CN115824318A - Dynamic monitoring system and method for digital control of working state of pole erecting machine - Google Patents

Dynamic monitoring system and method for digital control of working state of pole erecting machine Download PDF

Info

Publication number
CN115824318A
CN115824318A CN202310168967.XA CN202310168967A CN115824318A CN 115824318 A CN115824318 A CN 115824318A CN 202310168967 A CN202310168967 A CN 202310168967A CN 115824318 A CN115824318 A CN 115824318A
Authority
CN
China
Prior art keywords
erecting machine
data
pole erecting
early warning
working state
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
Application number
CN202310168967.XA
Other languages
Chinese (zh)
Other versions
CN115824318B (en
Inventor
潘建兵
范瑞祥
辛建波
邓志祥
郝钰
吴栋军
戴宏亮
林生得
刘劲麟
徐在德
安义
余杰
胡柳
邓才波
戚沁雅
周安
彭元庆
郭亮
蔡木良
刘会荣
刘洋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanchang Kechen Electric Power Test And Research Co ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Original Assignee
Nanchang Kechen Electric Power Test And Research Co ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Nanchang Kechen Electric Power Test And Research Co ltd, State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Jiangxi Electric Power Co Ltd filed Critical Nanchang Kechen Electric Power Test And Research Co ltd
Priority to CN202310168967.XA priority Critical patent/CN115824318B/en
Publication of CN115824318A publication Critical patent/CN115824318A/en
Application granted granted Critical
Publication of CN115824318B publication Critical patent/CN115824318B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Component Parts Of Construction Machinery (AREA)
  • Image Processing (AREA)

Abstract

The invention relates to the field of engineering machinery monitoring, and discloses a dynamic monitoring system and a dynamic monitoring method for digital control of the working state of a pole erecting machine; according to the invention, an environment monitoring module is used for carrying out infrared detection on the surrounding environment to obtain detection data, meanwhile, a working condition monitoring module is used for monitoring the real-time working state of the pole erecting machine, an image display module and an early warning regulation and control module are used for receiving signal data transmitted by the environment monitoring module and instruction signals transmitted by the working condition monitoring module, a data analysis unit in the early warning regulation and control module carries out data analysis to judge the working state of a pole erecting machine gripper, and an early warning notification unit of the early warning regulation and control module sends out early warning notification according to the instruction signals of the data analysis unit. The invention can dynamically monitor the working state of the pole erecting machine, can timely find problems in the construction process, and realizes automation, real-time and intellectualization of the safety quality of the operation site.

