CN115567190A - Method, medium and system for monitoring training state of smoking vehicle by adopting AR glasses - Google Patents
Method, medium and system for monitoring training state of smoking vehicle by adopting AR glasses Download PDFInfo
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Abstract
The invention provides a method, a medium and a system for monitoring training states of a smoking vehicle by adopting AR glasses, and relates to the technical field of training smoking vehicles, wherein the method comprises the following steps: obtaining an abnormal image of the fuming vehicle by using AR glasses with the fuming vehicle state data inside; the AR glasses process the abnormal images to obtain training state diagnosis data, the training state diagnosis data are retrieved from the fuming vehicle state data, training state monitoring data corresponding to the training state diagnosis data are obtained, and a user carries out state monitoring; when the training state monitoring data cannot meet the monitoring requirements of the fuming vehicle, the AR glasses generate a self report, establish safe and reliable communication with the command center server according to the state parameters of the fuming vehicle, and enter a collaborative diagnosis process. The method can solve the technical problems of improving the efficiency of cooperative command diagnosis and realizing reliable and safe data transmission in the cooperative command process according to the smoke range of the smoke vehicle and the specific state data of the smoke concentration.
Description
Technical Field
The invention belongs to the technical field of training equipment, and particularly relates to a method, a medium and a system for monitoring training states of a smoking vehicle by using AR (augmented reality) glasses.
Background
The AR glasses are adopted in the field to monitor the training state of the equipment, the quality requirement on smoke vehicle diagnosticians is particularly high, the smoke vehicle diagnosticians often need the inspection and diagnosis knowledge and experience of various smoke vehicles, and along with the fact that the fineness of the smoke vehicles for training is higher and higher, the smoke vehicles for training need to be diagnosed in a command cooperation mode; currently, the most suitable command coordination mode diagnosis is to realize coordination command of a command center and a training position through a remote video mode.
Because the communication mode of the fuming vehicle formation and the command center is single and a reliable data transmission network is lacked, the data communication between the fuming vehicle formation equipment and the command center is often realized in a fuming vehicle Mesh ad hoc network mode; the smoking vehicle is a common field smoking vehicle, is provided with a smoking device, and is also provided with networking equipment in a plurality of current smoking vehicles. Mesh is interpreted as a Mesh, which is also called a wireless Mesh network, that is, all nodes in the network are connected with each other in a wireless mode to form an integral network. Traditional communication networks have fixed base stations and mobile handsets, whereas Mesh networks have no fixed infrastructure, in which all nodes are dynamic. In such a network, due to the limited wireless coverage, two nodes that cannot directly communicate can forward packets via other nodes to connect any node in the network. The Mesh basic structure comprises a star structure, a linear structure, a ring structure, a net structure and the like.
During training, the convenience of cooperative command and the safety of data transmission need to be considered in the diagnosis process of the training smoke generating car, and diagnosis cannot be well cooperatively commanded directly through remote video command, so that the diagnosis efficiency is influenced; the following technical problems exist: because the car of being fuming connects between adopting wireless mode, owing to receive the smog scope that the car of being fuming sent, the influence of smog concentration can cause the decay among the wireless signal transmission process, causes wireless transmission distance short excessively, and along with the increase of car distance of being fuming, wireless transmission's power also can be big more simultaneously, and the electric quantity of consumption is also big more with the risk of being intercepted and cut off, can not carry out reliable data security transmission.
Disclosure of Invention
In view of the above, the invention provides a method, medium and system for monitoring training state of a smoking vehicle by using AR glasses, which can improve efficiency of cooperative command diagnosis and realize reliable and safe data transmission in a cooperative command process according to specific state data of smoke range and smoke concentration of the smoking vehicle.
