CN116541693B - Open construction environment personnel detection method and working personnel on-duty management system - Google Patents
Open construction environment personnel detection method and working personnel on-duty management system Download PDFInfo
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Abstract
The application discloses an open construction environment personnel detection method and a working personnel on-duty management system, and relates to the technical field of working management. Continuously transmitting an unoriented positioning radio frequency signal to a management area; continuously receiving a positioning feedback signal of a positioning radio frequency signal; continuously acquiring the position of personnel in the management area according to the received positioning feedback signal; obtaining identity monitoring points according to the position analysis of the personnel in the management area which is continuously obtained; transmitting an identification radio frequency signal at an identity monitoring point; continuously receiving an identity feedback signal for identifying the radio frequency signal; and obtaining the position and the identity of the personnel in the management area according to the received identity feedback signal. The application improves the accuracy and the comprehensiveness of the identity recognition of the labor staff, and simultaneously realizes the accurate and comprehensive monitoring of the on-duty state of the labor staff.
Description
Technical Field
The application belongs to the technical field of labor management, and particularly relates to an open construction environment personnel detection method and an on-duty management system for labor personnel.
Background
In the field of building construction, personnel management is a critical task. Due to the openness of construction sites, personnel access management is a significant challenge, especially for the workers at the site. The management and attendance checking of the system not only plays an important role in personnel safety, but also relates to the control of the construction period and the improvement of the working efficiency.
The present personnel management mainly relies on manual attendance and some basic electronic devices, such as an attendance machine, but the devices can only provide a single identification mode (such as fingerprint identification or facial identification) and have low accuracy. On the other hand, most of the existing on-duty management systems cannot monitor the position information of the personnel in real time, so that the effect of personnel management is greatly reduced.
A person detection system and a person detection method are disclosed in the patent publication No. CN105719368A, the person detection system including a thermal sensor and an indoor device. The thermal sensor extracts a thermal image of the indoor space. The personnel detection system switches among a personnel entering detection mode, a first personnel leaving detection mode corresponding to the closing of the indoor equipment and a second personnel leaving detection mode corresponding to the opening of the indoor equipment, wherein the personnel detection system executes a personnel entering detection program according to the thermal image in the personnel entering detection mode; in the first person leaving detection mode and the second person leaving detection mode, a person leaving detection program is executed based on the thermal image. According to the scheme, detection of people and no people is achieved in a thermal sensor mode, and identification and management of the identities of the people cannot be achieved.
Disclosure of Invention
The application aims to provide an open construction environment personnel detection method and a working personnel on-duty management system, which improve the accuracy and the comprehensiveness of the identity recognition of the working personnel by planning the personnel detection points in a management area and realize the accurate and comprehensive monitoring of the working personnel on-duty state.
In order to solve the technical problems, the application is realized by the following technical scheme:
the application provides an open construction environment personnel detection method, which comprises the following steps of,
continuously transmitting an unoriented positioning radio frequency signal to a management area;
continuously receiving a positioning feedback signal of the positioning radio frequency signal;
continuously acquiring the position of the personnel in the management area according to the received positioning feedback signal;
obtaining identity monitoring points according to the continuously obtained position analysis of the personnel in the management area;
transmitting an identification radio frequency signal at the identity monitoring point;
continuously receiving an identity feedback signal of the identification radio frequency signal;
and obtaining the position and the identity of the personnel in the management area according to the received identity feedback signal.
The application also discloses a method for detecting the open construction environment personnel, which comprises the following steps,
receiving and transmitting the positioning radio frequency signal and the positioning feedback signal in the open construction environment personnel detection method respectively;
receiving the identification radio frequency signal in the open construction environment personnel detection method;
modulating the identity information carrier wave into an identity feedback signal in the open construction environment personnel detection method;
and sending the identity feedback signal.
The application also discloses a working personnel on duty management system which is characterized by comprising,
the management end is used for continuously transmitting the non-directional positioning radio frequency signals to the management area;
the mobile terminal is used for respectively receiving and transmitting a positioning radio frequency signal and a positioning feedback signal;
the management end is further used for continuously receiving a positioning feedback signal of the positioning radio frequency signal;
continuously acquiring the position of the personnel in the management area according to the received positioning feedback signal;
obtaining identity monitoring points according to the continuously obtained position analysis of the personnel in the management area;
transmitting an identification radio frequency signal at the identity monitoring point;
the mobile terminal is further configured to receive the identification radio frequency signal;
modulating the identity information into a carrier wave as the identity feedback signal;
transmitting the identity feedback signal;
the management end is also used for continuously receiving the identity feedback signal of the identification radio frequency signal;
obtaining the position and the identity of the personnel in the management area according to the received identity feedback signal;
and performing on-duty management on the personnel according to the position and the identity of the personnel in the management area.
