CN107504999A - A kind of storage rack safe early warning and health evaluating method and device - Google Patents
A kind of storage rack safe early warning and health evaluating method and device Download PDFInfo
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- CN107504999A CN107504999A CN201710669242.3A CN201710669242A CN107504999A CN 107504999 A CN107504999 A CN 107504999A CN 201710669242 A CN201710669242 A CN 201710669242A CN 107504999 A CN107504999 A CN 107504999A
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Abstract
The invention provides a kind of storage rack safe early warning and health evaluating method and device, it is characterised in that comprises the following steps：1) temperature, humidity, acceleration of sampled point are gathered with period of time T, obtains temperature, humidity, shelf kinetic energy and the shelf potential energy of N number of sampling time point；2) Fuzzy evaluation mode is established；3) single-point assessment is carried out；4) the single-point assessment result of N number of sampling time point by step 2) 3), is can obtain, it is final shelf health status to take the at most corresponding state of points.A kind of storage rack safe early warning and health evaluating device, including storage rack safety early warning device (01), USB connecting lines (012) and computer (02), computer (02) carries out shelf health evaluating by described method.Storage rack safe early warning and the health evaluating method and device of the present invention, can monitor multiple physical quantitys, real-time early warning during more than threshold value, health evaluating be carried out when offline.Using separate installment seat and USB wire transmission technologies, cost is low, and reliability is high.
Description
Technical field
The present invention relates to logistics warehouse equipment and environmental monitoring technology field, more particularly to a kind of storage rack safe early warning
With health evaluating method and device.
Background technology
With the development of the social economy, the application of extensive storage facilities is also more and more extensive.Storage rack is that storage is made
One of capital equipment of industry, many storage racks are unattended, and the temperature, humidity when storage rack surrounding enviroment are too high, or goods
The weight of frame bearing goods exceedes design load, or shelf run-off the straight, or shelf by other mobile implements, goods or
The collision impact of operating personnel produce it is larger rocks, the safety for being stored in goods thereon or warehousing and storage activities personnel will all be caused
Threaten.Therefore, it is necessary to install safety early warning device on shelf, the parameter of exterior syndrome shelf safety can be gathered in real time, when these
Parameter sends warning information when exceeding threshold value set in advance, remind warehousing and storage activities personnel to make counter-measure, to shelf health
Assess and carry out respective dimension shield processing, be very important.
Existing logistic storage field also applies some safety monitoring technologies, but existing technology is both for environment
Safety monitoring, at present, not for the safe early warning technology of storage rack safety, also not to the exercise data of storage rack
It is acquired the method for making assessment.
The content of the invention
The goal of the invention of the present invention is to provide a kind of storage rack safe early warning and health evaluating method and device, Ke Yijian
Multiple physical quantitys are surveyed, real-time early warning during more than threshold value, health evaluating are carried out when offline.It is wired using separate installment seat and USB
Transmission technology, cost is low, and reliability is high.
