Shared massage chair operation state monitoring method, system, equipment and medium

Abstract

The invention relates to a shared massage armchair operation state monitoring method, system and device and a medium. The method comprises the following steps that shared massage armchair operation data are collected and preprocessed; constructing an operation data feature extraction model, and extracting features of the operation data of the shared massage chair based on the preprocessed operation data of the shared massage chair; constructing a characteristic deviation correction model, and correcting the characteristics of the operation data of the shared massage chair; constructing a shared massage armchair service life evaluation model, and evaluating the service life of the shared massage armchair based on the preprocessed shared massage armchair operation data; and performing weighted summation on the corrected characteristics of the operation data of the shared massage chair and the service life evaluation result of the shared massage chair to obtain a comprehensive health state evaluation result of the shared massage chair, and performing early warning when the comprehensive health state of the shared massage chair reaches a preset threshold value.

Description

Technical Field

[0001] The present invention relates to a method, system, equipment and medium for monitoring the running status of a shared massage chair, and belongs to the technical field of massage chair status monitoring. Background Art

[0002] At present, the following technical means are commonly used for operating status monitoring and fault prediction of massage chairs and similar shared equipment: Most existing systems rely on a single or a few sensors (such as temperature sensors, pressure sensors or vibration sensors) to determine the status of the equipment by collecting single data; this method lacks the integration of multi-dimensional data and easily ignores the combined impact of different working environments and multi-component interactions.

[0003] Existing monitoring systems usually set fixed thresholds and trigger alarms when sensor data exceeds or falls below preset values. This approach is difficult to adapt to situations such as equipment aging, environmental changes, or diversified usage patterns, and is prone to false alarms or missed alarms.

[0004] Some systems rely solely on traditional signal analysis methods, such as Fourier transform and filtering technology, for anomaly detection, ignoring the coupling effects between multiple subsystems within the equipment (such as the main motor, transmission system, pads, heating system, etc.), making it difficult to identify complex fault modes in a timely manner.

[0005] Most of the current monitoring solutions use pre-set parameters and static models, which lack the ability to adapt to the equipment's operating status and are unable to cope with parameter drift and sudden failures after the equipment has been running for a long time. Summary of the invention

[0006] In order to solve the above problems existing in the prior art, the present invention proposes a method, system, device and medium for monitoring the operating status of a shared massage chair.

[0007] The technical solution of the present invention is as follows: In one aspect, the present invention provides a method for monitoring the operating status of a shared massage chair, comprising the following steps: Collecting and preprocessing the shared massage chair operation data; Construct an operation data feature extraction model to extract the features of the shared massage chair operation data based on the preprocessed shared massage chair operation data; Construct a feature deviation correction model to correct the features of shared massage chair operation data; Construct a shared massage chair life assessment model to evaluate the life of the shared massage chair based on the preprocessed shared massage chair operation data; The weighted sum of the features of the corrected shared massage chair operation data and the shared massage chair life assessment results is used to obtain the comprehensive health status assessment result of the shared massage chair. When the comprehensive health status of the shared massage chair reaches a preset threshold, an early warning is issued.

[0008] Furthermore, the operation data feature extraction model is specifically shown in the following formula: ; in: Indicates the feature extraction results of the shared massage chair operation data; Indicates the total number of monitoring sensors; Indicates The initial weights of the monitoring sensors; Indicates A monitoring sensor adjustment value; Indicates the starting time; express Share massage chair operation data at all times; Indicates The total number of modulation cycles of the monitoring sensors; Indicates Monitoring sensor No. The amplitude of each modulation cycle; Indicates Monitoring sensor No. The angular frequency of the modulation cycle; Indicates Monitoring sensor No. The phase shift of the modulation cycle.

[0009] Furthermore, the characteristic deviation correction model is specifically shown in the following formula: ; in: Indicates the feature correction result of the shared massage chair operation data; Represents the total number of key parameters in the shared massage chair operation data characteristics; Indicates Correction factors for key parameters; Indicates Adaptive factors of key parameters; express The moment Key parameter values; Indicates The ideal calibration value of each key parameter; Indicates Sensitivity coefficients of key parameter values; Indicates Normalization coefficient of the key parameter value.