The application improves the accuracy and the comprehensiveness of the identity identification of the labor staff by planning the identity monitoring points in the management area, and realizes the monitoring of the on-duty state of the labor staff. The system comprises a management end and a mobile end. The management end continuously transmits an unoriented positioning radio frequency signal, and the mobile end receives and transmits the positioning radio frequency signal and a positioning feedback signal. The management end also continuously receives the positioning feedback signal, obtains the position and the identity of the personnel through analysis, and sends and identifies the radio frequency signal at the identity monitoring point. The mobile terminal receives the identification radio frequency signal, modulates the identity information into an identity feedback signal and sends the identity feedback signal. The management end continuously receives an identity feedback signal for identifying the radio frequency signal, and obtains the position and the identity of the personnel according to the signal. The system uses the location and identity of the person to perform on-Shift management. The system improves the accuracy of identity identification and the comprehensiveness of monitoring, and provides effective management and monitoring means for the labor staff in the management area.
Of course, it is not necessary for any one product to practice the application to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an interactive unit and information flow of an on-duty management system for a staff member according to an embodiment of the present application;
FIG. 2 is a flow chart of steps performed by the on duty management system of the present application;
FIG. 3 is a flowchart illustrating the step S3 according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating the step S4 according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating the step S42 according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating the step S425 according to an embodiment of the present application;
FIG. 7 is a flowchart illustrating the step S43 according to an embodiment of the present application;
FIG. 8 is a flowchart illustrating the step S436 according to an embodiment of the present application;
FIG. 9 is a flowchart illustrating the step S44 according to an embodiment of the present application;
in the drawings, the list of components represented by the various numbers is as follows:
1-management end, 2-mobile end.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In order to comprehensively and accurately manage the on-duty status of personnel in an open environment, the identity and the position of the personnel in a management area need to be determined, and therefore, the application provides the following scheme.
Referring to fig. 1 to 2, the present application provides an on-duty management system for staff, which includes a management end 1 and a mobile end 2 that interact with each other. The management terminal 1 may be a complete set of equipment including various radio frequency units and a control server, and the mobile terminal 2 may be a passive radio frequency antenna module or a portable and wearable device.
In practical application, the management end 1 may first perform step S1 to continuously transmit the non-directional positioning radio frequency signal to the management area. Next, the mobile terminal 2 performs step S01 to receive and transmit the positioning radio frequency signal and the positioning feedback signal, respectively. And then the management end 1 executes step S2 to continuously receive the positioning feedback signal of the positioning radio frequency signal. Step S3 may be performed to continuously obtain the position of the person in the management area according to the received positioning feedback signal. Step S4 can be executed to obtain identity monitoring points according to the continuously acquired position analysis of the personnel in the management area. Step S5 may then be performed to transmit an identification radio frequency signal at the identity monitoring point. The mobile terminal is further configured to execute step S02 to receive the identification radio frequency signal. Step S03 may then be performed to modulate the identity information carrier into said identity feedback signal. Step S04 may then be performed to send the identity feedback signal. Then, the management end 1 may perform step S6 to continuously receive the identity feedback signal of the identified radio frequency signal, and then may perform step S7 to obtain the position and the identity of the personnel in the management area according to the received identity feedback signal. Finally, step S8 can be executed to perform personnel on-duty management according to the positions and identities of the personnel in the management area.
In the implementation process, the management end transmits a non-directional radio frequency signal, and the mobile end transmits a positioning radio frequency signal and a feedback signal. The management end continuously receives the feedback signal, acquires the position and the identity of the personnel, and sends an identification signal to the monitoring point. The mobile terminal receives the identification signal and modulates the identity information to be sent as a feedback signal. The system utilizes the position and the identity to carry out on-duty management, improves the recognition accuracy and the monitoring comprehensiveness, and provides effective management and monitoring for the labor staff.
From the perspective of the management end 1, the workflow is from step S1 to step S7, that is, the step of executing the open construction environment personnel detection method, so that identity monitoring can be performed on mobile personnel in the open environment. To supplement the flow of steps S1 to S7, source codes of part of the functional units are provided and explained in the annotation section.
