CN107690062A - A kind of construction safety monitoring system based on Internet of Things - Google Patents
A kind of construction safety monitoring system based on Internet of Things Download PDFInfo
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- CN107690062A CN107690062A CN201710830922.9A CN201710830922A CN107690062A CN 107690062 A CN107690062 A CN 107690062A CN 201710830922 A CN201710830922 A CN 201710830922A CN 107690062 A CN107690062 A CN 107690062A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 47
- 238000010276 construction Methods 0.000 title claims abstract description 20
- 238000001514 detection method Methods 0.000 claims abstract description 24
- 238000004891 communication Methods 0.000 claims abstract description 21
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- 238000004364 calculation method Methods 0.000 claims description 6
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- 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
- G06Q50/08—Construction
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/467—Encoded features or binary features, e.g. local binary patterns [LBP]
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Abstract
The invention belongs to monitoring system technical field, discloses a kind of construction safety monitoring system based on Internet of Things, and monitoring unmanned module, human life feature detection module, locating module connect data acquisition module by circuit line respectively；Data acquisition module connects main control module by circuit line；Main control module connects alarm module, wireless communication module by circuit line；Alarm module connects wireless communication module by circuit line.The present invention can be carried out flexibly to building site global monitoring by monitoring unmanned module, human life information can be obtained by human life feature detection module, the particular location of worker can be obtained by locating module, rescuer is facilitated quickly to be rescued in time if there is accident, the location algorithm of use can greatly improve the accuracy of location data.
Description
Technical field
The invention belongs to monitoring system technical field, more particularly to a kind of construction safety monitoring based on Internet of Things
System.
Background technology
It is more and more stricter to the site construction management of building with the continuous development of building trade, especially make to prevent
The generation of construction accident, the management to site operation is particularly important, in order to improve the management of efficiency of construction and personnel, it is necessary to one
The real-time monitoring system of kind construction site.However, existing construction monitoring carries out video monitoring by fixing camera, depending on
Frequency monitors dumb, it is impossible to which the whole building overall situation is monitored；If building collapse can not determine worker position and work in time
The life state information of people, cause search and rescue efficiency low.
In summary, the problem of prior art is present be：Existing construction monitoring carries out video prison by fixing camera
Control, video monitoring are dumb, it is impossible to which the whole building overall situation is monitored；If building collapse can not determine worker position in time
The life state information with worker is put, causes search and rescue efficiency low.
The content of the invention
The problem of existing for prior art, the invention provides a kind of construction safety monitoring based on Internet of Things
System.
The present invention is achieved in that a kind of construction safety monitoring system based on Internet of Things, described to be based on Internet of Things
The construction safety monitoring system of net includes：
Monitoring unmanned module, is connected with data acquisition module, for by unmanned plane regard job site
Frequency monitors；The method of the monitoring unmanned module collection video image includes：
Extract color characteristic and adaptive LBP operator feature；
Build multiple features bottom order matrix table representation model；
s.t.Xi=XiAi+Ei, i=1 ..., K
Wherein α is greater than 0 coefficient,For measuring the error that noise and wild point are brought；
It is equivalent to drag：
To model decomposition and solution, submodel is obtained；
Export pseudo- video area and obtain accurate video area to the end；Including：Stayed according to video area size, ratio
The lower pseudo- video external matrix per sub-spaces；
One hopping function f (i, j) is set, pseudo- video area is accurately positioned, determines the upper following of video area
Boundary：
Wherein c (i, j) is
C (i, j)=LBP8,1(i,j)-LBP8,1(i,j-1)
I=1 in upper two formula, 2,3,4 ... N, j=2,3,4 ... M, therefore any a line i transition times and S (i) are：
If any a line transition times are possible to belong to video area with S (i >=12), this line；By up to
Under entire image is scanned, find out all line number i for meeting the row of S (i >=12), and recording this line；If even
Continuous h rows meet S (i >=12), and it is M, the highly rectangular area for h to obtain a width, and this region is video area, depending on
The region without this feature excludes in frequency image；
Video correction, the image after output positioning；
Extraction adaptive LBP operator characteristics algorithm comprises the following steps that：