Description

Dynamic monitoring system and method for digital control of working state of pole erecting machine
Technical Field
The invention relates to the field of engineering machinery monitoring, in particular to a dynamic monitoring system and method for digital control of the working state of a pole erecting machine.
Background
In order to prevent safety accidents and improve the driving and operation safety of a pole erecting machine, the surrounding environment is monitored by installing a vehicle-mounted SAR (Synthetic Aperture Radar), namely a Synthetic Aperture Radar, but the image characteristics of the SAR image in the prior art can be greatly changed along with different imaging parameters, imaging postures, ground object environments and the like, so that the target detection and identification of the SAR image become very difficult, and the safety accidents can be caused because the size of a human or an animal is small and the reflection data is limited and cannot be effectively sensed by the Radar.
In the normal driving or working process of the existing pole erecting machine, an early warning system can report by mistake and has great influence on driving or working, in the working process of the pole erecting machine, the working state adjustment completely depends on the experience of an operator, great potential safety hazards exist, and the working state and the construction quality of the pole erecting machine are not effectively monitored.
Disclosure of Invention
In order to overcome the defects, the invention aims to provide a dynamic monitoring system for digital control of the working state of a pole erecting machine, wherein an environment monitoring module is used for carrying out infrared detection on the surrounding environment to obtain detection data, meanwhile, a working condition monitoring module is used for monitoring the real-time working state of the pole erecting machine, an image display module and an early warning regulation and control module are used for receiving signal data transmitted by the environment monitoring module and instruction signals transmitted by the working condition monitoring module, a data analysis unit in the early warning regulation and control module is used for carrying out data analysis to judge the working state of a pole erecting machine gripper, and an early warning notification unit of the early warning regulation and control module sends out early warning notification according to the instruction signals of the data analysis unit; a dynamic monitoring method for digital management and control of the working state of the pole erecting machine is also provided.
The technical scheme for solving the technical problem is as follows: a dynamic monitoring system that is used for pole setting machine operating condition's digital management and control includes:
the environment monitoring module is used for carrying out infrared detection on the surrounding environment, processing detection signals and uploading the detection signals;
the working condition monitoring module is used for monitoring the real-time working state of the pole erecting machine, processing the monitoring data and uploading the processed monitoring data;
the image display module is used for receiving the signal data transmitted by the environment monitoring module and the instruction signal transmitted by the working condition monitoring module;
the early warning regulation and control module is used for receiving the signal data transmitted by the environment monitoring module and the instruction signal transmitted by the working condition monitoring module;
wherein the environmental monitoring module includes:
the infrared monitoring unit is used for carrying out infrared detection on the surrounding environment, converting the detected target image into an electric signal, processing the electric signal and uploading the electric signal to the image display module and the early warning regulation and control module;
the radar interference measurement unit is used for dynamically monitoring the working environment of the pole setting machine, filtering a linear frequency modulation continuous wave signal generated by the DDS, transmitting the signal to the signal receiving antenna through the signal transmitting antenna, and transmitting the filtered wave to the image display module and the early warning regulation and control module;
moreover, the early warning regulation and control module comprises:
the data analysis unit is used for analyzing and judging the working state of the gripper of the pole erecting machine;
the early warning notification unit is used for receiving the instruction signal of the data analysis unit and sending out an early warning notification;
the data analysis unit accesses the database through optimized data to analyze the data, judges whether the pole erecting machine gripper is at the limit position, judges that the pole erecting machine gripper carries out dangerous actions if the pole erecting machine gripper is at the limit position, and transmits the data to the early warning notification unit to send out early warning notification; if the pole erecting machine gripper is not located at the limit position, whether the pole erecting machine gripper is located in the vertical posture or not is judged when the pole erecting machine is erected, if the pole erecting machine gripper is not located in the vertical posture, the working state of the pole erecting machine is judged to be abnormal, and the data analysis unit transmits data into the early warning notification unit so as to send out early warning notification.
As an improvement of the invention, the radar interferometry unit comprises:
the signal transmitting link is used for transmitting a linear frequency modulation continuous wave signal;
a signal receiving chain for receiving signals;
a signal processor for signal processing;
and the servo controller is used for controlling signal transmission and signal reception.
As a further improvement of the present invention, the infrared monitoring unit includes:
the infrared detector is used for carrying out infrared detection on the surrounding environment and acquiring image information;
an optical imaging objective for optical imaging of image information;
and the optical machine scanning system is used for scanning the infrared thermal image of the detected object and converting the infrared thermal image into an electric signal.
As a further improvement of the present invention, the condition monitoring module includes:
the working parameter real-time acquisition unit is used for acquiring the working state and parameters of the pole erecting machine in real time;
and the data processing unit is used for receiving the data of the working parameter real-time acquisition unit, eliminating bad data in the twin data, and establishing an optimized model digital twin body with a deep neural network as a core so as to realize data interaction between the physical model and the twin body.
As a further improvement of the present invention, the image display module includes:
the two-dimensional positioning unit is used for positioning the pole erecting machine;
and the three-dimensional imaging unit is used for displaying the three-dimensional image of the real-time situation of the pole erecting machine.
A dynamic monitoring method for digital management and control of the working state of a pole erecting machine comprises the following steps:
s1, performing infrared detection on the surrounding environment through an environment monitoring module to obtain detection data, and monitoring the real-time working state of a pole erecting machine through a working condition monitoring module;
