Intelligent management system for full-life-cycle dynamic data of vehicle-mounted equipment

Abstract

The invention discloses a full-life-cycle dynamic data intelligent management system for vehicle-mounted equipment, belongs to the technical field of vehicle-mounted equipment management, realizes real-time omnibearing supervision from purchase, sales and installation of the vehicle-mounted equipment to factory-returning maintenance / replacement, forms a private data source and an operation system, and provides an intelligent management system for the full-life-cycle dynamic data of the vehicle-mounted equipment. A static management mode of purchase-sale-stock of the vehicle-mounted equipment in the prior art is changed, dynamic management of real-time supervision on the vehicle-mounted equipment is realized, asset loss is avoided, the operation cost is reduced, and the vehicle driving risk is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle-mounted equipment management, and in particular relates to an intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle. Background Art

[0002] On-board equipment refers to various electronic devices installed in cars, which are used to improve the performance, safety, comfort and entertainment of the vehicle. For example, on-board equipment can be image acquisition equipment that collects the driving status of the driver, Beidou intelligent terminal and other equipment. With the continuous development of automotive electronic technology, the number of on-board equipment is increasing, and how to efficiently manage on-board equipment has become an urgent problem to be solved. In the existing technology, on-board equipment management mainly relies on manual inspections and regular maintenance, which has the following shortcomings: low management efficiency and inability to grasp the operating status of the equipment in real time; untimely fault detection, which can easily lead to safety hazards; maintenance plans lack pertinence and low resource utilization. Summary of the invention

[0003] The present invention provides an intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle, so as to solve the problems existing in the prior art.

[0004] An intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle, comprising: a data acquisition module, a fault monitoring module, an operation status monitoring module, a positioning monitoring module, a maintenance monitoring module, an installation review module, an installation recommendation module, and a vehicle-mounted equipment backtracking module;

[0005] The installation recommendation module is used to evaluate the comprehensive installation capability of the installation company based on the installation information of the vehicle-mounted equipment, and recommend an installation company with high comprehensive installation capability to the staff, so that the staff can select the installation company to install the vehicle-mounted equipment; the data collection module is used to collect the sales, installation and maintenance information about the vehicle-mounted equipment uploaded by the staff; and after the vehicle-mounted equipment is installed, collect the real-time sensor information of the vehicle-mounted equipment;

[0006] The installation review module is used to review the installation image in the installation information based on the installation information of the vehicle-mounted device using an image recognition algorithm to determine the installation status;

[0007] The fault monitoring module is used to perform fault monitoring on the vehicle-mounted equipment based on the real-time sensor information of the vehicle-mounted equipment to obtain the vehicle-mounted equipment fault monitoring result;

[0008] The operation status monitoring module is used to monitor the driving information of the vehicle-mounted device based on the real-time sensor information of the vehicle-mounted device and determine the driving detection result;

[0009] The positioning monitoring module is used to monitor the positioning information of the vehicle based on the real-time sensing information of the vehicle-mounted equipment to obtain a positioning monitoring result;

[0010] The maintenance monitoring module is used to evaluate the comprehensive supply capacity of the supplier company based on the sales information and maintenance information of the vehicle-mounted equipment, and recommend a supplier company with high comprehensive supply capacity to the user;

[0011] The vehicle-mounted equipment backtracking module is used to classify and associate the data generated by the data acquisition module, fault monitoring module, operating status monitoring module, positioning monitoring module, maintenance monitoring module and installation recommendation module to form a full life cycle record of the vehicle-mounted equipment, making it convenient for staff to trace the vehicle-mounted equipment.

[0012] Further, it also includes: a recycling module;

[0013] The recycling module is used to count the faulty on-board equipment and classify them according to whether they can be reused after repair or scrapped, so as to obtain recyclable on-board equipment; when another vehicle needs to replace the on-board equipment, the recyclable on-board equipment is recommended first.

[0014] Further, the data acquisition module includes a passive data acquisition unit and an active data acquisition unit;

[0015] The passive data collection unit is used to collect sales information, installation information and maintenance information about the vehicle-mounted equipment uploaded by the staff;

[0016] The active data acquisition unit is used to actively collect positioning information and visual information transmitted by the vehicle-mounted equipment to obtain real-time sensing information of the vehicle-mounted equipment; wherein the visual information is used to represent image information including the driver's face.