(1) image of input system is converted into gray level image, image { grayv (i, j) } grey scale pixel value is summed,
Average value is obtained again：
(2) background is removed using total textural characteristics, calculates the grey scale pixel value of image and the difference of mean pixel gray value
The absolute value sum of value, is averaged：
Background is removed using Local textural feature, with the sliding window of 3 × 3 sizes, traversing graph picture, asks for center pixel
The difference of gray value and neighboring pixel gray value, the averaged in each video in window：
(3) according to experimental data, the method for the Fitting Calculation adaptive threshold：
Human life feature detection module, is connected with data acquisition module, for being obtained by vital signs detection chip
Human life information's data；
Locating module, it is connected with data acquisition module, for obtaining location information by positioning chip；It is described fixed
Position module location algorithm be：
uuxIt is the detected value of linear position x-axis in user's reference frame；
uuyIt is the detected value of linear position y-axis in user's reference frame；
uuzIt is the detected value of linear position z-axis in user's reference frame；
uxo xIt is the detected value of host system x-axis in user's reference frame；
uxo yBe along user's reference frame in y-axis host system y-axis detected value；
uxo zBe along user's reference frame in z-axis host system z-axis detected value；
P0 is the 2D vector values of display coordinate origin in cursor coordinates；
Data acquisition module, with monitoring unmanned module, human life feature detection module, locating module, main control module
Connection, for the analog electric signal of monitoring unmanned module and the acquisition of human life feature detection module to be converted into numeral
Signal is measured, and is sent to main control module；The data acquisition module is by built-in awareness apparatus within the independent sampling period
Echo signal x (t) is acquired, and digital quantization is carried out to signal with A/D modes；Then, to the signal x (i) after quantization
Carry out dimensionality reduction；Finally, the signal after dimensionality reduction is reconstructed；Wherein t is sampling instant, and i is the signal sequence after quantifying；
Signal after described pair of quantization carries out dimensionality reduction, including passes through finite impulse response filter to the signal after quantization
Difference equationWherein h (0) ..., h (L-1) are filter coefficient, design
Compressed sensing signal acquisition framework based on filtering, constructs following Teoplitz calculation matrix：
Then observeWherein b1,…,bLRegard filter coefficient as；Sub- square
Battle array ΦFTSingular value be gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value, checking G's (Φ F, T) is all
Eigenvalue λ i ∈ (1- δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and pass through solutionOptimize
Problem reconstructs original signal；Original signal, that is, BP algorithm are reconstructed by linear programming method；To compression of images signal
Collection, then change ΦFFor following form：
If signal conversion basic matrix Ψ on have it is openness, pass through solutionOptimization problem, Accurate Reconstruction go out original signal；Wherein Φ is uncorrelated to Ψ, and Ξ claims
For CS matrixes；
Main control module, it is connected with data acquisition module, alarm module, wireless communication module, for by data acquisition module
The live video data of block collection, worker's life detection data and worker's particular location data are analyzed, and abnormal conditions occur
Shi Liyong alarm modules start warning device, and related data information is sent to wireless communication module；
Alarm module, it is connected with main control module, wireless communication module, the exception analyzed for receiving main control module
Signal, and start relative alarm device in time, while alarm signal is sent to wireless communication module.
Wireless communication module, it is connected with main control module, alarm module, connects for long distance wireless and obtained from main control module
Enchashment field monitoring data, and the alarm signal that alarm module is sent is transmitted in time.
Further, the method that the main control module is analyzed data includes：
Receive and safeguard more new command；
Subscriber identity information is obtained according to the maintenance more new command and needs to safeguard the dimension table of the dimension table of renewal
Information；
The dimension table configuration information pre-set according to the dimension table acquisition of information；Wherein, the dimension table matches somebody with somebody confidence
In breath synchronous purpose data are needed with the source database for needing to safeguard where the dimension table of renewal, the dimension table
Storehouse and dimension table operating right information；
According to the subscriber identity information and the dimension table operating right information, the subscriber identity information is judged
Whether the dimension table operating right information is met；
If the subscriber identity information meets the dimension table operating right information, to the dimension for needing to safeguard renewal
Degree table is updated operation；
The dimension table being updated after operating is synchronized to the purpose database.
