CN115169609A - Equipment performance evaluation system - Google Patents
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Abstract
During the operation of the equipment, the operator may ignore the equipment problems due to the dead angle of sight and the noisy environment. When an equipment problem is enlarged, for example, a fire is enlarged, even if an operator finds the problem and wants to escape from the equipment, the operator is blocked from leaving the equipment, so that the equipment problem is enlarged and casualties are caused. The invention relates to an equipment performance evaluation system which comprises a first identification module, a second identification module and an operation monitoring module. The operation monitoring module can generate a machine operation evaluation report based on the first identification information acquired by the first identification module and the second identification information acquired by the second identification module. The first identification module collects first identification information and sends the first identification information to the operation monitoring module. The second identification module collects second identification information and sends the second identification information to the operation monitoring module. The invention can also judge the position of the vehicle which can be damaged by collecting the sound of the running vehicle.
Description
Technical Field
The invention relates to the technical field of alarm devices, in particular to an equipment performance evaluation system.
Background
With the continuous development of automobile technology, the automobile holding capacity is continuously increased, and the problems caused by the automobile holding capacity are also continuously increased. The automobile has the problems of sudden liquid leakage, spontaneous combustion and the like, particularly when the automobile is in a driving state, the problem of the automobile body is difficult to find due to the fact that a driver is in a highly concentrated driving state, and accidents and personal injury problems of the driver caused by the problems of the liquid leakage, the spontaneous combustion and the like frequently occur.
Monitoring devices based on vehicle conditions begin to emerge. The detection of the vehicle state is divided into three stages, one is the monitoring before leaving the factory, and the other is the monitoring in use and the monitoring in case of accident.
Regarding monitoring before delivery, publication No. CN210689940U relates to a household appliance monitoring method and system. The utility model provides a detection apparatus before car pipeline dispatches from factory, its includes frame, support platform, slides and connects the aversion subassembly in support platform both sides, set up the subassembly of blowing in support platform one side, with the puncture subassembly that the subassembly homonymy set up of blowing, the subassembly of blowing, puncture subassembly set up along the direction of delivery of car pipeline in order. Before the vehicle leaves a factory, the functional operation of each component of the vehicle is detected, so that no functional damage is caused when the vehicle leaves the factory.
Post-accident monitoring is generally based on monitoring the vehicle environment and vehicle conditions when an accident occurs. Chinese patent with publication number CN110164181A relates to a vehicle accident detection and early warning method, device and system, utilize the vehicle-mounted end to detect the vehicle condition information; if the vehicle accident is determined based on the vehicle condition information, vehicle accident detection information is generated, wherein the vehicle accident detection information comprises at least one of the vehicle condition information, the accident occurrence place, the accident occurrence time, the vehicle speed when the accident occurs and the weather when the accident occurs. The system provided by the invention can be used for collecting the information of environmental factors and the state of the vehicle body after the vehicle has an accident and backtracking the accident occurrence process and reason.
For vehicle monitoring during use, more monitoring based on running state is provided, for example, chinese patent publication No. CN102439644B provides a monitoring method, which monitors the surrounding environment of the vehicle, and determines the normal running of the vehicle by detecting the driving process of the vehicle. Or, chinese patent with publication number CN114152361A discloses an exhaust temperature sensor work monitoring device, including the monitoring device body, the monitoring device body includes thermistor-type temperature-sensing ware, signal line one, thermistor ring one and thermistor ring two, thermistor ring cover establishes the surface at the blast pipe, exhaust temperature sensor is installed on the top of blast pipe, exhaust temperature sensor's bottom is installed the temperature sensing head, the nut is installed on the top of temperature sensing head, the heat insulating board is installed on the top of blast pipe, the both ends of heat insulating board are provided with the fixed plate, the screw has been interlude to the inside of fixed plate, the draw-in groove has been seted up in the centre of the bottom of heat insulating board, exhaust temperature sensor's top is connected with signal line two. The invention monitors the temperature of the exhaust pipeline to confirm the normal operation of the vehicle, namely, the temperature inside the vehicle body is increased due to the vibration when the parts are abnormally mounted. However, the monitoring method is easy to generate large errors when the loss and the dislocation of the internal parts of the vehicle body are judged based on single temperature monitoring, and other errors influencing the running of the vehicle cannot be eliminated.
