Multi-module fusion intelligent inspection data processing and fault response method and system

Abstract

The application discloses a multi-module fusion intelligent inspection data processing and fault response method and system, relates to the technical field of data processing, and comprises the following steps: acquiring an inspection task of ground and high-altitude inspection equipment, obtaining a fault equipment needing maintenance based on instrument data and audio data of the inspection equipment; establishing a three-dimensional model of a workshop, acquiring a first track and a second track, and obtaining a target period of the fault equipment; obtaining the number of affected equipment of the fault equipment, obtaining the influence degree of the fault equipment on the workshop according to sensor data in the target period, obtaining the early warning degree of a maintenance sequence, and then judging whether the maintenance sequence of the fault equipment needs early warning prompt. The application analyzes the inspection data in depth, judges whether the maintenance sequence of the fault equipment is reasonable, and timely prompts, reduces the strategy of non-key equipment occupying the maintenance opportunity, and is helpful to improve the production yield of the workshop and realize the improvement of the production efficiency of the workshop.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to a multi-module integrated intelligent inspection data processing and fault response method and system. Background Technology

[0002] Workshop inspection is of great significance for maintaining equipment safety. Current inspections typically include both ground and aerial inspections, with robot dogs and drones undertaking inspection tasks in the ground and aerial areas respectively. Tasks are dynamically allocated to inspection equipment such as robot dogs and drones based on the distribution of workshop equipment and inspection needs. Artificial intelligence algorithms such as image recognition and machine learning are used to perform in-depth processing on the collected data, thereby identifying faulty equipment that needs maintenance.

[0003] Currently, before repairing faulty equipment, the repair sequence is usually determined based on human experience. However, human experience is subjective and does not deeply integrate inspection data for analysis, which can lead to an unreasonable repair sequence, failing to achieve the goal of intelligent maintenance and reducing workshop production output. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for intelligent inspection data processing and fault response that integrates multiple modules, so as to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A multi-module integrated intelligent inspection data processing and fault response method includes the following steps:

[0007] Step S100: Obtain the inspection tasks issued by the ground and high-altitude inspection equipment according to the workshop inspection requirements, and record the status data of the workshop processing equipment during the task execution; based on the instrument data and audio data of the processing equipment recorded during the inspection, as well as the audio data of the processing equipment in the past when it was in normal condition, extract the faulty equipment that needs to be repaired.

[0008] Step S200: Establish a three-dimensional model of the workshop, obtain the first and second trajectories of the ground and high-altitude inspection equipment when inspecting the workshop, and divide the first and second trajectories in the three-dimensional model; based on the time of recording instrument data and audio data when inspecting faulty equipment, as well as the first and second trajectories in the three-dimensional model, analyze to obtain the target time period corresponding to the faulty equipment;

[0009] Step S300: By analyzing the upstream and downstream dependencies of the processing equipment in the workshop, the number of affected equipment corresponding to the faulty equipment is obtained. Sensors are deployed on the faulty equipment, and the sensor data and the number of affected equipment when the faulty equipment is in the target time period are analyzed to obtain the degree of impact of the faulty equipment on the workshop.

[0010] Step S400: Obtain the pre-set maintenance sequence for the faulty equipment, obtain the warning level of the maintenance sequence based on the obtained impact level, and determine whether to issue a warning prompt for the maintenance sequence of the faulty equipment according to the warning level.

[0011] Furthermore, step S100 includes:

[0012] Step S110: The inspection task of the ground inspection equipment includes reading the instruments of the processing equipment and obtaining the corresponding instrument data. The type of processing equipment is a fluid control device, which has an inlet and an outlet. By inputting the fluid medium at the inlet, the fluid is regulated or processed by the control unit inside the processing equipment, and finally outputs the fluid substance that meets the process requirements at the outlet. The instrument is a pressure measuring instrument, and the instrument data is the function data of the pressure value of the processing equipment changing with time collected by the ground inspection equipment during the inspection process.