Necessary libraries are imported/imported
#include <iostream>
#include <vector>
It is assumed that we have a Signal class and a Person class
#include "Signal.h"
#include "Person.h"
List of/setup persons
std::vector<Person> persons;
Continuously transmitting non-directional positioning radio frequency signals to a management area
void emitLocationSignal() {
Signal signal;
Transmitting signals
}
Location feedback signal for/(and continuous reception of location radio frequency signal
Signal receiveLocationFeedback() {
Signal signal;
Receive feedback signal
return signal;
}
Continuously acquiring the position of personnel in the management area according to the received positioning feedback signal
void getLocationFromFeedback(Signal signal) {
Signal to obtain personnel position
for(auto &person : persons){
Update person's location
}
}
Obtaining identity monitoring points according to the position analysis of personnel in the management area which is continuously obtained
void analyzeToGetMonitorPoint() {
Analyzer location to obtain identity monitoring points
}
Transmitting identification radio frequency signal at identity monitoring point
void emitIdentifySignal() {
Signal signal;
Transmitting an identification radio frequency signal
}
Identity feedback signal for continuously receiving and identifying radio frequency signal
Signal receiveIdentifyFeedback() {
Signal signal;
Receive feedback signal
return signal;
}
Obtaining the position and identity of personnel in the management area according to the received identity feedback signal
void getIdentityFromFeedback(Signal signal) {
Signal acquisition of personnel identity
for(auto &person : persons){
Updating person's identity
}
}
Referring to fig. 3, in order to eliminate the erroneous position due to possible signal receiving deviation in the rf position detection, the step S3 may be executed to obtain the position distribution of the personnel in the management area at a plurality of adjacent moments according to the positioning feedback signals received multiple times. Step S32 may then be performed to number the locations of personnel within the management area at a plurality of adjacent times based on the carrier information and/or signal characteristics of the positioning feedback signal. Step S33 may be performed next to number the positions of the same person at adjacent times according to the positions of the person in the management area at the times. Step S34 may then be performed to obtain the speed of movement of the person based on the position of the same person at a plurality of adjacent times. Finally, step S35 may be executed to reject the moving speed of the person exceeding the set speed, so as to obtain the position of the person in the management area.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
Necessary libraries are imported/imported
#include <iostream>
#include <vector>
#include <map>
It is assumed that we have a Signal class and a Person class
#include "Signal.h"
#include "Person.h"
Establishing personnel location information list
std::map<int, std::vector<Person>> personLocationInfo;
Upper limit of personnel moving speed is set
double max_speed = 10.0;
Obtaining the position distribution of personnel in the management area in a plurality of adjacent moments according to the positioning feedback signals received for a plurality of times
void getPositionDistribution(std::vector<Signal> signals) {
Obtaining personnel position distribution from signals
for(auto &signal : signals){
For example, storing the position information corresponding to each signal in personLocationInfo
// personLocationInfo[signal.time] = getPersonsFromSignal(signal);
}
}
Numbering the positions of persons in the management area at a plurality of adjacent moments according to the carrier information and/or signal characteristics of the positioning feedback signals
void assignIdToPosition() {
Number of personnel locations based on signal characteristics
}
Numbering according to the positions of the personnel in the management area in a plurality of moments to obtain the positions of the same personnel in a plurality of adjacent moments
void getPositionOfSamePerson() {
Obtaining the positions of the same person at different moments according to the numbers
}
Obtaining the moving speed of the same person according to the positions of the same person at a plurality of adjacent moments
double getPersonSpeed(Person person) {
Obtaining a person movement speed from a location
return 0.0;
}
Removing the moving speed of the personnel exceeding the set speed to obtain the position of the personnel in the management area
void filterPersonBySpeed() {
for(auto &entry : personLocationInfo){
for(auto it = entry.second.begin(); it != entry.second.end();){
if(getPersonSpeed(*it) > max_speed){
it=entry. Second. Erase (it);// person with too fast deletion rate
}else{
++it;
}
}
}
}
Referring to fig. 4, since the effective distance between the identification rf signal and the identity feedback signal is short, in order to increase the coverage effect, step S41 may be executed first in the implementation process to obtain the position distribution of the personnel in the management area in each period of the working day according to the continuously acquired positions of the personnel in the management area. Step S42 may be performed next to obtain a concentration range and a concentration center of the person in the management area in each period of the workday from the position distribution of the person in the management area in each period of the workday. Step S43 may be performed next to obtain a comprehensive centralized scope and a comprehensive centralized center of the personnel in the management area in each time period of the workday from the centralized scope and the centralized center of the personnel in the management area in each time period of the workday. And finally, step S44 can be executed to obtain identity monitoring points according to the comprehensive centralized range and the comprehensive centralized center of the personnel in the management area in each period of the working day.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