The concrete technical scheme of the present invention is a kind of storage rack safe early warning and health evaluating method, it is characterised in that
Comprise the following steps：
1) temperature, humidity, acceleration of sampled point are gathered with period of time T, passes through acceleration calculation each sampling time
The shelf kinetic energy and shelf potential energy of point, obtain temperature, humidity, shelf kinetic energy and the shelf potential energy of N number of sampling time point；
2) Fuzzy evaluation mode is established
2.1) for each sampling time point, input set U={ u1,u2,u3,u4, wherein temperature is u1, humidity u2, goods
Frame kinetic energy is u3, shelf potential energy is u4,
If output collection Fi={ fi1,fi2,fi3, i=1,2,3,4, fi1,fi2,fi3It is u corresponding to respectivelyiThree kinds of language
Value, wherein, fi1Represent shelf normal condition, i.e. shelf normal operation；fi2Shelf abnormality is represented, i.e. shelf have failure
Hidden danger；fi3Represent shelf malfunction, i.e. failure be present, it is necessary to be safeguarded in shelf,
2.2) each precise volume in input set is blurred, output three kinds of Linguistic Values pair of collection is determined according to professional standard
The u answerediSpan, membership function is chosen, obtains uiFuzzy set after blurring
2.3) by input set U={ u1,u2,u3,u4After each parameter normalization, substitute intoIn, respectively obtain uiThree
Kind Linguistic Value is subordinate to angle value ri1、ri2、ri3, construct comprehensive evaluation matrix
2.4) weight for making temperature is w1, the weight of humidity is w2, the weight of shelf kinetic energy is w3, the weight of shelf potential energy
For w4, that is, the weight coefficient assessed is W=[w1,w2,w3,w4]；
3) single-point assessment is carried out
3.1) synthesis computing is carried out by the R of formula P=W zero, obtains P=[e1,e2,e3], wherein P is assessment result, e1,e2,e3
Represent that the assessment output result of the sampling time point falls in f respectivelyi1,fi2,fi3The probability or degree of membership in three Linguistic Value sections,
3.2) by operation result e1,e2,e3Anti fuzzy method, max { e are carried out according to maximum membership grade principle1,e2,e3Corresponding
Fi1,fi2,fi3In a Linguistic Value be single-point final assessment result；
4) step 2) -3 is pressed), the single-point assessment result of N number of sampling time point is can obtain, shelf normal operation, shelf are different
The number that normal state and shelf malfunction occur is added up, and compares shelf normal operation points, shelf abnormality points
With the size of shelf malfunction points, it is final shelf health status to take the at most corresponding state of points.
Further, the shelf kinetic energy and shelf of each sampling time point of acceleration calculation are passed through in described step 1)
Potential energy method is, if the vibration acceleration signal numerical value a of collectionk, k=1,2 ..., N, the speed of sample point is Vk, Vk
=| ak| * T, then have,
Shelf vibrated in sampled point caused by kinetic energy on X-axis coordinate direction be
Shelf vibrated in sampled point caused by kinetic energy on Y-axis coordinate direction be
Shelf vibrated in sampled point caused by kinetic energy on Z axis coordinate direction be
The shelf kinetic energy tried to achieve in sampled point is EKk=EKkx+EKky+EKkz,
Shelf potential energy is
Wherein, Vkx、Vky、VkzRespectively vibration velocity of the shelf on sampled point X, Y, Z axis coordinate direction, akzFor akIn Z
The component in axial coordinate direction, maFor shelf sole mass, mbFor the quality of load-bearing goods on shelf, H is pallet height.
Further, in described step 2.2), if fi1Corresponding span is [qi1, qi2), fi2Corresponding value
Scope is [qi2, qi4), fi3Corresponding span is [qi4, qi5),Trapezoidal function is chosen according to assignment technique
It is as follows with the linear membership function that triangular function is combined,
Export fi1Corresponding membership function presses formula (I)：
Export fi2Corresponding membership function presses formula (II)：
Export fi3Corresponding membership function presses formula (III)：
A kind of storage rack safe early warning and health evaluating device, including storage rack safety early warning device, USB connecting lines
And computer,
Described storage rack safety early warning device includes prior-warning device mainframe box, prior-warning device mounting seat and early warning mould
Block, the bottom of described prior-warning device mainframe box have raised dovetail, and described prior-warning device mounting seat includes installation bottom
Seat body, mainframe box fixing screws and mounting seat fixing screws, have on described mounting seat body and prior-warning device master
The dovetail groove that the dovetail of cabinet coordinates, described mainframe box fixing screws are used for the dovetail being clamped and installed in dovetail groove, described
Mounting seat fixing screws be used to mounting seat body being fixed on storage rack, described warning module is arranged on early warning
In device mainframe box, shelf ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing letter can be monitored
Breath, and exceed given threshold in shelf ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing numerical value
When, early warning is carried out,
Described storage rack safety early warning device is placed on shelf sample point, and temporally cycle T gathers shelf in real time
Ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing information, in storage rack safety early warning device
When sending early warning, storage rack safety early warning device is connected by USB connecting lines with computer, computer reads shelf and respectively adopted
The ambient temperature at sample time point, shelf surrounding enviroment humidity, 3-axis acceleration data, shelf health is carried out by the above process
Assess.