Based on the above, the invention relates to an equipment performance evaluation system, which can timely find vehicle problems through vehicle odor monitoring and generate comprehensive evaluation and suggestion of vehicle maintenance, provide basic detection information of vehicle faults for users, and enable the vehicle users to have basic judgment capability on vehicle fault degree and vehicle fault maintainability.
Furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the applicant has studied a great deal of literature and patents when making the present invention, but the disclosure is not limited thereto and the details and contents thereof are not listed in detail, it is by no means the present invention has these prior art features, but the present invention has all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.
Disclosure of Invention
The problem of accidental liquid leakage during the running of the vehicle is difficult to be found by a driver during the running, the continuously leaked liquid is easy to cause the damage and abnormal form of vehicle parts, and the vehicle can be burnt and exploded under severe conditions. Based on the specific smell of the liquid in the vehicle, the invention provides the method for monitoring the environment where the vehicle body is located when the vehicle runs, and the driver is warned in time when the smell factor meeting the preset smell condition appears in the environment where the vehicle body is located, so that the driver can stop and check in time and repair pertinently, and the small problem of liquid leakage is prevented from causing the big problem of traffic accidents, explosions or fire.
The driver generally has limited knowledge about the vehicle body structure, and cannot accurately check the problem area after parking to a safe position, and when the vehicle body liquid leakage problem occurs, even if the vehicle body liquid leakage problem is sent to a maintenance center, the driver still needs to check for a long time, and even more, because the driver cannot know about the vehicle maintenance and can only listen to the opinion of the maintenance center, some unnecessary expenses are easily generated. Based on this, after the functional damage suggestion is generated by the odor factor abnormality, the invention can also judge the position of the possible damage of the vehicle by collecting the sound of the running vehicle. For example, when the damage location occurs in the engine area, costly repairs can be accepted. Or, when the antifreeze is leaked and the damaged position occurs in the antifreeze storage area, the pressure relief valve device is considered to be in problem during maintenance, and the owner can select maintenance or replacement based on self judgment.
Aiming at the problems generated in the prior art, the invention provides an equipment performance evaluation system which comprises a first identification module, a second identification module and an operation monitoring module. The invention adopts multiple senses to detect the equipment in operation so as to reduce errors generated by unidirectional detection, for example, the operation condition of the machine is judged only based on the sound of the machine, and the machine damage alarm sent by the system can mislead a user, so that the user spends a great deal of time on troubleshooting the machine. For example, the brake disc of a new car can generate vibration friction sound or sharp thread sound when braking because the brake disc is not ground. Or, in windy and sandy weather or when dust is large, sand particles or dust particles enter between parts to enable the running vehicle to be hoarse, but foreign matters can be removed through acting force generated by running of the vehicle, so that the user is not required to waste energy and time for overhauling when the abnormal sounds occur.
The operation monitoring module can generate a machine operation evaluation report based on the first identification information collected by the first identification module and the second identification information collected by the second identification module. The first identification module collects first identification information and sends the first identification information to the operation monitoring module. The second identification module collects second identification information and sends the second identification information to the operation monitoring module. The operation monitoring module generates a machine operation assessment report. The operation monitoring module can generate mechanical operation evaluation reports in different file formats. And the operation monitoring module sends the mechanical operation evaluation report to a mobile terminal of a vehicle owner or a user. The operation monitoring module can also send a machine operation evaluation report to the vehicle central control device. Or, based on the file type of the mechanical operation evaluation report, the central control device broadcasts the mechanical operation evaluation report to the personnel in the vehicle in the form of images or voice. The mechanical operation evaluation report can warn or warn vehicle problems, so that vehicle related personnel can determine specific vehicle problems based on information of abnormal parts.