Further, the dimension table operating right information includes：User Identity with dimension table operating right；
It is described to judge whether the subscriber identity information meets the dimension table operating right information, including：
Judge the subscriber identity information whether described with the User Identity of dimension table operating right.
Further, the maintenance more new command is increase content instruction, changes content instruction or delete content instruction；
Before operation is updated to the dimension table for needing maintenance to update, including：
According to the maintenance more new command, it is determined that needing to safeguard the field of renewal, and get the needs and safeguard renewal
Field field identification；
The field configuration information pre-set is got according to the field identification and the dimension table configuration information；
Wherein, the field configuration information includes field contents ordering rule, field ordering information, field the limitation bar of the field
Part.
Further, it is described to the dimension for needing to safeguard renewal if the maintenance more new command is increase content instruction
Table is updated operation, including：
Obtain batch data content corresponding to the increase content instruction；
According to the batch data content, increase field contents in one or more of dimension table field；
According to the field contents ordering rule, the field contents are ranked up；
According to the field ordering information, each field in dimension table is ranked up；
If the maintenance more new command is change content instruction, the dimension table for needing to safeguard renewal is updated
Operation, including：
Obtain batch data content corresponding to the change content instruction；
According to the batch data content, field contents are changed in one or more of dimension table field；
If the maintenance more new command to delete content instruction, is updated to the dimension table for needing to safeguard renewal
Operation, including：
Field contents are deleted in one or more of dimension table field.
Further, operation is updated to the dimension table for needing to safeguard renewal, in addition to：
Judge whether each field after the increase field contents, change field contents or deletion field contents is full
The foot field restrictive condition；
If there is field to be unsatisfactory for the field restrictive condition, prompt message is generated；The prompt message is used to prompt to be discontented with
The Field Count of the foot field restrictive condition, and prompt to be unsatisfactory for the field relevant information of the field restrictive condition；The word
Section relevant information includes the field identification or field name of the field.
Advantages of the present invention and good effect are：The present invention can be carried out flexibly to building by monitoring unmanned module
Live global monitoring is built, human life information can be obtained by human life feature detection module, can be with by locating module
The particular location of worker is obtained, facilitates rescuer quickly to be rescued in time if there is accident, the location algorithm of use can
To greatly improve the accuracy of location data.
The video image acquisition methods of the monitoring unmanned module of the present invention can more effectively improve the standard of vedio data
True property, reduces the interference of error image.Its collection is accurate compared to prior art for the data acquisition module data mining method of the present invention
True rate improves nearly 5 percentage points, ensure that actual application.And the method for the main control module of the present invention has good control
Performance processed, there is good effect in the robustness of computing.
Brief description of the drawings
Fig. 1 is the construction safety monitoring system structural representation provided in an embodiment of the present invention based on Internet of Things；
In figure：1st, monitoring unmanned module；2nd, human life feature detection module；3rd, locating module；4th, data acquisition module
Block；5th, main control module；6th, alarm module；7th, wireless communication module.
Embodiment
In order to further understand the content, features and effects of the present invention, hereby enumerating following examples, and coordinate attached
Figure describes in detail as follows.
The application principle of the present invention is further described below in conjunction with the accompanying drawings.