Further, the FLASH that described warning module includes microprocessor and is connected on microprocessor is deposited
Reservoir, Temperature Humidity Sensor, 3-axis acceleration sensor, real-time clock (RTC) module, LED light, USB interface, analog input lead to
Road and lithium battery, all devices of the above are arranged on one piece of pcb board, described analog input channel be used for installed in goods
Bearing sensor connects on frame.
Further, described prior-warning device mainframe box also have be connected with lithium battery power switch punched out, and
Binding post punched out, the perforate for LED light printing opacity and the USB for installing USB interface of analog input channel connection
Interface perforate.
Further, described prior-warning device mainframe box also has air vent, and described air vent is located at humiture biography
Near sensor.
Further, the tank material of described prior-warning device mainframe box and the base body of prior-warning device mounting seat
Material be aluminium alloy.
The beneficial effects of the invention are as follows storage rack safe early warning 1) of the invention with health evaluating method using blurring
Mathematical method, it is accurate that membership function is chosen, and obtains comprehensive evaluation matrix, then carries out obtaining synthesis after corresponding right assessment commenting
Estimate result, anti fuzzy method is carried out according to maximum membership grade principle, obtain accurately assessing semantic, two process clear logics, conjunction
Reason, accuracy of judgement, can be used in the health evaluating of storage rack；2) storage rack safety early warning device of the invention has warm and humid
Sensor, 3-axis acceleration sensor multiple sensors are spent, comprehensive monitoring can be carried out to the safety of storage rack, monitoring exceeds
Timely early warning during threshold value；3) analog input channel is carried, can external other sensors；4) there is mainframe box and the installation of separation
Seat, it is convenient to the installing/dismounting from storage rack, be easy to online or offline use；5) FLASH memory is carried, USB can be used
Wire transmission is carried out to data, cost is low, reliability is high；6) long-term unattended surveillance can be carried out, timing reads data and carried out
Analysis.
Brief description of the drawings
Fig. 1 is the curve map for the membership function that the storage rack safe early warning of the present invention uses with health evaluating method；
Fig. 2 is structural representation of the storage rack safe early warning with health evaluating device of the present invention；
Fig. 3 is mainframe box schematic perspective view of the storage rack safe early warning with health evaluating device of the present invention；
Fig. 4 is mounting seat schematic perspective view of the storage rack safe early warning with health evaluating device of the present invention；
Fig. 5 is warning module structural representation of the storage rack safe early warning with health evaluating device of the present invention.
Embodiment
It is further described with reference to the concrete technical scheme of the present invention.
A kind of storage rack safe early warning of the present invention and health evaluating method, it is characterised in that comprise the following steps：
1) temperature, humidity, acceleration of sampled point are gathered with period of time T, passes through acceleration calculation each sampling time
The shelf kinetic energy and shelf potential energy of point, obtain temperature, humidity, shelf kinetic energy and the shelf potential energy of N number of sampling time point.