[0017] Furthermore, based on the real-time sensing information of the vehicle-mounted device, the vehicle-mounted device is monitored for faults to obtain the vehicle-mounted device fault monitoring result, including:

[0018] Based on the real-time sensing information of the vehicle-mounted device, determine whether the real-time sensing information has a fault code. If so, determine that the vehicle-mounted device fault monitoring result is that a fault exists; otherwise, determine that the vehicle-mounted device fault monitoring result is that no fault exists.

[0019] Furthermore, based on the real-time sensing information of the vehicle-mounted device, the driving information of the vehicle-mounted device is monitored to determine the driving detection result, including:

[0020] parsing visual information based on the visual information in the real-time sensor information of the vehicle-mounted device;

[0021] The visual information is recognized by using a visual recognition model pre-trained by the GPSO-CNN-LSTM algorithm to determine the driving state of the driver and obtain a driving detection result.

[0022] Furthermore, based on the real-time sensing information of the vehicle-mounted device, the positioning information of the vehicle is monitored to obtain positioning monitoring results, including:

[0023] Based on the positioning information in the real-time sensor information of the vehicle-mounted device, it is determined whether the time when the vehicle where the vehicle-mounted device is located is traveling in another province or not started exceeds the threshold time. If so, the positioning monitoring result is determined to be abnormal, otherwise the positioning monitoring result is determined to be normal.

[0024] Furthermore, based on the sales information and maintenance information of vehicle-mounted equipment, the comprehensive supply capabilities of the supplier companies are evaluated, and suppliers with high comprehensive supply capabilities are recommended to users, including:

[0025] Based on the sales information of the vehicle-mounted equipment, the corresponding supply quantity and supply time of all supply companies are determined, and the corresponding unit time shipment quantity of each supply company is determined according to the corresponding supply quantity and supply time of the supply companies;

[0026] Based on the maintenance information, determine the average repair time corresponding to the vehicle-mounted equipment corresponding to each supplier company, and obtain the repair time index by taking the reciprocal of the average repair time;

[0027] Determine the comprehensive supply capacity of each supplier company based on the corresponding unit time shipment volume and return repair time indicators of each supplier company;

[0028] Recommend the top N supply companies with the highest comprehensive supply capabilities to users.

[0029] Furthermore, the comprehensive supply capacity corresponding to each supply company is determined according to the corresponding unit time shipment volume and the rework time index of each supply company, including: performing weighted summation of the unit time shipment volume and the rework time index to obtain the comprehensive supply capacity of the supply company.

[0030] Furthermore, based on the sales information and maintenance information of vehicle-mounted equipment, the comprehensive supply capabilities of the supplier companies are evaluated, and suppliers with high comprehensive supply capabilities are recommended to users, including:

[0031] Based on the sales information and maintenance information of the vehicle-mounted equipment, a comprehensive supply capability evaluation questionnaire is generated, and the comprehensive supply capability evaluation questionnaire is transmitted to the expert to obtain the comprehensive supply capability determined by the expert;

[0032] The deep learning algorithm is used to learn the data relationship between the sales information and maintenance information of vehicle-mounted equipment and the comprehensive supply capacity, and obtain the supply capacity identification rules;

[0033] Use supply capacity identification rules to identify the sales and maintenance information of subsequent vehicle-mounted equipment in real time, and obtain the comprehensive supply capacity of the supply company;

[0034] Recommend supply companies with high comprehensive supply capabilities to users.

[0035] Furthermore, the data relationship between the sales information and maintenance information of the vehicle-mounted equipment and the comprehensive supply capability is learned through a deep learning algorithm to obtain supply capability identification rules, including: using a GPSO-CNN-LSTM algorithm to learn the data relationship between the sales information and maintenance information of the vehicle-mounted equipment and the comprehensive supply capability to obtain supply capability identification rules.

[0036] The present invention provides an intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle, which realizes real-time and all-round supervision from the purchase, sales and installation to factory repair / replacement of vehicle-mounted equipment, forms a private data source and operation system, changes the static management mode of vehicle-mounted equipment purchase, sales and inventory in the prior art, realizes dynamic management of vehicle-mounted equipment with real-time supervision, avoids asset loss, reduces operating costs, and reduces vehicle driving risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0038] Figure 1 A schematic diagram of the structure of an intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle provided by an embodiment of the present invention.