The invention is realized by the following steps:
the invention provides a method for monitoring training states of a smoking vehicle by adopting AR glasses, which comprises the following steps:
s10: acquiring an abnormal image of a fuming vehicle by using AR glasses capable of loading fuming vehicle training state diagnostic data;
s20: the central control unit arranged in the AR glasses identifies the abnormal images to obtain training state monitoring data, matching and searching are carried out on the training state monitoring data in the loaded training state diagnosis data, and training state diagnosis data corresponding to the training state monitoring data are obtained;
s30: when the running maintenance of the fuming vehicle cannot be completed according to training state diagnosis data provided by the AR glasses, the AR glasses generate self-diagnosis reports and enter a collaborative diagnosis process under a networking mode of a plurality of fuming vehicles, and in the collaborative diagnosis process, safe transmission power is selected according to environmental smoke;
s40: the AR glasses record videos of the collaborative diagnosis process completed by the expert, and send the videos of the collaborative diagnosis process of the expert to a server side of a command center;
s50: and the server side of the command center preferentially updates the diagnosis database of the server side according to the received video of the expert cooperative diagnosis process.
The training state monitoring data are current operating parameters of the fuming vehicle, and the training state diagnostic data comprise standard operating parameters of the fuming vehicle and floatable intervals of the standard operating parameters; wherein the operating parameters include at least: the smoking vehicle comprises a training mode, a component connection state, a power supply parameter, a temperature parameter, a starting parameter and a cooling parameter of the smoking vehicle; the operation maintenance comprises the adjustment of the current operation parameters of the fuming vehicle, the evaluation of the service life of the fuming vehicle, the abnormal early warning state and the like.
Wherein, the steps of the collaborative diagnosis process are specifically as follows:
the first step is as follows: dividing the whole training field into a plurality of communication areas;
the second step: the communication unit arranged in the AR glasses is communicated with the server side of the command center through the fuming vehicle cluster, and initiates a diagnosis cooperation request and video connection;
wherein the diagnosis cooperation request is composed of training state monitoring data, training state diagnosis data and a self-diagnosis report of the AR glasses.
The third step: the server side transmits the checking and guiding steps of the expert personnel of the command center and the experience information to the AR glasses initiating the diagnosis cooperation request in a video form;
the fourth step: the AR glasses initiating the diagnosis cooperation request display the received checking and guiding steps and experience information to realize the state diagnosis of the equipment;
the fifth step: the AR glasses record the inspection and diagnostic steps of the troubleshooting personnel as a video of the collaborative diagnostic process.
The step of communication between the communication unit arranged in the AR glasses and the server side of the command center through the fuming vehicle cluster specifically comprises the following steps:
the first step is as follows: each fuming vehicle transmits fuming vehicle parameters to a command center server end through a built-in Beidou module, wherein the fuming vehicle parameters comprise the position, the electric quantity, the MAC address and a connection password of the fuming vehicle;
the second step: the command center server side replies parameters of the communication area to which each fuming vehicle belongs through the Beidou satellite; wherein at least two or more smoking vehicles are present in each communication area;
the third step: the first smoking vehicle to which the AR glasses initiating the diagnosis cooperation request belong serves as a data sending end, the first smoking vehicle sends the training state monitoring data to an adjacent area and transmits the training state monitoring data to a second smoking vehicle which is preferably selected in the adjacent area, and meanwhile, the Beidou satellite sends the check code of the training state monitoring data to all smoking vehicles in the adjacent area;
the fourth step: repeating the third step, in the adjacent area, the second smoking vehicle is used as the first smoking vehicle, relay transmission is carried out until the adjacent area is the area where the command center is located, and the first smoking vehicle can be directly in communication connection with the server side of the command center.
Wherein preferably the process of the second smoking vehicle comprises: finding the fuming vehicle with the optimal data transmission safety index of the first fuming vehicle as a data forwarding node by adopting a preferred sorting method, wherein the data forwarding node is the second fuming vehicle, the distance between the data forwarding node and the command center is smaller than the distance between the data transmitting end and the command center,
the data transmission safety index refers to a distance between a data sending end and a data forwarding node in a data transmission process and a value obtained after superposition processing of the lowest electric quantity of the data sending end and the lowest electric quantity of the data forwarding node, wherein the formula of the data transmission safety index is as follows:
in the formula (I), the compound is shown in the specification,
a data transmission safety index representing a transmission process from a data transmitting end to a data forwarding node;
the distance between a data sending end and a data forwarding node is represented;
the distance between a data sending end and a command center is represented; the ratio of the battery power consumed by the data transmitting end for transmitting the data to the data forwarding node to the power of the battery of the transmitting end before data transmission is represented, wherein the minimum value of i is 1, and the maximum value of i is the number n of the smoking vehicles.