It is by the shelf kinetic energy and shelf potential energy method of each sampling time point of acceleration calculation, if the vibration of collection adds
Rate signal numerical value ak, k=1,2 ..., N, the speed of sample point is Vk, Vk=| ak| * T, then have,
Shelf vibrated in sampled point caused by kinetic energy on X-axis coordinate direction be
Shelf vibrated in sampled point caused by kinetic energy on Y-axis coordinate direction be
Shelf vibrated in sampled point caused by kinetic energy on Z axis coordinate direction be
The shelf kinetic energy tried to achieve in sampled point is EKk=EKkx+EKky+EKkz,
Shelf potential energy is
Wherein, Vkx、Vky、VkzRespectively vibration velocity of the shelf on sampled point X, Y, Z axis coordinate direction, akzFor akIn Z
The component in axial coordinate direction, maFor shelf sole mass, mbFor the quality of load-bearing goods on shelf, H is pallet height；
2) Fuzzy evaluation mode is established
2.1) for each sampling time point, input set U={ u1,u2,u3,u4, wherein temperature is u1, humidity u2, goods
Frame kinetic energy is u3, shelf potential energy is u4,
If output collection Fi={ fi1,fi2,fi3, i=1,2,3,4, fi1,fi2,fi3It is u corresponding to respectivelyiThree kinds of language
Value, wherein, fi1Represent shelf normal condition, i.e. shelf normal operation；fi2Shelf abnormality is represented, i.e. shelf have failure
Hidden danger；fi3Represent shelf malfunction, i.e. failure be present, it is necessary to be safeguarded in shelf,
2.2) each precise volume in input set is blurred, output three kinds of Linguistic Values pair of collection is determined according to professional standard
The u answerediSpan, membership function is chosen, obtains uiFuzzy set after blurring
If fi1Corresponding span is [qi1, qi2), fi2Corresponding span is [qi2, qi4), fi3Corresponding value
Scope is [qi4, qi5),Trapezoidal function is chosen according to assignment technique with what triangular function was combined to be linearly subordinate to
It is as follows to spend function, as shown in Figure 1.
Export fi1Corresponding membership function presses formula (I)：
Export fi2Corresponding membership function presses formula (II)：
Export fi3Corresponding membership function presses formula (III)：
2.3) by input set U={ u1,u2,u3,u4After each parameter normalization, substitute intoIn, respectively obtain uiThree
Kind Linguistic Value is subordinate to angle value ri1、ri2、ri3, construct comprehensive evaluation matrix
2.4) weight for making temperature is w1, the weight of humidity is w2, the weight of shelf kinetic energy is w3, the weight of shelf potential energy
For w4, that is, the weight coefficient assessed is W=[w1,w2,w3,w4], each weighted value provides in being verified according to test of many times；
3) single-point assessment is carried out
3.1) synthesis computing is carried out by the R of formula P=W zero, obtains P=[e1,e2,e3], wherein P is assessment result, e1,e2,e3
Represent that the assessment output result of the sampling time point falls in f respectivelyi1,fi2,fi3The probability or degree of membership in three Linguistic Value sections,
3.2) by operation result e1,e2,e3Anti fuzzy method, max { e are carried out according to maximum membership grade principle1,e2,e3Corresponding
Fi1,fi2,fi3In a Linguistic Value be single-point final assessment result；
4) step 2) -3 is pressed), the single-point assessment result of N number of sampling time point is can obtain, shelf normal operation, shelf are different
The number that normal state and shelf malfunction occur is added up, and compares shelf normal operation points, shelf abnormality points
With the size of shelf malfunction points, it is final shelf health status to take the at most corresponding state of points.
As shown in accompanying drawing 2-5, a kind of storage rack safe early warning of the invention and health evaluating device, including storage rack
Safety early warning device 01, USB connecting lines 012 and computer 02.
Described storage rack safety early warning device 01, including prior-warning device mainframe box 21, prior-warning device mounting seat 31
And warning module.Described storage rack safety early warning device 01 is placed on shelf sample point, and temporally cycle T gathers in real time
Shelf ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing information, in storage rack safe early warning
When device 01 sends early warning, storage rack safety early warning device 01 is connected by USB connecting lines 012 with computer 02, calculated
The ambient temperature of the reading each sampling time point of shelf of machine 02, shelf surrounding enviroment humidity, 3-axis acceleration data, by above-mentioned
Method carries out shelf health evaluating.
The bottom of described prior-warning device mainframe box 21 has raised dovetail 211, described prior-warning device mainframe box 21
Also there is the power switch punched out 212 being connected with lithium battery 19, the binding post being connected with analog input channel 18 to pass
Hole 213, the perforate 214 for the printing opacity of LED light 16 and the USB interface perforate 215 for installing usb 17.Described early warning
Device mainframe box 21 also has air vent 216, and described air vent 216 is located near Temperature Humidity Sensor 13.