[0013] Obtain the normal range of pressure values ​​for the processing equipment [V1, V2], where V1 is the minimum pressure value preset by the system and V2 is the maximum pressure value preset by the system; obtain the instrument data corresponding to a certain processing equipment M1, and randomly obtain the pressure values ​​at A times. If there are at least A0 pressure values ​​that are not within the normal range, where A0 is the first quantity threshold, then the processing equipment M1 is identified as a faulty equipment that needs to be repaired.

[0014] Step S120: Collect audio data of a certain processing equipment M2 in a normal state in history. The normal state means that the pressure value of the processing equipment M2 at each moment is within the normal range within a certain period of time. Convert the audio data at any moment into a spectrum diagram as a reference spectrum diagram.

[0015] The inspection task of the high-altitude inspection equipment includes collecting audio data of the processing equipment M2 during operation, randomly converting the audio data at B time points into spectrograms, and calculating the Euclidean distance between each spectrogram and the reference spectrogram. If there are at least B0 Euclidean distances greater than a preset distance threshold (B0 being the second quantity threshold), then the processing equipment M2 is identified as a faulty device requiring maintenance, thereby obtaining all faulty devices.

[0016] Since the locations of the equipment during high-altitude and ground inspections differ, the inspection tasks should be allocated according to the characteristics of the equipment. In this solution, the ground inspection equipment is a robot dog, and the high-altitude inspection equipment is a drone. Because the robot dog is better at observing the machine's pressure data, the task of viewing instrument data is usually assigned to the robot dog. Since the sound usually changes when the equipment malfunctions, and to avoid the influence of echoes or other surrounding obstacles on sound acquisition, it is more reasonable to collect audio data from high altitude, which can effectively avoid errors. Therefore, the task of collecting audio data is usually assigned to the drone.

[0017] Furthermore, step S200 includes:

[0018] Step S210: Establish a 3D model of the workshop. Based on the location of each processing equipment in the workshop, divide the corresponding equipment area in the 3D model, and divide the first trajectory and the second trajectory in the 3D model; obtain the equipment area corresponding to a faulty equipment G in the 3D model, and take the range extending outward from the equipment area as the starting point and with a length of L meters as the detection area R of equipment G. G ;

[0019] Step S220: The ground and high-altitude inspection equipment simultaneously inspect the same processing equipment; based on the movement direction of the inspection equipment within the first and second tracks, the first track is aligned with the detection area R. G The moment of their first intersection is taken as T 1 1. The moment of the last intersection is denoted as T. 1 2. Align the second trajectory with the detection area R G The moment of their first intersection is taken as T 2 1. The moment of the last intersection is denoted as T. 2 2;

[0020] The earliest time T when the ground inspection equipment obtains the instrument readings of the faulty equipment G is obtained. 3 1 and latest time T 3 2, and the earliest time T of the audio data collected by the high-altitude inspection equipment from the faulty device G. 4 1 and latest time T 4 2. Take T from among them 1 1. T 2 1. T 3 1 and T 4 The minimum time in 1 and T 1 2. T 2 2. T 3 2 and T 4 The time interval between the maximum moments in 2 is taken as the target time interval of the faulty device G, and thus the target time interval of each faulty device is obtained.

[0021] When equipment malfunctions, it typically affects both output and quality. Output is assessed by analyzing the equipment's inlet and outlet to determine the degree of output stagnation, thus determining the extent of the impact. Quality is assessed by analyzing the equipment's process flow to determine the impact of the fluid medium it generates on other equipment, thus determining the extent of the impact. Specifically, if the current ratio of outlet to inlet flow rate changes significantly from the normal ratio, and the fluid medium generated by the equipment affects a large number of other equipment, then the equipment is considered to have a significant impact on the entire workshop.

