CN113516796A - Non-contact position information acquisition method based on Internet of things device - Google Patents
Non-contact position information acquisition method based on Internet of things device Download PDFInfo
- Publication number
- CN113516796A CN113516796A CN202010273456.0A CN202010273456A CN113516796A CN 113516796 A CN113516796 A CN 113516796A CN 202010273456 A CN202010273456 A CN 202010273456A CN 113516796 A CN113516796 A CN 113516796A
- Authority
- CN
- China
- Prior art keywords
- position information
- user
- detected
- internet
- module
- 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
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000004364 calculation method Methods 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000007689 inspection Methods 0.000 abstract description 27
- 238000007726 management method Methods 0.000 abstract description 27
- 238000012795 verification Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000013500 data storage Methods 0.000 description 2
- 238000013524 data verification Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000012216 screening 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
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
-
- 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
-
- 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
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
Abstract
The invention discloses a non-contact position information acquisition method based on an Internet of things device, which comprises the following steps: s1, the administrator logs in the monitoring software server account, maintains the information of the user to be detected, and the user to be detected is positioned; s2, the positioning information of the user to be detected is collected and reported by the positioning device of the Internet of things, the information of the user to be detected is uploaded to the user management module, and the positioning information of the user to be detected is collected by the position information collection module; s3, collecting the position information of the user to be detected and uploading the position information to the position information calculation module, and determining the specific coordinates of the user to be detected; and S4, uploading the position information of the user to be detected to a position information display module, and displaying the current position through an icon by the position information display module. The invention is simple and novel, the routine inspection operation does not need the inspection personnel to report the position information actively, the position and the motion track of the inspection personnel of the mobile positioning device are accurately acquired, the inspection process is completely mastered, the promotion of the hospital logistics inspection management method is facilitated, and the method is suitable for popularization.
Description
Technical Field
The invention relates to the technical field of hospital logistics inspection, in particular to a non-contact position information acquisition method based on an internet of things device.
Background
As daily management of hospital logistics, equipment inspection can be said to be a basic requirement. The most traditional inspection mode is to print out an inspection sheet, stick the inspection sheet on a preset inspection point, and fill in information such as name, time and the like on the inspection sheet after inspection personnel finish inspection, but the inspection method has many defects, for example, inspection records can be forged, a plurality of records can be filled in at one time, and the inspection can be directly carried out to an inspection point for signature and the like without inspection. Later, electronic inspection is available, an inspection stick is placed on an inspection point, an inspector brushes a portable passive electronic tag after arriving at the inspection point, and although the problems of inquiry and real-time statistics of inspection records are solved, the process is discrete, and the problems of counterfeiting and the like are still not solved well.
In recent years, with the development and application of technologies such as physical networks, the technology of internet of things has penetrated into the medical industry. When the intelligent hospital is in good fire, the core of the application of the intelligent hospital is the internet of things. Hospital logistics informatization depends on the Internet of things technology, helps hospitals to realize intelligent management work on people and objects, meets the requirements of logistics equipment, public safety intelligent management, equipment inspection and the like, and solves the problems of potential safety hazards in hospital production and the like. In order to improve the logistics routing inspection management method of the hospital and achieve the full control of the routing inspection process, the combination of the networking technology to realize the position information acquisition and the motion trail tracking of routing inspectors is an effective method for improving the logistics informatization management of the intelligent hospital.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a non-contact position information acquisition method based on an Internet of things device.
A non-contact position information acquisition method based on an Internet of things device comprises a monitoring software server and an Internet of things positioning device, wherein the monitoring software server comprises a system login module, a user management module, a position information acquisition module, a position information management module, a position information calculation module and a position information display module, the Internet of things positioning device comprises a position acquisition device, a fixed positioning device and a mobile positioning device, and the method comprises the following steps:
s1, the administrator logs in the account of the monitoring software server through the system login module, maintains the information of the user to be monitored, and selects the user to be monitored to be positioned;
s2, the Internet of things positioning device collects and reports the relevant positioning information of the user to be detected, the information of the user to be detected is uploaded to the user management module, and the administrator collects the positioning information of the user to be detected through the position information collection module;
s3, uploading the collected position information of the user to be detected to a position information calculation module through an information management module, and determining the specific coordinate position of the user to be detected;
and S4, uploading the calculated position information of the user to be detected to a position information display module, and displaying the current position of the user to be detected by the position information display module through an icon.