[0010] Furthermore, the shared massage chair life assessment model is specifically shown in the following formula: ; in: Indicates the results of the life assessment of shared massage chairs; Indicates the number of shared massage chair systems; Shared massage chair Subsystems in Status indicators at all times; Shared massage chair The ideal state indicator of each subsystem; Shared massage chair The weight of each subsystem; Shared massage chair The number of historical failures of each subsystem.

[0011] Furthermore, the environmental data and historical abnormal data of the shared massage chair are collected, and the environmental and abnormal correction factors are constructed based on the environmental data and historical abnormal data of the shared massage chair, as shown in the following formula: ; in: Indicates environmental and abnormal correction factors; represents the scaling factor; represents the amplitude influence factor; Indicates the difference between the ambient temperature and the optimal operating temperature of the shared massage chair; Indicates to The frequency of massage chair failures is shared moment by moment; represents the adjustment coefficient; represents the predicted failure probability of the shared massage chair; The environmental and abnormal correction factors are added to the comprehensive health status assessment result of the shared massage chair to obtain the corrected comprehensive health status assessment result of the shared massage chair.

[0012] Furthermore, a fault classification model is constructed based on support vector machine, and the faults of the shared massage chair are classified based on the revised comprehensive health status assessment results of the shared massage chair.

[0013] On the other hand, the present invention also provides a shared massage chair operation status monitoring system, including a data acquisition module, a feature extraction module, a feature correction module, a life assessment module and a health status assessment module; The data acquisition module is used to collect the shared massage chair operation data and pre-process the shared massage chair operation data; The feature extraction module is used to construct an operation data feature extraction model, and extract the features of the shared massage chair operation data based on the preprocessed shared massage chair operation data; The feature correction module is used to construct a feature deviation correction model to correct the features of the shared massage chair operation data; The life evaluation module is used to construct a shared massage chair life evaluation model, and evaluate the life of the shared massage chair based on the preprocessed shared massage chair operation data; The health status assessment module is used to obtain a comprehensive health status assessment result of the shared massage chair by weighted summing the features of the corrected shared massage chair operation data and the shared massage chair life assessment results, and to issue an early warning when the comprehensive health status of the shared massage chair reaches a preset threshold.

[0014] On the other hand, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, a method for monitoring the operating status of a shared massage chair as described in the present invention is implemented.

[0015] On the other hand, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for monitoring the operating status of a shared massage chair as described in the present invention.

[0016] The present invention has the following beneficial effects: The present invention integrates the sensor data and the status of each subsystem at multiple levels, not only considering single deviations but also taking into account the overall synergy of the equipment, thereby realizing a refined quantitative assessment of the equipment health status. At the same time, machine learning technology is introduced to update weights and correction parameters in real time, overcoming the limitations of traditional static models. By integrating multiple sensors such as pressure, temperature, and vibration, comprehensive monitoring of each key component of the equipment is achieved, forming multi-dimensional data input, and significantly improving the comprehensiveness and accuracy of equipment status assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] It should be understood that the step numbers used in this document are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0020] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0021] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0022] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0023] Embodiment 1: See also Figure 1 , a method for monitoring the operating status of a shared massage chair, comprising the following steps: Collecting and preprocessing the shared massage chair operation data; Construct an operation data feature extraction model to extract the features of the shared massage chair operation data based on the preprocessed shared massage chair operation data; Construct a feature deviation correction model to correct the features of shared massage chair operation data; Construct a shared massage chair life assessment model to evaluate the life of the shared massage chair based on the preprocessed shared massage chair operation data; The weighted sum of the features of the corrected shared massage chair operation data and the shared massage chair life assessment results is used to obtain the comprehensive health status assessment result of the shared massage chair. When the comprehensive health status of the shared massage chair reaches a preset threshold, an early warning is issued.

