CN117218808B - Artificial intelligence safety supervision system applied to motor game facilities - Google Patents
Artificial intelligence safety supervision system applied to motor game facilities Download PDFInfo
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- 238000011156 evaluation Methods 0.000 claims description 39
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Abstract
The invention discloses an artificial intelligent safety supervision system applied to a motor game facility, which comprises an operation parameter acquisition module, a data analysis module, a judgment module, a safety grade marking module, an alarm signal output module and a control module, wherein the operation parameter acquisition module, the data analysis module, the judgment module, the safety grade marking module and the alarm signal output module are respectively and electrically connected with the control module. The artificial intelligence safety supervision system applied to the mobile game facilities can evaluate multiple aspects of the mobile game facilities to determine the safety conditions of the mobile game facilities, and is beneficial to comprehensively supervising the safety conditions of the mobile game facilities.
Description
Technical Field
The invention relates to the technical field of control, in particular to an artificial intelligent safety supervision system applied to a motor game facility.
Background
Patent CN111289160B discloses a stress state monitoring method for a large amusement facility, comprising: setting an installation fulcrum of a fiber bragg grating sensor on a large-scale amusement facility according to spatial resolution, installing the fiber bragg grating sensor according to the set installation fulcrum, collecting a strain optical signal of the structural surface of the large-scale amusement facility, and sending the strain optical signal to a fiber bragg grating demodulator, wherein the fiber bragg grating demodulator adjusts the strain optical signal into a strain electrical signal and sends the strain electrical signal to a system platform, the system platform calculates the fatigue accumulation damage of the large-scale amusement facility according to the strain electrical signal and a stress spectrum based on a four-peak valley rain flow counting method, and calculates the service life of the large-scale amusement facility according to the fatigue accumulation damage and a fatigue load spectrum. The stress monitoring efficiency is improved, the reliability is high, and meanwhile, the safety condition of the large-scale amusement facility can be monitored in real time and for a long time.
However, the above-mentioned technical solutions have the disadvantage that the safety is only determined from the stress condition of the motor game facility, i.e. the amusement facility, and the evaluation index is single, and the multiple aspects of the motor game facility cannot be evaluated to determine the safety condition thereof, which is not beneficial to comprehensively monitoring the safety condition of the motor game facility.
Therefore, how to design a supervision system capable of evaluating multiple aspects of a mobile game facility to determine the safety condition of the mobile game facility so as to be beneficial to comprehensively supervising the safety condition of the mobile game facility is a technical problem to be solved.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an artificial intelligent safety supervision system applied to a mobile game facility, which can evaluate multiple aspects of the mobile game facility to determine the safety condition of the mobile game facility.
In order to solve the technical problems, the invention discloses an artificial intelligent safety supervision system applied to a motor game facility, which comprises an operation parameter acquisition module, a data analysis module, a judgment module, a safety grade marking module, an alarm signal output module and a control module, wherein the operation parameter acquisition module, the data analysis module, the judgment module, the safety grade marking module and the alarm signal output module are respectively and electrically connected with the control module,
the control module performs the steps of:
the control module controls the operation parameter acquisition module to acquire a target operation parameter of a target mobile game facility, wherein the target operation parameter comprises a noise decibel value, a motor rotating speed, a bearing weight and a temperature value in the operation process of the target mobile game facility;
the control module controls the judging module to judge whether the target operation parameter belongs to a predetermined operation parameter threshold value range, wherein the operation parameter threshold value range comprises a noise decibel threshold value range, a motor rotation speed threshold value range, a bearing weight threshold value range and a temperature threshold value range,
when the target operation parameter is determined to belong to the operation parameter threshold value range, the control module controls the alarm signal output module to output a first alarm signal to the target mobile game facility so that the target mobile game facility pauses operation,
when the target operation parameter is determined not to belong to the operation parameter threshold value range, the control module controls the data analysis module to determine the safety level evaluation index of the target mobile game facility according to the target operation parameter,
the control module controls the judging module to judge whether the safety level evaluation index belongs to a preset safety level index threshold range, if yes, the control module controls the safety level marking module to mark the current running state of the target mobile game facility as a first safety level, and if not, the control module controls the safety level marking module to mark the current running state of the target mobile game facility as a second safety level.