[0022] Furthermore, step S300 includes:

[0023] Step S310: Obtain the process step H of a faulty device G. G And the process steps corresponding to each processing equipment in the workshop, based on the upstream and downstream dependencies of the process steps, the equipment that receives the fluid medium generated from the outlet of the faulty equipment G is regarded as the affected equipment of the faulty equipment G, and thus the equipment in process step H is obtained. G All affected equipment between the final process stage and the final process stage, and the total number of affected equipment is set as N. G ;

[0024] Step S320: Deploy flow sensors at both the inlet and outlet of the faulty device G, based on the target time period D corresponding to the faulty device G. G Extracting data within the target time period D G The corresponding sensor values ​​are flow rates. The average flow rate F1 at the inlet and the average flow rate F2 at the outlet of the faulty device G are obtained, and the target ratio R1 = F2 / F1 is obtained. The sensor values ​​of the faulty device G when it was in a normal state in the past are obtained, and the average flow rate F3 at the inlet and the average flow rate F4 at the outlet of the faulty device G are obtained, and the baseline ratio R2 = F4 / F3 is obtained.

[0025] The extent of the impact of faulty equipment G on the workshop is determined as follows: Where e is the natural constant, R max R is the larger of R1 and R2. min The smaller of R1 and R2 is used to obtain the degree of impact of all faulty equipment on the workshop.

[0026] Further, step S400 includes: taking the total number of faulty devices as Q, sorting each faulty device from 1 to Q according to the order of the degree of impact from largest to smallest, and using the sorted sequence number as the first sequence number of the faulty device; obtaining a pre-set maintenance order for the faulty devices, sorting each faulty device from 1 to Q according to the maintenance order, and using the sorted sequence number as the second sequence number of the faulty device; and obtaining the warning level of the maintenance order based on the first and second sequence numbers of each faulty device. In this context, max() finds the maximum value, min() finds the minimum value, and x... q Let y be the first sequence number of the q-th faulty device. q Let Z be the second sequence number of the q-th faulty device. If the warning level Z is greater than the preset level threshold, then a warning prompt will be given regarding the maintenance sequence of the faulty device.

[0027] The intelligent inspection data processing and fault response system integrates multiple modules, including a fault equipment extraction module, a target time period acquisition module, an impact degree calculation module, and an early warning module.

[0028] Fault Equipment Extraction Module: Used to acquire inspection tasks issued by ground and high-altitude inspection equipment according to the workshop inspection requirements, and record the status data of workshop processing equipment during task execution; based on the instrument data and audio data of processing equipment recorded during inspection, as well as the audio data of processing equipment in the past when it was in normal condition, extract the faulty equipment that needs to be repaired.

[0029] Target Time Period Acquisition Module: Used to build a 3D model of the workshop, acquire the first and second trajectories of the ground and high-altitude inspection equipment during the workshop inspection, and divide the first and second trajectories in the 3D model; based on the time of recording instrument data and audio data during the inspection of faulty equipment, and the analysis of the first and second trajectories in the 3D model, the target time period corresponding to the faulty equipment is obtained;

[0030] Impact Calculation Module: This module analyzes the upstream and downstream dependencies of the processing equipment in the workshop to determine the number of affected equipment corresponding to the faulty equipment. It then deploys sensors on the faulty equipment, analyzes the sensor data of the faulty equipment during the target time period, and examines the number of affected equipment to determine the degree of impact of the faulty equipment on the workshop.

[0031] Early warning module: It is used to obtain the pre-set maintenance sequence for faulty equipment, obtain the early warning level of the maintenance sequence based on the degree of impact, and determine whether to issue an early warning for the maintenance sequence of faulty equipment according to the early warning level.

[0032] Furthermore, the target time period acquisition module includes a detection area determination unit and a target time period acquisition unit;

[0033] Detection area determination unit: used to establish a three-dimensional model of the workshop, divide the corresponding equipment area in the three-dimensional model, and divide the first trajectory and the second trajectory in the three-dimensional model; obtain the equipment area corresponding to a faulty equipment in the three-dimensional model, and then obtain the detection area of ​​the faulty equipment;

[0034] Target time period acquisition unit: used to obtain the target time period of the faulty equipment based on the movement direction of the inspection equipment in the first and second tracks, the earliest and latest times when the ground inspection equipment reads the instrument data of the faulty equipment, and the earliest and latest times when the high-altitude inspection equipment collects the audio data of the faulty equipment.