Necessary libraries are imported/imported
#include <iostream>
#include <vector>
#include <map>
It is assumed that we have a Signal class and a Person class
#include "Signal.h"
#include "Person.h"
#include "Location.h"
Time period of/(setting working day)
std::vector<int> workday_periods;
Obtaining the position distribution of the personnel in the management area in each period of the working day according to the continuously acquired positions of the personnel in the management area
std::map<int, std::vector<Location>> getWorkdayLocationDistribution() {
std::map<int, std::vector<Location>> distribution;
Obtaining a person position distribution over each time period
return distribution;
}
Obtaining the concentration range and concentration center of the personnel in the management area in each time period of the workday according to the position distribution of the personnel in the management area in each time period of the workday
std::map<int, Location> getWorkdayFocusRangeAndCenter(std::map<int, std::vector<Location>> distribution) {
std::map<int, Location> focusRangeAndCenter;
Calculating the concentration ranges and concentration centers for each time period
return focusRangeAndCenter;
}
Obtaining the comprehensive centralized range and the comprehensive centralized center of the personnel in the management area in each period of the workday according to the centralized range and the centralized center of the personnel in the management area in each period of the workday
std::map<int, Location> getWorkdayComprehensiveFocusRangeAndCenter(std::map<int, Location> focusRangeAndCenter) {
std::map<int, Location> comprehensiveFocusRangeAndCenter;
Calculating a comprehensive concentration range and a comprehensive concentration center within each time period
return comprehensiveFocusRangeAndCenter;
}
Obtaining identity monitoring points according to the comprehensive centralized range and the comprehensive centralized center of personnel in the management area in each period of the working day
std::vector<Location> getIdentifyMonitorPoints(std::map<int, Location> comprehensiveFocusRangeAndCenter) {
std::vector<Location> identifyMonitorPoints;
Obtaining identity monitoring points according to the comprehensive centralized scope and the comprehensive centralized center
return identifyMonitorPoints;
}
Referring to fig. 5, in order to improve the effective coverage of the identification feedback signal and the identification rf signal during each time period, a single centralized area needs to cover as many people as possible. In view of this, step S42 described above may be performed in the process of first acquiring all the historic positions of the personnel in the management area according to the position distribution of the personnel in the management area. Step S422 may then be performed to pick a number of locations within the management area as a hub. Step S423 may next be performed to obtain distances of the concentration center from each historical location. Step S424 may then be performed to group the history location and the closest hub into the same hub group. Step S425 may then be performed to derive a centralized range from the distribution range of the history locations within each centralized grouping. Step S426 may then be performed to take the geometric center of the focus range as the updated focus center. Finally, step S427 may be performed to obtain a concentration range and a concentration center of the personnel in the management area in each period.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
Necessary libraries are imported/imported
#include <iostream>
#include <vector>
#include <map>
It is/assumed that we have a Location class
#include "Location.h"
Establishing a list of historical locations
std::vector<Location> historicalLocations;
Establishing a centralized hub list
std::vector<Location> focusCenters;
Establishing centralized packets
std::map<int, std::vector<Location>> focusGroups;
Acquiring all historical positions of personnel in the management area according to the position distribution of the personnel in the management area
void getHistoricalLocations() {
Obtaining all historic locations from personnel location distribution
}
Selecting a plurality of positions as a centralized center in a management area
void selectFocusCenters() {
Selecting a centralized center within a management area
}
Distance of the center of concentration from each historic location
double getDistanceBetweenLocations(Location l1, Location l2) {
Calculating the distance between two locations
return 0.0;
}
Record history position and nearest centralized center into same centralized group
void assignLocationsToFocusGroups() {
for (auto &location : historicalLocations) {
int nearestFocusCenterIndex = 0;
double nearestDistance = getDistanceBetweenLocations(location, focusCenters[0]);
for (int i = 1; i < focusCenters.size(); i++) {
double distance = getDistanceBetweenLocations(location, focusCenters[i]);
if (distance < nearestDistance) {
nearestDistance = distance;
