CN109799498A - System is monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT - Google Patents
System is monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT Download PDFInfo
- Publication number
- CN109799498A CN109799498A CN201910006680.0A CN201910006680A CN109799498A CN 109799498 A CN109799498 A CN 109799498A CN 201910006680 A CN201910006680 A CN 201910006680A CN 109799498 A CN109799498 A CN 109799498A
- Authority
- CN
- China
- Prior art keywords
- roll paper
- signal strength
- paper
- millimetre
- wave radar
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Paper (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
System is monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT the invention discloses a kind of, including paper holder equipment end and cloud server terminal, the paper holder equipment end is mainly responsible for the envelope data that acquisition iron core and roll paper form by ultra wide band millimetre-wave radar sensor, then transmits data to server end by NB-IoT;Then it is then shown on paper holder by server end transimiison analysis result to paper holder end;Cloud server terminal is mainly responsible for reception data, then handles data;Pass through data processing, it can be deduced that the total flow of roll paper, with the presence or absence of waste, individual equipment using whether Yi Chang conclusion;Then upstream device, or shown on webpage.The invention enables the roll paper amounts in paper holder to be recorded in the form of digitized, more intuitively shows us at the moment;Simultaneously can also detection device damaged condition, even if guarantee maintenance;Promote the development of civilization degree in China and the living standard of the people.
Description
Technical field
System is monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT the present invention relates to a kind of.
Background technique
Ultra wide band millimetre-wave radar sensor is a kind of novel sensor generated by itself and emit reception millimeter wave,
Signal strength by analyzing different distance different objects realizes precision ranging and Material Identification.Millimetre-wave radar advantage has anti-dry
It is strong to disturb ability, detection accuracy is high, equipment volume is little, light-weight etc., and the high-speed digital signals processing technique such as FPGA is continuous
Progress, the application field of millimeter wave is more and more wider, has in fields such as short-range detecting, anti-collision warning, self-navigation and environmental monitorings
There is positive effect.
Using the NB-IoT agreement of low-power consumption wide area network, by treated, millimetre-wave radar data pass through udp, coap agreement
Transmit data to the database of cloud server.NB-IoT repeats transmission using ultra-narrow band carrier technology, information, is based on LTE net
The modes such as network agreement Reduced Design obtain holding towards LPWA Internet of Things to sacrifice the characteristics such as given pace, time delay, mobility
Loading capability.NB-IoT has four characteristics as a kind of new narrowband cellular communication solution: first is that covering is wide and deep, same
Under the frequency range of sample, NB-IoT is than existing GPRS coverage enhancement 20dB+, to realize that area coverage is wider, penetration capacity is stronger;Two
It is the ability for having " magnanimity " connection, 50k+ user capacity 200khz cell;Third is that power consumption of terminal is low, be based on AA battery, to
Machine sees that theoretically NB-IoT mould group, which can be used, is up to 10 years on the time;Fourth is that mould group is at low cost, power from operation cost,
It communicates all lower than GPRS.The plurality of advantages being had by above-mentioned NB-IoT can take interior band, protection band or independence according to scene respectively
3 kinds of operating modes of carrier wave;Upgrading is carried out based on existing network simultaneously, realization coexists with existing network, and NB-IoT is very big
It is one of optimal technical solution of roll paper intelligent checking system in degree.
The use of Kalman filtering (Kalman filtering) is theoretically in order to obtain true value, so that obtaining in experiment
Signal value occupy more stable state.It is it is a kind of utilize linear system state equation, by the observation data of system into
The algorithm of row optimal estimation.Because having the influence of noise and interference in observation data procedures, optimal estimation can also be regarded as
It is filtering.
The method of cloud data management and its relevant technologies is most direct in terms of the sensing data processing of centralization.Volume
The data deposit cloud database at paper device end simultaneously carries out data analysis, and administrator understands making for equipment by the data of analysis in real time
With situation and roll paper service condition, the supplement of roll paper and the maintenance of paper holder, the processing of foreign matter are carried out immediately.