The following formula is a calculation formula of an optimal data transmission safety index optimal sorting method of the 1 st to the n th fuming vehicles:
in the formula (I), the compound is shown in the specification,
the optimal data transmission safety index is the corresponding ith node, namely the data forwarding node;
the process of passing through big dipper satellite will training state monitoring data's check code send to all fuming cars in the adjacent region includes:
sending the check code to a Beidou satellite, and sending the check code to all fuming vehicles in the adjacent area by the Beidou satellite;
the first smoke vehicle sets the highest radio transmitting power of the first smoke vehicle according to the range and the concentration of smoke emitted by the first smoke vehicle, and the formula for setting the radio transmitting power is as follows:
wherein E represents the radio transmission power of the first smoking vehicle;
representing the number of smoking vehicles in the vicinity,
indicating the radio reception power of a smoking vehicle in the vicinity; represents an index of radio transmission loss caused by smoke of 1 mg/cubic meter,
represents the smoke concentration;
represents the index of the radio transmission loss caused in the smoke range of 1 square meter,
representing the component of the smoke range on the straight line of travel.
The specific steps that the server side of the command center preferentially updates the server side database according to the received videos of the diagnosis personnel collaborative diagnosis process comprise:
the first step is as follows: the server-side orders videos of a plurality of received collaborative diagnosis processes of the same training state diagnosis data according to diagnosis quality, time and cost;
the second step is that: selecting the first sequenced collaborative diagnosis process video as an optimal diagnosis experience;
the third step: and updating the optimal diagnosis experience to a diagnosis database of the server side.
The diagnosis database at the server end comprises training state monitoring data and diagnosis experience data of the smoking vehicle.
A second aspect of the invention provides a computer readable storage medium having computer program instructions stored thereon; the computer program instructions, when executed by the processor, implement a method of monitoring a training status of a smoking vehicle using AR glasses as described above.
The invention provides a system for monitoring training states of smoking cars by adopting AR glasses, which comprises the AR glasses, a plurality of smoking cars and a server side located in a command center, wherein codes of the computer-readable storage media are contained in the smoking cars and/or the AR glasses.
The beneficial effects of the invention include: the AR glasses are internally provided with training state monitoring data of the fuming vehicle, can acquire abnormal images of the fuming vehicle and perform state diagnosis, perform retrieval based on the training state monitoring data, quickly acquire training state monitoring data corresponding to the training state diagnosis data, guide fault diagnosis personnel to diagnose, and have high diagnosis efficiency; particularly, in the data transmission process, the second fuming vehicle for data transmission can be flexibly selected through the group sending check codes of the multiple regions, so that confidential transmission is realized; on the other hand, the wireless transmission power of the fuming vehicle can be limited according to the smoke range and the smoke concentration sent by the fuming vehicle, and the safety of information transmission is guaranteed. When the training state monitoring data can not guide completion of state diagnosis, reliable safety data communication is established between the communication module arranged in the AR glasses and a server of a command center, and expert personnel of the command center conduct collaborative command diagnosis, so that prejudgment on the service life and the fault rate of the fuming vehicle can be realized, the efficiency of training fuming vehicle diagnosis is greatly improved, and the data transmission safety in the collaborative command diagnosis process is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments of the present invention will be briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a flowchart of a method for monitoring training states of a smoking vehicle by using AR glasses according to the present invention.
Fig. 2 is a schematic flowchart of a step of establishing communication between a smoking vehicle cluster and a server side of a command center by using a communication unit built in AR glasses according to a first embodiment of the present invention.