nearestFocusCenterIndex = i;
}
}
focusGroups[nearestFocusCenterIndex].push_back(location);
}
}
Obtaining a concentrated range from the distribution range of the history positions in each concentrated group
void getFocusRanges() {
for (auto &focusGroup : focusGroups) {
Calculating a concentration range for each concentration group
}
}
The geometrical center of the concentration range is used as the updated concentration center
void updateFocusCenters() {
for (auto &focusGroup : focusGroups) {
Calculating a geometric center of the concentration range and updating the concentration center
}
}
Obtaining concentration ranges and concentration centers of personnel in management areas in each period
void getFocusRangesAndCenters() {
Obtaining a concentration range and a concentration center within each period
}
Referring to fig. 6, in order to make the obtained centralized range cover as many history positions as possible, step S425 may be implemented by first performing step S4251 to obtain the geometric center of the distribution range of the history positions in each centralized group as the updated centralized center. Step S4252 may be performed to determine whether the updated concentration center changes or whether the change distance is smaller than the set value. If so, step S4253 may be performed to obtain a distance between the updated hub and each of the history positions, step S4254 may be performed to update the hub group according to the distance between the updated hub and each of the history positions, and step S4255 may be performed to update the updated hub according to the updated hub group. If not, step S4256 may be executed finally to take the distribution range of the history positions in each centralized group as a centralized range.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
Necessary libraries are imported/imported
#include <iostream>
#include <vector>
#include <map>
It is/assumed that we have a Location class
#include "Location.h"
Setting threshold value
const double THRESHOLD = 0.01;
Establishing a list of historical locations
std::vector<Location> historicalLocations;
Establishing a centralized hub list
std::vector<Location> focusCenters;
Establishing centralized packets
std::map<int, std::vector<Location>> focusGroups;
Distance of the center of concentration from each historic location
double getDistanceBetweenLocations(Location l1, Location l2) {
Calculating the distance between two locations
return 0.0;
}
Obtaining geometrical centers of distribution ranges of historical locations within each centralized grouping as updated centralized centers
void updateFocusCenters() {
for (auto &focusGroup : focusGroups) {
Calculating a geometric center of the concentration range and updating the concentration center
}
}
Determining whether the updated concentration center changes or the change distance is smaller than the set value
bool checkFocusCentersChange() {
for (int i = 0; i < focusCenters.size(); i++) {
Checking whether the center of concentration has changed or whether the distance of change is less than a set point
}
return false;
}
Update hub grouping based on updated hub distance from each historical location
void updateFocusGroups() {
for (auto &location : historicalLocations) {
int nearestFocusCenterIndex = 0;
double nearestDistance = getDistanceBetweenLocations(location, focusCenters[0]);
for (int i = 1; i < focusCenters.size(); i++) {
double distance = getDistanceBetweenLocations(location, focusCenters[i]);
if (distance < nearestDistance) {
nearestDistance = distance;
nearestFocusCenterIndex = i;
}
}
focusGroups[nearestFocusCenterIndex].push_back(location);
}
}
The distribution range of the history positions in each concentrated group is regarded as the concentrated range
void getFocusRanges() {
for (auto &focusGroup : focusGroups) {
Calculating a concentration range for each concentration group
}
}
Obtaining a concentrated range from the distribution range of the history positions in each concentrated group
void getFocusRangeBasedOnDistribution() {
while (checkFocusCentersChange()) {
updateFocusGroups();
updateFocusCenters();
}
getFocusRanges();
}
Referring to fig. 7, since a single centralized range may be covered by the identification rf signal transmitted by the same rf transmitting unit, the centralized ranges may be combined. In view of this, in each period of the working day, step S43 may be performed to obtain the effective distance between the identification rf signal and the identity feedback signal in the implementation process. Step S432 may then be performed to determine whether the radius of the circular envelope of the adjacent plurality of concentrated ranges is less than the effective distance. If so, step S433 may be performed to combine the adjacent concentrated ranges to obtain a combined concentrated range. If not, step S434 may be performed next without merging. Step S435 may be performed next to take the integrated range after and/or without the integration as an integrated range. Finally, step S436 may be performed to obtain a corresponding integrated center according to the distribution of the centers in the integrated center range.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
Necessary libraries are imported/imported
#include <iostream>
#include <vector>
#include <map>
It is assumed that we have a Location class and a Range class
#include "Location.h"
#include "Range.h"
Effective distance
const double EFFECTIVE_DISTANCE = 10.0;
Establishing a centralized hub list
std::vector<Location> focusCenters;
Establishing a centralized scope list
std::vector<Range> focusRanges;