The machine operation evaluation report includes machine operation state information generated by the operation monitoring module based on the first identification information collected by the first identification module. The first identification module collects odor factors of the environment where the vehicle is located. When the abnormal odor factor is captured by the first identification module, the first identification module sends the generated first identification information to the operation monitoring module in the form of a data packet. Preferably, the abnormal odor factor can be a taste of a cooling fluid, a lubricating fluid, a brake fluid, an electrolyte and a refrigerant fluid required by the machine. Preferably, the abnormal odor factor can be a scorched odor resulting from abnormal spontaneous combustion of the machine or from excessive friction. Preferably, the machine operation state information can be normal operation of the vehicle or abnormal operation of the vehicle, and more specifically, when the vehicle is abnormally operated, the information collected by the first recognition module can be reported to the operator in the form of words or voice by the operation monitoring module. For example, when a burnt smell occurs in the vehicle body, the operation monitoring module reports to the operator that a burnt smell occurs in a certain area of the vehicle. When the tire has burnt smell, the operator can reduce the speed of the vehicle to relieve the burnt smell, but when the fuel tank has burnt smell, the operator needs to directly stop the vehicle to check.
According to a preferred embodiment, the first identification module can be a gas sensor. The gas sensor collects odor molecules in the environment and generates different magnitudes of current corresponding to different odor molecules based on the influence of the odor molecules in the environment on the current transmission thereof. The gas sensor can monitor gas concentration, gas types or gas flow rate in the environment, so that the rear-end processing module can comprehensively evaluate peculiar smell in the environment. The gas sensor related to the invention can realize passive detection based on the chemical catalyst, namely, only specific odor molecules enter the first identification module and are detected by the specific detection loop of the first identification module after reacting with the specific chemical catalyst, namely, the first identification module adopted by the scheme is very power-saving even if the first identification module is in a working mode of searching for the odor molecules for a long time, the beneficial effect of the device for detecting the running state of the vehicle which needs to be arranged on machinery for a long time and is free from maintenance supervision is obvious, and the self-sustaining property, the endurance and the maintenance-free property of the device are greatly improved. Meanwhile, the vehicle body needs to be opened to expose the detection device every time the device is repaired, charged or inspected, and therefore, the self-maintenance capability of the detection device (low power consumption and low data processing performance of passive detection) can reduce the effort and time for manually maintaining the detection device.
According to a preferred embodiment, the first identification module comprises a plurality of odor sensors. Based on the volume difference and the shape specificity of different machines, the odor sensors can be respectively arranged at four point positions of the machine in the three-dimensional direction, wherein the four point positions are diagonal. The detection range of the plurality of odor sensors covers the space where the machine is located. For example, three mutually perpendicular directions are formed by extending with the mechanical center as the coordinate center, and the odor sensor is respectively arranged at any position of each direction. As shown in fig. 1, the black circle positions represent odor sensors. The range recognizable by the odor sensor is larger than that of the sound sensor, and therefore, the laying density of the odor sensor is smaller than that of the sound sensor. The odor sensor is a passively received information acquisition mode, so that each independently arranged odor sensor only needs to have the capability of sending information to the operation monitoring module. Each independently arranged odor sensor has a name in the operation monitoring module, so that the name of each odor sensor corresponds to the information of the position of the odor sensor, for example, the odor sensor a is positioned at the position of the engine facing the vehicle head. When different odor sensors send information to the operation monitoring module, the operation monitoring module can know the source position of the odor based on the transmission of the first identification information of the odor sensor with the label, namely when the odor sensor A sends the first identification information, the position of the spreading source of the identified odor factor in the direction of the engine towards the vehicle head. The name of the odor sensor enables the operation monitoring module to obtain the occurrence location of the first identification information. Preferably, since the odor sensors are capable of detecting the number of odor factors to determine the odor concentration, when the operation monitoring module receives that no less than two odor sensors transmit the first identification information, the operation monitoring module considers the position of the odor sensor with the largest number of odor factors as the odor propagation source.
According to a preferred embodiment, the operation monitoring module can be provided with a basis for the option of opening the second identification module, based on the difference in the type of oil used by the different parts. For example, the engine only uses one type and two types of oil, the exhaust pipe only uses three types of oil, and when the odor factors collected by the first identification module only exist in one type of oil or two types of oil, the operation monitoring module can not start the sound sensor arranged on the exhaust pipe, so that the energy consumption is reduced.
According to a preferred embodiment, the second recognition module captures sounds emitted during operation of the vehicle. And the second identification module sends second identification information containing the collected sound to the operation monitoring module in the form of a data packet. The operation monitoring module compares the sound ripples of the second identification information based on the database of the operation monitoring module or the daily collected vehicle operation sound so as to find the operation sound with abnormal change in tone, volume or tone or the abnormal sound which appears suddenly. For example, the booming tone of the engine becomes high. Preferably, the database of the operation monitoring module is a sound fingerprint database which is extracted from daily collection or network and contains sounds related to the operation of the machine.