Furthermore, the position information display module comprises a display screen map, the user to be detected can move on the display screen map through icons in the position information display module in the moving process to form a moving track, and the display screen map is defined as a two-dimensional graph or a three-dimensional graph according to actual needs.
Furthermore, the positioning device of the internet of things comprises a position collector, a fixed positioning device and a mobile positioning device, and is composed of WIFI, RFID or Bluetooth technical equipment, so that link establishment and data acquisition and transmission among positioning nodes are completed.
Furthermore, the fixed positioning devices are attached to floors or ceilings of rooms at equal intervals, a position collector is deployed in a signal range from three to five nodes received by the fixed positioning devices in a distance measurement mode, and the position collector is used for collecting position information of the user to be detected received by each fixed positioning device and is in communication connection with the monitoring software server.
Further, the user management module stores user basic information in advance, the user basic information includes a user name, department information and a contact way, and the user management module binds the user to be detected and the mobile positioning device one by one.
Furthermore, the position information acquisition module receives the relevant positioning information of the user to be detected, which is reported and acquired by the positioning device of the internet of things, through a wired or serial port mode, and performs data processing on the acquired positioning information, filters out incomplete data or data which is not matched with the information of the user to be detected, and stores the filtered position information data to the position information management module.
Further, the position information calculation module determines the specific coordinate position of the user to be detected according to a triangular centroid algorithm, and the position information acquisition module establishes a safe connection with the internet of things positioning device in a handshaking mode.
The invention provides a non-contact position information acquisition method based on an Internet of things device. According to the method, the optimal RSSI data is obtained through multiple screening in the processes of position information acquisition and data preprocessing, so that the positioning accuracy is improved and the application requirement is met. The method is simple and novel, the polling personnel does not need to actively report position information in daily polling operation, the positions and the motion tracks of the polling personnel carrying the mobile positioning devices to be acquired can be accurately calculated, the polling process is completely mastered, the promotion of the hospital logistics polling management method is facilitated, and the method is suitable for market popularization.
Drawings
FIG. 1 is a schematic block diagram of a non-contact location information acquisition method based on an Internet of things device according to the present invention;
FIG. 2 is a data processing flow chart of a position information collection module of the non-contact position information collection method based on the Internet of things device according to the invention;
fig. 3 is a service flow diagram of a position information calculation module of a non-contact position information collection method based on an internet of things device according to the present invention.
Detailed Description
The present invention will be further illustrated with reference to the following specific examples.
The invention provides a non-contact position information acquisition method based on an Internet of things device, which comprises a monitoring software server and an Internet of things positioning device, wherein the monitoring software server comprises a system login module, a user management module, a position information acquisition module, a position information management module, a position information calculation module and a position information display module, the Internet of things positioning device comprises a position acquisition device, a fixed positioning device and a mobile positioning device, and the method comprises the following steps:
s1, the administrator logs in the account of the monitoring software server through the system login module, maintains the information of the user to be monitored, and selects the user to be monitored to be positioned;
s2, the Internet of things positioning device collects and reports the relevant positioning information of the user to be detected, the information of the user to be detected is uploaded to the user management module, and the administrator collects the positioning information of the user to be detected through the position information collection module;
s3, uploading the collected position information of the user to be detected to a position information calculation module through an information management module, and determining the specific coordinate position of the user to be detected;
and S4, uploading the calculated position information of the user to be detected to a position information display module, and displaying the current position of the user to be detected by the position information display module through an icon.