Described prior-warning device mounting seat 31 includes mounting seat body, mainframe box fixing screws 312 and mounting seat
Fixing screws 313, there is the dovetail groove coordinated with the dovetail 211 of prior-warning device mainframe box 21 on described mounting seat body
311, described mainframe box fixing screws 312 are used for the dovetail 211 being clamped and installed in dovetail groove 311, described mounting seat
Fixing screws 313 are used to mounting seat body being fixed on storage rack.
The material of the tank material of described prior-warning device mainframe box 21 and the base body of prior-warning device mounting seat 31
For aluminium alloy.
Described warning module is arranged in prior-warning device mainframe box 21.Shelf ambient temperature, shelf can be monitored
Surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing information, and shelf ambient temperature, shelf surrounding enviroment humidity,
When 3-axis acceleration and shelf load-bearing numerical value exceed given threshold, early warning is carried out.Given threshold is typically with national standard, industry mark
Accurate, company standard determines, or is determined according to the requirement of the article of storage, as the environment temperature of electronic warehouse is controlled 15 degree~30
Degree, the ambient humidity of electronic warehouse are controlled 30%~70%.
Described warning module include microprocessor 11 and be connected on microprocessor 11 FLASH memory 12,
Temperature Humidity Sensor 13,3-axis acceleration sensor 14, real-time clock (RTC) module 15, LED light 16, usb 17, analog quantity are defeated
Enter passage 18 and lithium battery 19, all devices of the above are arranged on one piece of pcb board.
Microprocessor 11, it is the core of prior-warning device 01, for the collection, storage and transmission of control information, and completes to believe
The functions such as breath processing.
FLASH memory 12, using 1G capacity FLASH memories, for storing the information of collection.
Temperature Humidity Sensor 13, using integrated sensor, electrically connected, used with microprocessor 11 by I2C buses
In collection shelf ambient temperature, shelf surrounding enviroment humidity, generation temperature is stored to FLASH memory with humidity information
12。
3-axis acceleration sensor 14, using integrated sensor, electrically connected, used with microprocessor 11 by I2C
In collection shelf X, Y, Z three-dimensional acceleration, generation shelf three-dimensional acceleration information is stored to FLASH memory 12.
Real-time clock (RTC) module 15, benchmark real-time clock (RTC) is provided for the work of prior-warning device 01.
LED light 16,2 or more than 2 LED lights are set, shows and reports for the working condition of prior-warning device 01
Alert presentation of information, controls it to light or extinguish by microprocessor 11.
Usb 17, be the wired communication interface of prior-warning device 01, for PC or other smart device communications, will
The information transfer stored in FLASH memory 12 is to PC or other smart machines.
Analog input channel 18, it is connected with shelf bearing sensor, is that prior-warning device 01 accesses shelf load-bearing signal
Process channel.Shelf bearing sensor is device independently installed in addition, is arranged on the frame bottom position of shelf as needed.
Lithium battery 19, working power is provided for the internal circuit of prior-warning device 01.Lithium battery 19 carries power switch.
Storage rack safety early warning device 01 uses lithium battery power supply, online real time collecting storage rack security parameter, bag
The information such as shelf ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration information, shelf load-bearing are included, by the letter of collection
Breath is stored in high-capacity FLASH memory 12.