The machine operation evaluation report also comprises a position of abnormal operation of the machine, which is confirmed by the operation monitoring module in response to the acquisition of the second identification information by the second identification module triggered by the operation monitoring module when the operation state of the machine is abnormal. The second recognition module for voice recognition is active acquisition. The second identification module is used for abnormal starting based on the odor factors identified by the first identification module. Specifically, when the operation monitoring module generates a report that the machine is damaged based on the first identification information, the operation monitoring module triggers the second identification module to start up. Preferably, the second sensor arranged at multiple points can be controlled by the operation monitoring module in a wireless mode and is completely opened.
According to a preferred embodiment, the operation monitoring module is capable of selectively turning on the second sensor in a manner to reduce power consumption, based on the position where the smell contained in the first identification information transmitted by the first identification module occurs. The operation monitoring module turns on a second sensor covering a detection area of the position where the smell occurs, centering on the position where the smell occurs. The first identification information determines the abnormal position, so that the data acquisition amount of the second identification information of the second identification module is reduced, the data amount required to be processed by the operation monitoring module is reduced, and the monitoring difficulty is reduced. Meanwhile, as the data amount processing is reduced, the hardware requirement on the data processing is reduced.
According to a preferred embodiment, the second recognition module is a sound sensor. The sound sensor can collect sound in the environment and convert collected sound signals into data which can be identified by the back-end processing module. Superior foodAlternatively, the acoustic sensor can be a MEMS array pickup element. The maximum detection distance of the acoustic sensor is 1m 3 。
According to a preferred embodiment, the second identification module comprises a second sensor, wherein a plurality of second sensors are arranged at multiple positions of the machine, so that the operation monitoring module confirms the position of the abnormal operation of the machine based on second identification information transmitted by the plurality of second sensors, as shown in fig. 1, white circles represent the position distribution of the second sensors in the vehicle. The second sensors arranged at different positions have different detection areas, and the detection areas of the plurality of second sensors can cover the areas where all parts of the machine are located. The second sensors at different locations have different location tags to facilitate differentiation of each region. Preferably, the machine is provided with five second sensors, respectively a second sensor a, a second sensor B, a second sensor C, a second sensor D and a second sensor E. The detection ranges between the five second sensors can have partially overlapping regions, but not completely overlapping. The detection ranges of the five second sensors can cover all the areas where the mechanical parts are present. The second sensor a is provided on the engine. The second sensor B is disposed inside one of the exhaust pipes. The second sensor C is disposed on a side of the oil tank facing the ground. The second sensor D is arranged in the middle of the chassis. The second sensor E is provided on the vehicle body battery.
According to a preferred embodiment, a second sensor focus monitoring area is provided on the basis of the part area in which there is a risk of combustion or explosion inside the machine, wherein the accuracy and/or density of the second sensors provided in the second sensor focus monitoring area is higher than the second sensors provided in the second sensor non-focus monitoring area. Parts of the machine may cause spontaneous ignition or explosion inside the machine. And carrying out sound monitoring or sound emphasis monitoring on the operation of the part. And the sound monitoring is that the second sensors are distributed only in the area where the part of the part exists, and the sound monitoring is carried out only on the part of the area. The sound emphasis monitoring is that the detection range of the second sensor covers the areas where all mechanical parts are located, but the distribution density of the second sensor is increased in the area where part of parts possibly causing spontaneous combustion or explosion in the machine are located, or the sound monitoring precision of the part of parts by the second sensor is improved by increasing the power/energy consumption/operation area of the second sensor, so that the detection accuracy can be effectively improved.
According to a preferred embodiment, the method of increasing the distribution density of the second sensors is such that the distribution density of the second sensors differs in the areas where different parts are located. For example, an engine area, a densely-wired area, a fuel tank area, and an exhaust pipe catalytic reactor area are highly disaster areas. The high incidence disaster area can be a second sensor focus monitoring area. And arranging a second sensor with density higher than that of other areas of the vehicle body aiming at the high disaster area. Further, since the area of the engine is large, four second sensors are provided in the engine area. Two second sensors are arranged in the area where the wires are densely distributed. Since the tank may have a leakage problem, two second sensors are provided on the side of the tank facing the ground and on the opposite side thereof. The exhaust pipe catalytic reactor zone is set based on the number of exhaust pipes, i.e., one second sensor is provided for each exhaust pipe catalytic reactor zone.
