden two-dimensional map into n groups of small garden two-dimensional maps according to equal proportion, and marking the n groups of small garden two-dimensional maps as L1, L2 and L3 … Ln in sequence;
s03, sequentially collecting merchant configuration information in the two-dimensional graphs of the n groups of small parks, and transmitting collected data to a control center;
and S04, the control center distributes the safety management resources according to the two-dimensional map of the small park and the merchant configuration information.
Referring to fig. 2, the safety management resources are fire-fighting equipment, monitoring equipment, an alarm device and a personnel patrol device in the campus, and the specific allocation process of the safety management resources in the process S04 is as follows: firstly, calculating the ratio of the sum of the allocation distribution of each merchant in the divided n groups of small-sized park two-dimensional graphs to the allocation sum of the merchants in the whole park, and dividing the equal ratio of the safety resources of the whole park according to the allocation distribution ratio data of each merchant in the divided n groups of small-sized park two-dimensional graphs.
In this embodiment of the present application, the number of times of occurrence of the security accident in the corresponding small-sized park is: the sum of the number of times the fire-fighting equipment and the alarm device are used and the number of times the personnel patrol device reaches the designated position to process the security event in the corresponding safety management resource in the small-scale park.
Referring to fig. 1, the monitoring unit further includes a real-time status monitoring module for production equipment, an indoor and outdoor temperature monitoring module, a power monitoring module for a campus, and an air quality monitoring module for the campus, where the real-time monitoring module for the production equipment monitors the running health status score F of each production equipment in the campus in real time, and the scoring range is 0-100, where 0-60 is an abnormal working status, 60-70 is an equipment abnormal working early warning status, and 70-100 is a normal working status, where the abnormal working status refers to that the production equipment for the campus is in a status where normal working cannot be performed due to damage of internal parts, and the abnormal working early warning status refers to that the production equipment for the campus is in a status where production efficiency is lower than normal production efficiency due to self-cause, and the normal working status refers to that the production equipment for the campus is in a normal production efficiency status.
Referring to fig. 1, the monitoring unit further comprises a park camera, a face recognition module, a cloud monitoring module and a reminding module, the park camera monitors the internal and external environments of the whole park in real time, the face recognition module is used for setting up a park entrance, recognizing face information of staff and strangers and storing the face information of the two types of face information in a classified mode, the cloud monitoring module can conduct human body recognition at night, recognizes whether pedestrians exist in night monitoring, carries out face recognition on the pedestrians, judges whether the pedestrians are park staff, and if the non-park staff arrive at the site through a security department through the reminding module for verification.
In this embodiment of the application, the reminding module still includes long-range pronunciation reminding device, when the vehicle appears in garden fire control passageway department, and cloud monitoring module detects that there is the vehicle to enter into fire control passageway, sends into control center with this message is synchronous and sends early warning and reminds, and control center carries out pronunciation to its vehicle through pronunciation reminding device simultaneously, arranges that the staff arrives the scene and dissuades simultaneously to avoid fire control passageway to appear special conditions such as blocking.
Referring to fig. 1, the reminding module further includes a transmitting end and a terminal device, the transmitting end is processed by a signal transmission device inside the control center, the terminal device is divided into a mobile device and a non-mobile device, the mobile device can be divided into an interphone, a mobile phone and a remote synchronous video device, and the non-mobile device is a control center display screen.
Referring to fig. 1, the data transmission unit further includes a data line and a 5G network.
Referring to fig. 3, the specific operation steps of the data evaluation unit are as follows:
s11, the monitoring unit monitors and collects corresponding data of the park through a production equipment real-time state monitoring module, an indoor and outdoor temperature monitoring module, a park electric quantity monitoring module and a park air quality monitoring module;
s12, monitoring data is transmitted to a data transmission operation through a data line in the data transmission unit and a 5G network;
s13, a safety coefficient scoring module and an analysis module in the data evaluation unit evaluate and analyze the safety coefficient through each item of data in the interval;
s14, transmitting the analysis result to a control center, and implementing corresponding safety measures on the corresponding small-sized park through the analysis result by the control center.