[0024] As a preferred implementation of this embodiment, the operation data feature extraction model is specifically shown in the following formula: ; in: Indicates the feature extraction results of the shared massage chair operation data; Indicates the total number of monitoring sensors; Indicates The initial weight of each monitoring sensor reflects the importance of each type of sensor data in the overall health status assessment. The initial value can be set by experiment; Indicates The adjustment value of each monitoring sensor is adjusted according to different models of shared massage chairs through machine learning models; Indicates the starting time; express The shared massage chair operation data at all times (the shared massage chair operation data is collected by monitoring sensors, including seat cushion pressure, backrest force, vibration amplitude, historical faults, motor status, transmission status, heating system status, control unit status, and communication module status); Indicates The total number of modulation cycles of the monitoring sensors; Indicates Monitoring sensor No. The amplitude of each modulation cycle; Indicates Monitoring sensor No. The angular frequency of a modulation cycle is used to capture the periodic characteristics within a specific frequency band; Indicates Monitoring sensor No. The phase shift of a modulation cycle is used to correct the starting position of the signal; It can strengthen or attenuate the influence of certain periodic signals in the integration process, helping to identify periodic faults or abnormal phenomena; As a preferred implementation of this embodiment, the characteristic deviation correction model is specifically shown in the following formula: ; in: Indicates the feature correction result of the shared massage chair operation data; Indicates the total number of key parameters in the shared massage chair operation data characteristics, wherein the key parameters are specifically parameters that can significantly affect the normal operation of the massage chair, including main motor current, component temperature, vibration peak value, etc.; Indicates The correction coefficients of key parameters are mainly estimated based on experimental data; Indicates Adaptive factors of key parameters; express The moment Key parameter values; Indicates The ideal calibration value of each key parameter; Indicates Sensitivity coefficients of key parameter values; Indicates Normalization coefficients of key parameter values; as well as The value is obtained based on the following steps: In the normal and abnormal state of the massage chair, long-term collection of Key parameters and their reference values , and the corresponding health status indicators or fault records; determine the calibration value of the equipment under ideal conditions based on experimental measurements to provide a basis for subsequent calculations; Construct the error model: Defining the error term ; Building the Model It is used to predict the probability of failure of massage chairs, as shown in the following formula: ; Define the loss function : ; in: express The key parameters are The actual failure probability corresponding to the value at time; Use gradient descent, genetic algorithm or other optimization algorithms to find as well as The optimal value of makes the loss function reach the preset threshold.

[0025] As a preferred implementation of this embodiment, the shared massage chair life assessment model is specifically shown in the following formula: ; in: Indicates the results of the life assessment of shared massage chairs; Indicates the number of shared massage chair systems; Shared massage chair Subsystems in Status indicators at all times; Shared massage chair The ideal state indicator of each subsystem; Shared massage chair The weight of each subsystem; Shared massage chair The number of historical failures of each subsystem; In this embodiment, the shared massage chair system specifically includes: a main power system, a transmission system, a cushion system, a heating system, a control unit system, and a communication system; The state index calculation formula of the main power system is: ; in: express Status indicators of the main power system at all times; Indicates that the main motor is The speed of the moment; Indicates the ideal speed of the main motor; Indicates that the main motor is Working current at all times; Indicates the ideal working current of the main motor; Indicates that the main motor is Working temperature at all times; Indicates the ideal operating temperature of the main motor; Indicates that the main motor is Working vibration amplitude at the moment; Indicates the ideal working vibration amplitude of the main motor; Indicates the main motor to The cumulative running time of the moment; The calculation formula of the state index of the transmission system is: ; in: express Status indicators of the transmission system at all times; Indicates the transmission system The actual values ​​of the key torque or speed indicators at the moment, including the motor output speed (the initial speed directly provided by the motor, reflecting the motor driving ability), the gear set output speed (the actual output speed after gear transmission, which is closely related to the transmission ratio and is used to evaluate the efficiency of the transmission system), input and output torque (input torque: the driving force transmitted by the motor to the transmission system, output torque: the actual working torque transmitted to the massage mechanism (such as massage head, massage cushion, etc.), which directly affects the massage effect and equipment load); Indicates the ideal value of the key torque or speed indicator of the transmission system; express The transmission vibration amplitude at the moment; Indicates the ideal amplitude of transmission vibration; express The degree of wear of the gear set at all times; Indicates the lubrication management of the gear set at the time; The calculation formula of the status index of the liner system is: ; in: express Status indicators of the padding system at all times; express The accumulated wear degree of the gasket at all times; Indicates the maximum allowable wear of the liner; express Pressure distribution of the pad at all times; Indicates the elastic modulus of the gasket; The calculation formula of the state index of the heating system is: ; in: express Status indicators of the heating system at all times; express The heating temperature of the heating system at all times; express The target temperature of the heating system at all times; express Resistance deviation of heating elements in heating system at all times; Indicates the heating system response time; The state index calculation formula of the control unit system is: ; in: express Control the status indicators of the unit system at all times; express CPU load at the moment; express Always control the deviation between the response delay and the ideal value; Indicates to The cumulative number of instruction execution exceptions at the moment; The calculation formula of the status index of the communication system is: ; in: express Status indicators of the communication system at all times; express The signal strength of the communication system at all times; Indicates the communication strength threshold of the communication system; express The packet loss rate of the communication system at all times; express The communication interference level at the moment (such as noise index or interference signal amplitude); express The communication delay of the communication system at all times.