According to a preferred embodiment, the method for improving the sound monitoring accuracy of the second sensor on the part of the part causing spontaneous combustion or explosion in the machine by increasing the power consumption of the second sensor is to reduce background noise, white noise or unstable and random jitter which may be generated in the sound collection process. The noise includes noise generated by a mechanical structure per se, flicker noise and high-frequency noise. The second sensor can reduce the noise in the sound information through automatic test and calibration before each use, and realize the stability of data output through test and calibration at the current temperature. Also, the second sensor may generate more power consumption than a conventional acoustic sensor due to real-time calibration or calibration at a single use. By arranging the high-precision second sensor in the key area, abnormal sounds generated in the key area such as an engine, an oil tank and the like can be captured in time, particularly when the mechanical operation generates operation sounds for covering abnormal sound noises.
According to a preferred embodiment, the machine comprises a vehicle burning oil or using other energy sources. The machine can be a vehicle traveling on a road surface, an aircraft flying in the sky, or a train moving at high speed along a track. In the invention, because the related monitoring means comprises smell and sound, the machine at least needs to emit sound when running, and generates abnormal sound when running abnormity occurs. The machine may be a vehicle for daily use, or may be a movable robot arm for non-daily use.
According to a preferred embodiment, the odor sensor is capable of recognizing odors generated by oils including engine oil, transmission oil, power steering oil, antifreeze, brake fluid, lubricating oil, air-conditioning condensate, and plastic scorch.
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Drawings
Fig. 1 is a diagram illustrating a distribution of sensors on a vehicle according to the present invention.
Detailed Description
The following detailed description is made with reference to the accompanying drawings.
The detection system of the invention can capture abnormal odor generated by machinery through the odor sensor. Responsive odor anomalies can occur due to functional damage to the machine during operation or movement, such as fluid leakage, spontaneous combustion producing burning odors, excessive friction of components (e.g., tires) in contact with the ground. Whether the machine operates normally is analyzed through capturing abnormal odor generated by the machine. However, when the damage of the machine is not limited to the influence on the operation of the machine, for example, the vehicle body is inclined due to the combustion of the vehicle body caused by the leakage of liquid or the self-ignition of the components in contact with the ground due to excessive friction, it is necessary to check the approximate location of the damage of the machine in time. The invention monitors the mechanical structure through sound identification and finds out the abnormal position of the running sound in time. When the mechanical damage area is known, the fire extinguishing mode can be selected in time according to the type of the part, and the fire is extinguished only aiming at the damage part. Therefore, the fire position can be timely put out, and the wrong operation of water sprayed on the power equipment can be avoided.
According to the invention, the running state of the machine is judged by monitoring the abnormality of the mechanical sound and the smell, and the damage position is found in time when the machine is damaged, so that an early warning is provided for an operator of the machine, and therefore, the abnormal condition of the machine is found in advance, on one hand, the degree of the mechanical damage can be reduced by finding the abnormal condition of the machine in advance, and the cost and the difficulty of maintenance are reduced; on the other hand, the mechanical abnormality has a great possibility of causing fire or explosion, and people can be prevented from being injured by the machinery by finding the mechanical abnormality in advance and performing safe operation aiming at an abnormal area.
Example 1
When the machinery is a vehicle, the system can monitor the running state and damage of the vehicle.
When the automobile runs, the automobile generates smell to be dissipated to the first identification module. When a part in the detection range of the first identification module is damaged and peculiar smell is generated, such as leakage of an oil tank, the first identification module collects the smell of the gasoline.
Specifically, the odor sensor a located closest to the fuel tank obtains the first identification information a. The odor sensor B located on the three-way catalyst obtains the first identification information B. The operation monitoring module performs data analysis based on the first identification information transmitted by the multi-site odor sensor. The concentration of the odor factor of the first identification information A is higher than that of the odor factor of the second identification information B, so that the operation monitoring module obtains information of abnormal conditions of the oil tank area.