Referring to fig. 3, in step S11, data collected by the real-time status monitoring module, the indoor and outdoor temperature monitoring module, the campus electric quantity monitoring module, and the campus air quality monitoring module of the production equipment in the monitoring unit are respectively stored in corresponding data repositories, and in step S13, corresponding independent computing systems are adopted for evaluating safety coefficients in different small-sized parks.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions in accordance with the embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired means from one website site, computer, server, or data center. Computer readable storage media can be any available media that can be accessed by a computer or data storage devices, such as servers, data centers, etc. that contain one or more collections of available media. The usable medium may be a magnetic medium, an optical medium, or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The utility model provides a big data management system of thing networking for garden, includes regional unit, monitoring unit, data transmission unit, data evaluation unit and control center, its characterized in that: the monitoring unit monitors the real-time state of production equipment in the park, the indoor and outdoor temperature of the park, the electricity quantity of the park and the air quality of the park in real time, the regional unit acquires the park coordinates and the configuration distribution information of merchants, the monitoring unit monitors the park in real time, the data transmission unit transmits real-time data in the monitoring unit, the monitoring unit and the regional unit, the data evaluation unit scores the safety coefficient through the transmission data in the monitoring unit, and the control center performs centralized control processing on the regional unit, the monitoring unit, the data transmission unit and the data evaluation unit;
the regional unit also comprises a regional division module, a coordinate information acquisition module and a merchant distribution acquisition module, wherein the coordinate information acquisition module is provided by satellite and ground position mapping equipment, merchant distribution acquisition is mainly provided by a park design drawing, manual real-time investigation and unmanned aerial vehicle aerial investigation, specific information acquired by the coordinate information acquisition module and the merchant distribution acquisition module is transmitted to the regional division module, the regional division module is transmitted to the control center by a data transmission unit to divide a park two-dimensional image into n groups of small park two-dimensional images, and meanwhile, statistics is carried out on the number of times of occurrence of safety accidents in each quarter in the divided small park;
the data evaluation unit further comprises a safety coefficient scoring module and an analysis module, wherein the safety coefficient scoring module carries out corresponding calculation through data acquired in an interval and obtains a corresponding safety coefficient score H, and the analysis module judges the safety coefficient scoring result in the safety coefficient scoring module and carries out early warning processing through a control center when the scoring result is in an abnormal range;
the safety coefficient scoring module is used for acquiring data in a section as follows: running health state scoring average value of production equipment in corresponding park
Corresponding to the average value of indoor and outdoor temperature difference of a park>
Average value of content of harmful substances in air of corresponding park>
Normalized and form a security score +.>
The calculation formula is as follows: />
In the formula->
、/>
、/>
Is the formula weight, and ∈>
，/>
Is the formula correlation coefficient, and f is the ideal state known by the control center through data simulation +.>
T is the value of ++in the ideal state known by the control center through data simulation>
V is the value of ++in the ideal state known by the control center through data simulation>
The numerical value of (2);
2. The internet of things big data management system for a campus of claim 1, wherein: when (when)
The safety coefficient of the corresponding small park can be judged to be in a stable range when +.>
And the control center can send out safety precaution to the corresponding small park.
3. The internet of things big data management system for a campus of claim 1, wherein: the specific flow of dividing the two-dimensional graph of the park into n groups of small-sized park two-dimensional graphs is as follows:
s01, collecting specific coordinate information of the park and configuration distribution information of merchants, and drawing a two-dimensional map of the park according to the collected coordinate information;
s02, dividing the drawn garden two-dimensional map into n groups of small garden two-dimensional maps according to equal proportion, and marking the n groups of small garden two-dimensional maps as L1, L2 and L3 … Ln in sequence;
s03, sequentially collecting merchant configuration information in the two-dimensional graphs of the n groups of small parks, and transmitting collected data to a control center;
and S04, the control center distributes the safety management resources according to the two-dimensional map of the small park and the merchant configuration information.
4. The internet of things big data management system for a campus of claim 3, wherein: the safety management resources are fire-fighting equipment, monitoring equipment, alarm devices and personnel patrol devices in the campus, and the specific distribution process of the safety management resources in the process S04 is as follows: firstly, calculating the ratio of the sum of the allocation distribution of each merchant in the divided n groups of small-sized park two-dimensional graphs to the allocation sum of the merchants in the whole park, and dividing the equal ratio of the safety resources of the whole park according to the allocation distribution ratio data of each merchant in the divided n groups of small-sized park two-dimensional graphs.