[0039] The above drawings have shown clear embodiments of the present invention, which will be described in more detail below. These drawings and text descriptions are not intended to limit the scope of the present invention in any way, but to illustrate the concept of the present invention for those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0040] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0041] The embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0042] like Figure 1 As shown, an embodiment of the present invention provides an intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle, including: a data acquisition module, a fault monitoring module, an operation status monitoring module, a positioning monitoring module, a maintenance monitoring module, an installation review module, an installation recommendation module, and a vehicle-mounted equipment backtracking module;

[0043] The installation recommendation module is used to evaluate the comprehensive installation capability of the installation company based on the installation information of the vehicle-mounted device, and recommend an installation company with high comprehensive installation capability to the staff, so that the staff can select the installation company to install the vehicle-mounted device;

[0044] For example, vehicle-mounted equipment installation companies can be supervised and counted, and their installation efficiency, maintenance efficiency, usable time of accessories after maintenance, and re-failure rate can be evaluated. The system will give priority to recommending installation companies with higher rankings.

[0045] The data collection module is used to collect the sales, installation and maintenance information of the vehicle-mounted equipment uploaded by the staff; and to collect the real-time sensor information of the vehicle-mounted equipment after the vehicle-mounted equipment is installed;

[0046] Among them, since the information of the vehicle-mounted equipment and the vehicle on which it is installed cannot be obtained when it is not installed or not working, the sales, installation and maintenance information about the vehicle-mounted equipment uploaded by the staff can be collected, so as to register the vehicle information on which the vehicle-mounted equipment is installed, monitor whether the vehicle-mounted equipment is installed reasonably, whether it operates normally after installation, and monitor whether the vehicle-mounted equipment is faulty.

[0047] After the vehicle-mounted equipment is installed, real-time sensor information of the vehicle-mounted equipment can be actively collected, and these data can be used to determine whether there is a fault, driver status or vehicle abnormal status, etc., thereby realizing the monitoring of the entire life cycle of the vehicle-mounted equipment from sales, use to maintenance, realizing dynamic management of the vehicle-mounted equipment, and reducing vehicle driving risks.

[0048] Optionally, the vehicle-mounted equipment may refer to a driving recorder, a driver driving image acquisition device, a reversing radar / camera, a lane keeping system, an adaptive cruise control, a Beidou intelligent terminal and the like. In addition to performing fault monitoring on each vehicle-mounted equipment, the embodiment of the present invention mainly uses a driver driving image acquisition device and a Beidou intelligent terminal to form data monitoring during the driving process, thereby forming full life cycle monitoring.

[0049] The installation review module is used to review the installation image in the installation information based on the installation information of the vehicle-mounted device using an image recognition algorithm to determine the installation status;

[0050] For example, the collected installation information may include whether the installation is successful and image data after the installation. The image data after the installation may be analyzed to determine whether the installation is in place.

[0051] The fault monitoring module is used to perform fault monitoring on the vehicle-mounted equipment based on the real-time sensor information of the vehicle-mounted equipment to obtain the vehicle-mounted equipment fault monitoring result;

[0052] In general, various vehicle-mounted devices will generate fault codes after a fault occurs. Whether a vehicle-mounted device has a fault can be determined by identifying whether a fault code has been generated.

[0053] In special circumstances, no fault code may be generated, so the operating current and operating voltage of the vehicle-mounted equipment can be collected. When the operating current exceeds the limit or the operating voltage exceeds the limit, it can be determined that the fault monitoring result of the vehicle-mounted equipment is a fault.

[0054] In extreme cases, the on-board equipment may not be able to achieve its original functions, but the operating current and operating voltage are within the limit. Therefore, all operating data of the on-board equipment can be collected (at least including the time series of the operating current, operating voltage and fault code), and then these operating data can be identified through a pre-set deep learning algorithm to determine the on-board equipment fault monitoring results.

[0055] The operation status monitoring module is used to monitor the driving information of the vehicle-mounted device based on the real-time sensor information of the vehicle-mounted device and determine the driving detection result;

[0056] Driving information can be an image of the driver's driving status in real-time sensor information. By identifying and analyzing the driving status image, the driver can be supervised, the driver's information can be checked, and the driver's driving status (whether he is driving tired, smoking, or speeding) can be monitored. A scoring mechanism can also be implemented for the driver, and the scoring result is linked to whether the vehicle passes the annual inspection next year.