According to a preferred embodiment, the odor sensor senses the odor factor of the gasoline even if the gasoline does not leak, since the gasoline escapes in a high temperature environment. Based on this, the condition for triggering the operation monitoring module to confirm that the oil tank leaks can be that the concentration of the odor factor reaches the first threshold value. Preferably, the first threshold can be a concentration at which the substance escapes outwardly in the sealed container in a high temperature environment. The temperature of the high temperature environment refers to the highest temperature of daily life, which can be 55 °.
And the position of the abnormal operation of the machine is confirmed by responding to the acquisition of the second identification information by the second identification module triggered by the operation monitoring module when the abnormal operation state of the machine occurs. The operation monitoring module controls the second identification module to start up based on the odor factor of the gasoline identified by the first identification information A.
The operation monitoring module can selectively open the second sensor of the area where the oil tank is located based on the position information of the mechanical abnormality. Such as a fuel tank, a fuel filter, a torsion beam, a longitudinal swing arm, a second sensor on a terminal muffler. Alternatively, the operation monitoring module can switch on all the second sensors located on the vehicle. The second sensor in the working state collects the sound generated in the detection area and sends the collected second identification information to the operation monitoring module.
The mechanical motion state includes a normally functioning state and an abnormally functioning state. For example, the vehicle body can normally run on a road and is in a normal mechanical motion state without any abnormal behavior affecting driving. When the vehicle body is abnormal in running (for example, the steering lamp cannot be turned on), the abnormal mechanical running state is indicated.
The abnormal odor factor refers to the odor factor generated by the material dispersed in the environment caused by the leakage of the material existing in the interior of the machine due to the failure of the mechanical structure. For example, the gasoline stored in the fuel tank leaks to the outside of the vehicle body due to a failure of the fuel tank, and the gasoline on the outside of the vehicle body dissipates the odor of the gasoline.
And setting a second sensor key monitoring area based on the part area with the combustion or explosion risk in the machine, wherein the precision and/or density of a second sensor arranged in the second sensor key monitoring area are higher than those of a second sensor arranged in a non-key monitoring area of the second sensor. The areas inside the vehicle that are flammable and combustible are the fuel tank and the engine, and therefore the accuracy and/or density of the second sensors located in the fuel tank and the engine is higher than the accuracy and/or density of the second sensors in other areas.
The operation monitoring module compares sound ripples of the second identification information collected by each second sensor to find operation sounds which are abnormally changed in tone, volume or tone or abnormal sounds which suddenly appear. When the sound collected by the second sensor A is found to be abnormal, the operation monitoring module obtains the position information of the abnormal state based on the stored position information of the second sensor A.
It should be noted here that even though the odor sensor can provide the operation monitoring module with the position information of the abnormal state by means of multi-point distribution, the odor detection cannot contribute to the fine positioning of the abnormal state due to the dissipation capability of the odor factor. The detection of the odor factors can only be positioned in the front, back, left, right, upper and lower directions of the vehicle, so that the operation monitoring module obtains the information of the abnormal state of a certain direction of the vehicle. The sound sensor can monitor the specific operation state of each part based on the superiority of solid propagation. The detection of the odor factor is used for providing direction for the detection of the sound sensor so as to reduce the detection range of the sound sensor, thereby improving the energy consumption efficiency of the operation of the system.
Based on the information, the operation monitoring module generates a machine operation assessment report including the vehicle operating state and the wear location. Preferably, the machine operation evaluation report is also capable of confirming the type of leaking liquid or whether it is a scorching smell based on the smell factor detected by the operation monitoring module.
The machine operation evaluation report is broadcast to the driver in the form of an audio-visual or video on the display screen or sound box of the vehicle. The driver can in time stop the vehicle according to broadcasting the content, sparse personnel on personnel and the vehicle on every side, if the harm is still steerable, the driver can carry out artifical cooling or put out a fire to the loss position in advance through fire extinguishing apparatus.
The fuel tank in this embodiment can also be replaced with a battery in an electric vehicle. The vehicle body can be triggered to explode due to liquid leakage of the battery, when a driver finds that the battery breaks down due to the broadcasting content of the mechanical operation evaluation report, the vehicle can be stopped in time, the fire extinguishing apparatus for battery combustion is adopted to control disasters, and the problem of explosion caused by the fact that the driver uses water to extinguish fire in the battery in confusion when the fire is strong is solved.