[0035] Furthermore, the impact calculation module includes an affected equipment analysis unit and an impact calculation unit;

[0036] Affected Equipment Analysis Unit: Used to obtain the process steps of a faulty equipment, as well as the process steps corresponding to each processing equipment in the workshop, and to obtain the total number of affected equipment based on the upstream and downstream dependencies of the process steps.

[0037] Impact Calculation Unit: This unit deploys flow sensors at both the inlet and outlet of the faulty equipment, analyzes the sensor data when the faulty equipment is in the target time period, the sensor values ​​when it is in normal condition, and the number of affected equipment, and obtains the impact degree of the faulty equipment on the workshop.

[0038] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a multi-module integrated intelligent inspection data processing and fault response method and system, including: acquiring inspection tasks of ground and high-altitude inspection equipment; identifying faulty equipment requiring maintenance based on instrument data and audio data of processing equipment during inspection; establishing a three-dimensional model of the workshop; acquiring a first trajectory and a second trajectory to obtain the target time period of the faulty equipment; obtaining the number of affected equipment; determining the degree of impact of the faulty equipment on the workshop based on sensor data during the target time period; obtaining the warning level of the maintenance sequence; and then determining whether to issue a warning for the maintenance sequence of the faulty equipment. This invention, through in-depth analysis of inspection data, determines whether the maintenance sequence of faulty equipment is reasonable and provides timely warnings, reducing the strategy of prioritizing maintenance of non-critical equipment, which helps to increase workshop production output and improve workshop production efficiency. Attached Figure Description

[0039] Figure 1 This is a flowchart illustrating the intelligent inspection data processing and fault response method integrating multiple modules according to the present invention.

[0040] Figure 2 This is a structural diagram of the intelligent inspection data processing and fault response system integrating multiple modules according to the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example: Figure 1 As shown, this invention provides a technical solution for intelligent inspection data processing and fault response method integrating multiple modules, including the following steps:

[0043] Step S100: Obtain the inspection tasks issued by the ground and high-altitude inspection equipment according to the workshop inspection requirements, and record the status data of the workshop processing equipment during the task execution; based on the instrument data and audio data of the processing equipment recorded during the inspection, as well as the audio data of the processing equipment in the past when it was in normal condition, extract the faulty equipment that needs to be repaired.

[0044] Step S110: The inspection task of the ground inspection equipment includes reading the instruments of the processing equipment and obtaining the corresponding instrument data. The type of processing equipment is a fluid control device, which has an inlet and an outlet. By inputting the fluid medium at the inlet, the fluid is regulated or processed by the control unit inside the processing equipment, and finally outputs the fluid substance that meets the process requirements at the outlet. The instrument is a pressure measuring instrument, and the instrument data is the function data of the pressure value of the processing equipment changing with time collected by the ground inspection equipment during the inspection process.

[0045] The processing equipment is a fluid control device. Fluid is a general term for liquids and gases. In this embodiment, the fluid control device is a water pump, the fluid medium is wastewater, and the purpose of the fluid control device is to treat wastewater. The ground inspection device is a robot dog, and the high-altitude inspection device is a drone. The robot dog and drone inspect the water pump according to the inspection tasks issued by the workshop, and record the water pump's status data during the inspection. The status data includes the water pump's instrument data and audio data. Since the instruments are pressure measuring instruments, in this embodiment, the instrument data represents the pressure value recorded by the robot dog during the water pump inspection, and the audio data represents the operating sound of the water pump collected by the robot dog through a microphone and other devices during the water pump inspection. Because the pressure value of the water pump generally has a normal range, if the pressure value exceeds the normal range for a long period, it indicates that the equipment is faulty. The specific judgment is as follows:

[0046] Obtain the normal range of pressure values ​​for the processing equipment [V1, V2], where V1 is the minimum pressure value preset by the system and V2 is the maximum pressure value preset by the system; obtain the instrument data corresponding to a certain processing equipment M1, and randomly obtain the pressure values ​​at A times. If there are at least A0 pressure values ​​that are not within the normal range, where A0 is the first quantity threshold, then the processing equipment M1 is identified as a faulty equipment that needs to be repaired.