Fig. 3 is a schematic flowchart of a step of establishing communication between a smoking vehicle cluster and a server side of a command center by using a communication unit built in AR glasses according to a second embodiment of the present invention.
Fig. 4 is a schematic diagram of the encryption and decryption process of the DES encryption algorithm.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive efforts based on the embodiments of the present invention, are within the scope of protection of the present invention.
Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.
In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
Example one
As shown in fig. 1, the first embodiment of the method for monitoring training status of a smoking vehicle by using AR glasses according to the present invention includes the following steps:
s10: acquiring an abnormal image of a smoking vehicle by using AR glasses capable of loading training state diagnostic data of the smoking vehicle, wherein the abnormal image comprises: the method comprises the following steps of (1) obtaining an abnormal image of a smoking vehicle assembly mode, an abnormal image of parameters such as smoking vehicle position abnormal image, smoking vehicle temperature and power supply, an abnormal image of smoking vehicle operation and the like; the apparatus of the drawings may be a smoking vehicle.
S20: a central control unit arranged in the AR glasses identifies the abnormal images to obtain training state monitoring data, matching and searching the training state monitoring data in the loaded training state diagnostic data, and obtaining training state diagnostic data corresponding to the training state monitoring data; for example, the monitoring data is compared with the images in the diagnostic data through the similarity of the images, so as to analyze the current operation state, such as whether the smoking vehicle is fatigued or not, whether the smoking vehicle has a fault or not, and the like. Whether the operation parameters such as electric quantity, temperature and humidity are abnormal or not, whether the operation parameters enter a fault state or not and the like.
S30: when the running maintenance of the fuming vehicle cannot be completed according to training state diagnosis data provided by the AR glasses, the AR glasses generate self-diagnosis reports and enter a collaborative diagnosis process under a networking mode of a plurality of fuming vehicles, and in the collaborative diagnosis process, safe transmission power is selected according to the environmental smoke state around the fuming vehicle, wherein the self-diagnosis reports comprise abnormal images of the current training state of the fuming vehicle, running parameters, description of field maintenance personnel on the training state of the fuming vehicle and the like; the environment smoke state around the smoking vehicle comprises the current smoking range and the current smoking concentration of the smoking vehicle;
s40: the AR glasses record videos of the collaborative diagnosis process completed by the expert, and send the videos of the collaborative diagnosis process of the expert to a server side of a command center;
s50: and the server side of the command center preferentially updates the diagnosis database of the server side according to the received video of the expert personnel collaborative diagnosis process.
The training state monitoring data are current operating parameters of the fuming vehicle, and the training state diagnostic data comprise standard operating parameters of the fuming vehicle and floatable intervals of the standard operating parameters; wherein the operating parameters include at least: training modes, component connection states, power supply parameters, temperature parameters, starting parameters and cooling parameters of the fuming vehicle; the operation maintenance comprises the adjustment of the current operation parameters of the fuming vehicle, the evaluation of the service life of the fuming vehicle, the abnormal early warning state and the like.
Wherein the steps of the collaborative diagnosis process are specifically:
the first step is as follows: the whole training field is divided into a plurality of communication areas, generally, the communication areas can be divided by taking a command center as a central point, the communication areas can be set to be squares, each communication area has the same length and width, and the side length of each square is less than half of the maximum communication distance between two smoking cars;
the second step is that: the communication unit arranged in the AR glasses is communicated with the server side of the command center through the fuming vehicle cluster, and initiates a diagnosis cooperation request and video connection;
the diagnosis cooperation request comprises training state monitoring data of the AR glasses, matched training state diagnosis data and a self-diagnosis report.
The third step: the server side transmits the checking and guiding steps of the expert personnel of the command center and the experience information to the AR glasses initiating the diagnosis cooperation request in a video form;
the fourth step: the AR glasses initiating the diagnosis cooperation request display the received checking and guiding steps and experience information to realize the state diagnosis of the equipment;
the fifth step: the AR glasses record the inspection and diagnostic steps of the troubleshooting personnel as a video of the collaborative diagnostic process.