[0057] The positioning monitoring module is used to monitor the positioning information of the vehicle based on the real-time sensing information of the vehicle-mounted equipment to obtain a positioning monitoring result;

[0058] For example, the vehicle location can be monitored and the registration information can be checked. If the vehicle is driven in another province for a long time, the alarm mechanism will be triggered. If the vehicle is not started for a long time, the alarm mechanism will be triggered, so as to monitor whether the vehicle is used normally. If the vehicle is not used normally, an early warning message can be generated and transmitted to the owner to detect vehicle abnormalities in time.

[0059] The maintenance monitoring module is used to evaluate the comprehensive supply capacity of the supplier company based on the sales information and maintenance information of the vehicle-mounted equipment, and recommend a supplier company with high comprehensive supply capacity to the user;

[0060] For example, the suppliers of vehicle-mounted equipment can be supervised and counted, and their supply capacity, return repair capacity, and product quality can be assessed. The system will give priority to recommending suppliers with higher rankings.

[0061] The vehicle-mounted equipment backtracking module is used to classify and associate the data generated by the data acquisition module, fault monitoring module, operating status monitoring module, positioning monitoring module, maintenance monitoring module and installation recommendation module to form a full life cycle record of the vehicle-mounted equipment, making it convenient for staff to trace the vehicle-mounted equipment.

[0062] In the embodiment of the present invention, it also includes: a recovery module;

[0063] The recycling module is used to count the faulty on-board equipment and classify them according to whether they can be reused after repair or scrapped, so as to obtain recyclable on-board equipment; when another vehicle needs to replace the on-board equipment, the recyclable on-board equipment is recommended first.

[0064] By setting up a recycling module, the vehicle-mounted equipment can be effectively recycled, which can reduce the use costs of some car owners on the one hand, and have an environmental protection effect on the other.

[0065] In an embodiment of the present invention, the data acquisition module includes a passive data acquisition unit and an active data acquisition unit;

[0066] The passive data collection unit is used to collect sales information, installation information and maintenance information about the vehicle-mounted equipment uploaded by the staff;

[0067] The active data acquisition unit is used to actively collect positioning information and visual information transmitted by the vehicle-mounted equipment to obtain real-time sensing information of the vehicle-mounted equipment; wherein the visual information is used to represent image information including the driver's face.

[0068] In the embodiment of the present invention, based on the real-time sensing information of the vehicle-mounted device, the vehicle-mounted device is monitored for faults to obtain the vehicle-mounted device fault monitoring result, including:

[0069] Based on the real-time sensing information of the vehicle-mounted device, determine whether the real-time sensing information has a fault code. If so, determine that the vehicle-mounted device fault monitoring result is that a fault exists; otherwise, determine that the vehicle-mounted device fault monitoring result is that no fault exists.

[0070] In an embodiment of the present invention, based on the real-time sensing information of the vehicle-mounted device, the driving information of the vehicle-mounted device is monitored to determine the driving detection result, including:

[0071] parsing visual information based on the visual information in the real-time sensor information of the vehicle-mounted device;

[0072] The visual information is recognized by using a visual recognition model pre-trained by the GPSO-CNN-LSTM (global optimal particle swarm algorithm-convolutional neural network-long short-term memory neural network) algorithm to determine the driver's driving state and obtain a driving detection result.

[0073] Optionally, the method of pre-training the visual recognition model using the GPSO-CNN-LSTM algorithm may include:

[0074] Acquire training data; the training input includes visual information and corresponding classification labels;

[0075] The visual information is used as the input of CNN, the corresponding classification label is used as the expected output of CNN, and GPSO is used to train CNN to obtain the trained CNN;

[0076] Remove the output layer of the trained CNN, use the feature vector output by the fully connected layer as the input of the LSTM, and construct the CNN-LSTM.

[0077] The visual information is used as the input of CNN-LSTM, the corresponding classification label is used as the expected output of CNN-LSTM, and GPSO is used to train CNN-LSTM to obtain a visual recognition model.

[0078] By constructing CNN-LSTM as described above, it is possible to effectively extract feature information from visual information and further identify the feature information, thereby effectively improving the accuracy of image recognition. Secondly, using GPSO to train the weights in CNN and CNN-LSTM can avoid the technical problem that the original PSO is prone to falling into the local optimum.