The artificial intelligence safety supervision system applied to the mobile game facilities can evaluate multiple aspects of the mobile game facilities to determine the safety conditions of the mobile game facilities, and is beneficial to comprehensively supervising the safety conditions of the mobile game facilities.
In an alternative embodiment, the control module controls the determining module to determine whether the target operation parameter matches a predetermined operation parameter threshold, and specifically includes:
the control module controls the judging module to judge whether the noise decibel value, the motor rotating speed, the bearing weight and the temperature value in the running process of the target motor game facility respectively belong to a noise decibel threshold value range, a motor rotating speed threshold value range, a bearing weight threshold value range and a temperature threshold value range,
if yes, the control module controls the judging module to generate a first judging result which indicates that the target operation parameter belongs to the operation parameter threshold range,
if not, the control module controls the judging module to generate a second judging result which indicates that the target operation parameter does not belong to the operation parameter threshold range.
In an alternative embodiment, the control module controls the data analysis module to determine the safety grade evaluation index of the target mobile game facility according to the target operation parameter, and the adopted algorithm is as follows:
；
evaluating an index for the security level of said target motor game facility,>a first score, a +_f, of a security rating index for said target motor game facility>A second score for a security level rating index for the target motor game facility,
wherein,，/>,
is a correlation index, and->，/>For the first sub-term of the correlation index, +.>For the second sub-term of the correlation index, +.>For the third sub-term of the correlation index, +.>For the fourth sub-term of the correlation index,
wherein,，
，
，
，
in the method, in the process of the invention,for the total number of noise samples during the operation of the target motor game facility, < >>For the noise sample number during the operation of the target motor game facility->For the +.>Noise decibel value of individual noise samples, +.>Is->Maximum value of (2)，/>Is->Minimum value->Is->Average value of>For the total number of motor speed samples during the operation of said target motor game facility,/for each motor speed sample>For the motor speed sample number during the operation of the target motor game facility,/for the motor speed sample number during the operation of the target motor game facility>For the +.>Motor speed corresponding to the motor speed samples, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the total number of weight-carrying samples during the operation of the target motor game facility,/for the total number of weight-carrying samples during the operation of the target motor game facility>For the sample number of the load weight during the operation of the target mobile game facility,/for the target mobile game facility>For the +.>Load corresponding to each load sample, < +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the total number of temperature samples during the operation of the target motor game facility, < >>For the temperature sample number during the operation of the target motor game facility, < >>For the +.>Temperature value corresponding to each temperature sample, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of (2).
In an alternative embodiment, the artificial intelligence safety supervision system further comprises an image acquisition module, an image analysis module, an attribute information acquisition module and a safety signal output module which are respectively and electrically connected with the control module,
before the control module controls the operation parameter acquisition module to acquire the target operation parameter of the target mobile game facility, the steps executed by the control module further include:
the control module controls the attribute information acquisition module to acquire type attribute information of a target mobile game facility;
the control module controls the judging module to judge whether the target mobile game facility is a manned mobile game facility according to the type attribute information,
if not, triggering the control module to control the operation parameter acquisition module to acquire the execution of the target operation parameter step of the target mobile game facility,
if so, the control module controls the image acquisition module to acquire a real-time image of a passenger compartment of the target mobile game facility, and the control module controls the image analysis module to perform a target detection operation on passengers and guards on the real-time image of the passenger compartment, and the control module determines whether all passengers within the passenger compartment of the target mobile game facility wear guards based on the result of the target detection operation of the passengers and guards,
when it is determined that all passengers in the passenger cabin of the target mobile game facility wear the protective device, the control module controls the safety signal output module to output a first safety signal to the target mobile game facility so that the target mobile game facility enters an operating state, and triggers the control module to control the execution of the step of the operating parameter acquisition module to acquire a target operating parameter of the target mobile game facility,
when it is determined that not all passengers in the passenger cabin of the target mobile game facility wear the protection device, the control module controls the alarm signal output module to output a second alarm signal to the target mobile game facility so that the target mobile game facility enters a standby state.