The steps of the communication unit arranged in the AR glasses communicating with the server side of the command center through the fuming vehicle cluster specifically comprise:
the first step is as follows: each fuming vehicle transmits fuming vehicle parameters to a command center server end through a built-in Beidou module, wherein the fuming vehicle parameters comprise the position, the electric quantity, the MAC address and a connection password of the fuming vehicle;
the second step: the command center server side replies parameters of the communication area to which each fuming vehicle belongs through the Beidou satellite; wherein at least two or more smoking vehicles are present in each communication area;
the third step: the first smoking vehicle to which the AR glasses initiating the diagnosis cooperation request belong serves as a data sending end, the first smoking vehicle sends the training state monitoring data to an adjacent area and transmits the training state monitoring data to a second smoking vehicle selected in the adjacent area, and meanwhile, the Beidou satellite sends the check code of the training state monitoring data to all smoking vehicles in the adjacent area;
the data transmission protocol adopts a TCP protocol, a transmitted data stream is partitioned into message segments with proper length, in order to ensure that no packet loss occurs, a sequence number is given to each packet, and the sequence number also ensures the in-sequence reception transmitted to a data receiving end. Then the data receiving end sends back a corresponding confirmation to the successfully received packet; if the data sender does not receive an acknowledgement within a reasonable round trip delay, the corresponding data packet is assumed to be lost and will be retransmitted. Meanwhile, each data packet generates a check code by using a check function to check whether the data has errors; the check code is used for checking during sending and receiving; because in this embodiment, the check code passes through big dipper satellite transmission, does not walk the same transmission path with the data packet main part, consequently, the security secret performance in the data transmission in-process that can be very big increase. Because the check code is transmitted to all smoking vehicles in the region, and the second smoking vehicle is one of which is not fixed, it is flexible and mobile to accomplish like this and adjust which one of them is the second smoking vehicle according to the algorithm at any time, and can guarantee that no matter which one of them can both obtain the check code, the data that the analytic second smoking vehicle received.
The fourth step: and repeating the third step, wherein the second smoking vehicle is used as the first smoking vehicle in the adjacent area until the adjacent area is the area where the command center is located, and the first smoking vehicle can be directly in communication connection with the server side of the command center.
Wherein, the process of preferably selecting the second smoking vehicle comprises: finding the smoking vehicle with the optimal data transmission safety index with the first smoking vehicle as a data forwarding node by adopting a preferred sorting method, wherein the data forwarding node is the second smoking vehicle, the distance between the data forwarding node and the command center is less than the distance between the data transmitting end and the command center,
the data transmission safety index refers to a distance between a data sending end and a data forwarding node in a data transmission process and a value obtained after superposition processing of minimum electric quantities of the data sending end and the data forwarding node, wherein a formula of the data transmission safety index is as follows:
in the formula (I), the compound is shown in the specification,
a data transmission safety index representing a transmission process from a data transmitting end to a data forwarding node;
the distance between a data sending end and a data forwarding node is represented;
the distance between a data sending end and a command center is represented;
the ratio of the battery power consumed by the data transmitting end for transmitting the data to the data forwarding node to the power of the battery of the transmitting end before data transmission is represented, wherein the minimum value of i is 1, and the maximum value of i is the number n of the smoking vehicles.
The following formula is a calculation formula of an optimal data transmission safety index optimal sorting method of the 1 st to the nth fuming vehicles:
in the formula (I), the compound is shown in the specification,
the optimal data transmission safety index is the corresponding ith node, namely the data forwarding node;
the process of passing through big dipper satellite will training state monitoring data's check code send to all fuming cars in the adjacent region includes:
the check code is sent to a Beidou satellite, and the Beidou satellite sends the check code to all fuming vehicles in the adjacent area;
the first smoking vehicle sets the highest radio transmitting power of the first smoking vehicle according to the range and the concentration of the smoke emitted by the first smoking vehicle, and the formula for setting the radio transmitting power is as follows:
wherein E represents the radio transmission power of the first smoking vehicle;
representing the number of smoking vehicles in the vicinity,
radio reception power representing a smoking vehicle in the vicinity;
represents the index of radio transmission loss caused by smoke of 1 mg/cubic meter,
represents the smoke concentration;
represents the index of the radio transmission loss caused in the smoke range of 1 square meter,
representing the components of the smoke range on the transmission line. And when the data is transmitted by radio each time, the transmission of the wireless data is realized by not exceeding the current power according to the current smoke concentration, so that the transmission safety is ensured.