Claims (8)
1. a kind of storage rack safe early warning and health evaluating method, it is characterised in that comprise the following steps：
1) temperature, humidity, acceleration of sampled point are gathered with period of time T, passes through each sampling time point of acceleration calculation
Shelf kinetic energy and shelf potential energy, obtain temperature, humidity, shelf kinetic energy and the shelf potential energy of N number of sampling time point；
2) Fuzzy evaluation mode is established
2.1) for each sampling time point, input set U={ u1,u2,u3,u4, wherein temperature is u1, humidity u2, shelf move
Can be u3, shelf potential energy is u4,
If output collection Fi={ fi1,fi2,fi3, i=1,2,3,4, fi1,fi2,fi3It is u corresponding to respectivelyiThree kinds of Linguistic Values, its
In, fi1Represent shelf normal condition, i.e. shelf normal operation；fi2Shelf abnormality is represented, i.e. shelf have potential faults；
fi3Represent shelf malfunction, i.e. failure be present, it is necessary to be safeguarded in shelf,
2.2) each precise volume in input set is blurred, according to corresponding to professional standard determines output three kinds of Linguistic Values of collection
uiSpan, membership function is chosen, obtains uiFuzzy set after blurring
2.3) by input set U={ u1,u2,u3,u4After each parameter normalization, substitute intoIn, respectively obtain uiThree kinds of languages
Speech value is subordinate to angle value ri1、ri2、ri3, construct comprehensive evaluation matrix
2.4) weight for making temperature is w1, the weight of humidity is w2, the weight of shelf kinetic energy is w3, the weight of shelf potential energy is w4,
The weight coefficient assessed is W=[w1,w2,w3,w4]；
3) single-point assessment is carried out
3.1) synthesis computing is carried out by the R of formula P=W zero, obtains P=[e1,e2,e3], wherein P is assessment result, e1,e2,e3Respectively
Represent that the assessment output result of the sampling time point falls in fi1,fi2,fi3The probability or degree of membership in three Linguistic Value sections,
3.2) by operation result e1,e2,e3Anti fuzzy method, max { e are carried out according to maximum membership grade principle1,e2,e3Corresponding to fi1,
fi2,fi3In a Linguistic Value be single-point final assessment result；
4) step 2) -3 is pressed), the single-point assessment result of N number of sampling time point is can obtain, by shelf normal operation, shelf exception shape
The number that state and shelf malfunction occur is added up, and compares shelf normal operation points, shelf abnormality points and goods
The size of frame malfunction points, it is final shelf health status to take the at most corresponding state of points.
2. a kind of storage rack safe early warning as claimed in claim 1 and health evaluating method, it is characterised in that described step
It is rapid 1) in by the shelf kinetic energy and shelf potential energy method of each sampling time point of acceleration calculation be, if the vibration of collection accelerates
Spend signal numerical value ak, k=1,2 ..., N, the speed of sample point is Vk, Vk=| ak| * T, then have,
Shelf vibrated in sampled point caused by kinetic energy on X-axis coordinate direction be
Shelf vibrated in sampled point caused by kinetic energy on Y-axis coordinate direction be
Shelf vibrated in sampled point caused by kinetic energy on Z axis coordinate direction be
The shelf kinetic energy tried to achieve in sampled point is EKk=EKkx+EKky+EKkz,
Shelf potential energy is
Wherein, Vkx、Vky、VkzRespectively vibration velocity of the shelf on sampled point X, Y, Z axis coordinate direction, akzFor akSat in Z axis
Mark the component in direction, maFor shelf sole mass, mbFor the quality of load-bearing goods on shelf, H is pallet height.