[0026] As a preferred implementation of this embodiment, the environmental data and historical abnormal data of the shared massage chair are collected, and the environmental and abnormal correction factors are constructed based on the environmental data and historical abnormal data of the shared massage chair, as shown in the following formula: ; in: Indicates environmental and abnormal correction factors; represents the scaling factor; represents the amplitude influence factor; Indicates the difference between the ambient temperature and the optimal operating temperature of the shared massage chair; Indicates to The failure frequency of the shared massage chair at any given moment, calculated based on the historical failure data of the shared massage chair; represents the adjustment coefficient; represents the predicted failure probability of the shared massage chair; The environmental and abnormal correction factors are added to the comprehensive health status assessment result of the shared massage chair to obtain the corrected comprehensive health status assessment result of the shared massage chair.

[0027] As a preferred implementation of this embodiment, a fault classification model is constructed based on a support vector machine, and faults of the shared massage chair are classified based on the revised comprehensive health status assessment results of the shared massage chair; Based on the classification results, early warning prompts can be issued for minor faults, and maintenance scheduling can be automatically triggered for moderate and severe faults. At the same time, historical data can be recorded for reference in subsequent model optimization and maintenance decision-making.

[0028] Embodiment 2: A shared massage chair operation status monitoring system includes a data acquisition module, a feature extraction module, a feature correction module, a lifespan assessment module and a health status assessment module; The data acquisition module is used to collect the shared massage chair operation data and pre-process the shared massage chair operation data; The feature extraction module is used to construct an operation data feature extraction model, and extract the features of the shared massage chair operation data based on the preprocessed shared massage chair operation data; The feature correction module is used to construct a feature deviation correction model to correct the features of the shared massage chair operation data; The life evaluation module is used to construct a shared massage chair life evaluation model, and evaluate the life of the shared massage chair based on the preprocessed shared massage chair operation data; The health status assessment module is used to obtain a comprehensive health status assessment result of the shared massage chair by weighted summing the features of the corrected shared massage chair operation data and the shared massage chair life assessment results, and to issue an early warning when the comprehensive health status of the shared massage chair reaches a preset threshold.

[0029] The system is used to implement the method in Example 1, which will not be described in detail here.

[0030] Embodiment three: This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method described in any embodiment of the present invention when executing the program.

[0031] Embodiment 4: This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method described in any embodiment of the present invention is implemented.