The position information display module comprises a display screen map, a user to be detected can move on the display screen map through an icon in the position information display module in the moving process to form a moving track, the display screen map is defined into a two-dimensional graph or a three-dimensional graph according to actual needs, the positioning device of the internet of things comprises a position collector, a fixed positioning device and a mobile positioning device, the position collector, the fixed positioning device and the mobile positioning device are composed of WIFI, RFID or Bluetooth technical equipment, link establishment and data acquisition and transmission among positioning nodes are completed, the fixed positioning device is attached to a floor crossing or a room ceiling at equal intervals, a position collector is deployed in a signal range of three to five nodes received by actual measurement at a distance, the position collector is used for collecting position information of the user to be detected and received by each fixed positioning device and is in communication connection with a monitoring software server, and basic user information is stored in the user management module in advance, the user basic information comprises a user name, department information and a contact mode, the user management module binds a user to be detected and the mobile positioning device one by one, the position information acquisition module receives related positioning information of the user to be detected, which is reported and acquired by the Internet of things positioning device, through a wired or serial port mode, and performs data processing on the acquired positioning information, incomplete data or data which is unmatched with the information of the user to be detected are filtered out, the filtered position information data are stored in the position information management module, the position information calculation module determines the specific coordinate position of the user to be detected according to a triangular centroid algorithm, and the position information acquisition module establishes safe connection with the Internet of things positioning device through a handshaking mode.
In this embodiment, first, user information is collected in advance through a user management module, the collected information includes basic information such as a user name, department information, a contact way, and the like, an administrator logs in a monitoring software server through a system login module, checks the position of a user to be detected, establishes a communication connection with a fixed positioning device and a mobile positioning device, receives collected related positioning information of the user to be detected, which is reported by the fixed positioning device and the mobile positioning device, performs data processing on the collected positioning information through the position information management module, and filters incomplete data or data unmatched with the user information to be detected, wherein a calculation process of the position information management module is as follows: and receiving and analyzing response message data acquired by the first group of Internet of things positioning platforms, marking the data acquired by the positioning acquisition device L1 as A1 ', marking the data acquired by the L2 as A2 ', and marking the data acquired by Ln in turn as An '. Dirty data verification and filtering of user verification and data preprocessing are respectively carried out on A1 ' and A2 ' … An ' in the group of data. The RSSI value of the collected user needs to satisfy [ R1, R2 ]]The interval is used for processing dirty data which does not meet the requirement of user verification or data of which the RSSI value is not in the preset interval; and receiving and analyzing the response message data collected by the second group, marking the data collected by the positioning collection device L1 as B1 ', the data collected by the L2 as B2 ', and the data collected by the Ln in turn as Bn '. The previous dirty data check is performed on the data group B1 ' and B2 ' … Bn '. Setting the RSSI fluctuation range of the received data [ S1, S2 ]]The interval is used for judging whether the group data meets preset conditions of preset reported data, and the method comprises the following steps: the group of data Bn' anda group of data An' variation difference, and judging whether the variation difference is smaller than a preset RSSI fluctuation upper limit threshold value S1; and judging whether the variation difference between the data group Bn 'and the previous data group An' is larger than a preset RSSI fluctuation upper limit threshold value S2. Performing dirty data processing on data which do not meet user verification or have RSSI values not within a preset interval or have RSSI variation difference values not within an RSSI fluctuation range; and sequentially receiving and analyzing the response message data acquired by the Mth group, marking the data acquired by the positioning acquisition device L1 as M1 ', the data acquired by the L2 as M2 ', and the data acquired by the Ln as Mn ', and performing data verification on the Mth group according to the user verification, the RSSI preset interval or not and the RSSI change difference value or not in the preset RSSI fluctuation interval. Performing dirty data processing on data which do not meet user verification or have RSSI values not within a preset interval or have RSSI variation difference values not within an RSSI fluctuation range; taking 1 to M groups of data sets as a whole as primary effective data, and calculating the average value of the data measured by each positioning acquisition device