Summary of the invention
System, this hair are monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT it is an object of that present invention to provide a kind of
The bright roll paper amount made in paper holder is recorded in the form of digitized, more intuitively shows us at the moment;It can also detect simultaneously
The damaged condition of equipment guarantees on-call maintenance;The reasonable management for solving roll paper is that we promote the committed step of " lavatory revolution ".
Not yet has perfect toilet paper management system in the world at present, can compare after this system gradual perfection perfect must solve this and ask
Topic, promotes the development of civilization degree in China and the living standard of the people.
In order to achieve the above object, the technical scheme is that
It is a kind of that system, including paper holder equipment end and cloud server terminal are monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT,
The paper holder equipment end is mainly responsible for the envelope number that acquisition iron core and roll paper form by ultra wide band millimetre-wave radar sensor
According to, then server end transmitted data to by NB-IoT;Then it by server end transimiison analysis result to paper holder end, is then rolling up
It is shown on paper device;Cloud server terminal is mainly responsible for reception data, then handles data;Pass through data processing, it can be deduced that
The total flow of roll paper, with the presence or absence of waste, individual equipment using whether Yi Chang conclusion;Then upstream device, or in net
It is shown on page;Its treatment process includes the following steps:
1) system initialization obtains signal strength;System initialization is for roll paper full in the current paper holder of acquisition and without roll paper two
The sensor reflected signal strength of kind situation, to calculate roll paper residue percentage;Millimeter-wave signal is sent, measurement is with metal
The a roll of roll paper of inner core obtains the figure of fan-shaped region immediately ahead of sensor about abscissa to be apart from ordinate be signal strength
Table, signal strength A and signal strength B when blank coil paper when obtaining full roll paper by calculating the waveform after stablizing;
2) acquisition is reflected signal and is filtered;It is normal to be packed into roll paper, data, which are carried out, towards roll paper with millimetre-wave radar adopts
Collection;Signal strength R is obtained by calculating, obtains current signal strength C after carrying out Kalman filtering to signal strength R;
3) roll paper surplus is obtained;Signal strength B when signal strength A when full roll paper resulting by first two steps, blank coil paper,
Current signal strength C brings following formula into, and: (C-A)/(B-A) can be obtained roll paper surplus, to reach roll paper detection
Purpose.
When signal strength A and blank coil paper when obtaining full roll paper by calculating the waveform after stablizing in the step 1)
The calculation method of signal strength B are as follows:
Input first: amplitude array P={ P0, P1, P2 ..., PN }, the spacing of each point is 0.48mm in array;The P0-of input
PN value is sensor received signal intensity;
S1 step: one threshold value S of setting judges that Px-1<S&&Px>S whether there is, then returns to NULL if it does not exist;If it exists then
Taking the smallest x is X, and judges whether there is Py-1>S&&Py<S, and then taking the smallest y if it exists is Y, then takes the N to be if it does not exist
Y。
S2 step: taking Pxy={ Px ..., Py } according to X and Y, and acquiring the maximum value Pmax in Pxy is signal strength, apart from=
(max+1)*0.48;Through the above steps can proper roll paper when be full, the Pmax measured is A;When roll paper is sky,
The Pmax measured is B.
The maximum value Pmax obtained in the step 2) by step 1) is strong to signal as current signal strength R
The step of obtaining current signal strength C after degree R progress Kalman filtering are as follows:
It inputs first: the signal strength R by calculating acquisition in step 1);R is exactly above-mentioned Pmax value, indicates current signal
Intensity;
S1 step: it sets and surveys that R as measurement error, Q is systematic error, the result of the upper Kalman filtering of C_last, P_last are
Covariance;C_mid=C_last; P_mid=P_last+Q;
S2 step: KG is set as kalman gain, KG=P_mid/ (P_mid+R);
S3 step: this Kalman filtered results C=C_mid+KG* (R- C_mid) is returned;
S4 step: covariance P_now=(1-KG) * P_mid is calculated to obtain;
S5 step: covariance P_last=P_now is updated;
S6 step: Kalman filtered results C_last=C is updated;
C is current demand signal, can real-time update.