Obtaining/identifying effective distance of radio frequency signal and identity feedback signal
double getEffectiveDistance() {
Obtain effective distance
return EFFECTIVE_DISTANCE;
}
Determining whether the radius of the circular envelope of adjacent concentrated ranges is less than the effective distance
bool checkAdjacentFocusRanges() {
for (int i = 0; i < focusRanges.size()-1; i++) {
Determining whether the radius of the circular envelope of the adjacent concentrated ranges is less than the effective distance
}
return false;
}
Merging a plurality of adjacent concentrated ranges to obtain a merged concentrated range
void mergeAdjacentFocusRanges() {
for (int i = 0; i < focusRanges.size()-1; i++) {
if (checkAdjacentFocusRanges()) {
Merging is performed
}
}
}
Obtaining corresponding comprehensive centralized center according to the distribution of centralized centers in the comprehensive centralized range
void getComprehensiveFocusCenter() {
Calculating a comprehensive concentration center from the distribution of concentration centers within the comprehensive concentration range
}
Obtaining the comprehensive centralized range and the comprehensive centralized center of the personnel in the management area in each period of the workday according to the centralized range and the centralized center of the personnel in the management area in each period of the workday
void getComprehensiveFocusRangeAndCenter() {
double effectiveDistance = getEffectiveDistance();
for (int i = 0; i < focusRanges.size()-1; i++) {
if (checkAdjacentFocusRanges()) {
mergeAdjacentFocusRanges();
}
}
getComprehensiveFocusCenter();
}
Referring to fig. 8, for the combined multiple concentration ranges, a concentration center for comprehensive consideration, that is, a comprehensive concentration center, needs to be calculated. In view of this, step S436 may be performed first to determine whether the integrated concentration range is obtained by combining a plurality of concentration ranges in the implementation process. If so, step S4362 may be performed to obtain a concentration center corresponding to the plurality of concentration ranges to be combined. Step S4363 may then be performed to obtain a scaling factor between the number of historical locations in each collection range. Step S4364 may be performed next with the proportionality coefficient between the numbers of history positions in each of the concentrated ranges as the weighted position center of the concentrated center corresponding to the concentrated ranges combined as the corresponding integrated concentrated center. If not, step S4365 may be executed to use the center in the integrated center range where the combination is not performed as the corresponding integrated center.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
It is assumed that we have a FocusRange class that contains a count of a center location and a history location
#include "FocusRange.h"
Establishing a comprehensive centralized scope list
std::vector<FocusRange> comprehensiveFocusRanges;
Obtaining/obtaining a scaling factor between the number of historic locations in each concentration range
std::vector<double> getRatioCoefficients() {
std::vector<double> ratioCoefficients;
Calculating the total number of all historic locations
int total = 0;
for (auto& range : comprehensiveFocusRanges) {
total += range.getHistoryCount();
}
Calculating the scaling factor for each range
for (auto& range : comprehensiveFocusRanges) {
ratioCoefficients.push_back((double)range.getHistoryCount() / total);
}
return ratioCoefficients;
}
Calculating weighted position centers of concentration centers corresponding to the multiple concentration ranges
Location calculateWeightedCenter(const std::vector<double>& ratioCoefficients) {
Location weightedCenter(0, 0);
for (int i = 0; i < comprehensiveFocusRanges.size(); i++) {
Weight calculation
weightedCenter += comprehensiveFocusRanges[i].getCenter() * ratioCoefficients[i];
}
return weightedCenter;
}
Determining whether the integrated concentration range is obtained by combining multiple concentration ranges
bool isMerged() {
It is assumed that this is a judging method
Return if merge is done
return false;
}
Obtaining corresponding comprehensive centralized center according to the distribution of centralized centers in the comprehensive centralized range
Location getComprehensiveFocusCenter() {
if (isMerged()) {
std::vector<double> ratioCoefficients = getRatioCoefficients();
return calculateWeightedCenter(ratioCoefficients);
} else {
If not, the method returns to the center of the comprehensive centralized range
return comprehensiveFocusRanges[0].getCenter();
}
}
Referring to fig. 9, since the number of attendance machines transmitting the identification rf signals is limited, in order to cover the personnel in the management area as much as possible, step S44 may be performed to obtain the total number of the set identity monitoring points in step S441. Step S442 may be performed next to obtain an elapsed time period for each integrated center based on the integrated concentration ranges and integrated centers of the personnel within the management area in each period of the workday. And finally, step S443 can be executed, wherein the same number of the identity monitoring points as the set total number of the identity monitoring points is selected as the identity monitoring points according to the sequence of the duration of each comprehensive centralized center from large to small.
To supplement the above flow, source code for part of the functional units is provided and explained in the annotation section.