5. The internet of things big data management system for a campus of claim 1, wherein: the monitoring unit further comprises a production equipment real-time state monitoring module, an indoor and outdoor temperature monitoring module, a park electric quantity monitoring module and a park air quality monitoring module, wherein the production equipment real-time monitoring module monitors the running health state score F of each production equipment in the park in real time, the scoring range is 0-100, 0-60 is an abnormal working state, 60-70 is an abnormal working early warning state of equipment, 70-100 is a normal working state, the abnormal working state refers to the fact that the park production equipment cannot work normally due to damage of internal parts, the abnormal working early warning state refers to the fact that the park production equipment is in a state with production efficiency lower than normal production efficiency due to self reasons, and the normal working state refers to the fact that the park production equipment is in a normal production efficiency state.
6. The internet of things big data management system for a campus of claim 1, wherein: the monitoring unit further comprises a park camera, a face recognition module, a cloud monitoring module and a reminding module, wherein the park camera monitors the internal and external environments of the whole park in real time, the face recognition module is used for setting up park entrance, recognizing face information of staff and strangers and classifying and storing the face information of the two types, the cloud monitoring module can recognize human bodies at night, recognizes whether pedestrians exist in night monitoring and carries out face recognition on the pedestrians, judges whether the pedestrians are park staff, and if the non-park staff arrive at the site through the reminding module, verifies through a security department.
7. The internet of things big data management system for a campus of claim 6, wherein: the reminding module further comprises a transmitting end and terminal equipment, the transmitting end is processed through a signal transmission device in the control center, the terminal equipment is divided into a movable device and a non-movable device, the movable device can be divided into an interphone, a mobile phone and a remote synchronous video device, and the non-movable device is a control center display screen.
8. The internet of things big data management system for a campus of claim 1, wherein: the data transmission unit further comprises a data line and a 5G network.
9. The internet of things big data management system for a campus of claim 1, wherein: the data evaluation unit comprises the following specific operation steps:
s11, the monitoring unit monitors and collects corresponding data of the park through a production equipment real-time state monitoring module, an indoor and outdoor temperature monitoring module, a park electric quantity monitoring module and a park air quality monitoring module;
s12, monitoring data is transmitted to a data transmission operation through a data line in the data transmission unit and a 5G network;
s13, a safety coefficient scoring module and an analysis module in the data evaluation unit evaluate and analyze the safety coefficient through each item of data in the interval;
s14, transmitting the analysis result to a control center, and implementing corresponding safety measures on the corresponding small-sized park through the analysis result by the control center.
10. The internet of things big data management system for a campus of claim 9, wherein: the data collected by the monitoring unit internal production equipment real-time state monitoring module, the indoor and outdoor temperature monitoring module, the park electric quantity monitoring module and the park air quality monitoring module in the step S11 are respectively stored in corresponding data storage libraries, and corresponding independent operation systems are adopted when the safety coefficient evaluation is carried out in different small parks in the step S13.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310613835.3A CN116342354B (en) | 2023-05-29 | 2023-05-29 | Internet of things big data management system for park |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310613835.3A CN116342354B (en) | 2023-05-29 | 2023-05-29 | Internet of things big data management system for park |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116342354A true CN116342354A (en) | 2023-06-27 |
| CN116342354B CN116342354B (en) | 2023-07-25 |
Family
ID=86886214
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310613835.3A Active CN116342354B (en) | 2023-05-29 | 2023-05-29 | Internet of things big data management system for park |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116342354B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106504501A (en) * | 2016-12-02 | 2017-03-15 | 陈彦舟 | The monitoring of long-distance intelligent comprehensive energy consumption and metering system |
| US20170154517A1 (en) * | 2014-07-04 | 2017-06-01 | Koninklijke Philips N.V. | Air quality alert system and method |