[0047] Step S120: Collect audio data of a certain processing equipment M2 in a normal state in history. The normal state means that the pressure value of the processing equipment M2 at each moment is within the normal range within a certain period of time. Convert the audio data at any moment into a spectrum diagram as a reference spectrum diagram.

[0048] The inspection task of the high-altitude inspection equipment includes collecting audio data of the processing equipment M2 during operation, randomly converting the audio data at B time points into spectrograms, and calculating the Euclidean distance between each spectrogram and the reference spectrogram. If there are at least B0 Euclidean distances greater than a preset distance threshold (B0 being the second quantity threshold), then the processing equipment M2 is identified as a faulty device requiring maintenance, thereby obtaining all faulty devices.

[0049] The sound of the equipment usually differs significantly between normal and abnormal operation. The spectrogram is a function graph with amplitude as the vertical axis and frequency as the horizontal axis. The greater the Euclidean distance between two spectrograms, the smaller the similarity between them. Therefore, when multiple spectrograms show a small similarity, it indicates that the processing equipment is in an abnormal state and needs maintenance. The process of converting audio data into a spectrogram and the calculation of Euclidean distance are existing technologies and will not be elaborated here.

[0050] Step S200: Establish a three-dimensional model of the workshop, obtain the first and second trajectories of the ground and high-altitude inspection equipment when inspecting the workshop, and divide the first and second trajectories in the three-dimensional model; based on the time of recording instrument data and audio data when inspecting faulty equipment, as well as the first and second trajectories in the three-dimensional model, analyze to obtain the target time period corresponding to the faulty equipment;

[0051] Step S210: Establish a 3D model of the workshop. Based on the location of each processing equipment in the workshop, divide the corresponding equipment area in the 3D model, and divide the first trajectory and the second trajectory in the 3D model; obtain the equipment area corresponding to a faulty equipment G in the 3D model, and take the range extending outward from the equipment area as the starting point and with a length of L meters as the detection area R of equipment G. G ;

[0052] Step S220: The ground and high-altitude inspection equipment simultaneously inspect the same processing equipment; based on the movement direction of the inspection equipment within the first and second tracks, the first track is aligned with the detection area R. G The moment of their first intersection is taken as T 1 1. The moment of the last intersection is denoted as T. 1 2. Align the second trajectory with the detection area R G The moment of their first intersection is taken as T 2 1. The moment of the last intersection is denoted as T. 2 2;

[0053] The earliest time T when the ground inspection equipment obtains the instrument readings of the faulty equipment G is obtained. 3 1 and latest time T 3 2, and the earliest time T of the audio data collected by the high-altitude inspection equipment from the faulty device G. 4 1 and latest time T 4 2. Take T from among them 1 1. T 2 1. T 3 1 and T 4 The minimum time in 1 and T 1 2. T 2 2. T 3 2 and T 4 The time interval between the maximum moments in 2 is taken as the target time interval of the faulty device G, and thus the target time interval of each faulty device is obtained.

[0054] Step S300: By analyzing the upstream and downstream dependencies of the processing equipment in the workshop, the number of affected equipment corresponding to the faulty equipment is obtained. Sensors are deployed on the faulty equipment, and the sensor data and the number of affected equipment when the faulty equipment is in the target time period are analyzed to obtain the degree of impact of the faulty equipment on the workshop.

[0055] Step S310: Obtain the process step H of a faulty device G. G And the process steps corresponding to each processing equipment in the workshop, based on the upstream and downstream dependencies of the process steps, the equipment that receives the fluid medium generated from the outlet of the faulty equipment G is regarded as the affected equipment of the faulty equipment G, and thus the equipment in process step H is obtained. G All affected equipment between the final process stage and the final process stage, and the total number of affected equipment is set as N. G ;

[0056] Step S320: Deploy flow sensors at both the inlet and outlet of the faulty device G, based on the target time period D corresponding to the faulty device G. G Extracting data within the target time period D GThe corresponding sensor values ​​are flow rates. The average flow rate F1 at the inlet and the average flow rate F2 at the outlet of the faulty device G are obtained, and the target ratio R1 = F2 / F1 is obtained. The sensor values ​​of the faulty device G when it was in a normal state in the past are obtained, and the average flow rate F3 at the inlet and the average flow rate F4 at the outlet of the faulty device G are obtained, and the baseline ratio R2 = F4 / F3 is obtained.