3. a kind of storage rack safe early warning as claimed in claim 1 and health evaluating method, it is characterised in that described step
It is rapid 2.2) in, if fi1Corresponding span is [qi1, qi2), fi2Corresponding span is [qi2, qi4), fi3Corresponding value
Scope is [qi4, qi5),The linear person in servitude being combined according to assignment technique selection trapezoidal function with triangular function
Category degree function is as follows,
Export fi1Corresponding membership function presses formula (I)：
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Export fi2Corresponding membership function presses formula (II)：
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4. a kind of storage rack safe early warning and health evaluating device, including storage rack safety early warning device (01), USB connections
Line (012) and computer (02),
Described storage rack safety early warning device (01) includes prior-warning device mainframe box (21), prior-warning device mounting seat (31)
And warning module, the bottom of described prior-warning device mainframe box (21) have raised dovetail (211), described prior-warning device peace
Dress base (31) includes mounting seat body, mainframe box fixing screws (312) and mounting seat fixing screws (313), described
There is the dovetail groove (311) coordinated with the dovetail (211) of prior-warning device mainframe box (21), described main frame on mounting seat body
Case fixing screws (312) are used for the dovetail (211) being clamped and installed in dovetail groove (311), described mounting seat fixing screws
(313) it is used to mounting seat body being fixed on storage rack, described warning module is arranged on prior-warning device mainframe box
(21) in, shelf ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing information can be monitored, and
When shelf ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing numerical value exceed given threshold, enter
Row early warning,
Described storage rack safety early warning device (01) is placed on shelf sample point, and temporally cycle T gathers shelf in real time
Ambient temperature, shelf surrounding enviroment humidity, 3-axis acceleration and shelf load-bearing information, in storage rack safety early warning device
(01) when sending early warning, storage rack safety early warning device (01) is connected by USB connecting lines (012) with computer (02),
The ambient temperature of computer (02) reading each sampling time point of shelf, shelf surrounding enviroment humidity, 3-axis acceleration data,
Method as described in claim 1 carries out shelf health evaluating.
5. a kind of storage rack safe early warning as claimed in claim 4 and health evaluating device, it is characterised in that described is pre-
Alert module includes microprocessor (11) and the FLASH memory (12) being connected on microprocessor (11), temperature and humidity sensing
Device (13), 3-axis acceleration sensor (14), real-time clock (RTC) module (15), LED light (16), USB interface (17), analog quantity are defeated
Enter passage (18) and lithium battery (19), all devices of the above are arranged on one piece of pcb board, described analog input channel
(18) be used for on shelf bearing sensor be connected.
6. a kind of storage rack safe early warning as claimed in claim 5 and health evaluating device, it is characterised in that described is pre-
Alarm device mainframe box (21) also has the power switch punched out (212) being connected with lithium battery (19) and analog input channel
(18) the binding post punched out (213) of connection, the perforate (214) for LED light (16) printing opacity and installation USB interface
(17) USB interface perforate (215).
7. a kind of storage rack safe early warning as claimed in claim 6 and health evaluating device, it is characterised in that described is pre-
Alarm device mainframe box (21) also has air vent (216), and described air vent (216) is located near Temperature Humidity Sensor (13).
8. a kind of storage rack safe early warning as claimed in claim 7 and health evaluating device, it is characterised in that described is pre-
The material of the tank material of alarm device mainframe box (21) and the base body of prior-warning device mounting seat (31) is aluminium alloy.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710669242.3A CN107504999B (en) | 2017-08-08 | 2017-08-08 | Storage shelf safety early warning and health assessment method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710669242.3A CN107504999B (en) | 2017-08-08 | 2017-08-08 | Storage shelf safety early warning and health assessment method and device |