As shown in figure 1, the construction safety monitoring system provided in an embodiment of the present invention based on Internet of Things includes：
Monitoring unmanned module 1, human life feature detection module 2, locating module 3, data acquisition module 4, master control mould
Block 5, alarm module 6, wireless communication module 7；
Monitoring unmanned module 1, it is connected with data acquisition module 4, for by unmanned plane carry out job site
Video monitoring；
The method of the monitoring unmanned module collection video image includes：
Extract color characteristic and adaptive LBP operator feature；
Build multiple features bottom order matrix table representation model；
s.t.Xi=XiAi+Ei, i=1 ..., K
Wherein α is greater than 0 coefficient,For measuring the error that noise and wild point are brought；
It is equivalent to drag：
To model decomposition and solution, submodel is obtained；
Export pseudo- video area and obtain accurate video area to the end；Including：Stayed according to video area size, ratio
The lower pseudo- video external matrix per sub-spaces；
One hopping function f (i, j) is set, pseudo- video area is accurately positioned, determines the upper following of video area
Boundary：
Wherein c (i, j) is
C (i, j)=LBP8,1(i,j)-LBP8,1(i,j-1)
I=1 in upper two formula, 2,3,4 ... N, j=2,3,4 ... M, therefore any a line i transition times and S (i) are：
If any a line transition times are possible to belong to video area with S (i >=12), this line；By up to
Under entire image is scanned, find out all line number i for meeting the row of S (i >=12), and recording this line；If even
Continuous h rows meet S (i >=12), and it is M, the highly rectangular area for h to obtain a width, and this region is video area, depending on
The region without this feature excludes in frequency image；
Video correction, the image after output positioning；
Extraction adaptive LBP operator characteristics algorithm comprises the following steps that：
(1) image of input system is converted into gray level image, image { grayv (i, j) } grey scale pixel value is summed,
Average value is obtained again：
(2) background is removed using total textural characteristics, calculates the grey scale pixel value of image and the difference of mean pixel gray value
The absolute value sum of value, is averaged：
Background is removed using Local textural feature, with the sliding window of 3 × 3 sizes, traversing graph picture, asks for center pixel
The difference of gray value and neighboring pixel gray value, the averaged in each video in window：
(3) according to experimental data, the method for the Fitting Calculation adaptive threshold：
Human life feature detection module, is connected with data acquisition module, for being obtained by vital signs detection chip
Human life information's data；
Human life feature detection module 2, it is connected with data acquisition module 4, for passing through the life with human body
Order infomation detection chip and obtain human life information's data；
Locating module 3, it is connected with data acquisition module 4, for obtaining work by the positioning chip with worker
The positional information of people；
Data acquisition module 4, with monitoring unmanned module 1, human life feature detection module 2, locating module 3, master control
Module 5 connects, for the analog electric signal of monitoring unmanned module and the acquisition of human life feature detection module to be converted to
Digital quantity signal, and it is sent to main control module；
The data acquisition module is entered by built-in awareness apparatus within the independent sampling period to echo signal x (t)
Row collection, and digital quantization is carried out to signal with A/D modes；Then, dimensionality reduction is carried out to the signal x (i) after quantization；Finally, it is right
Signal after dimensionality reduction is reconstructed；Wherein t is sampling instant, and i is the signal sequence after quantifying；
Signal after described pair of quantization carries out dimensionality reduction, including passes through finite impulse response filter to the signal after quantization
Difference equationWherein h (0) ..., h (L-1) are filter coefficient, design
Compressed sensing signal acquisition framework based on filtering, constructs following Teoplitz calculation matrix：
Then observeWherein b1,…,bLRegard filter coefficient as；Sub- square
Battle array ΦFTSingular value be gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value, checking G's (Φ F, T) is all
Eigenvalue λ i ∈ (1- δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and pass through solutionOptimize
Problem reconstructs original signal；Original signal, that is, BP algorithm are reconstructed by linear programming method；To compression of images signal
Collection, then change ΦFFor following form：
If signal conversion basic matrix Ψ on have it is openness, pass through solutionOptimization problem, Accurate Reconstruction go out original signal；Wherein Φ is uncorrelated to Ψ, and Ξ claims
For CS matrixes；
Main control module 5, it is connected with data acquisition module 4, alarm module 6, wireless communication module 7, for data to be adopted
Collect the live video data of module collection, worker's life detection data and worker's particular location data are analyzed, and are occurred abnormal
Start warning device using alarm module during situation, and related data information is sent to wireless communication module；
Alarm module 6, be connected with main control module 5, wireless communication module 7, for receive main control module analyze it is different
Regular signal, and start relative alarm device in time, while alarm signal is sent to wireless communication module.
Wireless communication module 7, it is connected, is connected for long distance wireless and from master control with main control module 5, alarm module 6
Module obtains on-site supervision data, and transmits the alarm signal that alarm module is sent in time.