s2, receiving signal data transmitted by the environment monitoring module and an instruction signal transmitted by the working condition monitoring module by the image display module and the early warning regulation and control module;
and S3, a data analysis unit in the early warning regulation and control module analyzes data and judges the working state of the pole erecting machine gripper, and an early warning notification unit of the early warning regulation and control module sends out an early warning notification according to an instruction signal of the data analysis unit.
As a further improvement of the present invention, in step S3, the data analysis unit accesses the database through the optimized data to perform data analysis, and determines whether the pole erecting machine gripper is at the limit position, and if the pole erecting machine gripper is at the limit position, it determines that the pole erecting machine gripper is performing a dangerous action, and the data analysis unit transmits the data to the early warning notification unit to send an early warning notification; if the pole erecting machine gripper is not located at the limit position, whether the pole erecting machine gripper is located in the vertical posture or not is judged when the pole erecting machine is erected, if the pole erecting machine gripper is not located in the vertical posture, the working state of the pole erecting machine is judged to be abnormal, and the data analysis unit transmits data into the early warning notification unit so as to send out early warning notification.
As a further improvement of the present invention, in step S1, an infrared detector of the environment monitoring module performs infrared detection on the surrounding environment to acquire image information, an optical imaging objective lens performs optical imaging on the image information, and an optical mechanical scanning system scans an infrared thermal image of a detected object and converts the infrared thermal image into an electrical signal.
As a further improvement of the present invention, in step S1, a real-time working parameter acquisition unit in the working condition monitoring module acquires the working state and parameters of the pole erecting machine in real time, a data processing unit based on a digital twin technology rejects bad data in twin data, and an optimized model digital twin with a deep neural network as a core is established, so that data interaction between the physical model and the twin is enabled.
According to the invention, an environment monitoring module is used for carrying out infrared detection on the surrounding environment to obtain detection data, meanwhile, a working condition monitoring module is used for monitoring the real-time working state of a pole erecting machine, an image display module and an early warning regulation and control module are used for receiving signal data transmitted by the environment monitoring module and instruction signals transmitted by the working condition monitoring module, a data analysis unit in the early warning regulation and control module carries out data analysis to judge the working state of a pole erecting machine gripper, and an early warning notification unit of the early warning regulation and control module sends out an early warning notification according to the instruction signals of the data analysis unit; it has the following advantages:
(1) The environment monitoring module is provided with a radar interference measurement unit and an infrared monitoring unit to dynamically monitor the working environment of the pole erecting machine, and meanwhile, the problems of frequency spectrum leakage and frequency broadening caused by the discontinuity of the traditional FFT limited signal boundary and the problem that surrounding objects cannot be effectively monitored when the pole erecting machine is in a driving or working state are solved, and the safety of the pole erecting machine in driving and working is improved;
(2) The working parameters are dynamically monitored by using a digital twinning technology, so that the safety of the pole erecting machine in the working process is improved, data which cannot influence the normal running and working of the pole erecting machine is optimized, the influence of the early warning system on the pole erecting machine in the running or working process is reduced, and the working efficiency of the pole erecting machine is improved;
(3) The construction quality is dynamically monitored by using a digital twinning technology, so that problems occurring in the construction process can be found in time, and automation, real-time performance and intellectualization of the safety quality of an operation site are realized.
Drawings
For ease of illustration, the present invention is described in detail by the following preferred embodiments and the accompanying drawings.
FIG. 1 is a schematic flow chart of the present invention;
FIG. 2 is a block diagram of the operating principle of the condition monitoring module of the present invention;
FIG. 3 is a block diagram of the working principle of the early warning regulation module of the present invention;
FIG. 4 is a block diagram of the method steps of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1 to 3, the dynamic monitoring system for digital control of the working state of the pole erecting machine of the present invention includes:
the environment monitoring module is used for carrying out infrared detection on the surrounding environment, processing the detection signal and uploading the processed detection signal;
the working condition monitoring module is used for monitoring the real-time working state of the pole erecting machine, processing the monitoring data and uploading the processed monitoring data;
the image display module is used for receiving the signal data transmitted by the environment monitoring module and the instruction signal transmitted by the working condition monitoring module;
the early warning regulation and control module is used for receiving the signal data transmitted by the environment monitoring module and the instruction signal transmitted by the working condition monitoring module;
wherein, the environmental monitoring module includes:
the infrared monitoring unit is used for carrying out infrared detection on the surrounding environment, converting the detected target image into an electric signal, processing the electric signal and uploading the electric signal to the image display module and the early warning regulation and control module;
the radar interference measurement unit is used for dynamically monitoring the working environment of the pole erecting machine, filtering a linear frequency modulation continuous wave signal generated by the DDS, transmitting the signal to a signal receiving antenna through a signal transmitting antenna, and transmitting the filtered wave to the image display module and the early warning regulation and control module;
moreover, the early warning regulation and control module includes:
the data analysis unit is used for analyzing and judging the working state of the gripper of the pole erecting machine;
and the early warning notification unit is used for receiving the instruction signal of the data analysis unit and sending out early warning notification.