[0057] As can be seen from step S110 of this embodiment, the fluid control device is a water pump, the fluid medium is wastewater, and the purpose of the fluid control device is to treat wastewater. Therefore, the fluid measured by the flow sensor in this step is wastewater, and the flow rate value is the amount of wastewater passing through the sensor per unit time.

[0058] The extent of the impact of faulty equipment G on the workshop is determined as follows: Where e is the natural constant, R max R is the larger of R1 and R2. min The smaller of R1 and R2 is used to obtain the degree of impact of all faulty equipment on the workshop.

[0059] Formula y=1-e -x It is a function of y that increases as x increases, and when x is x>0, y ranges from 0 to 1. Therefore, in this scheme, since R... max With R min The larger the ratio, the greater the change in output of the equipment compared to normal conditions, and the greater the impact on the workshop should be; N G The larger the value, the more equipment is affected, and the greater the impact on the workshop should be. Therefore, this design formula is reasonable and reliable.

[0060] Step S400 includes: taking the total number of faulty devices as Q, sorting each faulty device from 1 to Q according to the order of their impact from largest to smallest, and using the sorted sequence number as the first sequence number of the faulty device; obtaining a pre-set maintenance order for the faulty devices, sorting each faulty device from 1 to Q according to the maintenance order, and using the sorted sequence number as the second sequence number of the faulty device; and obtaining the warning level of the maintenance order based on the first and second sequence numbers of each faulty device. In this context, max() finds the maximum value, min() finds the minimum value, and x... q Let y be the first sequence number of the q-th faulty device. q Let Z be the second sequence number of the q-th faulty device. If the warning level Z is greater than the preset level threshold, then a warning prompt will be given regarding the maintenance sequence of the faulty device.

[0061] Because the formula y=1-e -xWhen x is x>0, y is 0 to 1, and in this scheme, max(x q ,y q ) and min(x q ,y q The minimum value of ) is 1, while the formula y=1-e -x When x=1, y is approximately 0.63, so the minimum value of the warning level Z is 0.63 and the maximum value is less than 1. In this embodiment, the level threshold is set to 0.8. When Z>0.8, a warning prompt is given for the maintenance sequence of the faulty equipment.

[0062] This invention also provides a multi-module integrated intelligent inspection data processing and fault response system, such as... Figure 2 As shown, it includes:

[0063] Fault Equipment Extraction Module: Used to acquire inspection tasks issued by ground and high-altitude inspection equipment according to the workshop inspection requirements, and record the status data of workshop processing equipment during task execution; based on the instrument data and audio data of processing equipment recorded during inspection, as well as the audio data of processing equipment in the past when it was in normal condition, extract the faulty equipment that needs to be repaired.

[0064] Target Time Period Acquisition Module: Used to build a 3D model of the workshop, acquire the first and second trajectories of the ground and high-altitude inspection equipment during the workshop inspection, and divide the first and second trajectories in the 3D model; based on the time of recording instrument data and audio data during the inspection of faulty equipment, and the analysis of the first and second trajectories in the 3D model, the target time period corresponding to the faulty equipment is obtained;

[0065] Impact Calculation Module: This module analyzes the upstream and downstream dependencies of the processing equipment in the workshop to determine the number of affected equipment corresponding to the faulty equipment. It then deploys sensors on the faulty equipment, analyzes the sensor data of the faulty equipment during the target time period, and examines the number of affected equipment to determine the degree of impact of the faulty equipment on the workshop.

[0066] Early warning module: It is used to obtain the pre-set maintenance sequence for faulty equipment, obtain the early warning level of the maintenance sequence based on the degree of impact, and determine whether to issue an early warning for the maintenance sequence of faulty equipment according to the early warning level.