#include <vector>
#include <algorithm>
#include "FocusRange.h"
It is assumed that we already have a set of FocusRange
std::vector<FocusRange> comprehensiveFocusRanges;
Obtaining the total amount of the set identity monitoring points
const int totalIdentityCheckpoints = 5;
The duration of each comprehensive centralized center is from big to small
bool compareDuration(const FocusRange& a, const FocusRange& b) {
return a.getDuration() > b.getDuration();
}
std::vector<FocusRange> getIdentityCheckpoints() {
First, the comprehensive centralized range is ordered according to the duration of the history
std::sort(comprehensiveFocusRanges.begin(), comprehensiveFocusRanges.end(), compareDuration);
Selecting the same number as the set identity monitoring points as the identity monitoring points
std::vector<FocusRange> identityCheckpoints;
for (int i = 0; i < totalIdentityCheckpoints && i < comprehensiveFocusRanges.size(); i++) {
identityCheckpoints.push_back(comprehensiveFocusRanges[i]);
}
return identityCheckpoints;
}
In summary, the identity monitoring points of the staff are planned, so that the accuracy and the comprehensiveness of the identity identification of the staff are improved, and on-duty state monitoring is realized. The system comprises a management end and a mobile end. The management end transmits an unoriented positioning radio frequency signal, and the mobile end transmits the positioning radio frequency signal and a feedback signal. The management end continuously receives the feedback signal, analyzes and acquires the position and the identity of the personnel, and sends and identifies the radio frequency signal at the identity monitoring point. The mobile terminal receives the identification radio frequency signal and modulates the identity information to be sent as a feedback signal. The management end continuously receives the feedback signal and acquires the position and the identity of the personnel. The system utilizes the position and the identity to carry out on-duty management, improves the recognition accuracy and the monitoring comprehensiveness, and provides effective management and monitoring for the labor staff.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by hardware, such as circuits or ASICs (application specific integrated circuits, application Specific Integrated Circuit), which perform the corresponding functions or acts, or combinations of hardware and software, such as firmware, etc.
Although the application is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
The foregoing description of embodiments of the application has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (8)
1. A method for detecting open construction environment personnel is characterized by comprising the following steps of,
continuously transmitting an unoriented positioning radio frequency signal to a management area;
continuously receiving a positioning feedback signal of the positioning radio frequency signal;
continuously acquiring the position of the personnel in the management area according to the received positioning feedback signal;
obtaining identity monitoring points according to the continuously obtained position analysis of the personnel in the management area;
transmitting an identification radio frequency signal at the identity monitoring point;
continuously receiving an identity feedback signal of the identification radio frequency signal;
obtaining the position and the identity of the personnel in the management area according to the received identity feedback signal;
wherein the step of continuously acquiring the position of the person in the management area according to the received positioning feedback signal comprises the steps of,
obtaining the position distribution of the personnel in the management area in a plurality of adjacent moments according to the positioning feedback signals received for a plurality of times;
numbering the positions of the personnel in the management area in a plurality of adjacent moments according to the carrier information and/or the signal characteristics of the positioning feedback signals;
numbering according to the positions of the personnel in the management area in a plurality of moments to obtain the positions of the same personnel in a plurality of adjacent moments;
obtaining the moving speed of the personnel according to the positions of the same personnel at a plurality of adjacent moments;
removing the moving speed of the personnel exceeding the set speed to obtain the positions of the personnel in the management area;
wherein the step of obtaining the identity monitoring point according to the continuously acquired position analysis of the personnel in the management area comprises the steps of,
obtaining the position distribution of the personnel in the management area in each period of working days according to the continuously acquired positions of the personnel in the management area;
obtaining a concentration range and a concentration center of the personnel in the management area in each time period of the workday according to the position distribution of the personnel in the management area in each time period of the workday;
obtaining a comprehensive centralized range and a comprehensive centralized center of the personnel in the management area in each time period of the workday according to the centralized range and the centralized center of the personnel in the management area in each time period of the workday;
and obtaining the identity monitoring points according to the comprehensive centralized range and the comprehensive centralized center of the personnel in the management area in each period of the working day.
2. The method of claim 1, wherein the step of obtaining the concentration ranges and the concentration centers of the people in the management area in each time period of the workday from the position distribution of the people in the management area in each time period of the workday comprises,
in the course of each time period of time,
acquiring all historical positions of the personnel in the management area according to the position distribution of the personnel in the management area;
selecting a plurality of positions as a centralized center in the management area;
acquiring the distance between the concentration center and each historical position;
the history position and the concentration center closest to the history position are organized into the same concentration group;
obtaining a centralized range according to the distribution range of the historical positions in each centralized group;
taking the geometric center of the concentrated range as the updated concentrated center;
and obtaining the concentration range and the concentration center of the personnel in the management area in each time period.
3. The method of claim 2, wherein the step of deriving a centralized range from the distribution range of the historical locations within each centralized grouping comprises,
acquiring a geometric center of a distribution range of the historical positions in each centralized group as an updated centralized center;
judging whether the updated concentration center changes or whether the change distance is smaller than a set value;
if so, acquiring the distance between the updated centralized center and each historical position,
updating the centralized grouping according to the distance between the updated centralized center and each historical position;
obtaining an updated centralized center according to the updated centralized grouping update;
if not, the distribution range of the history positions in each concentrated group is taken as a concentrated range.