The beneficial effects of the present invention are: (1) uses millimetre-wave radar sensor, the feelings in many paper holders can be learnt
Condition;(2) NB-IoT module transfer data are used, can be not against cable, the traditional networks such as WLAN realize communication;
(3) data are uploaded, carry out operation beyond the clouds.More acurrate conclusion is obtained by the comparison of more equipment;(4) server end analyzes cloud number
According to and prompt can be made.The invention enables the roll paper amounts in paper holder to be recorded in the form of digitized, more intuitively shows me
At the moment;Simultaneously can also detection device damaged condition, guarantee timely maintenance;The reasonable management for solving roll paper is that we promote
The committed step of " lavatory revolution ".Promote the development of civilization degree in China and the living standard of the people.
Detailed description of the invention
Fig. 1 is system flow chart of the invention;
Fig. 2 is the ripple display figure that the passback of metal bar envelope data is detected in the embodiment of the present invention 1;
Fig. 3 is the roll paper ripple display figure that metal bar is inner core in the embodiment of the present invention 1.
Specific embodiment
Embodiment 1
The present embodiment it is a kind of based on the intelligent roll paper of millimetre-wave radar and NB-IoT monitor system, including paper holder equipment end and
Cloud server terminal, the paper holder equipment end are mainly responsible for acquisition iron core by ultra wide band millimetre-wave radar sensor and are formed with roll paper
Envelope data, then server end is transmitted data to by NB-IoT;Then by server end transimiison analysis result to paper holder end,
Then it is shown on paper holder;Cloud server terminal is mainly responsible for reception data, then handles data;By data processing,
It can be concluded that the total flow of roll paper, with the presence or absence of waste, individual equipment using whether Yi Chang conclusion;Then upstream device,
Or it is shown on webpage;Its treatment process include the following steps: as shown in Figure 1,
1) system initialization obtains signal strength;System initialization is for roll paper full in the current paper holder of acquisition and without roll paper two
The sensor reflected signal strength of kind situation, to calculate roll paper residue percentage;Millimeter-wave signal is sent, measurement is with metal
The a roll of roll paper of inner core obtains the waveform of fan-shaped region immediately ahead of sensor about abscissa to be apart from ordinate be signal strength
Scheme (as shown in Figure 3), signal strength when signal strength A and blank coil paper when obtaining full roll paper by calculating the waveform after stablizing
B;
Signal when signal strength A and blank coil paper when obtaining full roll paper by calculating the waveform after stablizing in the step 1)
The calculation method of intensity B are as follows:
Input first: amplitude array P={ P0, P1, P2 ..., PN }, the spacing of each point is 0.48mm in array;The P0-of input
PN value is sensor received signal intensity;
S1 step: one threshold value S of setting judges that Px-1<S&&Px>S whether there is, then returns to NULL if it does not exist;If it exists then
Taking the smallest x is X, and judges whether there is Py-1>S&&Py<S, and then taking the smallest y if it exists is Y, then takes the N to be if it does not exist
Y。
S2 step: taking Pxy={ Px ..., Py } according to X and Y, and acquiring the maximum value Pmax in Pxy is signal strength, apart from=
(max+1)*0.48;Through the above steps can proper roll paper when be full, the Pmax measured is A;When roll paper is sky,
The Pmax measured is B.
2) acquisition is reflected signal and is filtered;It is normal to be packed into roll paper, it is counted with millimetre-wave radar towards roll paper
According to acquisition;Signal strength R is obtained by calculating, obtains current signal strength C after carrying out Kalman filtering to signal strength R;
The maximum value Pmax obtained in the step 2) by step 1) as current signal strength R, to signal strength R into
The step of current signal strength C is obtained after row Kalman filtering are as follows:
It inputs first: the signal strength R by calculating acquisition in step 1);R is exactly above-mentioned Pmax value, indicates current letter
Number intensity;
S1 step: it sets and surveys that R as measurement error, Q is systematic error, the result of the upper Kalman filtering of C_last, P_last are
Covariance;C_mid=C_last; P_mid=P_last+Q;
S2 step: KG is set as kalman gain, KG=P_mid/ (P_mid+R);
S3 step: this Kalman filtered results C=C_mid+KG* (R- C_mid) is returned;
S4 step: covariance P_now=(1-KG) * P_mid is calculated to obtain;
S5 step: covariance P_last=P_now is updated;
S6 step: Kalman filtered results C_last=C is updated;
C is current demand signal, can real-time update.