[0067] The target time period acquisition module includes a detection area determination unit and a target time period acquisition unit;

[0068] Detection area determination unit: used to establish a three-dimensional model of the workshop, divide the corresponding equipment area in the three-dimensional model, and divide the first trajectory and the second trajectory in the three-dimensional model; obtain the equipment area corresponding to a faulty equipment in the three-dimensional model, and then obtain the detection area of ​​the faulty equipment;

[0069] Target time period acquisition unit: used to obtain the target time period of the faulty equipment based on the movement direction of the inspection equipment in the first and second tracks, the earliest and latest times when the ground inspection equipment reads the instrument data of the faulty equipment, and the earliest and latest times when the high-altitude inspection equipment collects the audio data of the faulty equipment.

[0070] The impact calculation module includes an affected equipment analysis unit and an impact calculation unit;

[0071] Affected Equipment Analysis Unit: Used to obtain the process steps of a faulty equipment, as well as the process steps corresponding to each processing equipment in the workshop, and to obtain the total number of affected equipment based on the upstream and downstream dependencies of the process steps.

[0072] Impact Calculation Unit: This unit deploys flow sensors at both the inlet and outlet of the faulty equipment, analyzes the sensor data when the faulty equipment is in the target time period, the sensor values ​​when it is in normal condition, and the number of affected equipment, and obtains the impact degree of the faulty equipment on the workshop.

[0073] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A multi-module integrated intelligent inspection data processing and fault response method, characterized in that, Includes the following steps: Step S100: Obtain the inspection tasks issued by the ground and high-altitude inspection equipment according to the workshop inspection requirements, and record the status data of the workshop processing equipment during the task execution; based on the instrument data and audio data of the processing equipment recorded during the inspection, as well as the audio data of the processing equipment in the past when it was in normal condition, extract the faulty equipment that needs to be repaired. Step S200: Establish a three-dimensional model of the workshop, obtain the first and second trajectories of the ground and high-altitude inspection equipment when inspecting the workshop, and divide the first and second trajectories in the three-dimensional model; analyze the time of recording instrument data and audio data when inspecting faulty equipment, as well as the first and second trajectories in the three-dimensional model, to obtain the target time period corresponding to the faulty equipment. Step S300: By analyzing the upstream and downstream dependencies of the processing equipment in the workshop, the number of affected equipment corresponding to the faulty equipment is obtained. Sensors are deployed on the faulty equipment, and the sensor data and the number of affected equipment when the faulty equipment is in the target time period are analyzed to obtain the degree of impact of the faulty equipment on the workshop. Step S400: Obtain the pre-set maintenance sequence for the faulty equipment, obtain the warning level of the maintenance sequence based on the obtained impact level, and determine whether to issue a warning prompt for the maintenance sequence of the faulty equipment according to the warning level. Step S100 includes: Step S120: Collect audio data of a certain processing equipment M2 in a normal state in history. The normal state means that the pressure value of the processing equipment M2 at each moment is within the normal range within a certain period of time. Convert the audio data at any moment into a spectrum diagram as a reference spectrum diagram. The inspection task of the high-altitude inspection equipment includes collecting audio data of the processing equipment M2 during operation, randomly converting the audio data at B time points into a spectrum diagram, and calculating the Euclidean distance between each spectrum diagram and the reference spectrum diagram. If there are at least B0 Euclidean distances greater than a preset distance threshold, where B0 is the second quantity threshold, then the processing equipment M2 is identified as a faulty device that needs maintenance, and thus all faulty devices are identified. Step S300 includes: Step S320: Deploy flow sensors at both the inlet and outlet of the faulty device G, based on the target time period D corresponding to the faulty device G. G Extracting data within the target time period D G The corresponding sensor values, which are flow rates, are obtained, and the average flow rate F1 at the inlet and the average flow rate F2 at the outlet of the faulty device G are obtained, and the target ratio R1 = F2 / F1 is obtained; the sensor values ​​of the faulty device G when it was in a normal state in the past are obtained, and the average flow rate F3 at the inlet and the average flow rate F4 at the outlet of the faulty device G are obtained, and the baseline ratio R2 = F4 / F3 is obtained. The extent of the impact of faulty equipment G on the workshop is determined as follows: Where e is the natural constant, R max R is the larger of R1 and R2. min The smaller of R1 and R2 is used to obtain the degree of impact of all faulty equipment on the workshop.