[0079] The GPSO provided by the present invention may include:

[0080] S101, initializing the model parameters of the model to be trained multiple times to obtain a particle swarm;

[0081] The initialization method may be random initialization or a chaotic mapping initialization method. The chaotic mapping initialization method can effectively improve the convergence speed of the algorithm. Therefore, the embodiment of the present invention uses the chaotic mapping initialization method to initialize the particle swarm.

[0082] S102: For any particle in the particle swarm, use the visual information as the input of the model to be trained, use the corresponding classification label as the expected output, determine the cross entropy loss value or the root mean square loss value, and add the obtained loss value to a constant (such as 0.001) and then take the inverted value to obtain the fitness value corresponding to the particle.

[0083] S103, determining the best particle among all particles and the historical best value corresponding to each particle according to the fitness value corresponding to the particle;

[0084] S104, determine the search range control factor and the search direction control factor as follows:

[0085]

[0086] s2=rand(0,2)

[0087] Among them, s1 represents the search range control factor, t represents the current number of training times, T represents the maximum number of training times, α represents a constant value, which is set to 2; s2 represents the search direction control factor, and rand(0,2) represents a random number between (0,2).

[0088] The search range control factor is used to control the algorithm's transition from global to local search. A larger s1 can improve the algorithm's global search capability, while a smaller s1 is conducive to the local development of the algorithm. This random number helps balance the local and global search processes, helps find more feasible solutions in the solution space, and ultimately converges to the global optimum.

[0089] S105, according to the best particle among all particles, the historical best value corresponding to each particle, the search range control factor and the search direction control factor, a mixed search is performed on the particle swarm as follows:

[0090]

[0091] in, represents the i-th particle in the t-th training process, represents the optimal particle, represents the i-th particle The corresponding historical optimal value, s3 represents the influence degree of the optimal particle, s min Indicates the minimum value of the optimal particle influence, s max Indicates the maximum value of the optimal particle influence, s3 is always between (0,1), and w represents the preset inertia weight. represents the speed corresponding to the i-th particle during the t-th training process, represents the velocity of the i-th particle during the t+1-th training process, represents the i-th particle after the mixed search, and r1 represents a random number between (0,1).

[0092] The hybrid search process provided by the embodiment of the present invention can memorize more of its own positions in the early stage of the algorithm and memorize more optimal positions in the later stage of the algorithm, thereby effectively improving the convergence accuracy of the algorithm, and by introducing a search range control factor and a search direction control factor, it can effectively ensure the diversity of the particle swarm, enable particles to be more flexible in searching for the global optimal solution, improve the search ability of particles, and further guide particles to move in the direction of the global optimal solution.

[0093] S106. For the particles after the hybrid search, perform mutually exclusive information search on all particles according to the best particle and the worst particle:

[0094]

[0095] in, represents the particle after the kth hybrid search in the tth training process, k = 1, 2, ..., M, M represents the total number of particles, r2 represents a random number between (0, 1), represents the optimal particle, Indicates the worst particle.

[0096] Through the above-mentioned mutually exclusive information fusion search, particles are randomly moved under the attraction of the best particles and the repulsion of the worst particles, thereby realizing the update of positions, improving the diversity of the particle swarm, and enabling the algorithm to jump out of the local optimal solution.

[0097] S107, determine whether the current training times have reached the maximum training times, if so, re-obtain the optimal particle, and use the parameters contained in the optimal particle as the final parameters of the model to be trained to complete the training, otherwise return to step S103.

[0098] In the embodiment of the present invention, based on the real-time sensing information of the vehicle-mounted device, the positioning information of the vehicle is monitored to obtain the positioning monitoring result, including:

[0099] Based on the positioning information in the real-time sensor information of the vehicle-mounted device, it is determined whether the time when the vehicle where the vehicle-mounted device is located is traveling in another province or not started exceeds the threshold time. If so, the positioning monitoring result is determined to be abnormal, otherwise the positioning monitoring result is determined to be normal.