In an alternative embodiment, in the present invention, the control module controls the image analysis module to perform the target detection operation on the passenger cabin real-time image and the protection device, and a YOLO algorithm is used to implement the target detection operation.
As an alternative embodiment, in the present invention, after the control module controls the alert signal output module to output a second alert signal to the target mobile game facility so that the target mobile game facility enters a standby state, the step performed by the control module further includes:
the control module controls the image analysis module to determine the target position of the passenger without wearing the protection device according to the result of the target detection operation of the passenger and the protection device;
the control module controls the alert signal output module to output supplemental information regarding the second alert signal to the target mobile gaming establishment, wherein the supplemental information includes passenger seat information corresponding to the target location.
In an alternative embodiment, the artificial intelligence safety supervision system further comprises a power consumption monitoring module electrically connected with the control module,
when the control module controls the security level marking module to mark the current running state of the target mobile game facility as a first security level, the control module performs the steps comprising:
the control module controls the operation parameter acquisition module to acquire the real-time electricity consumption of the target mobile game facility in a target monitoring time period;
the control module controls the data analysis module to determine a current power consumption evaluation index of the target mobile game facility according to the real-time power consumption of the target monitoring time period;
the control module controls the judging module to judge whether the current electricity consumption evaluation index belongs to a preset electricity consumption evaluation index threshold range, if yes, the control module controls the electricity consumption monitoring module to output first monitoring information representing that the electricity consumption monitoring result of the target mobile game facility is normal, and if not, the control module controls the electricity consumption monitoring module to output second monitoring information representing that the electricity consumption monitoring result of the target mobile game facility is abnormal.
In an alternative embodiment, the control module controls the data analysis module to determine the current power consumption evaluation index of the target mobile game facility according to the real-time power consumption of the target monitoring time period, and the adopted algorithm is as follows:，
in the method, in the process of the invention,a current power consumption evaluation index representing the target motor game facility,/->Sample number indicating current power consumption of the target motor game facility during the target monitoring period,/for the target motor game facility>Representing a total number of samples, +.>Indicating +.>Current power consumption corresponding to a sample of current power consumption of the target motor game facility,/->Representation->Mean value of->Representation->Is extremely bad.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an artificial intelligence security supervision system for use in a motor game facility in accordance with an embodiment of the invention;
FIG. 2 is a flow chart of the control module according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a sub-step of step S102 according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating another implementation step of the control module according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a further execution of steps by the control module according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating another implementation step of the control module according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Embodiment one: the invention discloses an artificial intelligent safety supervision system applied to a motor game facility, which is shown in fig. 1 and comprises an operation parameter acquisition module, a data analysis module, a judgment module, a safety grade marking module, an alarm signal output module and a control module, wherein the operation parameter acquisition module, the data analysis module, the judgment module, the safety grade marking module and the alarm signal output module are respectively and electrically connected with the control module.
As shown in fig. 2, the control module performs the steps of:
s101, the control module controls the operation parameter acquisition module to acquire target operation parameters of the target mobile game facility. The target operation parameters comprise noise decibel values, motor rotation speed, bearing weight and temperature values in the operation process of the target motor game facility.
S102, the control module controls the judging module to judge whether the target operation parameters belong to a predetermined operation parameter threshold range. The operating parameter threshold range comprises a noise decibel threshold range, a motor rotating speed threshold range, a bearing weight threshold range and a temperature threshold range.
When it is determined that the target operation parameter belongs to the operation parameter threshold range, step S103a is executed, and when it is determined that the target operation parameter does not belong to the operation parameter threshold range, step S103b is executed.
S103a, the control module controls the alarm signal output module to output a first alarm signal to the target mobile game facility, so that the target mobile game facility pauses operation.
S103b, the control module controls the data analysis module to determine the safety grade evaluation index of the target mobile game facility according to the target operation parameters.
S104, the control module controls the judging module to judge whether the safety grade evaluation index belongs to a preset safety grade index threshold range. Alternatively, the safety class index threshold range may be predetermined by one skilled in the art based on empirical data. If yes, step S105a is executed, and if no, step S105b is executed.