The specific steps that the server side of the command center preferentially updates the server side database according to the received videos of the diagnosis personnel collaborative diagnosis process comprise:
the first step is as follows: the server-side orders videos of a plurality of collaborative diagnosis processes of the received same training state diagnosis data according to diagnosis quality, time and cost;
the second step is that: selecting the first sequenced collaborative diagnosis process video as the optimal diagnosis experience;
the third step: and updating the optimal diagnosis experience to a diagnosis database of the server side.
The diagnosis database at the server end comprises training state monitoring data and diagnosis experience data of the smoking vehicle.
Example two
The second embodiment of the present invention is different from the first embodiment only in a third step of establishing communication between the fuming vehicle cluster and the server side of the command center by the communication unit built in the AR glasses, and in this embodiment, the steps specifically include:
the third step: a first smoking vehicle to which AR glasses initiating a diagnosis cooperation request belong serves as a data sending end, the first smoking vehicle sends the training state monitoring data to an adjacent area and transmits the training state monitoring data to a second smoking vehicle selected preferentially in the adjacent area, and when the second smoking vehicle cannot receive the data smoothly, another smoking vehicle is selected randomly in the adjacent area and serves as the second smoking vehicle; meanwhile, the Beidou satellite sends the check code of the training state monitoring data to all smoking vehicles in the adjacent area;
it should be noted that, the encryption algorithm uses DES encryption algorithm, DES is a typical block cipher, an algorithm that changes a plaintext with a fixed length into a ciphertext with the same length through a series of complicated operations. For DES, the block length is 64 bits. Meanwhile, DES uses a key to define the transformation process, so the algorithm considers that only the user holding the key used for encryption can decrypt the ciphertext.
As shown in fig. 4, it is a schematic diagram of DES encryption algorithm:
the entry parameters for the DES algorithm are three: key, data, mode.
Key is 64 bits with 8 bytes, and is a Key of DES algorithm;
data is also 8 bytes of 64 bits, which is Data to be encrypted or decrypted;
mode is the working Mode of DES, and there are two kinds: encryption or decryption.
When the mode is the encryption mode, the plaintext is grouped according to 64 bits to form a plaintext group, and the key is used for encrypting data. When the mode is the decryption mode, the key is used to decrypt the data.
Through the steps, the data can be sent to the server end of the command center from the AR glasses, and similarly,
the above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for monitoring training states of a smoking vehicle by adopting AR glasses is characterized by comprising the following steps:
s10: acquiring an abnormal image of a fuming vehicle by using AR glasses capable of loading fuming vehicle training state diagnostic data;
s20: the central control unit arranged in the AR glasses identifies the abnormal images to obtain training state monitoring data, matching and searching are carried out on the training state monitoring data in the loaded training state diagnosis data, and training state diagnosis data corresponding to the training state monitoring data are obtained;
s30: when the running maintenance of the fuming vehicle cannot be completed according to training state diagnosis data provided by the AR glasses, the AR glasses generate self-diagnosis reports and enter a collaborative diagnosis process under a networking mode of a plurality of fuming vehicles, and in the collaborative diagnosis process, safe transmission power is selected according to environmental smoke;
s40: the AR glasses record videos of the collaborative diagnosis process completed by the expert, and send the videos of the collaborative diagnosis process of the expert to a server side of a command center;
s50: and the server side of the command center preferentially updates the diagnosis database of the server side according to the received video of the expert cooperative diagnosis process.