According to the invention, the environment monitoring module is used for carrying out infrared detection on the surrounding environment to obtain detection data, meanwhile, the real-time working state of the pole erecting machine is monitored through the working condition monitoring module, the image display module and the early warning regulation and control module are used for receiving signal data transmitted by the environment monitoring module and instruction signals transmitted by the working condition monitoring module, the data analysis unit in the early warning regulation and control module is used for carrying out data analysis to judge the working state of the pole erecting machine gripper, and the early warning notification unit of the early warning regulation and control module sends out early warning notification according to the instruction signals of the data analysis unit.
In the invention, the data analysis unit accesses the database through optimized data to perform data analysis, judges whether the pole erecting machine gripper is at the limit position, judges that the pole erecting machine gripper performs dangerous actions if the pole erecting machine gripper is at the limit position, and transmits the data to the early warning notification unit by the data analysis unit to send out early warning notification; if the pole erecting machine gripper is not in the limit position, whether the pole erecting machine gripper is in the vertical posture or not is judged when the pole erecting machine is used for pole erecting, if the pole erecting machine gripper is not in the vertical posture, the abnormal working state of the pole erecting machine is judged, the data analysis unit transmits the data to the early warning notification unit, and therefore the early warning notification is sent.
Within the present invention, an infrared monitoring unit comprises:
the infrared detector is used for carrying out infrared detection on the surrounding environment and acquiring image information;
an optical imaging objective for optical imaging of image information;
and the optical machine scanning system is used for scanning the infrared thermal image of the detected object and converting the infrared thermal image into an electric signal.
Specifically, when the pole erecting machine runs, the environment monitoring module receives infrared radiation energy distribution of a detected object by using an infrared detector, an optical imaging objective lens and an optical machine scanning system in an infrared monitoring unit, a graph is reflected on a photosensitive element of the infrared detector, an optical machine scanning system is arranged between the optical system and the infrared detector to scan infrared thermal images of the detected object and focus the infrared thermal images on the unit or a light splitting detector, and the detector converts the infrared radiation energy into an electric signal.
Within the present invention, a radar interferometry unit comprises:
the signal transmitting link is used for transmitting a linear frequency modulation continuous wave signal;
a signal receiving chain for receiving signals;
a signal processor for signal processing;
and the servo controller is used for controlling signal transmission and signal reception.
Specifically, when the pole erecting machine runs, a radar interference measurement unit in the environment monitoring module directly generates a Linear Frequency Modulation Continuous Wave (LFMCW) signal through a DDS, and the signal is transmitted outwards through a built-in antenna after a stray harmonic component is filtered by a filter. After the built-in receiving antenna receives the reflected signal, the LNA is used as a receiving link amplifier to amplify the received signal, then the filter filters the interference of other frequencies, the signal is transmitted to the signal processing and servo control module, and the processed data is uploaded to the image display module and the early warning regulation and control module.
The integral structure of a signal processor and a servo controller of the radar interferometry unit is a general branch structure, the signal processor and the servo controller are mainly completed through a chip (FPGA), all functional modules are instantiated and called through a top layer, port connection and data transmission among all the functional modules are achieved, all the modules operate under the control of a 100M synchronous clock, and strict synchronism is kept. The device comprises a top layer, a coherent accumulation module, a windowing filtering module and a Dechirping processing module, wherein the top layer is divided into the coherent accumulation module, the windowing filtering module and the Dechirping processing module, the coherent accumulation, windowing and apFFT functions are sequentially realized, and an AD configuration module is arranged below the top layer. The main functions of emission control, full-phase FFT, a digital filter, a clutter elimination algorithm, an SAR imaging algorithm, a GPS time keeping algorithm, electric control turntable servo control and the like are finally realized, and the radar interferometry technology uses full-phase fast Fourier transform (apFFT);
an amplitude spectrum with a small degree of leakage and a phase spectrum with a very intuitive phase characteristic are provided at the cost of a small increase in the amount of calculation.
Within the present invention, the condition monitoring module includes:
the working parameter real-time acquisition unit is used for acquiring the working state and parameters of the pole erecting machine in real time;
and the data processing unit based on the digital twin technology is used for receiving the data of the working parameter real-time acquisition unit, eliminating bad data in twin data, and establishing an optimized model digital twin body with a deep neural network as a core so as to realize data interaction between the physical model and the twin body.
Specifically, when receiving real-time working parameters, the working condition monitoring module selects related operation data and state data to be input into the sensing network to generate an initial twin data space, the data processing unit based on the digital twin technology dynamically identifies bad data in the generated twin data, eliminates the bad data, establishes an optimized model digital twin body with the deep neural network as a core, and achieves a data interaction function between the physical model and the twin body.
Bad data are screened through a deep neural network, and the training method of the deep neural network comprises the following steps:
1. initializing the weight network: setting information such as the distance between the pole erecting machine and an obstacle during driving, the gradient of the whole vehicle during operation, the verticality of the hand grab, the position of the hand grab and the like as data with high weight (the data with low weight is used for calculating bad data, and the data can be eliminated during training);
2. substituting the collected working condition data (as training data) into the weight matrix for calculation;
3. comparing the calculated data with the data in the dangerous state in the database;
4. intelligently adjusting the weight of the data by comparing the difference between the data, and repeating the training process;
5. and setting an error range, performing multiple training, finishing the training when the data are in the range, and outputting the data to the early warning regulation and control module.
Referring to fig. 2, virtual models mainly constructed by the working condition monitoring unit are virtual models physically mapped by the applied pole erecting machine and a pole erecting machine construction quality identification model; the motion range, motion action and operation track of the pole erecting machine can be formed in the pole erecting machine construction quality identification model, and construction quality such as perpendicularity of a gripper and the descending distance of a pole erecting machine is judged by analyzing the condition of the gripper of the pole erecting machine.
Because pole setting machine tongs belongs to space motion, if all carry out data analysis to each item data of every gesture, then analysis database capacity is too big, is unfavorable for real-time storage, inquiry and demonstration. The working condition monitoring module inputs the obtained data set into the digital twin body, trains the deep neural network, generates an instruction for optimizing useless information in the acquired real-time working parameters, feeds the instruction back to an image display module and an early warning regulation and control module in the physical system through a transmission layer, and simultaneously stores the data into a historical processing database so as to backtrack historical data when false alarm occurs in the subsequent twin process.
Within the present invention, an image display module includes:
the two-dimensional positioning unit is used for positioning the pole erecting machine;
and the three-dimensional imaging unit is used for displaying the three-dimensional image of the real-time situation of the pole erecting machine.
Specifically, after the data is processed by the environment monitoring module and the working condition monitoring module, the real-time situation of the pole erecting machine can be displayed in the image display module through the two-dimensional positioning unit and the three-dimensional imaging unit; the image display module uses the pole erecting machine as an origin to construct a space coordinate system.
Imaging for obstacles:
after data transmitted by the environment monitoring module and the working condition monitoring module are transmitted into the two-dimensional positioning unit, the distance from the pole erecting machine to the barrier is displayed on the display in real time.
The three-dimensional imaging unit positions the appearance of the barrier through the two-dimensional positioning unit to form a three-dimensional structure, and real-time display is performed on the display.
Imaging for the operating conditions:
after the data transmitted by the working condition monitoring module is transmitted into the two-dimensional positioning unit, the two-dimensional positioning unit positions the current structural positions of the pole erecting machine according to the working condition data, then a three-dimensional structure is formed by using the three-dimensional imaging unit, and the driving and working states of the pole erecting machine are displayed in real time.
As shown in fig. 4, the present invention further provides a dynamic monitoring method for digital management and control of the working state of a vertical rod, which includes the following steps:
s1, performing infrared detection on the surrounding environment through an environment monitoring module to obtain detection data, and monitoring the real-time working state of the pole erecting machine through a working condition monitoring module;
s2, the image display module and the early warning regulation and control module receive signal data transmitted by the environment monitoring module and instruction signals transmitted by the working condition monitoring module;
and S3, carrying out data analysis by a data analysis unit in the early warning regulation and control module to judge the working state of the pole erecting machine gripper, and sending out an early warning notice by an early warning notice unit of the early warning regulation and control module according to an instruction signal of the data analysis unit.
In step S1, an infrared detector of the infrared monitoring unit performs infrared detection on the surrounding environment to acquire image information, an optical imaging objective performs optical imaging on the image information, and an optical-mechanical scanning system scans an infrared thermal image of a detected object and converts the infrared thermal image into an electrical signal. The working parameter real-time acquisition unit of the working condition monitoring module acquires the working state and parameters of the pole setting machine in real time, the data processing unit based on the digital twin technology eliminates bad data in twin data, and an optimized model digital twin body with a deep neural network as a core is established, so that data interaction between a physical model and the twin body is realized, specifically, the environment monitoring module utilizes the radar and infrared functions to monitor living objects, such as people around during driving or construction, and after obstacles which possibly threaten driving are screened out through the working condition monitoring module, dangerous imaging is carried out aiming at the obstacles which possibly generate danger during construction, and imaging aiming at the pole setting machine is carried out, such as displaying the position of a hand grip.
In the step S3, the data analysis unit accesses the database through the optimized data to analyze the data, judges whether the pole erecting machine gripper is in the limit position, judges that the pole erecting machine gripper is performing dangerous actions if the pole erecting machine gripper is in the limit position, and transmits the data to the early warning notification unit to send out early warning notification; if the pole erecting machine gripper is not in the limit position, whether the pole erecting machine gripper is in the vertical posture or not is judged when the pole erecting machine is used for pole erecting, if the pole erecting machine gripper is not in the vertical posture, the working state of the pole erecting machine is judged to be abnormal, the data analysis unit transmits data into the early warning notification unit, and therefore an early warning notification is sent.
Specifically, after the data of the environment monitoring module is transmitted into the early warning regulation and control module, the data analysis module is used for comprehensively analyzing the shape, size, motion state and the like of an object to judge whether barriers exist around the pole erecting machine, and if the distance between the pole erecting machine and the barriers is smaller than the set safe distance, the early warning notification module can send out early warning notification.
Referring to fig. 3, after the data of the working condition monitoring module is transmitted into the early warning regulation and control module, a data analysis unit in the early warning regulation and control module accesses a database through optimized data to analyze the data, judges whether a gripper of the pole erecting machine is in a limit position, judges that the gripper is performing dangerous actions if the gripper is in the limit position, transmits the data into an early warning notification module, and sends out an early warning notification; if not, judging whether the gripper is in a vertical posture or not when the poling machine is poling, if not, judging that the working state of the poling machine is abnormal, transmitting data into an early warning notification module, and sending out an early warning notification; if so, the gripper is displaced downwards by a distance according to the pole erecting of the telegraph pole to judge whether the buried depth of the telegraph pole meets the pole erecting standard, and if not, the data are transmitted to an early warning notification module to send out an early warning notification.
The above description is intended to be illustrative of the preferred embodiment of the present invention and should not be taken as limiting the invention, but rather, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Claims (9)

1. A dynamic monitoring system for pole setting machine operating condition's digital management and control, its characterized in that includes:
the environment monitoring module is used for carrying out infrared detection on the surrounding environment, processing detection signals and uploading the detection signals;
the working condition monitoring module is used for monitoring the real-time working state of the pole erecting machine, processing the monitoring data and uploading the processed monitoring data;
the image display module is used for receiving the signal data transmitted by the environment monitoring module and the instruction signal transmitted by the working condition monitoring module;
the early warning regulation and control module is used for receiving the signal data transmitted by the environment monitoring module and the instruction signal transmitted by the working condition monitoring module;
wherein the environmental monitoring module includes:
the infrared monitoring unit is used for carrying out infrared detection on the surrounding environment, converting the detected target image into an electric signal, processing the electric signal and uploading the electric signal to the image display module and the early warning regulation and control module;
the radar interference measurement unit is used for dynamically monitoring the working environment of the pole setting machine, filtering a linear frequency modulation continuous wave signal generated by the DDS, transmitting the signal to the signal receiving antenna through the signal transmitting antenna, and transmitting the filtered wave to the image display module and the early warning regulation and control module;
moreover, the early warning regulation and control module comprises:
the data analysis unit is used for analyzing and judging the working state of the pole erecting machine gripper;
the early warning notification unit is used for receiving the instruction signal of the data analysis unit and sending out an early warning notification;
the data analysis unit accesses the database through the optimized data to analyze the data, judges whether the pole erecting machine gripper is in a limit position, judges that the pole erecting machine gripper performs dangerous actions if the pole erecting machine gripper is in the limit position, and transmits the data to the early warning notification unit to send out an early warning notification; if the pole erecting machine gripper is not located at the limit position, whether the pole erecting machine gripper is located in the vertical posture or not is judged when the pole erecting machine is erected, if the pole erecting machine gripper is not located in the vertical posture, the working state of the pole erecting machine is judged to be abnormal, and the data analysis unit transmits data into the early warning notification unit so as to send out early warning notification.
2. The dynamic monitoring system for digital management of the working state of a pole erecting machine of claim 1, wherein the radar interferometry unit comprises:
the signal transmitting link is used for transmitting a linear frequency modulation continuous wave signal;
a signal receiving chain for receiving signals;
a signal processor for signal processing;
and the servo controller is used for controlling signal transmission and signal reception.
3. The dynamic monitoring system for digital management and control of the working state of a pole erecting machine according to claim 2, wherein the infrared monitoring unit comprises:
the infrared detector is used for carrying out infrared detection on the surrounding environment and acquiring image information;
an optical imaging objective for optical imaging of image information;
and the optical machine scanning system is used for scanning the infrared thermal image of the detected object and converting the infrared thermal image into an electric signal.
4. The dynamic monitoring system for digital management and control of operating conditions of pole erecting machines of claim 3, wherein the operating condition monitoring module comprises:
the working parameter real-time acquisition unit is used for acquiring the working state and parameters of the pole erecting machine in real time;
and the data processing unit is used for receiving the data of the working parameter real-time acquisition unit, eliminating bad data in the twin data, and establishing an optimized model digital twin body with a deep neural network as a core so as to realize data interaction between the physical model and the twin body.
5. The dynamic monitoring system for the digital management and control of the working state of a pole erecting machine according to claim 4, wherein said image display module comprises:
the two-dimensional positioning unit is used for positioning the pole erecting machine;
and the three-dimensional imaging unit is used for displaying three-dimensional images of the real-time situation of the pole erecting machine.
6. A dynamic monitoring method for digital management and control of the working state of a pole erecting machine is characterized by comprising the following steps:
s1, performing infrared detection on the surrounding environment through an environment monitoring module to obtain detection data, and monitoring the real-time working state of the pole erecting machine through a working condition monitoring module;
s2, receiving signal data transmitted by the environment monitoring module and an instruction signal transmitted by the working condition monitoring module by the image display module and the early warning regulation and control module;
and S3, carrying out data analysis by a data analysis unit in the early warning regulation and control module to judge the working state of the pole erecting machine gripper, and sending out an early warning notice by an early warning notice unit of the early warning regulation and control module according to an instruction signal of the data analysis unit.
7. The dynamic monitoring method for the digital management and control of the working state of the pole erecting machine according to claim 6, wherein in step S3, the data analysis unit accesses the database through the optimized data to perform data analysis, judges whether the pole erecting machine gripper is in a limit position, judges that the pole erecting machine gripper is performing dangerous actions if the pole erecting machine gripper is in the limit position, and transmits the data to the early warning notification unit by the data analysis unit to send out an early warning notification; if the pole erecting machine gripper is not located at the limit position, whether the pole erecting machine gripper is located in the vertical posture or not is judged when the pole erecting machine is erected, if the pole erecting machine gripper is not located in the vertical posture, the working state of the pole erecting machine is judged to be abnormal, and the data analysis unit transmits data into the early warning notification unit so as to send out early warning notification.
8. The dynamic monitoring method for the digital management and control of the working state of the pole erecting machine as recited in claim 7, wherein in the step S1, an infrared detector of the environment monitoring module performs infrared detection on the surrounding environment to acquire image information, an optical imaging objective lens performs optical imaging on the image information, and an optical machine scanning system scans infrared thermal images of an object to be measured and converts the infrared thermal images into electric signals.
9. The dynamic monitoring method for the digital management and control of the working state of the pole erecting machine according to claim 8, wherein in step S1, a working parameter real-time acquisition unit in the working condition monitoring module acquires the working state and parameters of the pole erecting machine in real time, a data processing unit based on a digital twin technology rejects bad data in twin data, and an optimized model digital twin with a deep neural network as a core is established, so that data interaction between a physical model and the twin is realized.
CN202310168967.XA 2023-02-27 2023-02-27 Dynamic monitoring system and method for digital control of working state of pole erecting machine Active CN115824318B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310168967.XA CN115824318B (en) 2023-02-27 2023-02-27 Dynamic monitoring system and method for digital control of working state of pole erecting machine

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310168967.XA CN115824318B (en) 2023-02-27 2023-02-27 Dynamic monitoring system and method for digital control of working state of pole erecting machine

Publications (2)

Publication Number Publication Date
CN115824318A true CN115824318A (en) 2023-03-21
CN115824318B CN115824318B (en) 2023-08-15

Family

ID=85522272

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310168967.XA Active CN115824318B (en) 2023-02-27 2023-02-27 Dynamic monitoring system and method for digital control of working state of pole erecting machine

Country Status (1)

Country Link
CN (1) CN115824318B (en)

Citations (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7089114B1 (en) * 2003-07-03 2006-08-08 Baojia Huang Vehicle collision avoidance system and method
JP2006287884A (en) * 2005-03-31 2006-10-19 Ara Software:Kk Intelligent video monitoring system
US20140192184A1 (en) * 2011-06-09 2014-07-10 Guangzhou Sat Infrared Technology Co., Ltd. Forest fire early-warning system and method based on infrared thermal imaging technology
CN104506804A (en) * 2014-12-22 2015-04-08 安徽三联交通应用技术股份有限公司 Device and method for monitoring abnormal behavior of motor vehicle on expressway
CN105329776A (en) * 2015-12-04 2016-02-17 中国安全生产科学研究院 UWB-based crane working holographic monitoring and early-warning system
CN205653066U (en) * 2016-05-16 2016-10-19 无锡石油化工起重机有限公司 Take gantry crane of windrow dolly linkage
CN107399341A (en) * 2016-05-18 2017-11-28 苏州华兴致远电子科技有限公司 On-board running Environmental safety supervision system and method
CN110406540A (en) * 2019-06-28 2019-11-05 天津大学 A kind of bus driver's safety monitoring system
CN110816551A (en) * 2019-11-28 2020-02-21 广东新时空科技股份有限公司 Vehicle transportation safety initiative prevention and control system
CN210166498U (en) * 2019-04-09 2020-03-20 北京弋宸时代科技有限公司 3D visual radar system
CN212353684U (en) * 2020-07-10 2021-01-15 中铁第四勘察设计院集团有限公司 Contact net pillar assemblage intelligence arm operation car group
CN112419204A (en) * 2021-01-25 2021-02-26 江苏德劭信息科技有限公司 Driving intelligent control method based on improved echo state network
CN112560263A (en) * 2020-12-11 2021-03-26 太原理工大学 Mobile robot state monitoring and maintenance system based on digital twins
CN214424175U (en) * 2020-11-05 2021-10-19 国网江西省电力有限公司电力科学研究院 Rural power distribution network integrated pole setting device
CN113697670A (en) * 2021-10-24 2021-11-26 江苏思克赛斯机械制造有限公司 Intelligent management and control method and system for crane equipment
CN215064791U (en) * 2021-06-04 2021-12-07 南京世乾电气设备有限公司 Device with real-time data monitoring and transmitting functions
CN216074856U (en) * 2021-11-13 2022-03-18 太原科技大学 Pole setting device based on wisdom traffic
CN114220296A (en) * 2021-12-20 2022-03-22 四川公路桥梁建设集团有限公司 Intelligent active safety protection system for engineering vehicle machinery
CN114485570A (en) * 2022-02-07 2022-05-13 中交路桥科技有限公司 Intelligent monitoring, measuring and early warning system and method for construction safety of tunnel under construction
CN114488907A (en) * 2022-02-15 2022-05-13 深圳海星智驾科技有限公司 Engineering machinery domain controller, engineering machinery control system and engineering machinery
CN114547759A (en) * 2022-04-21 2022-05-27 中铁四局集团第三建设有限公司 Creeping formwork construction monitoring method, creeping formwork construction monitoring system and computer readable storage medium
CN114707227A (en) * 2022-04-28 2022-07-05 水利部南京水利水文自动化研究所 Dam safety early warning and warning method and system based on digital twins
CN114757088A (en) * 2022-03-08 2022-07-15 北京中电飞华通信有限公司 Energy equipment monitoring system and method based on digital twinning
US20220248981A1 (en) * 2019-06-25 2022-08-11 Gree Electric Appliances, Inc. Of Zhuhai Method and System for Monitoring Human Movement Posture, Human Posture Monitor, Storage Medium and Processor
CN114911206A (en) * 2022-05-11 2022-08-16 南京业恒达智能系统股份有限公司 Intelligent prediction maintenance system of coal preparation plant based on Internet of things
CN115081324A (en) * 2022-06-20 2022-09-20 中国铁建重工集团股份有限公司 Performance prediction optimization and fault diagnosis system and method for underground engineering equipment
CN115165266A (en) * 2022-07-22 2022-10-11 三峡大学 Digital twinning-based contactless tower deflection monitoring system
CN115457479A (en) * 2022-09-28 2022-12-09 江苏省特种设备安全监督检验研究院 Crane operation monitoring method and system based on digital twinning
CN115597659A (en) * 2022-09-21 2023-01-13 山东锐翊电力工程有限公司(Cn) Intelligent safety management and control method for transformer substation