S105a, the control module controls the security level marking module to mark the current running state of the target mobile game facility as a first security level.
S105b, the control module controls the security level marking module to mark the current running state of the target mobile game facility as a second security level.
The invention discloses an artificial intelligent safety supervision system applied to a mobile game facility, which is characterized in that a control module controls a judging module to judge whether a target operation parameter belongs to a predetermined operation parameter threshold range or not so as to preliminarily screen operation safety problems of the target mobile game facility, if the judgment result shows that the target operation parameter belongs to the predetermined operation parameter threshold range, the artificial intelligent safety supervision system can further screen the operation safety problems of the mobile game facility, and if the judgment result shows that the target operation parameter does not belong to the predetermined operation parameter threshold range, the control module controls an alarm signal output module to output a first alarm signal to the target mobile game facility, so that the target mobile game facility pauses operation and potential safety hazards are timely checked. The preliminary screening and further screening of the motor game facilities on running safety problems can realize the supervision of the artificial intelligence of the whole process on the safety problems. Further, the specific step of the artificial intelligence safety supervision system for screening the running safety problems of the mobile game facilities is that the control module controls the data analysis module to determine the safety grade evaluation index of the target mobile game facilities according to the target running parameters, wherein the safety grade evaluation index can be used for determining the safety grade of the current running state of the target mobile game facilities, and the safety grade can be divided into two stages from high to low. By categorizing the security status of the mobile gaming establishments, the present invention enables allocation of more security administration resources to individual mobile gaming establishments, such as those marked as a second security level, in an application scenario that manages a group of mobile gaming establishments to facilitate targeted security administration thereof. The safety rating index is determined according to target operation parameters including noise decibel value, motor rotation speed, bearing weight and temperature value in the operation process of the target motor game facility, namely the safety rating index can be used for comprehensively monitoring the safety condition of the target motor game facility about the noise decibel value, motor rotation speed, bearing weight and temperature value in the operation process of the target motor game facility. Therefore, the artificial intelligence safety supervision system applied to the mobile game facilities can evaluate multiple aspects of the mobile game facilities to determine the safety conditions of the mobile game facilities, and is beneficial to comprehensively supervising the safety conditions of the mobile game facilities.
Optionally, the invention can take the noise, the motor rotation speed, the bearing weight and the temperature of the motor game facility as independent safety problem evaluation factors to make preliminary screening about the operation safety problem of the motor game facility, namely, under the condition that the four parameters of the noise, the motor rotation speed, the bearing weight and the temperature respectively correspond to the noise decibel threshold range, the motor rotation speed threshold range, the bearing weight threshold range and the temperature threshold range, the preliminary screening about the operation safety problem of the motor game facility can be determined to pass, namely, the preliminary screening about the operation safety problem of the motor game facility is not found, and if at least one parameter of the four parameters of the noise, the motor rotation speed, the bearing weight and the temperature does not accord with the threshold range, the preliminary screening about the operation safety problem of the motor game facility can be determined to not pass, namely, the preliminary screening about the operation safety problem is found, otherwise, the preliminary screening is not passed. Specifically, the control module controls the determination module to determine whether the target operation parameter matches the predetermined operation parameter threshold, i.e., step S102, as shown in fig. 3, may include the following sub-steps:
s1021, the control module controls the judging module to judge whether the noise decibel value, the motor rotating speed, the bearing weight and the temperature value in the running process of the target motor game facility belong to the noise decibel threshold range, the motor rotating speed threshold range, the bearing weight threshold range and the temperature threshold range respectively. Alternatively, the noise decibel threshold range, motor speed threshold range, load weight threshold range, and temperature threshold range may be predetermined by one skilled in the art based on empirical data. If yes, step S1022a is executed, and if no, step S1022b is executed.
S1022a, the control module controls the judging module to generate a first judging result which indicates that the target operation parameter belongs to the threshold value range of the operation parameter.
S1022b, the control module controls the judging module to generate a second judging result which indicates that the target operation parameter does not belong to the operation parameter threshold range.