2. The method for monitoring the training state of the smoking vehicle by using the AR glasses according to claim 1, wherein the state monitoring data is the current operating parameters of the smoking vehicle, and the training state diagnostic data comprises standard operating parameters of the smoking vehicle and floatable intervals of the standard operating parameters; wherein the operating parameters include at least: training mode, part connection state, power supply parameter, temperature parameter, start parameter, cooling parameter of the car of being fuming.
3. The method for monitoring the training status of the smoking vehicle by using the AR glasses according to claim 1, wherein the collaborative diagnosis process specifically comprises the following steps:
the first step is as follows: dividing the whole training field into a plurality of communication areas;
the second step is that: the communication unit arranged in the AR glasses is communicated with the server side of the command center through the fuming vehicle cluster, and initiates a diagnosis cooperation request and video connection;
the third step: the server side transmits the checking and guiding steps of the expert personnel of the command center and the experience information to the AR glasses initiating the diagnosis cooperation request in a video form;
the fourth step: the AR glasses initiating the diagnosis cooperation request display the received checking and guiding steps and experience information to realize the state diagnosis of the equipment;
the fifth step: the AR glasses record the inspection and diagnostic steps of the troubleshooting personnel as a video of the collaborative diagnostic process.
4. The method for monitoring the training state of the smoking vehicle by using the AR glasses according to claim 3, wherein the step of communicating the communication unit built in the AR glasses with the server side of the command center through the smoking vehicle cluster specifically includes:
the first step is as follows: each fuming vehicle transmits fuming vehicle parameters to a command center server end through a built-in Beidou module, wherein the fuming vehicle parameters comprise the position, the electric quantity, the MAC address and a connection password of the fuming vehicle;
the second step: the command center server side replies parameters of the communication area to which each fuming vehicle belongs through the Beidou satellite; wherein, more than two smoking vehicles exist in each communication area;
the third step: the first smoking vehicle to which the AR glasses initiating the diagnosis cooperation request belong serves as a data sending end, the first smoking vehicle sends the training state monitoring data to an adjacent area and transmits the training state monitoring data to a second smoking vehicle selected in the adjacent area, and meanwhile, the Beidou satellite sends the check code of the training state monitoring data to all smoking vehicles in the adjacent area;
the fourth step: repeating the third step, in the adjacent area, the second smoking vehicle is used as the first smoking vehicle, relay transmission is carried out until the adjacent area is the area where the command center is located, and the first smoking vehicle can be directly in communication connection with the server side of the command center.
5. The method for monitoring training status of a smoking vehicle using AR glasses according to claim 4, comprising:
the process of the preferred second smoking vehicle comprises: finding the smoking vehicle with the optimal data transmission safety index with the first smoking vehicle as a data forwarding node by adopting a preferred sorting method, wherein the data forwarding node is the second smoking vehicle, the distance between the data forwarding node and the command center is smaller than the distance between the data transmitting end and the command center,
the data transmission safety index refers to a distance between a data sending end and a data forwarding node in a data transmission process and a value obtained after superposition processing of minimum electric quantities of the data sending end and the data forwarding node, wherein a formula of the data transmission safety index is as follows:
in the formula (I), the compound is shown in the specification,
a data transmission safety index representing a transmission process from a data transmitting end to a data forwarding node;
the distance between a data sending end and a data forwarding node is represented;
the distance between a data sending end and a command center is represented;
the ratio of the electric quantity of a battery consumed by the data transmitting end for transmitting the data to the data forwarding node to the electric quantity of the battery of the transmitting end before data transmission is represented, wherein the minimum value of i is 1, and the maximum value of i is the number n of the smoking vehicles;
the following formula is a calculation formula of an optimal data transmission safety index optimal sorting method of the 1 st to the n th fuming vehicles:
in the formula (I), the compound is shown in the specification,
the optimal data transmission safety index is the corresponding ith node, namely the data forwarding node;
the process of passing through big dipper satellite will training state monitoring data's check code send to all fuming cars in the adjacent region includes:
sending the check code to a Beidou satellite, and sending the check code to all fuming vehicles in the adjacent area by the Beidou satellite;
the first smoke vehicle sets the highest radio transmitting power of the first smoke vehicle according to the range and the concentration of smoke emitted by the first smoke vehicle, and the formula for setting the radio transmitting power is as follows:
wherein E represents the radio transmission power of the first smoking vehicle;
representing the number of smoking vehicles in the vicinity,
radio reception power representing a smoking vehicle in the vicinity;
represents the index of radio transmission loss caused by smoke of 1 mg/cubic meter,
represents the smoke concentration;
represents the index of the radio transmission loss caused in the smoke range of 1 square meter,
representing the component of the smoke range on the straight line of travel.