The vehicle in this embodiment can be a car, truck, van, or motorcycle for everyday use. The vehicle can also be a storage battery car, an express delivery transfer car and a storage trolley which use a storage battery as power.
Example 2
The machine can be a robotic arm or other large piece of machinery that needs to undertake work in an in-line factory. In the present embodiment, the robot arm is taken as an example for detailed description.
When the mechanical arm runs, burnt odor generated by the mechanical arm is dissipated to the first identification module. When the part in the detection range of the first identification module is damaged and generates peculiar smell, the first identification module collects the taste of glue or plastic scorched paste.
Specifically, the odor sensor a 'located closest to the swing oil (gas) cylinder obtains first identification information a'. The odor sensor B 'located on the motor obtains the first identification information B'. The operation monitoring module performs data analysis based on the first identification information transmitted by the multi-site odor sensor. The first identification information A 'is higher in odor factor concentration than the second identification information B', so that the operation monitoring module obtains information that an abnormal condition occurs in the swing oil (gas) cylinder area.
And the abnormal operation position of the mechanical arm is confirmed by responding to the acquisition of the second identification information by the second identification module triggered by the operation monitoring module when the operation state of the mechanical arm is abnormal. The operation monitoring module controls the second identification module to start up based on the odor factor of the glue or plastic scorch identified by the first identification information A.
The operation monitoring module can selectively turn on a second sensor of an area where a swing oil (gas) cylinder is located based on position information of the mechanical abnormality. For example a second sensor on the oscillating oil (gas) cylinder or the motor. Alternatively, the operation monitoring module can switch on all the second sensors located on the vehicle. The second sensor in the working state collects the sound generated in the detection area of the second sensor and sends the collected second identification information to the operation monitoring module.
The operation monitoring module compares sound ripples of the second identification information collected by each second sensor to find operation sounds which are abnormally changed in tone, volume or tone or abnormal sounds which suddenly appear. When the abnormal sound collected by the second sensor A 'is found, the operation monitoring module obtains the position information of the abnormal state based on the stored position information of the second sensor A'.
Based on the information, the operation monitoring module generates a mechanical operation evaluation report containing the operation state and the loss position of the mechanical arm. The mechanical operation evaluation report is sent to a mobile terminal of an operator operating the mechanical arm in an audio-visual or video mode or is broadcasted on a display screen of the mechanical arm. The operator can in time close the arm according to broadcasting the content, avoids the further loss of arm.
Example 3
The system can also be applied to monitoring of the automobile battery pack.
According to a preferred embodiment, the battery pack can be a battery pack formed by serially connecting lithium batteries or a plurality of soft package lithium batteries and provided with a protective shell in a sleeved mode.
The first identification module and the second identification module are integrated to form information acquisition sensing equipment and are respectively arranged on each independent lithium battery soft pack in the battery pack. When one of the lithium battery packs is slightly cracked but the liquid in the lithium battery pack is not discharged, the first identification module can preferentially acquire the odor of the chemical substance based on the odor of the chemical substance drifting out of the pack. The operation monitoring module generates operation state information of the battery pack based on the information collected by the first identification module. When the liquid in the lithium battery soft package does not flow out, the operation sound of the lithium battery soft package is not changed, and the triggered second identification module does not collect abnormal sound. The operation monitoring module issues a warning but allows the driver to approach the vehicle. At this time, the vehicle stop is the first priority. Specifically, the operation monitoring module can remind a driver or related personnel to park in time and check the state of the battery pack so as to eliminate dangers in time under the actions of automatically cutting off the power supply of the battery by the driver and the related personnel and the like. At this time, the battery pack is bulged or opened, but no danger occurs, and a driver can pull out the electric wire connected with the battery close to the vehicle to prevent the battery pack from being ignited.