Embodiment two: the invention can efficiently calculate the corresponding safety grade evaluation index of the target mobile game facility based on the pre-constructed mapping relation between the target operation parameter and the safety grade evaluation index of the target mobile game facility under the condition of determining the target operation parameter. Specifically, the control module controls the data analysis module to determine the safety level evaluation index of the target motor game facility according to the target operation parameters, and the adopted algorithm is as follows:
，
evaluating an index for the security level of said target motor game facility,>a first score, a +_f, of a security rating index for said target motor game facility>A second score for a security level rating index for the target motor game facility,
wherein,，/>,
is a correlation index, and->，/>For the first sub-term of the correlation index, +.>For the second sub-term of the correlation index, +.>For the third sub-term of the correlation index, +.>For the fourth sub-term of the correlation index,
wherein,，
，
，
，
in the method, in the process of the invention,for the total number of noise samples during the operation of the target motor game facility, < >>For the noise sample number during the operation of the target motor game facility->For the +.>Noise decibel value of individual noise samples, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the total number of motor speed samples during the operation of said target motor game facility,/for each motor speed sample>For the motor speed sample number during the operation of the target motor game facility,/for the motor speed sample number during the operation of the target motor game facility>For the +.>Motor speed corresponding to the motor speed samples, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the total number of weight-carrying samples during the operation of the target motor game facility,/for the total number of weight-carrying samples during the operation of the target motor game facility>For the sample number of the load weight during the operation of the target mobile game facility,/for the target mobile game facility>For the +.>Load corresponding to each load sample, < +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the object ofTotal number of temperature samples during operation of the motor game facility, < >>For the temperature sample number during the operation of the target motor game facility, < >>For the +.>Temperature value corresponding to each temperature sample, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of (2).
The algorithm obtains the corresponding target motor game facility safety grade evaluation index through sampling values of four parameters including noise decibel values, motor rotating speed, bearing weight and temperature values in the running process of the target motor game. The safety grade evaluation index reflects the relation among the sampling value of the corresponding parameter, the average value of the sampling value and the extreme value of the sampling value, and is beneficial to weakening the influence of a certain sampling value of the corresponding parameter on the sample obtained by integral sampling, thereby being beneficial to reducing the influence of the sample obtained by integral sampling due to the abnormality of the certain sampling value, further being beneficial to the integrity of the sample of the corresponding parameter, and enabling the algorithm for determining the safety grade evaluation index of the target mobile game facility to have robustness.
In addition to being able to govern the safety of the operation of the target gaming establishment, the present invention may also be directed to safety regulations as to whether the passenger of the manned mobile gaming establishment wears a protective device. The protective device may include a helmet, a safety belt, a protective gear, or the like. Specifically, as shown in fig. 1, the artificial intelligence safety supervision system further comprises an image acquisition module, an image analysis module, an attribute information acquisition module and a safety signal output module which are respectively and electrically connected with the control module.
Before step S101 before the control module controls the operation parameter obtaining module to obtain the target operation parameter of the target mobile game facility, as shown in fig. 4, the steps executed by the control module further include the following steps:
s201, the control module controls the attribute information acquisition module to acquire type attribute information of the target mobile game facility.
S202, the control module controls the judging module to judge whether the target mobile game facility is a manned mobile game facility according to the type attribute information, if not, the step S101 is executed, and if so, the step S203 is executed.
S203, the control module controls the image acquisition module to acquire real-time images of the passenger cabin of the target motor game facility.
S204, the control module controls the image analysis module to execute target detection operation on passengers and protective devices on the passenger cabin real-time image.
S205, the control module determines whether all passengers in the passenger compartment of the target motor game facility wear the guard based on the result of the target detection operation of the passenger and the guard. When it is determined that all passengers in the passenger compartment of the target motor game facility are wearing the guards, step S206a is performed, and when it is determined that not all passengers in the passenger compartment of the target motor game facility are wearing the guards, step S206b is performed.
S206a, the control module controls the safety signal output module to output a first safety signal to the target mobile game facility, so that the target mobile game facility enters an operating state, and the step S101 is triggered to be executed.