Calculating the probability K of the user to be detected appearing in L1 and L2 … Ln,
the average RSSI values measured by Ln are:
the probability of occurrence in Ln is: kn (the number of times of appearance of the user to be tested)/M times
Transferring the primary valid data to a position information management module for data storage, wherein the data storage comprises the following steps: positioning acquisition device Ln information, to-be-detected user information and RSSI average value
The probability Kn of Ln; and receiving and processing the M data sets as the x-th valid data. The xth effective data comprises positioning acquisition device Ln information, user information to be detected and RSSI average value
The probability Kx of Ln is transferred to the position information management module for data storageThe position information calculation module carries out position accurate calculation on three groups of position information of the user to be detected, wherein the judgment mode of the position information calculation module is as follows:
unit of meter;
wherein A is the RSSI absolute value at 1 meter from the positioning acquisition device, and n is an environmental attenuation factor; and marking positions of the calculated data through a position information display module and displaying the marked positions on a display screen map model, wherein a plurality of groups of continuous position data form a motion track of a user for display on a display screen.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (7)
1. The non-contact position information acquisition method based on the device of the Internet of things comprises a monitoring software server and a positioning device of the Internet of things, and is characterized in that the monitoring software server comprises a system login module, a user management module, a position information acquisition module, a position information management module, a position information calculation module and a position information display module, the positioning device of the Internet of things comprises a position acquisition device, a fixed positioning device and a mobile positioning device, and the method comprises the following steps:
s1, the administrator logs in the account of the monitoring software server through the system login module, maintains the information of the user to be monitored, and selects the user to be monitored to be positioned;
s2, the Internet of things positioning device collects and reports the relevant positioning information of the user to be detected, the information of the user to be detected is uploaded to the user management module, and the administrator collects the positioning information of the user to be detected through the position information collection module;
s3, uploading the collected position information of the user to be detected to a position information calculation module through an information management module, and determining the specific coordinate position of the user to be detected;
and S4, uploading the calculated position information of the user to be detected to a position information display module, and displaying the current position of the user to be detected by the position information display module through an icon.
2. The non-contact position information acquisition method based on the internet of things device according to claim 1, wherein the position information display module comprises a display screen map, the user to be detected can move on the display screen map through icons in the position information display module in the moving process to form a moving track, and the display screen map is defined as a two-dimensional graph or a three-dimensional graph according to actual needs.
3. The non-contact position information acquisition method based on the device of the internet of things as claimed in claim 1, wherein the positioning device of the internet of things comprises a position acquisition device, a fixed positioning device and a mobile positioning device, and is composed of WIFI, RFID or Bluetooth technical equipment, so that link establishment and data acquisition and transmission among positioning nodes are completed.
4. The non-contact position information acquisition method based on the internet of things device as claimed in claim 1, wherein the fixed positioning devices are attached to a floor crossing or a ceiling of a room at equal intervals, a position collector is deployed in a range where three to five nodes are actually received by the fixed positioning devices, and the position collector is used for collecting position information of a user to be detected received by each fixed positioning device and is in communication connection with a monitoring software server.
5. The non-contact position information acquisition method based on the internet of things device as claimed in claim 1, wherein the user management module pre-stores user basic information, the user basic information comprises a user name, department information and a contact way, and the user management module binds a user to be detected and the mobile positioning device one by one.
6. The non-contact position information acquisition method based on the internet of things device as claimed in claim 1, wherein the position information acquisition module receives the relevant positioning information of the user to be detected, which is reported and acquired by the internet of things positioning device, through a wired or serial port mode, performs data processing on the acquired positioning information, filters out incomplete data or data which is not matched with the information of the user to be detected, and stores the filtered position information data in the position information management module.