[0032] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0033] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0034] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0035] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0036] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for monitoring the operating status of a shared massage chair, characterized in that: The following steps are involved: Collecting and preprocessing the shared massage chair operation data; Construct an operation data feature extraction model to extract the features of the shared massage chair operation data based on the preprocessed shared massage chair operation data; Construct a feature deviation correction model to correct the features of shared massage chair operation data; Construct a shared massage chair life assessment model to evaluate the life of the shared massage chair based on the preprocessed shared massage chair operation data; The weighted sum of the features of the corrected shared massage chair operation data and the shared massage chair life assessment results is used to obtain the comprehensive health status assessment result of the shared massage chair. When the comprehensive health status of the shared massage chair reaches a preset threshold, an early warning is issued.

2. A method for monitoring the operation status of a shared massage chair according to claim 1, characterized in that: The operation data feature extraction model is specifically shown in the following formula: ； in: Indicates the feature extraction results of the shared massage chair operation data; Indicates the total number of monitoring sensors; Indicates The initial weights of the monitoring sensors; Indicates A monitoring sensor adjustment value; Indicates the starting time; express Share massage chair operation data at all times; Indicates The total number of modulation cycles of the monitoring sensors; Indicates Monitoring sensor No. The amplitude of each modulation cycle; Indicates Monitoring sensor No. The angular frequency of the modulation cycle; Indicates Monitoring sensor No. The phase shift of the modulation cycle.

3. A method for monitoring the operation status of a shared massage chair according to claim 2, characterized in that: The characteristic deviation correction model is specifically shown in the following formula: ； in: Indicates the feature correction result of the shared massage chair operation data; Represents the total number of key parameters in the shared massage chair operation data characteristics; Indicates Correction factors for key parameters; Indicates Adaptive factors of key parameters; express The moment Key parameter values; Indicates The ideal calibration value of each key parameter; Indicates Sensitivity coefficients of key parameter values; Indicates Normalization coefficient of the key parameter value.

4. A method for monitoring the operation status of a shared massage chair according to claim 3, characterized in that: The shared massage chair life assessment model is specifically shown in the following formula: ； in: Indicates the results of the life assessment of the shared massage chair; Indicates the number of shared massage chair systems; Shared massage chair Subsystems in Status indicators at all times; Shared massage chair The ideal state indicator of each subsystem; Shared massage chair The weight of each subsystem; Shared massage chair The number of historical failures of each subsystem.

5. A method for monitoring the operation status of a shared massage chair according to claim 1, characterized in that: Collect the environmental data and historical abnormal data of the shared massage chair, and build the environmental and abnormal correction factors based on the environmental data and historical abnormal data of the shared massage chair, as shown in the following formula: ； in: Indicates environmental and abnormal correction factors; represents the scaling factor; represents the amplitude influence factor; Indicates the difference between the ambient temperature and the optimal operating temperature of the shared massage chair; Indicates to The frequency of massage chair failures is shared moment by moment; represents the adjustment coefficient; represents the predicted failure probability of the shared massage chair; The environmental and abnormal correction factors are added to the comprehensive health status assessment result of the shared massage chair to obtain the corrected comprehensive health status assessment result of the shared massage chair.

6. A method for monitoring the operation status of a shared massage chair according to claim 5, characterized in that: A fault classification model was constructed based on support vector machine, and the faults of shared massage chairs were classified based on the revised comprehensive health status assessment results of shared massage chairs.

7. A shared massage chair operation status monitoring system, characterized in that: It includes data acquisition module, feature extraction module, feature correction module, life span assessment module and health status assessment module; The data acquisition module is used to collect the shared massage chair operation data and pre-process the shared massage chair operation data; The feature extraction module is used to construct an operation data feature extraction model, and extract the features of the shared massage chair operation data based on the preprocessed shared massage chair operation data; The feature correction module is used to construct a feature deviation correction model to correct the features of the shared massage chair operation data; The life evaluation module is used to construct a shared massage chair life evaluation model, and evaluate the life of the shared massage chair based on the preprocessed shared massage chair operation data; The health status assessment module is used to obtain a comprehensive health status assessment result of the shared massage chair by weighted summing the features of the corrected shared massage chair operation data and the shared massage chair life assessment results, and to issue an early warning when the comprehensive health status of the shared massage chair reaches a preset threshold.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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