The location algorithm of locating module 6 provided in an embodiment of the present invention is defined as：
uuxIt is the detected value of linear position x-axis in user's reference frame；
uuyIt is the detected value of linear position y-axis in user's reference frame；
uuzIt is the detected value of linear position z-axis in user's reference frame；
uxo xIt is the detected value of host system x-axis in user's reference frame；
uxo yBe along user's reference frame in y-axis host system y-axis detected value；
uxo zBe along user's reference frame in z-axis host system z-axis detected value；
P0 is the 2D vector values of display coordinate origin in cursor coordinates.
The method that the main control module is analyzed data includes：
Receive and safeguard more new command；
Subscriber identity information is obtained according to the maintenance more new command and needs to safeguard the dimension table of the dimension table of renewal
Information；
The dimension table configuration information pre-set according to the dimension table acquisition of information；Wherein, the dimension table matches somebody with somebody confidence
In breath synchronous purpose data are needed with the source database for needing to safeguard where the dimension table of renewal, the dimension table
Storehouse and dimension table operating right information；
According to the subscriber identity information and the dimension table operating right information, the subscriber identity information is judged
Whether the dimension table operating right information is met；
If the subscriber identity information meets the dimension table operating right information, to the dimension for needing to safeguard renewal
Degree table is updated operation；
The dimension table being updated after operating is synchronized to the purpose database.
The dimension table operating right information includes：User Identity with dimension table operating right；
It is described to judge whether the subscriber identity information meets the dimension table operating right information, including：
Judge the subscriber identity information whether described with the User Identity of dimension table operating right.
The maintenance more new command is increase content instruction, changes content instruction or delete content instruction；
Before operation is updated to the dimension table for needing maintenance to update, including：
According to the maintenance more new command, it is determined that needing to safeguard the field of renewal, and get the needs and safeguard renewal
Field field identification；
The field configuration information pre-set is got according to the field identification and the dimension table configuration information；
Wherein, the field configuration information includes field contents ordering rule, field ordering information, field the limitation bar of the field
Part.
It is described that the dimension table for needing to safeguard renewal is carried out if the maintenance more new command is increase content instruction
Renewal operation, including：
Obtain batch data content corresponding to the increase content instruction；
According to the batch data content, increase field contents in one or more of dimension table field；
According to the field contents ordering rule, the field contents are ranked up；
According to the field ordering information, each field in dimension table is ranked up；
If the maintenance more new command is change content instruction, the dimension table for needing to safeguard renewal is updated
Operation, including：
Obtain batch data content corresponding to the change content instruction；
According to the batch data content, field contents are changed in one or more of dimension table field；
If the maintenance more new command to delete content instruction, is updated to the dimension table for needing to safeguard renewal
Operation, including：
Field contents are deleted in one or more of dimension table field.
Operation is updated to the dimension table for needing to safeguard renewal, in addition to：
Judge whether each field after the increase field contents, change field contents or deletion field contents is full
The foot field restrictive condition；
If there is field to be unsatisfactory for the field restrictive condition, prompt message is generated；The prompt message is used to prompt to be discontented with
The Field Count of the foot field restrictive condition, and prompt to be unsatisfactory for the field relevant information of the field restrictive condition；The word
Section relevant information includes the field identification or field name of the field.
The structure of the present invention is further described with reference to operation principle.
The information data of collection is passed through number by monitoring unmanned module 1, human life detection module 2, locating module 3
Digital quantity signal is converted to according to acquisition module 4, and is sent to main control module 5；Main control module 5 gathers data acquisition module 4
Live video data, worker's life detection data and worker's particular location data pass through the wireless way for transmitting of wireless communication module 7
Go out；When main control module 5 analyzes data exception, abnormal signal is sent to alarm module 6, alarm module 6 starts alarm
Device, while alarm signal is sent to wireless communication module 7 and transmitted to terminal.
It is described above to be only the preferred embodiments of the present invention, any formal limitation not is made to the present invention,
Every technical spirit according to the present invention belongs to any simple modification made for any of the above embodiments, equivalent variations and modification
In the range of technical solution of the present invention.