| CN112164208A (en) * | 2020-10-12 | 2021-01-01 | 天津飞眼无人机科技有限公司 | Emergency method and emergency system for chemical industry park |
| CN112556076A (en) * | 2020-12-23 | 2021-03-26 | 吉林省自然力生态科技应用有限公司 | Ecological air purification system for removing indoor decoration gas pollution |
| CN214818402U (en) * | 2021-03-19 | 2021-11-23 | 贵阳护理职业学院(贵阳市卫生学校) | Multi-functional maintenance of equipment of computer |
| CN113793234A (en) * | 2021-11-16 | 2021-12-14 | 中通服建设有限公司 | Wisdom garden platform based on digit twin technique |
| CN115082018A (en) * | 2022-06-16 | 2022-09-20 | 沈阳琰讯科技有限公司 | Park safety management method and system based on Internet of things |
| CN115375264A (en) * | 2022-08-08 | 2022-11-22 | 江苏安科瑞微电网研究院有限公司 | Intelligent park comprehensive management system and management method thereof |
-
2023
- 2023-05-29 CN CN202310613835.3A patent/CN116342354B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170154517A1 (en) * | 2014-07-04 | 2017-06-01 | Koninklijke Philips N.V. | Air quality alert system and method |
| CN106504501A (en) * | 2016-12-02 | 2017-03-15 | 陈彦舟 | The monitoring of long-distance intelligent comprehensive energy consumption and metering system |
| CN112164208A (en) * | 2020-10-12 | 2021-01-01 | 天津飞眼无人机科技有限公司 | Emergency method and emergency system for chemical industry park |
| CN112556076A (en) * | 2020-12-23 | 2021-03-26 | 吉林省自然力生态科技应用有限公司 | Ecological air purification system for removing indoor decoration gas pollution |
| CN214818402U (en) * | 2021-03-19 | 2021-11-23 | 贵阳护理职业学院(贵阳市卫生学校) | Multi-functional maintenance of equipment of computer |
| CN113793234A (en) * | 2021-11-16 | 2021-12-14 | 中通服建设有限公司 | Wisdom garden platform based on digit twin technique |
| CN115082018A (en) * | 2022-06-16 | 2022-09-20 | 沈阳琰讯科技有限公司 | Park safety management method and system based on Internet of things |
| CN115375264A (en) * | 2022-08-08 | 2022-11-22 | 江苏安科瑞微电网研究院有限公司 | Intelligent park comprehensive management system and management method thereof |
Non-Patent Citations (4)
| Title |
|---|
| ALEXANDRA SCHIEWECK 等: "Smart homes and the control of indoor air quality", 《RENEWABLE AND SUSTAINABLE ENERGY REVIEWS》, vol. 94, pages 705 - 718, XP085453847, DOI: 10.1016/j.rser.2018.05.057 * |
| MOSTAFA HAGHI 等: "A Flexible and Pervasive IoT-Based Healthcare Platform for Physiological and Environmental Parameters Monitoring", 《IEEE INTERNET OF THINGS JOURNAL》, vol. 7, no. 6, pages 5628, XP011793081, DOI: 10.1109/JIOT.2020.2980432 * |
| 张成: "智能建筑及园区能源管理系统", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, no. 10, pages 038 - 198 * |
| 段相勇: "基于Open Wrt的移动教学系统设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 8, pages 138 - 766 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116342354B (en) | 2023-07-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020015242A1 (en) | Video application and early warning scheduling system platform based on three-dimensional map | |
| CN111257507B (en) | Unmanned aerial vehicle-based gas concentration detection and accident early warning system | |
| CN104159067A (en) | Intelligent monitoring system and method based on combination of 3DGIS with real scene video | |
| CN113487251B (en) | Natural disaster early warning and emergency response method and system based on one-key type remote sensing | |
| CN107454364B (en) | Distributed real-time image acquisition and processing system in video monitoring field | |
| CN112084963B (en) | Monitoring early warning method, system and storage medium | |
| CN111294561A (en) | Video-based online patrol method, electronic device, storage medium and system | |
| CN104954744A (en) | Smoke detection system | |
| CN111476964A (en) | Remote forest fire prevention monitoring system and method | |
| CN114358980A (en) | Intelligent community property management system and method based on Internet of things | |
| CN112188164A (en) | AI vision-based violation real-time monitoring system and method | |
| CN111404874A (en) | Taxi suspect vehicle discrimination analysis system architecture | |
| CN103634576B (en) | A kind of highway mobile terminal monitoring system and method | |
| CN117408757B (en) | Intelligent evaluation system for monitoring advertisement putting effect | |
| CN110738466A (en) | kinds of park management system and method | |
| CN114677640A (en) | Intelligent construction site safety monitoring system and method based on machine vision | |
| CN116342354B (en) | Internet of things big data management system for park | |
| CN113627321A (en) | Image identification method and device based on artificial intelligence and computer equipment | |
| CN203968263U (en) | The intelligent monitor system combining with outdoor scene video based on 3DGIS | |
| CN116502886A (en) | Burn power plant wisdom security protection system | |
| CN113345245A (en) | Evidence obtaining system for non-motor vehicle violation snapshot and working method | |
| CN115083212A (en) | Unmanned aerial vehicle location intelligent management system based on three-dimensional modeling | |
| CN115457471A (en) | Intelligent park monitoring method and system | |
| CN215987316U (en) | Visual monitoring management system | |
| CN107945581A (en) | Aircraft monitoring and managing method, device, storage medium and mobile terminal |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |