CN116576921A - Digital parking space monitoring and management system and method based on artificial intelligence - Google Patents
Digital parking space monitoring and management system and method based on artificial intelligence Download PDFInfo
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- CN116576921A CN116576921A CN202310828680.5A CN202310828680A CN116576921A CN 116576921 A CN116576921 A CN 116576921A CN 202310828680 A CN202310828680 A CN 202310828680A CN 116576921 A CN116576921 A CN 116576921A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title abstract description 21
- 238000001514 detection method Methods 0.000 claims abstract description 176
- 230000002159 abnormal effect Effects 0.000 claims abstract description 43
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000007726 management method Methods 0.000 claims description 25
- 230000001681 protective effect Effects 0.000 claims description 13
- 238000012800 visualization Methods 0.000 claims description 7
- 238000010835 comparative analysis Methods 0.000 claims description 6
- 238000001816 cooling Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 10
- 230000004044 response Effects 0.000 abstract description 3
- 238000012423 maintenance Methods 0.000 description 5
- 238000012795 verification Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01F—ADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
- E01F13/00—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions
- E01F13/04—Arrangements for obstructing or restricting traffic, e.g. gates, barricades ; Preventing passage of vehicles of selected category or dimensions movable to allow or prevent passage
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to a digital parking space monitoring management system and method based on artificial intelligence, which belong to the technical field of electric digital data processing, and are characterized in that a guard rail lifting detection device, a guard rail shaking detection device, a guard rail sliding guide device, a guy rope state detection device and a lifting motor detection device are orderly matched for starting, so that most detection devices in the system are prevented from being in an invalid detection state for a long time, and a large amount of invalid detection data are prevented from being collected to occupy storage resources of the system; when abnormal conditions exist in the lifting process of the guard rail are detected, if the guard rail is out of control and falls freely, the falling direction of the guard rail can be fixed through the guard rail sliding guide device, so that collision accidents and the like on vehicles parked below the guard rail can be avoided; the rail guard shake detection device, the guy rope state detection device and the lifting motor detection device can be used for accurately classifying abnormal conditions, so that follow-up management personnel can quickly conduct emergency management, and emergency response time is shortened.
Description
Technical Field
The invention belongs to the technical field of electric digital data processing, and particularly relates to a digital parking space monitoring and management system and method based on artificial intelligence.
Background
The traditional parking space management mode lacks the standardization after the vehicle enters the parking place, is difficult to avoid collision between vehicles in the driving process, and the attribution of the parking space is ambiguous, and the situation that the parking space is contended or one vehicle occupies a plurality of parking spaces easily occurs during parking, so that unnecessary disputes are caused. The intelligent operation and maintenance management scheme of the digitalized parking space is proposed at the present stage and comprises a verification channel, a parking space management device, a monitoring module and a server; the verification channel carries out license plate recognition and charging, and issues and recovers a user verification card; the parking space management device comprises a protective guard and a lifting device, wherein the lifting device is connected with a verification module, armatures are arranged at four corners of the bottom surface of the protective guard, and locking electromagnet grooves corresponding to the armatures of the parking space lines are formed; a guy rope is also connected between the lifting device and the guard rail; the monitoring module monitors the parking space of the right opposite lifting device; the server is provided with a processing module and a user database; the protection of the fixed guard rail by matching the armature with the locking electromagnet groove during parking is realized, and the guard rail is lifted by verifying a user through the user verification card, so that the parking space is prevented from being occupied by other vehicles before a vehicle owner arrives, and disputes are avoided; after the guard rail is put down, the safety of the vehicle is improved, and the standardization of the parking process is ensured.
In the application process, when the service cycle of the guard rail is long, even if related operation and maintenance personnel can periodically overhaul the guard rail, the guard rail can still be out of order when lifting in an empty window period for overhaul, and collision accidents and the like are caused to vehicles parked below the guard rail; at present, a related monitoring management method is not designed for the situation.
Therefore, at present, a digital parking space monitoring and managing method based on artificial intelligence needs to be designed to solve the problems.
Disclosure of Invention
The invention aims to provide a digital parking space monitoring and management system and method based on artificial intelligence, which are used for solving the technical problems in the prior art, and the invention discovers that when the service period of a guard rail is long, even if relevant operation and maintenance personnel can periodically overhaul the guard rail, in an overhaul empty window period, the guard rail can still be out of order when lifting, and collision accidents and the like are caused to vehicles parked below the guard rail; at present, a related monitoring management method is not designed for the situation.
In order to achieve the above purpose, the technical scheme of the invention is as follows:
the digital parking space monitoring and management system based on the artificial intelligence comprises a guard rail lifting detection device, a guard rail shaking detection device, a guard rail sliding guide device, a guy rope state detection device, a lifting motor detection device and a main control device;
the main control device is respectively connected with the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device;
the guard rail lifting detection device is used for detecting whether the guard rail is lifted or not;
the guard rail shaking detection device is used for detecting whether the guard rail shakes abnormally or not;
the guard rail sliding guide device is used for providing fixed guide when the guard rail slides down;
the inhaul cable state detection device is used for detecting whether the running state of the inhaul cable is abnormal or not;
the lifting motor detection device is used for detecting whether the running state of the lifting motor is abnormal or not;
the main control device is used for controlling the opening and closing of the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device and is also used for feeding abnormal data back to the intelligent terminal.
Further, the main control device controls the guard rail lifting detection device to be normally open, and controls the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device to be normally closed;
when the guard rail lifting detection device detects that the guard rail is lifted, the main control device controls the guard rail shaking detection device to be started;
when the guard rail shake detection device detects that the guard rail shakes abnormally, the main control device controls the guard rail slide guiding device and the inhaul cable state detection device to be opened;
when the inhaul cable state detection device detects that the operation state of the inhaul cable is not abnormal, the main control device controls the lifting motor detection device to be started.
Further, the guard rail lifting detection device comprises a first controller, an infrared detection unit and an infrared detection position adjustment unit, wherein the first controller is respectively connected with the infrared detection unit, the infrared detection position adjustment unit and the main control device;
the infrared detection unit is used for detecting whether the protective guard ascends and descends;
the infrared detection position adjusting unit is used for adjusting the infrared detection unit to a first preset position or a second preset position;
the infrared detection unit is used for detecting whether the protective fence ascends or not when being positioned at the first preset position; and the infrared detection unit is used for detecting whether the protective fence descends when being positioned at the second preset position.
Further, the guard rail shaking detection device comprises a vibration sensor, a nine-axis sensor, a second controller and a memory, wherein the second controller is respectively connected with the vibration sensor, the nine-axis sensor, the memory and the main control device;
the vibration sensor is used for detecting real-time vibration data of the guard rail;
the nine-axis sensor is used for detecting real-time attitude data of the guard rail;
the memory is used for storing preset vibration data and preset posture data of the guard rail;
the second controller performs comparative analysis on the real-time vibration data and the preset vibration data, and performs comparative analysis on the real-time gesture data and the preset gesture data; if the real-time vibration data is not matched with the preset vibration data and the real-time gesture data is not matched with the preset gesture data, the second controller feeds back to the main control device that the guard rail is abnormally rocked.
Further, the guy rope state detection device comprises an image acquisition unit, an image processing unit and a third controller, wherein the third controller is respectively connected with the image acquisition unit, the image processing unit and the main control device;
the image acquisition unit is used for acquiring real-time image data when the inhaul cable runs;
the image processing unit is used for comparing and analyzing the real-time image data with preset image data, if the real-time image data and the preset image data are not matched, the third controller feeds back the running state of the inhaul cable to the main control device to be abnormal, otherwise, the third controller feeds back the running state of the inhaul cable to the main control device to be not abnormal.
Further, the lifting motor detection device comprises a circuit fault detection unit, a fan abnormal sound detection unit and a fourth controller, wherein the fourth controller is respectively connected with the circuit fault detection unit, the fan abnormal sound detection unit and the main control device;
the circuit fault detection unit is used for detecting whether a circuit of the lifting motor is faulty or not;
the fan abnormal sound detection unit is used for detecting whether the cooling fan of the lifting motor fails.
Further, the intelligent data center and the digital visualization device are respectively connected with the main control device.
According to the digital parking space monitoring and managing method based on the artificial intelligence, the digital parking space monitoring and managing system based on the artificial intelligence is adopted for parking space monitoring and managing.
Compared with the prior art, the invention has the following beneficial effects:
one of the beneficial effects of this scheme lies in, through the cooperation scheme between rail guard lift detection device, rail guard rock detection device, rail guard landing guider, cable state detection device, the elevator motor detection device, still probably break down when the rail guard goes up and down in the sky window period of maintenance, carries out real-time supervision to the vehicle that parks below it causes "abnormal conditions such as collision accident", realizes the accurate classification of abnormal conditions, is convenient for subsequent emergency management. By orderly matching and starting the devices, most detection devices in the system can be prevented from being in an invalid detection state for a long time, and the occupation of storage resources and the like of the system due to the collection of a large amount of invalid detection data can be avoided; when abnormal conditions exist in the lifting process of the guard rail, if the guard rail is out of control and falls freely, the falling direction of the guard rail can be fixed through the guard rail sliding guide device, so that collision accidents and the like on vehicles parked below the guard rail can be avoided; and moreover, the rail guard shake detection device, the guy rope state detection device and the lifting motor detection device can be used for accurately classifying abnormal conditions of three links, so that follow-up related management personnel can conveniently and rapidly conduct emergency management, and the emergency response time is shortened.
Drawings
Fig. 1 is a schematic system configuration diagram of the embodiment.
Fig. 2 is a schematic diagram of a system optimization structure according to an embodiment of the present invention.
Detailed Description
For the purpose of making the technical solution and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the invention, i.e., the embodiments described are merely some, but not all, of the embodiments of the invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
As shown in fig. 1, a digital parking space monitoring and management system based on artificial intelligence is provided, which comprises a guard rail lifting detection device, a guard rail shaking detection device, a guard rail sliding guiding device, a guy rope state detection device, a lifting motor detection device and a main control device;
the main control device is respectively connected with the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device;
the guard rail lifting detection device is used for detecting whether the guard rail is lifted or not;
the guard rail shaking detection device is used for detecting whether the guard rail shakes abnormally or not;
the guard rail sliding guide device is used for providing fixed guide when the guard rail slides down;
the inhaul cable state detection device is used for detecting whether the running state of the inhaul cable is abnormal or not;
the lifting motor detection device is used for detecting whether the running state of the lifting motor is abnormal or not;
the main control device is used for controlling the opening and closing of the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device, and is also used for feeding abnormal data back to the intelligent terminal, so that remote data transmission and the like are realized.
In the scheme, through the cooperation scheme among rail guard lift detection device, rail guard shake detection device, rail guard landing guider, cable state detection device, elevator motor detection device, still probably break down when the rail guard goes up and down in the empty window period of maintenance, "abnormal conditions such as collision accident are carried out real-time supervision to the vehicle that parks below it", realize the accurate classification of abnormal conditions, be convenient for subsequent emergency management.
Further, as shown in fig. 2, the main control device controls the guard rail lifting detection device to be normally opened, and controls the guard rail shaking detection device, the guard rail sliding guide device, the guy rope state detection device and the lifting motor detection device to be normally closed;
when the guard rail lifting detection device detects that the guard rail is lifted, the main control device controls the guard rail shaking detection device to be started;
when the guard rail shake detection device detects that the guard rail shakes abnormally, the main control device controls the guard rail slide guiding device and the inhaul cable state detection device to be opened;
when the inhaul cable state detection device detects that the operation state of the inhaul cable is not abnormal, the main control device controls the lifting motor detection device to be started.
In the scheme, the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device are orderly matched for starting, so that most detection devices in the system are prevented from being in an invalid detection state for a long time, and the system storage resources and the like can be prevented from being occupied due to the fact that a large amount of invalid detection data are collected; when abnormal conditions exist in the lifting process of the guard rail, if the guard rail is out of control and falls freely, the falling direction of the guard rail can be fixed through the guard rail sliding guide device, so that collision accidents and the like on vehicles parked below the guard rail can be avoided; and moreover, the rail guard shake detection device, the guy rope state detection device and the lifting motor detection device can be used for accurately classifying abnormal conditions of three links, so that follow-up related management personnel can conveniently and rapidly conduct emergency management, and the emergency response time is shortened.
Further, the guard rail lifting detection device comprises a first controller, an infrared detection unit and an infrared detection position adjustment unit, wherein the first controller is respectively connected with the infrared detection unit, the infrared detection position adjustment unit and the main control device;
the infrared detection unit is used for detecting whether the protective guard ascends and descends;
the infrared detection position adjusting unit is used for adjusting the infrared detection unit to a first preset position or a second preset position;
the infrared detection unit is used for detecting whether the protective fence ascends or not when being positioned at the first preset position; and the infrared detection unit is used for detecting whether the protective fence descends when being positioned at the second preset position.
In the scheme, if the infrared detection unit is fixedly arranged at a certain position, the real-time lifting detection of the protective guard is inconvenient in consideration of different initial positions when the protective guard ascends and descends; therefore, the infrared detection position adjusting unit is designed to overcome the above-mentioned drawbacks.