When the second recognition module collects abnormal sounds, the operation monitoring module considers that the battery pack has leaked and affects the operation of the vehicle by combining the information collected by the first recognition module, and warns drivers and people around the vehicle to be far away from the vehicle so as to protect human bodies as a first priority and wait for fire fighting to remove dangers. In particular, the system in the above state is able to trigger a human body detection unit, such as an infrared sensor. The operation monitoring module can send out obvious alarm, such as a sharp horn sound, when detecting that the distance of a human body approaching the vehicle is less than the safe distance based on the human body detection unit, so as to prevent people falling with carelessness from approaching and being injured.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents. The present description contains a plurality of inventive concepts such as "preferably", "according to a preferred embodiment" or "optionally" each indicating that the respective paragraph discloses a separate concept, the applicant reserves the right to apply for divisional applications according to each inventive concept. Throughout this document, the features referred to as "preferably" are only optional and should not be understood as necessarily requiring that such applicant reserves the right to disclaim or delete any relevant preferred feature at any time.
Claims (10)
1. An equipment performance evaluation system comprises a first identification module, a second identification module and an operation monitoring module,
the operation monitoring module is capable of generating a machine operation evaluation report based on first identification information collected by the first identification module and second identification information collected by the second identification module, wherein,
the machine operation evaluation report includes machine operation state information generated by the operation monitoring module based on the first identification information collected by the first identification module;
the machine operation evaluation report further includes a position of the abnormal operation of the machine confirmed by the operation monitoring module in response to the acquisition of the second identification information by the second identification module triggered by the operation monitoring module when the machine operation state is abnormal.
2. The evaluation system of claim 1, wherein the second identification module comprises a second sensor, wherein a plurality of second sensors are disposed at the plurality of machine sites, such that the operation monitoring module identifies the location of the abnormal operation of the machine based on second identification information transmitted by the plurality of second sensors.
3. The evaluation system according to claim 1 or 2, wherein the first recognition module collects odor factors of an environment in which the vehicle is located, and when an abnormal odor factor is captured by the first recognition module, the first recognition module transmits the generated first recognition information to the operation monitoring module in the form of a data packet.
4. The evaluation system according to any one of claims 1 to 3, wherein the first identification module comprises a plurality of odor sensors, and the detection ranges of the plurality of odor sensors cover a space where the machine is located, wherein the odor sensors have names corresponding to information of locations where the odor sensors are located in the operation monitoring module, so that the operation monitoring module can obtain the occurrence locations of the first identification information.
5. The evaluation system according to any one of claims 1 to 4, wherein the second recognition module is turned on abnormally based on the odor factor recognized by the first recognition module, and the second recognition module in the turned-on state collects sounds emitted during the operation of the machine and transmits the sounds to the operation monitoring module, wherein the operation monitoring module compares the second recognition information with sound ripples based on its own database or the daily collected sounds of the operation of the vehicle.
6. The evaluation system according to any one of claims 1 to 5, wherein the operation monitoring module is capable of selectively turning on the second sensor in a manner of reducing power consumption based on a position where the smell contained in the first identification information transmitted by the first identification module occurs.
7. The evaluation system according to any one of claims 1 to 6, wherein a second sensor focus monitoring area is provided based on a part area in which there is a risk of combustion or explosion inside the machine, wherein the second sensor provided in the second sensor focus monitoring area has a higher accuracy and/or density than the second sensor provided in a second sensor non-focus monitoring area, so as to improve the capability of the evaluation system to detect abnormalities that may cause damage to a crowd inside or around the machine.
8. The evaluation system of any one of claims 1 to 7, wherein the second sensor is a MEMS array pickup element.
9. The evaluation system according to any one of claims 1 to 8, wherein the operation monitoring module is capable of generating the machine operation evaluation report in different file formats, so that the machine operation evaluation report can be broadcast to a machine operator in the form of sound or image.
10. The evaluation system according to any one of claims 1 to 9, wherein the distribution density of the second sensor on the machine is larger than the distribution density of the gas sensor on the machine.
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| CN202210527326.4A Pending CN114937500A (en) | 2021-11-11 | 2022-05-13 | Sound and gas composite detection system and method |
| CN202210602944.0A Active CN115019480B (en) | 2021-11-11 | 2022-05-27 | System and method for monitoring sound and gas exposure |
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| CN202210527060.3A Pending CN114837746A (en) | 2021-11-11 | 2022-05-13 | Detection system for gas sensitive detection |
| CN202210527326.4A Pending CN114937500A (en) | 2021-11-11 | 2022-05-13 | Sound and gas composite detection system and method |
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