3) roll paper surplus is obtained;Signal when signal strength A when full roll paper resulting by first two steps, blank coil paper is strong
Degree B, current signal strength C bring following formula into: (C-A)/(B-A) can be obtained roll paper surplus, to reach roll paper inspection
The purpose of survey.
For this system using metal as paper holder inner core, experimental phenomena shows that metal inside signal strength is big (such as Fig. 2 institute
Show), and roll paper absorption signal is very competent.Attenuation degree by analyzing signal may determine that the object material in paper holder.
During roll paper is constantly consumed, signal shielding ability is also weakened therewith, the signal detected by analyte sensors
The variation of intensity judges the roll paper amount of paper holder.Furthermore when abnormal conditions occurs in paper holder, sensor also can be in paper holder
Whether there are other foreign matters or whether physically paper holder is damaged and carry out judging return data to cloud and warn
Report prompt or alarm.The present invention mainly uses millimetre-wave radar sensor, the sensor emission ultra-wide in sensing layer technology
Band millimeter wave, realizes precision ranging using the degree of accurately distinguishing of ultra-wideband impulse signal in the time domain, anti-by detecting object
It is emitted back towards the envelope judgment object material of the electromagnetic wave come, to detect current paper amount and paper holder with the presence or absence of foreign matter.It is transmitting
Layer uses the NB-IoT agreement of low-power consumption wide area network, and by treated, millimetre-wave radar data pass through udp, coap agreement transmission number
According to the database for arriving cloud server, logged in by webpage to access cloud data.
Millimetre-wave radar sensor is used in the present embodiment, can learn the situation in many paper holders;Second uses NB-
IoT module transfer data, can be not against cable, and the traditional networks such as WLAN realize communication;Third uploads data,
Operation is carried out beyond the clouds.More acurrate conclusion is obtained by the comparison of more equipment;4th server end analysis cloud data can simultaneously be made
Prompt.The invention enables the roll paper amounts in paper holder to be recorded in the form of digitized, more intuitively shows us at the moment;Simultaneously
Can also detection device damaged condition, guarantee timely maintenance;The reasonable management for solving roll paper is that we promote " lavatory revolution "
Committed step.Promote the development of civilization degree in China and the living standard of the people.
Claims (3)
1. a kind of monitor system based on the intelligent roll paper of millimetre-wave radar and NB-IoT, which is characterized in that including paper holder equipment
End and cloud server terminal, the paper holder equipment end are mainly responsible for obtaining iron core and roll paper by ultra wide band millimetre-wave radar sensor
The envelope data of composition, then server end is transmitted data to by NB-IoT;Cloud server terminal is mainly responsible for reception data, then logarithm
According to being handled;Pass through data processing, it can be deduced that the total flow of roll paper, with the presence or absence of waste, individual equipment using whether
Abnormal conclusion;Then upstream device, or shown on webpage;Its treatment process includes the following steps:
1) system initialization obtains signal strength;System initialization is for roll paper full in the current paper holder of acquisition and without roll paper two
The sensor reflected signal strength of kind situation, to calculate roll paper residue percentage;Millimeter-wave signal is sent, measurement is with metal
The a roll of roll paper of inner core obtains the figure of fan-shaped region immediately ahead of sensor about abscissa to be apart from ordinate be signal strength
Table, signal strength A and signal strength B when blank coil paper when obtaining full roll paper by calculating the waveform after stablizing;
2) acquisition is reflected signal and is filtered;It is normal to be packed into roll paper, data, which are carried out, towards roll paper with millimetre-wave radar adopts
Collection;Signal strength R is obtained by calculating, obtains current signal strength C after carrying out Kalman filtering to signal strength R;
3) roll paper surplus is obtained;Signal strength B when signal strength A when full roll paper resulting by first two steps, blank coil paper,
Current signal strength C brings following formula into, and: (C-A)/(B-A) can be obtained roll paper surplus, to reach roll paper detection
Purpose.