S206b, the control module controls the alarm signal output module to output a second alarm signal to the target mobile game facility, so that the target mobile game facility enters a standby state.
Optionally, in step S205, the control module may determine whether all passengers in the passenger compartment of the target motor game facility wear the protective device by determining the relative positions of the passengers and the image of the protective device. For example, if the image of a protective device is within the image of a passenger, it may be determined that the passenger is wearing the protective device.
Optionally, in the process of controlling the image analysis module to perform the target detection operation on the passenger and the protection device on the passenger cabin real-time image, the control module adopts the YOLO algorithm to realize the target detection operation. Further alternatively, the result of the object detection operation is image coordinates representing the image range of the detected object, such as image coordinates of both end points on the longest diagonal of the passenger image or image coordinates of the center of gravity of the protector image.
The invention can also output the detected passenger position without wearing the protective device to the target mobile game so that the target mobile game facility can remind the corresponding passenger to wear the protective device as soon as possible, and the target mobile game can smoothly enter the running state. After the control module controls the alert signal output module to output the second alert signal to the target mobile game facility so that the target mobile game facility enters the standby state, i.e., after step S206b, as shown in fig. 5, the steps performed by the control module further include:
s207, the control module controls the image analysis module to determine the target position of the passenger without wearing the protection device according to the result of the target detection operation of the passenger and the protection device.
S208, the control module controls the alarm signal output module to output the supplementary information about the second alarm signal to the target mobile game facility. Wherein the supplemental information includes passenger seat information corresponding to the target location.
Embodiment III: the invention can also dynamically monitor the electricity consumption of the mobile game facility to further carry out safety supervision on the mobile game facility, thereby being beneficial to carrying out more comprehensive and refined safety supervision on the mobile game facility. Optionally, as shown in fig. 1, the artificial intelligence safety supervision system further includes a power consumption monitoring module electrically connected to the control module, and when the control module controls the safety level marking module to mark the current running state of the target mobile game facility as the first safety level, that is, after executing step S105a, as shown in fig. 6, the steps executed by the control module further include:
s301, the control module controls the operation parameter acquisition module to acquire the real-time electricity consumption of the target mobile game facility in the target monitoring time period.
S302, the control module controls the data analysis module to determine the current electricity consumption evaluation index of the target mobile game facility according to the real-time electricity consumption of the target monitoring time period.
S303, the control module controls the judging module to judge whether the current electricity consumption evaluation index belongs to a preset electricity consumption evaluation index threshold range, if so, the step S304a is executed, and if not, the step S304b is executed. Alternatively, the electricity consumption evaluation index threshold range may be set empirically by those skilled in the art.
S304a, the control module controls the power consumption monitoring module to output first monitoring information which indicates that the power consumption monitoring result of the target mobile game facility is normal.
S304b, the control module controls the power consumption monitoring module to output second monitoring information representing that the power consumption monitoring result of the target motor game facility is abnormal.
Further, the present invention can efficiently calculate the current power consumption evaluation index of the corresponding target mobile game facility based on the previously constructed mapping relationship between the current power consumption of the target mobile game facility and the current power consumption evaluation index of the target mobile game facility in the target monitoring period. The control module controls the data analysis module to determine the current power consumption evaluation index of the target mobile game facility according to the real-time power consumption of the target monitoring time period, and the adopted algorithm is as follows:
，
in the method, in the process of the invention,a current power consumption evaluation index indicating a target motor game facility,/->Sample number indicating the current power consumption of the target motor game facility during the target monitoring period,/->Total number of samples representing current power consumption of the target motor game facility during the target monitoring period,/->Indicates +.>A current power consumption corresponding to a sample of the current power consumption of the target motor game facility, +.>Representation->Mean value of->Representation->Is extremely bad. In particular, the predetermined power usage evaluation index threshold range may be (0, 1).
The algorithm monitors the current electricity consumption of the target mobile game facility, and determines the current electricity consumption evaluation index of the target mobile game facility according to the current electricity consumption obtained by sampling, the current electricity consumption average value and the current electricity consumption extremely poor, which is beneficial to reducing the influence of the sample obtained by the whole sampling due to the abnormality of the sampling value of a certain current electricity consumption, thereby being beneficial to the integrity of the current electricity consumption sample and enabling the algorithm for determining the current electricity consumption evaluation index of the target mobile game facility to have robustness.