Further, the guard rail shaking detection device comprises a vibration sensor, a nine-axis sensor, a second controller and a memory, wherein the second controller is respectively connected with the vibration sensor, the nine-axis sensor, the memory and the main control device;
the vibration sensor is used for detecting real-time vibration data of the guard rail;
the nine-axis sensor is used for detecting real-time attitude data of the guard rail;
the memory is used for storing preset vibration data (used as a reference standard of real-time vibration data and vibration data when the rail guard is lifted normally) and preset posture data (used as a reference standard of real-time posture data and posture data when the rail guard is lifted normally) of the rail guard;
the second controller performs comparative analysis on the real-time vibration data and the preset vibration data, and performs comparative analysis on the real-time gesture data and the preset gesture data; if the real-time vibration data is not matched with the preset vibration data and the real-time gesture data is not matched with the preset gesture data, the second controller feeds back to the main control device that the guard rail is abnormally rocked.
In the above-described scheme, considering that it is difficult to directly detect whether or not abnormal shaking of the guard rail occurs, it is designed to detect the abnormal shaking of the guard rail from the side (i.e., vibration detection and posture detection); however, since the abnormal shaking of the guard rail may occur due to factors such as human factors from the historical data, and since the vibration data and the posture data corresponding to the abnormal shaking of the guard rail due to the failure thereof have high correspondence, the guard rail is judged to be failed to be abnormally shaken when the vibration detection and the posture detection are abnormal, and the erroneous judgment rate of the system can be reduced.
Further, the guy rope state detection device comprises an image acquisition unit, an image processing unit and a third controller, wherein the third controller is respectively connected with the image acquisition unit, the image processing unit and the main control device;
the image acquisition unit is used for acquiring real-time image data when the inhaul cable runs;
the image processing unit is used for comparing and analyzing the real-time image data with preset image data, if the real-time image data and the preset image data are not matched, the third controller feeds back the running state of the inhaul cable to the main control device to be abnormal, otherwise, the third controller feeds back the running state of the inhaul cable to the main control device to be not abnormal.
In the scheme, the running state of the inhaul cable mainly considers whether the inhaul cable is broken or not in the running process, so that the purpose can be achieved by matching the image acquisition unit and the image processing unit.
Further, the lifting motor detection device comprises a circuit fault detection unit, a fan abnormal sound detection unit and a fourth controller, wherein the fourth controller is respectively connected with the circuit fault detection unit, the fan abnormal sound detection unit and the main control device;
the circuit fault detection unit is used for detecting whether a circuit of the lifting motor is faulty or not;
the fan abnormal sound detection unit is used for detecting whether the cooling fan of the lifting motor fails.
In the scheme, the fact that faults of the lifting motor in historical data are often circuit faults and heat dissipation fan faults is considered, so that the circuit fault detection unit and the fan abnormal sound detection unit are designed to detect the lifting motor in a targeted and real-time mode.
Further, the intelligent parking space monitoring system further comprises a digital visualization device and an intelligent data center, wherein the main control device is respectively in data interaction with the digital visualization device and the intelligent data center, the digital visualization device is used for realizing visualization of each detection data, and the intelligent data center is used for carrying out intelligent analysis by combining each detection data and carrying out remote automatic monitoring management on real-time conditions of the parking space.
According to the digital parking space monitoring and managing method based on the artificial intelligence, the digital parking space monitoring and managing system based on the artificial intelligence is adopted for parking space monitoring and managing.
A storage medium having stored thereon a computer program which when executed performs an artificial intelligence based digital parking space monitoring management method as described above.
The above is a preferred embodiment of the present invention, and all changes made according to the technical solution of the present invention belong to the protection scope of the present invention when the generated functional effects do not exceed the scope of the technical solution of the present invention.
Claims (8)
1. The digital parking space monitoring and managing system based on the artificial intelligence is characterized by comprising a guard rail lifting detection device, a guard rail shaking detection device, a guard rail sliding guide device, a guy rope state detection device, a lifting motor detection device and a main control device;
the main control device is respectively connected with the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device;
the guard rail lifting detection device is used for detecting whether the guard rail is lifted or not;
the guard rail shaking detection device is used for detecting whether the guard rail shakes abnormally or not;
the guard rail sliding guide device is used for providing fixed guide when the guard rail slides down;
the inhaul cable state detection device is used for detecting whether the running state of the inhaul cable is abnormal or not;
the lifting motor detection device is used for detecting whether the running state of the lifting motor is abnormal or not;
the main control device is used for controlling the opening and closing of the guard rail lifting detection device, the guard rail shaking detection device, the guard rail sliding guide device, the inhaul cable state detection device and the lifting motor detection device and is also used for feeding abnormal data back to the intelligent terminal.