Patent Citations (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7089114B1 (en) * 2003-07-03 2006-08-08 Baojia Huang Vehicle collision avoidance system and method
JP2006287884A (en) * 2005-03-31 2006-10-19 Ara Software:Kk Intelligent video monitoring system
US20140192184A1 (en) * 2011-06-09 2014-07-10 Guangzhou Sat Infrared Technology Co., Ltd. Forest fire early-warning system and method based on infrared thermal imaging technology
CN104506804A (en) * 2014-12-22 2015-04-08 安徽三联交通应用技术股份有限公司 Device and method for monitoring abnormal behavior of motor vehicle on expressway
CN105329776A (en) * 2015-12-04 2016-02-17 中国安全生产科学研究院 UWB-based crane working holographic monitoring and early-warning system
CN205653066U (en) * 2016-05-16 2016-10-19 无锡石油化工起重机有限公司 Take gantry crane of windrow dolly linkage
CN107399341A (en) * 2016-05-18 2017-11-28 苏州华兴致远电子科技有限公司 On-board running Environmental safety supervision system and method
CN210166498U (en) * 2019-04-09 2020-03-20 北京弋宸时代科技有限公司 3D visual radar system
US20220248981A1 (en) * 2019-06-25 2022-08-11 Gree Electric Appliances, Inc. Of Zhuhai Method and System for Monitoring Human Movement Posture, Human Posture Monitor, Storage Medium and Processor
CN110406540A (en) * 2019-06-28 2019-11-05 天津大学 A kind of bus driver's safety monitoring system
CN110816551A (en) * 2019-11-28 2020-02-21 广东新时空科技股份有限公司 Vehicle transportation safety initiative prevention and control system
CN212353684U (en) * 2020-07-10 2021-01-15 中铁第四勘察设计院集团有限公司 Contact net pillar assemblage intelligence arm operation car group
CN214424175U (en) * 2020-11-05 2021-10-19 国网江西省电力有限公司电力科学研究院 Rural power distribution network integrated pole setting device
CN112560263A (en) * 2020-12-11 2021-03-26 太原理工大学 Mobile robot state monitoring and maintenance system based on digital twins
CN112419204A (en) * 2021-01-25 2021-02-26 江苏德劭信息科技有限公司 Driving intelligent control method based on improved echo state network
CN215064791U (en) * 2021-06-04 2021-12-07 南京世乾电气设备有限公司 Device with real-time data monitoring and transmitting functions
CN113697670A (en) * 2021-10-24 2021-11-26 江苏思克赛斯机械制造有限公司 Intelligent management and control method and system for crane equipment
CN216074856U (en) * 2021-11-13 2022-03-18 太原科技大学 Pole setting device based on wisdom traffic
CN114220296A (en) * 2021-12-20 2022-03-22 四川公路桥梁建设集团有限公司 Intelligent active safety protection system for engineering vehicle machinery
CN114485570A (en) * 2022-02-07 2022-05-13 中交路桥科技有限公司 Intelligent monitoring, measuring and early warning system and method for construction safety of tunnel under construction
CN114488907A (en) * 2022-02-15 2022-05-13 深圳海星智驾科技有限公司 Engineering machinery domain controller, engineering machinery control system and engineering machinery
CN114757088A (en) * 2022-03-08 2022-07-15 北京中电飞华通信有限公司 Energy equipment monitoring system and method based on digital twinning
CN114547759A (en) * 2022-04-21 2022-05-27 中铁四局集团第三建设有限公司 Creeping formwork construction monitoring method, creeping formwork construction monitoring system and computer readable storage medium
CN114707227A (en) * 2022-04-28 2022-07-05 水利部南京水利水文自动化研究所 Dam safety early warning and warning method and system based on digital twins
CN114911206A (en) * 2022-05-11 2022-08-16 南京业恒达智能系统股份有限公司 Intelligent prediction maintenance system of coal preparation plant based on Internet of things
CN115081324A (en) * 2022-06-20 2022-09-20 中国铁建重工集团股份有限公司 Performance prediction optimization and fault diagnosis system and method for underground engineering equipment
CN115165266A (en) * 2022-07-22 2022-10-11 三峡大学 Digital twinning-based contactless tower deflection monitoring system
CN115597659A (en) * 2022-09-21 2023-01-13 山东锐翊电力工程有限公司(Cn) Intelligent safety management and control method for transformer substation
CN115457479A (en) * 2022-09-28 2022-12-09 江苏省特种设备安全监督检验研究院 Crane operation monitoring method and system based on digital twinning

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
丁恩杰;俞啸;廖玉波;吴传龙;陈伟;郁万里;王威;: "基于物联网的矿山机械设备状态智能感知与诊断", 煤炭学报, no. 06 *
姚江 等: "基于SSD算法的矿用电铲铲斗健康监测方法", 中国矿业 *
宋学官 等: "重大装备形性一体化数字孪生关键技术", 机械工程学报, vol. 58, no. 10 *

Also Published As

Publication number Publication date
CN115824318B (en) 2023-08-15

Similar Documents

Publication Publication Date Title
CN110908370B (en) Unmanned inspection task planning method and system for thermal power plant
CN106593534B (en) A kind of intelligent tunnel construction safety monitoring system
CN112946628A (en) Road running state detection method and system based on radar and video fusion
CN102147290A (en) Infrared imaging temperature-monitoring method and system
CN207963788U (en) A kind of monitoring of slope of highway safe and intelligent and prior-warning device based on depth camera
CN110889350A (en) Line obstacle monitoring and alarming system and method based on three-dimensional imaging
CN103235562A (en) Patrol-robot-based comprehensive parameter detection system and method for substations
CN110658830A (en) Power plant inspection system and control method thereof
CN206194076U (en) Substation equipment detecting system
CN106600887A (en) Video monitoring linkage system based on substation patrol robot and method thereof
CN111634636B (en) Full-automatic material taking control system of bucket wheel machine
CN112731086A (en) Method and system for comprehensively inspecting electric power equipment
CN207268846U (en) Electric inspection process robot
CN113988518A (en) Distribution network equipment health diagnosis method for multi-source information fusion analysis
CN207751939U (en) A kind of Container inspection system instrument
CN116704377A (en) Non-inductive personnel positioning method and system based on digital twin model
CN115272560B (en) Substation equipment hidden danger positioning method and system based on three-dimensional sound field cloud picture
CN210605473U (en) Power plant inspection system
CN115793649A (en) Automatic cable trench inspection device and inspection method
CN110164071B (en) Security protection system
CN116667531A (en) Acousto-optic-electric collaborative inspection method and device based on digital twin transformer substation
CN109019349B (en) Fault detection method, detector, computer storage medium and crane
CN213518003U (en) A patrol and examine robot and system of patrolling and examining for airport pavement
CN115824318B (en) Dynamic monitoring system and method for digital control of working state of pole erecting machine
CN111127436B (en) Displacement detection early warning method for bridge

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