7. The non-contact position information acquisition method based on the internet of things device as claimed in claim 1, wherein the position information calculation module determines the specific coordinate position of the user to be detected according to a triangular centroid algorithm, and the position information acquisition module establishes a secure connection with the internet of things positioning device in a handshaking manner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010273456.0A CN113516796A (en) | 2020-04-09 | 2020-04-09 | Non-contact position information acquisition method based on Internet of things device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010273456.0A CN113516796A (en) | 2020-04-09 | 2020-04-09 | Non-contact position information acquisition method based on Internet of things device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113516796A true CN113516796A (en) | 2021-10-19 |
Family
ID=78060265
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010273456.0A Pending CN113516796A (en) | 2020-04-09 | 2020-04-09 | Non-contact position information acquisition method based on Internet of things device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113516796A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104157021A (en) * | 2014-08-12 | 2014-11-19 | 广州中国科学院沈阳自动化研究所分所 | Intelligent inspection system and intelligent inspection method |
| CN105303636A (en) * | 2015-10-28 | 2016-02-03 | 深圳市慧友安电子技术有限公司 | Wireless routing-inspection system and routing-inspection management method |
| CN110084917A (en) * | 2019-04-08 | 2019-08-02 | 山东瀚岳智能科技股份有限公司 | A kind of prison institute intelligent patrol detection managing and control system on duty and method |
-
2020
- 2020-04-09 CN CN202010273456.0A patent/CN113516796A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104157021A (en) * | 2014-08-12 | 2014-11-19 | 广州中国科学院沈阳自动化研究所分所 | Intelligent inspection system and intelligent inspection method |
| CN105303636A (en) * | 2015-10-28 | 2016-02-03 | 深圳市慧友安电子技术有限公司 | Wireless routing-inspection system and routing-inspection management method |
| CN110084917A (en) * | 2019-04-08 | 2019-08-02 | 山东瀚岳智能科技股份有限公司 | A kind of prison institute intelligent patrol detection managing and control system on duty and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN201594088U (en) | Novel indoor wireless air quality monitor | |
| CN106097755A (en) | For identifying the method parked place and/or vacate place | |
| CN108303673A (en) | A kind of UWB 3 D positioning systems based on video auxiliary positioning | |
| CN109686061A (en) | Bridge monitoring aid decision-making system based on GIS and BIM | |
| CN107818430A (en) | A kind of building engineering construction progress msg management method and system based on BIM | |
| CN106297252B (en) | A kind of industrial park air pollution surveillance system | |
| CN113804598A (en) | Construction environment monitoring system and monitoring method based on big data | |
| CN108008352A (en) | Job site personnel alignment system based on WSN | |
| CN105574593A (en) | Track state static-state detection and control system and method based on cloud computing and big data | |
| CN107860425A (en) | A kind of bridge structural health monitoring and early warning system and method | |
| CN105118108B (en) | A kind of long-distance oil ＆ gas pipeline method for inspecting and system | |
| CN114518143A (en) | Intelligent environment sensing system | |
| CN113344745A (en) | Engineering project intelligent construction site data acquisition and analysis integrated cloud platform based on remote video monitoring and cloud computing | |
| CN207946517U (en) | A kind of UWB 3 D positioning systems based on video auxiliary positioning | |
| CN115640860B (en) | Electromechanical equipment remote maintenance method and system for industrial cloud service | |
| CN113053063A (en) | Mobile terminal-based disaster online disposal flow implementation method | |
| CN104484988A (en) | Automatic space structure health monitoring system based on curved-surface wall-climbing robot sensor | |
| CN109445363A (en) | A kind of construction site dynamic security monitoring system based on Outlier Detection Algorithm | |
| CN110084336B (en) | Monitoring object management system and method based on wireless positioning | |
| CN112446543A (en) | Urban underground comprehensive pipe gallery risk management and control system and method based on neural network | |
| CN108734072B (en) | Multi-source object association method and device | |
| CN205050204U (en) | Testing system is supported to intelligence concrete test block mark based on thing networking | |
| CN107179103A (en) | A kind of Indoor Environment Detection method and device | |
| CN113516796A (en) | Non-contact position information acquisition method based on Internet of things device | |
| CN114255521A (en) | Data processing system, method and device based on inspection robot and storage medium |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211019 |
|
| RJ01 | Rejection of invention patent application after publication |