Finally, it should be noted that: the embodiment of the invention discloses an artificial intelligence safety supervision system applied to a motor game facility, which is disclosed as a preferred embodiment of the invention, and is only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme described in the foregoing embodiments can be modified or some of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (6)
1. An artificial intelligent safety supervision system applied to a motor game facility is characterized by comprising an operation parameter acquisition module, a data analysis module, a judgment module, a safety grade marking module, an alarm signal output module and a control module, wherein the operation parameter acquisition module, the data analysis module, the judgment module, the safety grade marking module and the alarm signal output module are respectively and electrically connected with the control module,
the control module performs the steps of:
the control module controls the operation parameter acquisition module to acquire a target operation parameter of a target mobile game facility, wherein the target operation parameter comprises a noise decibel value, a motor rotating speed, a bearing weight and a temperature value in the operation process of the target mobile game facility;
the control module controls the judging module to judge whether the target operation parameter belongs to a predetermined operation parameter threshold value range, wherein the operation parameter threshold value range comprises a noise decibel threshold value range, a motor rotation speed threshold value range, a bearing weight threshold value range and a temperature threshold value range,
when the target operation parameter is determined to belong to the operation parameter threshold value range, the control module controls the alarm signal output module to output a first alarm signal to the target mobile game facility so that the target mobile game facility pauses operation,
when the target operation parameter is determined not to belong to the operation parameter threshold value range, the control module controls the data analysis module to determine the safety level evaluation index of the target mobile game facility according to the target operation parameter,
the control module controls the judging module to judge whether the safety level evaluation index belongs to a preset safety level index threshold range, if yes, the control module controls the safety level marking module to mark the current running state of the target mobile game facility as a first safety level, and if not, the control module controls the safety level marking module to mark the current running state of the target mobile game facility as a second safety level;
the control module controls the judging module to judge whether the target operation parameter is matched with a predetermined operation parameter threshold value or not, and specifically comprises the following steps:
the control module controls the judging module to judge whether the noise decibel value, the motor rotating speed, the bearing weight and the temperature value in the running process of the target motor game facility respectively belong to a noise decibel threshold value range, a motor rotating speed threshold value range, a bearing weight threshold value range and a temperature threshold value range,
if yes, the control module controls the judging module to generate a first judging result which indicates that the target operation parameter belongs to the operation parameter threshold range,
if not, the control module controls the judging module to generate a second judging result which indicates that the target operation parameter does not belong to the operation parameter threshold range;
the control module controls the data analysis module to determine the safety level evaluation index of the target mobile game facility according to the target operation parameters, and the adopted algorithm is as follows:
；
evaluating an index for the security level of said target motor game facility,>a first score, a +_f, of a security rating index for said target motor game facility>A second score for a security level rating index for the target motor game facility,
wherein,，/>,
is a correlation index, and->，/>For the first sub-term of the correlation index, +.>For the second sub-term of the correlation index, +.>For the third sub-term of the correlation index, +.>For the fourth sub-term of the correlation index,
wherein,，
，
，
，
in the method, in the process of the invention,for the total number of noise samples during the operation of the target motor game facility, < >>For the noise sample number during the operation of the target motor game facility->For the +.>Noise decibel value of individual noise samples, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the total number of motor speed samples during the operation of said target motor game facility,/for each motor speed sample>For the motor speed sample number during the operation of the target motor game facility,/for the motor speed sample number during the operation of the target motor game facility>For the +.>Motor speed corresponding to the motor speed samples, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of>For the total number of weight-carrying samples during the operation of the target motor game facility,/for the total number of weight-carrying samples during the operation of the target motor game facility>For the sample number of the load weight during the operation of the target mobile game facility,/for the target mobile game facility>For the +.>The corresponding load weights of the individual load weight samples,is->Maximum value of>Is->Minimum value->Is->Average value of>For the temperature during the operation of the target motor game facilityTotal number of degree samples->For the temperature sample number during the operation of the target motor game facility, < >>For the +.>Temperature value corresponding to each temperature sample, +.>Is->Maximum value of>Is->Minimum value->Is->Average value of (2).