2. as described in claim 1 a kind of based on the intelligent roll paper of millimetre-wave radar and NB-IoT monitoring system, feature exists
Signal when, signal strength A and blank coil paper when obtaining full roll paper by calculating the waveform after stablizing in the step 1)
The calculation method of intensity B are as follows:
Input first: amplitude array P={ P0, P1, P2 ..., PN }, the spacing of each point is 0.48mm in array;Input
P0-PN value is sensor received signal intensity;
S1 step: one threshold value S of setting judges that Px-1<S&&Px>S whether there is, then returns to NULL if it does not exist;If it exists then
Taking the smallest x is X, and judges whether there is Py-1>S&&Py<S, and then taking the smallest y if it exists is Y, then takes the N to be if it does not exist
Y。
S2 step: taking Pxy={ Px ..., Py } according to X and Y, and acquiring the maximum value Pmax in Pxy is signal strength, apart from=
(max+1)*0.48;Through the above steps can proper roll paper when be full, the Pmax measured is A;When roll paper is sky,
The Pmax measured is B.
3. as described in claim 1 a kind of based on the intelligent roll paper of millimetre-wave radar and NB-IoT monitoring system, feature exists
In, in the step 2) by calculate obtain signal strength R, to signal strength R carry out Kalman filtering after currently believed
The step of number intensity C are as follows:
It inputs first: by calculating the signal strength R obtained in step 1);R is exactly above-mentioned Pmax value, indicates current signal
Intensity;
S1 step: it sets and surveys that R as measurement error, Q is systematic error, the result of the upper Kalman filtering of C_last, P_last are
Covariance;C_mid=C_last;P_mid=P_last+Q;
S2 step: KG is set as kalman gain, KG=P_mid/ (P_mid+R);
S3 step: this Kalman filtered results C=C_mid+KG* (R-C_mid) is returned;
S4 step: covariance P_now=(1-KG) * P_mid is calculated to obtain;
S5 step: covariance P_last=P_now is updated;
S6 step: Kalman filtered results C_last=C is updated;
C is current demand signal, can real-time update.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910006680.0A CN109799498B (en) | 2019-01-04 | 2019-01-04 | Intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910006680.0A CN109799498B (en) | 2019-01-04 | 2019-01-04 | Intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109799498A true CN109799498A (en) | 2019-05-24 |
CN109799498B CN109799498B (en) | 2020-08-28 |
Family
ID=66558557
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910006680.0A Expired - Fee Related CN109799498B (en) | 2019-01-04 | 2019-01-04 | Intelligent roll paper monitoring system based on millimeter wave radar and NB-IoT |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109799498B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110766067A (en) * | 2019-10-21 | 2020-02-07 | 浙江工业大学之江学院 | Millimeter wave radar material identification method based on machine learning |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003072984A (en) * | 2001-08-31 | 2003-03-12 | Ricoh Co Ltd | Paper sheet remaining amount detecting device and image forming device |
JP2010023979A (en) * | 2008-07-17 | 2010-02-04 | Ricoh Co Ltd | Paper feeder and image forming apparatus |
CN105807333A (en) * | 2014-12-27 | 2016-07-27 | 富泰华工业(深圳)有限公司 | Roll paper feeding device and paper use detection device thereof |
CN105928555A (en) * | 2016-04-20 | 2016-09-07 | 上海斐讯数据通信技术有限公司 | Roll paper balance display device |
CN205580393U (en) * | 2016-04-26 | 2016-09-14 | 深圳润之和科技有限公司 | Stock form and stock form length detecting system |
CN106388669A (en) * | 2015-07-27 | 2017-02-15 | 宇龙计算机通信科技(深圳)有限公司 | Toilet paper canister, toilet paper residual amount prompting device and method |
CN108627106A (en) * | 2018-04-17 | 2018-10-09 | 华东师范大学 | A kind of roll paper monitoring device and roll paper monitoring method |
CN108852122A (en) * | 2018-06-25 | 2018-11-23 | 广州凡而芳香日用品有限公司 | Automatic toilet paper dispenser |
-
2019
- 2019-01-04 CN CN201910006680.0A patent/CN109799498B/en not_active Expired - Fee Related
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003072984A (en) * | 2001-08-31 | 2003-03-12 | Ricoh Co Ltd | Paper sheet remaining amount detecting device and image forming device |