Claims (6)
1. a kind of construction safety monitoring system based on Internet of Things, it is characterised in that the building based on Internet of Things is applied
Work safety monitoring system includes：
Monitoring unmanned module, is connected with data acquisition module, for carrying out carrying out video prison to job site by unmanned plane
Control；The method of the monitoring unmanned module collection video image includes：
Extract color characteristic and adaptive LBP operator feature；
Build multiple features bottom order matrix table representation model；
s.t. Xi=XiAi+Ei, i=1 ..., K
Wherein α is greater than 0 coefficient,For measuring the error that noise and wild point are brought；
It is equivalent to drag：
To model decomposition and solution, submodel is obtained；
Export pseudo- video area and obtain accurate video area to the end；Including：Left according to video area size, ratio each
The pseudo- video external matrix of subspace；
One hopping function f (i, j) is set, pseudo- video area is accurately positioned, determines the up-and-down boundary of video area：
Wherein c (i, j) is
C (i, j)=LBP8,1(i,j)-LBP8,1(i,j-1)
I=1 in upper two formula, 2,3,4 ... N, j=2,3,4 ... M, therefore any a line i transition times and S (i) are：
If any a line transition times are possible to belong to video area with S (i >=12), this line；It is right from top to bottom
Entire image is scanned, and finds out all line number i for meeting the row of S (i >=12), and recording this line；If continuous h
Row meets S (i >=12), and it is M, the highly rectangular area for h to obtain a width, and this region is video area, video image
In without this feature region exclude；
Video correction, the image after output positioning；
Extraction adaptive LBP operator characteristics algorithm comprises the following steps that：
(1) image of input system is converted into gray level image, image { grayv (i, j) } grey scale pixel value summed, then obtains
Average value：
(2) background is removed using total textural characteristics, calculates the grey scale pixel value of image and the difference of mean pixel gray value
Absolute value sum, is averaged：
Background is removed using Local textural feature, with the sliding window of 3 × 3 sizes, traversing graph picture, asks for center pixel gray value
And the difference of neighboring pixel gray value, the averaged in each video in window：
(3) according to experimental data, the method for the Fitting Calculation adaptive threshold：
Human life feature detection module, is connected with data acquisition module, for obtaining human body by vital signs detection chip
Life-information data；
Locating module, it is connected with data acquisition module, for obtaining location information by positioning chip；The locating module is determined
Position algorithm be：
uuxIt is the detected value of linear position x-axis in user's reference frame；
uuyIt is the detected value of linear position y-axis in user's reference frame；
uuzIt is the detected value of linear position z-axis in user's reference frame；
uxo xIt is the detected value of host system x-axis in user's reference frame；
uxo yBe along user's reference frame in y-axis host system y-axis detected value；
uxo zBe along user's reference frame in z-axis host system z-axis detected value；
P0 is the 2D vector values of display coordinate origin in cursor coordinates；
Data acquisition module, it is connected with monitoring unmanned module, human life feature detection module, locating module, main control module,
For the analog electric signal of monitoring unmanned module and the acquisition of human life feature detection module to be converted into digital quantity signal,
And it is sent to main control module；The data acquisition module is believed target by built-in awareness apparatus within the independent sampling period
Number x (t) is acquired, and carries out digital quantization to signal with A/D modes；Then, dimensionality reduction is carried out to the signal x (i) after quantization；
Finally, the signal after dimensionality reduction is reconstructed；Wherein t is sampling instant, and i is the signal sequence after quantifying；
Described pair quantify after signal carry out dimensionality reduction, including to difference that the signal after quantization passes through finite impulse response filter
EquationI=1 ..., M, wherein h (0) ..., h (L-1) are filter coefficient, are designed based on filtering
Compressed sensing signal acquisition framework, construct following Teoplitz calculation matrix：
Then observeI=1 ..., M, wherein b1,…,bLRegard filter coefficient as；Submatrix ΦFTIt is strange
Different value is gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value, checking G (Φ F, T) all eigenvalue λ i ∈
(1-δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and pass through solutionS.t.y=ΦxOptimization problem reconstructs
Original signal；Original signal, that is, BP algorithm are reconstructed by linear programming method；Collection to compression of images signal, then change
ΦFFor following form：
If signal conversion basic matrix Ψ on have it is openness, pass through solutionS.t.y=Φx=Φ Ψ α=Ξ α
Optimization problem, Accurate Reconstruction go out original signal；Wherein Φ is uncorrelated to Ψ, and Ξ is referred to as CS matrixes；
Main control module, it is connected with data acquisition module, alarm module, wireless communication module, for data acquisition module to be adopted
The live video data of collection, worker's life detection data and worker's particular location data are analyzed, and profit during abnormal conditions occur
Start warning device with alarm module, and related data information is sent to wireless communication module；
Alarm module, it is connected with main control module, wireless communication module, the abnormal signal analyzed for receiving main control module,
And start relative alarm device in time, while alarm signal is sent to wireless communication module.