2. The digital parking space monitoring and managing system based on artificial intelligence according to claim 1, wherein the main control device controls the guard rail lifting and detecting device to be normally opened, and controls the guard rail shaking and detecting device, the guard rail sliding and guiding device, the guy rope state detecting device and the lifting motor detecting device to be normally closed;
when the guard rail lifting detection device detects that the guard rail is lifted, the main control device controls the guard rail shaking detection device to be started;
when the guard rail shake detection device detects that the guard rail shakes abnormally, the main control device controls the guard rail slide guiding device and the inhaul cable state detection device to be opened;
when the inhaul cable state detection device detects that the operation state of the inhaul cable is not abnormal, the main control device controls the lifting motor detection device to be started.
3. The digital parking space monitoring and management system based on artificial intelligence according to claim 2, wherein the guard rail lifting detection device comprises a first controller, an infrared detection unit and an infrared detection position adjustment unit, and the first controller is respectively connected with the infrared detection unit, the infrared detection position adjustment unit and the main control device;
the infrared detection unit is used for detecting whether the protective guard ascends and descends;
the infrared detection position adjusting unit is used for adjusting the infrared detection unit to a first preset position or a second preset position;
the infrared detection unit is used for detecting whether the protective fence ascends or not when being positioned at the first preset position; and the infrared detection unit is used for detecting whether the protective fence descends when being positioned at the second preset position.
4. The digital parking space monitoring and managing system based on artificial intelligence according to claim 3, wherein the guard rail shaking detection device comprises a vibration sensor, a nine-axis sensor, a second controller and a memory, and the second controller is respectively connected with the vibration sensor, the nine-axis sensor, the memory and the main control device;
the vibration sensor is used for detecting real-time vibration data of the guard rail;
the nine-axis sensor is used for detecting real-time attitude data of the guard rail;
the memory is used for storing preset vibration data and preset posture data of the guard rail;
the second controller performs comparative analysis on the real-time vibration data and the preset vibration data, and performs comparative analysis on the real-time gesture data and the preset gesture data; if the real-time vibration data is not matched with the preset vibration data and the real-time gesture data is not matched with the preset gesture data, the second controller feeds back to the main control device that the guard rail is abnormally rocked.
5. The digital parking space monitoring and management system based on artificial intelligence according to claim 4, wherein the guy rope state detection device comprises an image acquisition unit, an image processing unit and a third controller, and the third controller is respectively connected with the image acquisition unit, the image processing unit and the main control device;
the image acquisition unit is used for acquiring real-time image data when the inhaul cable runs;
the image processing unit is used for comparing and analyzing the real-time image data with preset image data, if the real-time image data and the preset image data are not matched, the third controller feeds back the running state of the inhaul cable to the main control device to be abnormal, otherwise, the third controller feeds back the running state of the inhaul cable to the main control device to be not abnormal.
6. The digital parking space monitoring and management system based on artificial intelligence according to claim 5, wherein the lifting motor detection device comprises a circuit fault detection unit, a fan abnormal sound detection unit and a fourth controller, and the fourth controller is respectively connected with the circuit fault detection unit, the fan abnormal sound detection unit and the main control device;
the circuit fault detection unit is used for detecting whether a circuit of the lifting motor is faulty or not;
the fan abnormal sound detection unit is used for detecting whether the cooling fan of the lifting motor fails.
7. The system of claim 6, further comprising a digital visualization device and an intelligent data center, wherein the master control device is in data interaction with the digital visualization device and the intelligent data center, respectively.
8. An artificial intelligence based digital parking space monitoring and management method, which is characterized in that the artificial intelligence based digital parking space monitoring and management system is adopted for parking space monitoring and management according to any one of claims 1-7.
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| CN202310828680.5A CN116576921B (en) | 2023-07-07 | 2023-07-07 | Digital parking space monitoring and management system and method based on artificial intelligence |
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| CN202310828680.5A CN116576921B (en) | 2023-07-07 | 2023-07-07 | Digital parking space monitoring and management system and method based on artificial intelligence |
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