JP2010023979A (en) * | 2008-07-17 | 2010-02-04 | Ricoh Co Ltd | Paper feeder and image forming apparatus |
CN105807333A (en) * | 2014-12-27 | 2016-07-27 | 富泰华工业(深圳)有限公司 | Roll paper feeding device and paper use detection device thereof |
CN106388669A (en) * | 2015-07-27 | 2017-02-15 | 宇龙计算机通信科技(深圳)有限公司 | Toilet paper canister, toilet paper residual amount prompting device and method |
CN105928555A (en) * | 2016-04-20 | 2016-09-07 | 上海斐讯数据通信技术有限公司 | Roll paper balance display device |
CN205580393U (en) * | 2016-04-26 | 2016-09-14 | 深圳润之和科技有限公司 | Stock form and stock form length detecting system |
CN108627106A (en) * | 2018-04-17 | 2018-10-09 | 华东师范大学 | A kind of roll paper monitoring device and roll paper monitoring method |
CN108852122A (en) * | 2018-06-25 | 2018-11-23 | 广州凡而芳香日用品有限公司 | Automatic toilet paper dispenser |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110766067A (en) * | 2019-10-21 | 2020-02-07 | 浙江工业大学之江学院 | Millimeter wave radar material identification method based on machine learning |
CN110766067B (en) * | 2019-10-21 | 2023-07-21 | 浙江工业大学之江学院 | Millimeter wave radar material identification method based on machine learning |
Also Published As
Publication number | Publication date |
---|---|
CN109799498B (en) | 2020-08-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Falcone et al. | Two‐dimensional location of moving targets within local areas using WiFi‐based multistatic passive radar | |
CN102419437B (en) | Track-before-detect method based on flight path inspection | |
CN102866398B (en) | Method and system for performing moving-target identification by using frequency-modulated continuous-wave radar | |
CN109581546A (en) | Rainfall type identification method based on microwave link attenuation and polarization information | |
CN106646457A (en) | Person behavior detection method and device based on microwaves | |
CN105954741B (en) | A kind of Multi-Target Passive co-located methods based on more hypothesis quasi-Monte Carlos | |
CN107656247A (en) | Three-dimensional surveillance radar Target dots processing method based on AESA technical system | |
CN108693524A (en) | Multiple mobile object matching process based on Modulation Continuous Wave Radar and its system | |
WO2021248472A1 (en) | Target tracking method and apparatus based on ultra-wideband radar, device, and storage medium | |
KR102440355B1 (en) | Deep Learning-based Ocean Cluster Data Measurement System Using Sea Level Wave Reflectance | |
Malanowski et al. | Land and sea clutter from FM‐based passive bistatic radars | |
CN111751794B (en) | Radar power monitoring method | |
CN113391282A (en) | Human body posture recognition method based on radar multi-dimensional feature fusion | |
CN103954939A (en) | Smart-noise-jamming resistant method based on radar networking | |
CN108957415A (en) | The real-time Calibration Method and system of Analysis of Differential Reflectivity Factor Measured | |
NL2026449B1 (en) | Abnormal grain condition detection method based on radio tomographic imaging | |
CN208921859U (en) | A kind of electronic jamming device, unmanned plane and its self-defence protective device | |
CN110427878A (en) | A kind of sudden and violent signal recognition method of Rapid Radio and system | |
CN105301587A (en) | Bridge deformation monitoring method and system | |
CN111176271A (en) | Intelligent ship collision avoidance aid decision-making system based on shore-based radar and implementation method thereof | |
CN114814832A (en) | Millimeter wave radar-based real-time monitoring system and method for human body falling behavior | |
CN109061632A (en) | A kind of unmanned plane recognition methods | |
CN109799498A (en) | System is monitored based on the intelligent roll paper of millimetre-wave radar and NB-IoT | |
CN113608193A (en) | Radar multi-target distance and speed estimation method based on UNet | |
CN109164427A (en) | A kind of detection method of noise of radar receiver power |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20200828 Termination date: 20220104 |
|
CF01 | Termination of patent right due to non-payment of annual fee |