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| CN107504999A true CN107504999A (en) | 2017-12-22 |
| CN107504999B CN107504999B (en) | 2020-01-10 |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109708739A (en) * | 2018-09-07 | 2019-05-03 | 盈奇科技（深圳）有限公司 | A kind of automatic selling counter sensor creep measurement method |
| CN111583517A (en) * | 2020-04-22 | 2020-08-25 | 上海趣致网络科技股份有限公司 | Delivery control method of vending machine, server and vending machine |
| CN112263043A (en) * | 2020-10-28 | 2021-01-26 | 安徽铱玛热能设备制造股份有限公司 | Electromagnetic heating superconductor heat transfer constant temperature warm keeping shoes |
| CN112966590A (en) * | 2021-03-03 | 2021-06-15 | 河南鑫安利安全科技股份有限公司 | Real-time early warning method and device based on AIOT and enterprise safety index |
| CN113486586A (en) * | 2021-07-06 | 2021-10-08 | 新智数字科技有限公司 | Equipment health state evaluation method and device, computer equipment and storage medium |
| CN116882975A (en) * | 2023-07-17 | 2023-10-13 | 新疆亚欧国际物资交易中心有限公司 | Warehouse service method and system based on distributed computing |
| CN117745323A (en) * | 2023-12-22 | 2024-03-22 | 广州市禾赢文化传播有限公司 | Retail content management method and system based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3355951B2 (en) * | 1996-08-26 | 2002-12-09 | 株式会社大林組 | Storage shelf fall prevention device for storage shelves |
| WO2007095144A3 (en) * | 2006-02-10 | 2008-10-02 | American Power Conv Corp | Storage rack management system and method |
| CN101566523A (en) * | 2009-05-11 | 2009-10-28 | 中能电力科技开发有限公司 | Method for monitoring state of gear case of wind generating set |
| KR20130123624A (en) * | 2012-05-03 | 2013-11-13 | 한경대학교 산학협력단 | Rack coupling damper system for vibration control of lightweight-framed storage racking structure |
| CN203908592U (en) * | 2014-06-17 | 2014-10-29 | 北京物资学院 | Warehousing operation environment safety early warning device |
| CN206269848U (en) * | 2016-08-19 | 2017-06-20 | 北京物资学院 | Extraordinary storage rack safety monitoring assembly |
-
2017
- 2017-08-08 CN CN201710669242.3A patent/CN107504999B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3355951B2 (en) * | 1996-08-26 | 2002-12-09 | 株式会社大林組 | Storage shelf fall prevention device for storage shelves |
| WO2007095144A3 (en) * | 2006-02-10 | 2008-10-02 | American Power Conv Corp | Storage rack management system and method |
| CN101566523A (en) * | 2009-05-11 | 2009-10-28 | 中能电力科技开发有限公司 | Method for monitoring state of gear case of wind generating set |
| KR20130123624A (en) * | 2012-05-03 | 2013-11-13 | 한경대학교 산학협력단 | Rack coupling damper system for vibration control of lightweight-framed storage racking structure |
| CN203908592U (en) * | 2014-06-17 | 2014-10-29 | 北京物资学院 | Warehousing operation environment safety early warning device |
| CN206269848U (en) * | 2016-08-19 | 2017-06-20 | 北京物资学院 | Extraordinary storage rack safety monitoring assembly |
Non-Patent Citations (1)
| Title |
|---|
| 张志刚: "棉包仓库简易安全评估方法研究", 《武警学院学报》 * |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109708739A (en) * | 2018-09-07 | 2019-05-03 | 盈奇科技（深圳）有限公司 | A kind of automatic selling counter sensor creep measurement method |
| CN111583517A (en) * | 2020-04-22 | 2020-08-25 | 上海趣致网络科技股份有限公司 | Delivery control method of vending machine, server and vending machine |
| CN112263043A (en) * | 2020-10-28 | 2021-01-26 | 安徽铱玛热能设备制造股份有限公司 | Electromagnetic heating superconductor heat transfer constant temperature warm keeping shoes |
| CN112966590A (en) * | 2021-03-03 | 2021-06-15 | 河南鑫安利安全科技股份有限公司 | Real-time early warning method and device based on AIOT and enterprise safety index |
| CN113486586A (en) * | 2021-07-06 | 2021-10-08 | 新智数字科技有限公司 | Equipment health state evaluation method and device, computer equipment and storage medium |
| CN113486586B (en) * | 2021-07-06 | 2023-09-05 | 新奥新智科技有限公司 | Device health state evaluation method and device, computer device and storage medium |
| CN116882975A (en) * | 2023-07-17 | 2023-10-13 | 新疆亚欧国际物资交易中心有限公司 | Warehouse service method and system based on distributed computing |
| CN116882975B (en) * | 2023-07-17 | 2024-01-30 | 新疆亚欧国际物资交易中心有限公司 | Warehouse service method and system based on distributed computing |
| CN117745323A (en) * | 2023-12-22 | 2024-03-22 | 广州市禾赢文化传播有限公司 | Retail content management method and system based on big data |
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