4. The method of claim 1, wherein the step of obtaining the integrated centralized area and the integrated centralized center of the person in the management area for each time period of the workday from the centralized area and the centralized center of the person in the management area for each time period of the workday comprises,
acquiring the effective distance between the identification radio frequency signal and the identity feedback signal;
during each period of the working day,
judging whether the radius of the circular envelope curves of the adjacent multiple concentrated ranges is smaller than the effective distance;
if yes, combining a plurality of adjacent concentrated ranges to obtain a combined concentrated range;
if not, not combining;
taking the integrated range after combination and/or without combination as the comprehensive integrated range;
and obtaining the corresponding comprehensive centralized center according to the distribution of the centralized centers in the comprehensive centralized range.
5. The method of claim 4, wherein said step of deriving said corresponding integrated hub from a distribution of said hub within said integrated hub comprises,
judging whether the comprehensive centralized range is obtained by combining a plurality of centralized ranges or not;
if so, acquiring the centralization center corresponding to the centralization ranges to be merged,
acquiring a proportionality coefficient among the number of historical positions in each centralization range;
taking a proportionality coefficient among the numbers of the historical positions in each centralized range as a weight to calculate a weighted position center of the centralized center corresponding to the plurality of centralized ranges which are combined as the corresponding comprehensive centralized center;
and if not, taking the concentration center in the comprehensive concentration range which is not combined as the corresponding comprehensive concentration center.
6. The method of claim 1, wherein the step of obtaining the identity monitoring point from a comprehensive centralized scope and a comprehensive centralized center of the personnel in the management area during each period of the workday comprises,
acquiring the total amount of the set identity monitoring points;
obtaining the duration of each comprehensive centralized center according to the comprehensive centralized range and the comprehensive centralized center of the personnel in the management area in each period of the working day;
and selecting the same number as the set total number of the identity monitoring points as the identity monitoring points according to the sequence of the duration of each comprehensive centralized center from large to small.
7. A method for detecting open construction environment personnel is characterized by comprising the following steps of,
receiving and transmitting a positioning radio frequency signal and a positioning feedback signal in the open construction environment personnel detection method according to any one of claims 1 to 6, respectively;
receiving an identification radio frequency signal in the open construction environment personnel detection method of any one of claims 1 to 6;
modulating the identity information carrier wave into an identity feedback signal in the open construction environment personnel detection method according to any one of claims 1 to 6;
and sending the identity feedback signal.
8. An on-duty management system for a labor worker, comprising,
the management end is used for continuously transmitting the non-directional positioning radio frequency signals to the management area;
the mobile terminal is used for respectively receiving and transmitting a positioning radio frequency signal and a positioning feedback signal;
the management end is further used for continuously receiving a positioning feedback signal of the positioning radio frequency signal;
continuously acquiring the position of the personnel in the management area according to the received positioning feedback signal;
obtaining identity monitoring points according to the continuously obtained position analysis of the personnel in the management area;
transmitting an identification radio frequency signal at the identity monitoring point;
the mobile terminal is further configured to receive the identification radio frequency signal;
modulating the identity information carrier wave into an identity feedback signal;
transmitting the identity feedback signal;
the management end is also used for continuously receiving the identity feedback signal of the identification radio frequency signal;
obtaining the position and the identity of the personnel in the management area according to the received identity feedback signal;
performing personnel on-duty management according to the positions and the identities of the personnel in the management area;
wherein the step of continuously acquiring the position of the person in the management area according to the received positioning feedback signal comprises the steps of,
obtaining the position distribution of the personnel in the management area in a plurality of adjacent moments according to the positioning feedback signals received for a plurality of times;
numbering the positions of the personnel in the management area in a plurality of adjacent moments according to the carrier information and/or the signal characteristics of the positioning feedback signals;
numbering according to the positions of the personnel in the management area in a plurality of moments to obtain the positions of the same personnel in a plurality of adjacent moments;
obtaining the moving speed of the personnel according to the positions of the same personnel at a plurality of adjacent moments;
removing the moving speed of the personnel exceeding the set speed to obtain the positions of the personnel in the management area;
wherein the step of obtaining the identity monitoring point according to the continuously acquired position analysis of the personnel in the management area comprises the steps of,
obtaining the position distribution of the personnel in the management area in each period of working days according to the continuously acquired positions of the personnel in the management area;
obtaining a concentration range and a concentration center of the personnel in the management area in each time period of the workday according to the position distribution of the personnel in the management area in each time period of the workday;
obtaining a comprehensive centralized range and a comprehensive centralized center of the personnel in the management area in each time period of the workday according to the centralized range and the centralized center of the personnel in the management area in each time period of the workday;
and obtaining the identity monitoring points according to the comprehensive centralized range and the comprehensive centralized center of the personnel in the management area in each period of the working day.
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