[0100] In the embodiment of the present invention, based on the sales information and maintenance information of the vehicle-mounted equipment, the comprehensive supply capacity of the supply company is evaluated, and a supply company with high comprehensive supply capacity is recommended to the user, including:

[0101] Based on the sales information of the vehicle-mounted equipment, the corresponding supply quantity and supply time of all supply companies are determined, and the corresponding unit time shipment quantity of each supply company is determined according to the corresponding supply quantity and supply time of the supply companies;

[0102] Based on the maintenance information, determine the average repair time corresponding to the vehicle-mounted equipment corresponding to each supplier company, and obtain the repair time index by taking the reciprocal of the average repair time;

[0103] Determine the comprehensive supply capacity of each supplier company based on the corresponding unit time shipment volume and return repair time indicators of each supplier company;

[0104] Recommend the top N supply companies with the highest comprehensive supply capabilities to users.

[0105] In an embodiment of the present invention, the comprehensive supply capacity corresponding to each supply company is determined according to the unit time shipment volume and the rework time index corresponding to each supply company, including: obtaining the comprehensive supply capacity of the supply company after weighted summation of the unit time shipment volume and the rework time index.

[0106] In the embodiment of the present invention, based on the sales information and maintenance information of the vehicle-mounted equipment, the comprehensive supply capacity of the supply company is evaluated, and a supply company with high comprehensive supply capacity is recommended to the user, including:

[0107] Based on the sales information and maintenance information of the vehicle-mounted equipment, a comprehensive supply capability evaluation questionnaire is generated, and the comprehensive supply capability evaluation questionnaire is transmitted to the expert to obtain the comprehensive supply capability determined by the expert;

[0108] The deep learning algorithm is used to learn the data relationship between the sales information and maintenance information of vehicle-mounted equipment and the comprehensive supply capacity, and obtain the supply capacity identification rules;

[0109] Use supply capacity identification rules to identify the sales and maintenance information of subsequent vehicle-mounted equipment in real time, and obtain the comprehensive supply capacity of the supply company;

[0110] Recommend supply companies with high comprehensive supply capabilities to users.

[0111] In an embodiment of the present invention, a deep learning algorithm is used to learn the data relationship between the sales information and maintenance information of vehicle-mounted equipment and the comprehensive supply capability, and a supply capability identification rule is obtained, including: using a GPSO-CNN-LSTM algorithm to learn the data relationship between the sales information and maintenance information of vehicle-mounted equipment and the comprehensive supply capability, and obtaining a supply capability identification rule.

[0112] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0113] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0114] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0115] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0116] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0117] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle, characterized in that: include: Data acquisition module, fault monitoring module, operation status monitoring module, positioning monitoring module, maintenance monitoring module, installation review module, installation recommendation module and vehicle-mounted equipment backtracking module; The installation recommendation module is used to evaluate the comprehensive installation capability of the installation company based on the installation information of the vehicle-mounted device, and recommend an installation company with high comprehensive installation capability to the staff, so that the staff can select the installation company to install the vehicle-mounted device; The data collection module is used to collect the sales, installation and maintenance information of the vehicle-mounted equipment uploaded by the staff; After the vehicle-mounted equipment is installed, real-time sensor information of the vehicle-mounted equipment is collected; The installation review module is used to review the installation image in the installation information based on the installation information of the vehicle-mounted device using an image recognition algorithm to determine the installation status; The fault monitoring module is used to perform fault monitoring on the vehicle-mounted equipment based on the real-time sensor information of the vehicle-mounted equipment to obtain the vehicle-mounted equipment fault monitoring result; The operation status monitoring module is used to monitor the driving information of the vehicle-mounted device based on the real-time sensor information of the vehicle-mounted device and determine the driving detection result; The positioning monitoring module is used to monitor the positioning information of the vehicle based on the real-time sensing information of the vehicle-mounted equipment to obtain a positioning monitoring result; The maintenance monitoring module is used to evaluate the comprehensive supply capacity of the supplier company based on the sales information and maintenance information of the vehicle-mounted equipment, and recommend a supplier company with high comprehensive supply capacity to the user; The vehicle-mounted equipment backtracking module is used to classify and associate the data generated by the data acquisition module, fault monitoring module, operating status monitoring module, positioning monitoring module, maintenance monitoring module and installation recommendation module to form a full life cycle record of the vehicle-mounted equipment, making it convenient for staff to trace the vehicle-mounted equipment.

2. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 1 is characterized in that: Also includes: Recycling module; The recycling module is used to count the faulty on-board equipment and classify them according to whether they can be reused after repair or scrapped, so as to obtain recyclable on-board equipment; when another vehicle needs to replace the on-board equipment, the recyclable on-board equipment is recommended first.

3. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 2 is characterized in that: The data acquisition module includes a passive data acquisition unit and an active data acquisition unit; The passive data collection unit is used to collect sales information, installation information and maintenance information about the vehicle-mounted equipment uploaded by the staff; The active data acquisition unit is used to actively collect positioning information and visual information transmitted by the vehicle-mounted equipment to obtain real-time sensing information of the vehicle-mounted equipment; wherein the visual information is used to represent image information including the driver's face.

4. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 3 is characterized in that: Based on the real-time sensing information of the vehicle-mounted device, the vehicle-mounted device is monitored for faults to obtain the vehicle-mounted device fault monitoring results, including: Based on the real-time sensing information of the vehicle-mounted device, determine whether the real-time sensing information has a fault code. If so, determine that the vehicle-mounted device fault monitoring result is that a fault exists; otherwise, determine that the vehicle-mounted device fault monitoring result is that no fault exists.

5. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 3 is characterized in that: Based on the real-time sensing information of the vehicle-mounted device, the driving information of the vehicle-mounted device is monitored to determine the driving detection result, including: parsing visual information based on the visual information in the real-time sensor information of the vehicle-mounted device; The visual information is recognized by using a visual recognition model pre-trained by the GPSO-CNN-LSTM algorithm to determine the driving state of the driver and obtain a driving detection result.

6. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 3 is characterized in that: Based on the real-time sensing information of the vehicle-mounted equipment, the positioning information of the vehicle is monitored to obtain positioning monitoring results, including: Based on the positioning information in the real-time sensor information of the vehicle-mounted device, it is determined whether the time when the vehicle where the vehicle-mounted device is located is traveling in another province or not started exceeds the threshold time. If so, the positioning monitoring result is determined to be abnormal, otherwise the positioning monitoring result is determined to be normal.

7. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 6 is characterized in that: Based on the sales and maintenance information of vehicle-mounted equipment, we evaluate the comprehensive supply capabilities of suppliers and recommend suppliers with high comprehensive supply capabilities to users, including: Based on the sales information of the vehicle-mounted equipment, the corresponding supply quantity and supply time of all supply companies are determined, and the corresponding unit time shipment quantity of each supply company is determined according to the corresponding supply quantity and supply time of the supply companies; Based on the maintenance information, determine the average repair time corresponding to the vehicle-mounted equipment corresponding to each supplier company, and obtain the repair time index by taking the reciprocal of the average repair time; Determine the comprehensive supply capacity of each supplier company based on the corresponding unit time shipment volume and return repair time indicators of each supplier company; Recommend the top N supply companies with the highest comprehensive supply capabilities to users.

8. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 7 is characterized in that: According to the unit time shipment volume and the repair time index corresponding to each supply company, the comprehensive supply capacity corresponding to each supply company is determined, including: after weighted summing the unit time shipment volume and the repair time index, the comprehensive supply capacity of the supply company is obtained.

9. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 6 is characterized in that: Based on the sales and maintenance information of vehicle-mounted equipment, we evaluate the comprehensive supply capabilities of suppliers and recommend suppliers with high comprehensive supply capabilities to users, including: Based on the sales information and maintenance information of the vehicle-mounted equipment, a comprehensive supply capability evaluation questionnaire is generated, and the comprehensive supply capability evaluation questionnaire is transmitted to the expert to obtain the comprehensive supply capability determined by the expert; The deep learning algorithm is used to learn the data relationship between the sales information and maintenance information of vehicle-mounted equipment and the comprehensive supply capacity, and obtain the supply capacity identification rules; Use supply capacity identification rules to identify the sales and maintenance information of subsequent vehicle-mounted equipment in real time, and obtain the comprehensive supply capacity of the supply company; Recommend supply companies with high comprehensive supply capabilities to users.

10. The intelligent management system for dynamic data of vehicle-mounted equipment throughout its life cycle according to claim 9 is characterized in that: The data relationship between the sales information and maintenance information of the vehicle-mounted equipment and the comprehensive supply capacity is learned through a deep learning algorithm to obtain a supply capacity identification rule, including: using a GPSO-CNN-LSTM algorithm to learn the data relationship between the sales information and maintenance information of the vehicle-mounted equipment and the comprehensive supply capacity to obtain a supply capacity identification rule.

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