2. The artificial intelligence safety supervision system for a motor game according to claim 1, further comprising an image acquisition module, an image analysis module, an attribute information acquisition module, and a safety signal output module electrically connected to the control module, respectively,
before the control module controls the operation parameter acquisition module to acquire the target operation parameter of the target mobile game facility, the steps executed by the control module further include:
the control module controls the attribute information acquisition module to acquire type attribute information of a target mobile game facility;
the control module controls the judging module to judge whether the target mobile game facility is a manned mobile game facility according to the type attribute information,
if not, triggering the control module to control the operation parameter acquisition module to acquire the execution of the target operation parameter step of the target mobile game facility,
if so, the control module controls the image acquisition module to acquire a real-time image of a passenger compartment of the target mobile game facility, and the control module controls the image analysis module to perform a target detection operation on passengers and guards on the real-time image of the passenger compartment, and the control module determines whether all passengers within the passenger compartment of the target mobile game facility wear guards based on the result of the target detection operation of the passengers and guards,
when it is determined that all passengers in the passenger cabin of the target mobile game facility wear the protective device, the control module controls the safety signal output module to output a first safety signal to the target mobile game facility so that the target mobile game facility enters an operating state, and triggers the control module to control the execution of the step of the operating parameter acquisition module to acquire a target operating parameter of the target mobile game facility,
when it is determined that not all passengers in the passenger cabin of the target mobile game facility wear the protection device, the control module controls the alarm signal output module to output a second alarm signal to the target mobile game facility so that the target mobile game facility enters a standby state.
3. The artificial intelligence safety supervision system for use in a motor game according to claim 2, wherein the control module controls the image analysis module to perform the objective detection operation on the passenger and the protection device on the real-time image of the passenger compartment, wherein the objective detection operation is implemented using a YOLO algorithm.
4. The artificial intelligence safety supervision system for a mobile gaming establishment of claim 3, wherein after the control module controls the alert signal output module to output a second alert signal to the target mobile gaming establishment such that the target mobile gaming establishment enters a standby state, the steps performed by the control module further comprise:
the control module controls the image analysis module to determine the target position of the passenger without wearing the protection device according to the result of the target detection operation of the passenger and the protection device;
the control module controls the alert signal output module to output supplemental information regarding the second alert signal to the target mobile gaming establishment, wherein the supplemental information includes passenger seat information corresponding to the target location.
5. The artificial intelligence safety supervision system for a motor game according to claim 4, further comprising a power usage monitoring module electrically connected to the control module,
when the control module controls the security level marking module to mark the current running state of the target mobile game facility as a first security level, the control module performs the steps comprising:
the control module controls the operation parameter acquisition module to acquire the real-time electricity consumption of the target mobile game facility in a target monitoring time period;
the control module controls the data analysis module to determine a current power consumption evaluation index of the target mobile game facility according to the real-time power consumption of the target monitoring time period;
the control module controls the judging module to judge whether the current electricity consumption evaluation index belongs to a preset electricity consumption evaluation index threshold range, if yes, the control module controls the electricity consumption monitoring module to output first monitoring information representing that the electricity consumption monitoring result of the target mobile game facility is normal, and if not, the control module controls the electricity consumption monitoring module to output second monitoring information representing that the electricity consumption monitoring result of the target mobile game facility is abnormal.
6. The artificial intelligence safety supervision system for a motor game according to claim 5, wherein the control module controls the data analysis module to determine a current power consumption evaluation index of the target motor game according to the real-time power consumption of the target monitoring period, and the algorithm is as follows:，
in the method, in the process of the invention,a current power consumption evaluation index representing the target motor game facility,/->Sample number indicating current power consumption of the target motor game facility during the target monitoring period,/for the target motor game facility>Representing a total number of samples, +.>Indicating +.>Current power consumption corresponding to a sample of current power consumption of the target motor game facility,/->Representation->Mean value of->Representation->Is extremely bad.
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