6. The method of claim 3, wherein the diagnostic collaboration request consists of training status monitoring data, training status diagnostic data, and a self-diagnostic report of the AR glasses.
7. The method for monitoring the training state of the fuming vehicle by using the AR glasses as claimed in claim 1, wherein the step of updating the server side of the command center to the server side database according to the received video of the cooperative diagnosis process of the diagnostician specifically comprises:
the first step is as follows: the server-side orders videos of a plurality of received collaborative diagnosis processes of the same training state diagnosis data according to diagnosis quality, time and cost;
the second step: selecting the first sequenced collaborative diagnosis process video as the optimal diagnosis experience;
the third step: and updating the optimal diagnosis experience to a diagnosis database of the server side.
8. The method for monitoring the training status of the smoking vehicle by using the AR glasses according to claim 1, wherein the diagnosis database at the server side comprises training status monitoring data of the smoking vehicle and diagnosis experience data.
9. A computer-readable storage medium, characterized in that: the computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement a method of monitoring training status of a smoking vehicle using AR glasses as claimed in any one of claims 1 to 8.
10. A system for monitoring training status of a smoking vehicle by using AR glasses, comprising AR glasses, a plurality of smoking vehicles, and a server side located in a command center, wherein the smoking vehicles and/or the AR glasses contain codes of the computer-readable storage medium according to claim 9.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9983013B1 (en) * | 2016-07-08 | 2018-05-29 | Allstate Insurance Company | Automated vehicle control and guidance based on real-time blind corner navigational analysis |
| CN114003186A (en) * | 2020-07-14 | 2022-02-01 | 广州汽车集团股份有限公司 | Automobile remote diagnosis method and system |
| CN114661026A (en) * | 2021-12-31 | 2022-06-24 | 深圳顶匠科技有限公司 | Interactive vehicle remote diagnosis method and system based on augmented reality and storage medium thereof |
| CN115034413A (en) * | 2022-06-17 | 2022-09-09 | 浙江绿色慧联有限公司 | AR (augmented reality) glasses-based vehicle maintenance guidance system and method |
| CN115092289A (en) * | 2022-05-09 | 2022-09-23 | 中国第一汽车股份有限公司 | Electric appliance fault diagnosis system and method for automobile assembly workshop |
-
2022
- 2022-09-26 CN CN202211170964.1A patent/CN115567190B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9983013B1 (en) * | 2016-07-08 | 2018-05-29 | Allstate Insurance Company | Automated vehicle control and guidance based on real-time blind corner navigational analysis |
| CN114003186A (en) * | 2020-07-14 | 2022-02-01 | 广州汽车集团股份有限公司 | Automobile remote diagnosis method and system |
| CN114661026A (en) * | 2021-12-31 | 2022-06-24 | 深圳顶匠科技有限公司 | Interactive vehicle remote diagnosis method and system based on augmented reality and storage medium thereof |
| CN115092289A (en) * | 2022-05-09 | 2022-09-23 | 中国第一汽车股份有限公司 | Electric appliance fault diagnosis system and method for automobile assembly workshop |
| CN115034413A (en) * | 2022-06-17 | 2022-09-09 | 浙江绿色慧联有限公司 | AR (augmented reality) glasses-based vehicle maintenance guidance system and method |
Non-Patent Citations (1)
| Title |
|---|
| 张贵明;金梦涛;: "增强现实技术及其在汽车和汽车维修服务上的应用(二)", 汽车维护与修理, no. 09 * |
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