Wireless communication module, it is connected with main control module, alarm module, is connected for long distance wireless and obtain scene from main control module
Monitoring data, and the alarm signal that alarm module is sent is transmitted in time.
2. the construction safety monitoring system based on Internet of Things as claimed in claim 1, it is characterised in that the main control module
The method analyzed data includes：
Receive and safeguard more new command；
Subscriber identity information is obtained according to the maintenance more new command and needs to safeguard the dimension table information of the dimension table of renewal；
The dimension table configuration information pre-set according to the dimension table acquisition of information；Wherein, in the dimension table configuration information
With the source database for needing to safeguard where the dimension table of renewal, the dimension table need synchronous purpose database and
Dimension table operating right information；
According to the subscriber identity information and the dimension table operating right information, judge whether the subscriber identity information is full
The foot dimension table operating right information；
If the subscriber identity information meets the dimension table operating right information, the dimension table for needing to safeguard renewal is entered
Row renewal operation；
The dimension table being updated after operating is synchronized to the purpose database.
3. the construction safety monitoring system based on Internet of Things as claimed in claim 2, it is characterised in that the dimension table behaviour
Include as authority information：User Identity with dimension table operating right；
It is described to judge whether the subscriber identity information meets the dimension table operating right information, including：
Judge the subscriber identity information whether described with the User Identity of dimension table operating right.
4. the construction safety monitoring system based on Internet of Things as claimed in claim 2, it is characterised in that described to safeguard renewal
Instruct as increase content instruction, change content instruction or delete content instruction；
Before operation is updated to the dimension table for needing maintenance to update, including：
According to the maintenance more new command, it is determined that needing to safeguard the field of renewal, and the word for needing to safeguard renewal is got
The field identification of section；
The field configuration information pre-set is got according to the field identification and the dimension table configuration information；Wherein,
The field configuration information includes field contents ordering rule, field ordering information, the field restrictive condition of the field.
5. the construction safety monitoring system based on Internet of Things as claimed in claim 2, it is characterised in that if the maintenance is more
New command is increase content instruction, described to be updated operation to the dimension table for needing to safeguard renewal, including：
Obtain batch data content corresponding to the increase content instruction；
According to the batch data content, increase field contents in one or more of dimension table field；
According to the field contents ordering rule, the field contents are ranked up；
According to the field ordering information, each field in dimension table is ranked up；
If the maintenance more new command is change content instruction, operation is updated to the dimension table for needing to safeguard renewal,
Including：
Obtain batch data content corresponding to the change content instruction；
According to the batch data content, field contents are changed in one or more of dimension table field；
If the maintenance more new command is updated operation to delete content instruction, to the dimension table for needing to safeguard renewal,
Including：
Field contents are deleted in one or more of dimension table field.
6. the construction safety monitoring system based on Internet of Things as claimed in claim 2, it is characterised in that need to tie up to described
The dimension table of shield renewal is updated operation, in addition to：
It is described to judge whether the increase field contents, change field contents or each field for deleting after field contents meet
Field restrictive condition；
If there is field to be unsatisfactory for the field restrictive condition, prompt message is generated；The prompt message is unsatisfactory for institute for prompting
The Field Count of field restrictive condition is stated, and prompts to be unsatisfactory for the field relevant information of the field restrictive condition；The field phase
Closing information includes the field identification or field name of the field.
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