2. The intelligent inspection data processing and fault response method integrating multiple modules according to claim 1, characterized in that, Step S100 also includes: Step S110: The inspection task of the ground inspection equipment includes reading the instruments of the processing equipment to obtain the corresponding instrument data. The type of processing equipment is a fluid control device, which has an inlet and an outlet. By inputting a fluid medium at the inlet, the fluid is regulated or processed by the control unit inside the processing equipment, and finally outputs a fluid substance that meets the process requirements at the outlet. The instrument is a pressure measuring instrument, and the instrument data is the function data of the pressure value of the processing equipment changing with time collected by the ground inspection equipment during the inspection process. Obtain the normal range of pressure values ​​for the processing equipment [V1, V2], where V1 is the minimum pressure value preset by the system and V2 is the maximum pressure value preset by the system; obtain the instrument data corresponding to a certain processing equipment M1, and randomly obtain the pressure values ​​at A times. If there are at least A0 pressure values ​​that are not within the normal range, where A0 is the first quantity threshold, then the processing equipment M1 is identified as a faulty equipment that needs maintenance.

3. The intelligent inspection data processing and fault response method integrating multiple modules according to claim 1, characterized in that, Step S200 includes: Step S210: Establish a 3D model of the workshop. Based on the location of each processing equipment in the workshop, divide the corresponding equipment area in the 3D model, and divide the first trajectory and the second trajectory in the 3D model; obtain the equipment area corresponding to a faulty equipment G in the 3D model, and take the range extending outward from the equipment area as the starting point with a length of L meters as the detection area R of equipment G. G ; Step S220: The ground and high-altitude inspection equipment simultaneously inspect the same processing equipment; based on the movement direction of the inspection equipment within the first and second tracks, the first track is aligned with the detection area R. G The moment of their first intersection is taken as T 1 1. The moment of the last intersection is denoted as T. 1 2. Align the second trajectory with the detection area R G The moment of their first intersection is taken as T 2 1. The moment of the last intersection is denoted as T. 2 2; The earliest time T when the ground inspection equipment obtains the instrument readings of the faulty equipment G is obtained. 3 1 and latest time T 3 2, and the earliest time T of the audio data collected by the high-altitude inspection equipment from the faulty device G. 4 1 and latest time T 4 2. Take T from among them 1 1. T 2 1. T 3 1 and T 4 The minimum time in 1 and T 1 2. T 2 2. T 3 2 and T 4 The time interval between the maximum moments in 2 is taken as the target time interval of the faulty device G, and thus the target time interval of each faulty device is obtained.

4. The intelligent inspection data processing and fault response method integrating multiple modules according to claim 1, characterized in that, Step S300 also includes: Step S310: Obtain the process step H of a faulty device G. G And the process steps corresponding to each processing equipment in the workshop. Based on the upstream and downstream dependencies of the process steps, the equipment that receives the fluid medium generated from the outlet of the faulty equipment G is considered as the affected equipment of the faulty equipment G, and thus the equipment in process step H is determined. G All affected equipment between the final process stage and the final process stage, and the total number of affected equipment is set as N. G .

5. The intelligent inspection data processing and fault response method integrating multiple modules according to claim 1, characterized in that, Step S400 includes: taking the total number of faulty devices as Q, sorting each faulty device from 1 to Q according to the order of their impact from largest to smallest, and using the sorted sequence number as the first sequence number of the faulty device; obtaining a pre-set maintenance order for the faulty devices, sorting each faulty device from 1 to Q according to the maintenance order, and using the sorted sequence number as the second sequence number of the faulty device; and obtaining the warning level of the maintenance order based on the first and second sequence numbers of each faulty device. In this context, max() finds the maximum value, min() finds the minimum value, and x... q Let y be the first sequence number of the q-th faulty device. q Let Z be the second sequence number of the q-th faulty device. If the warning level Z is greater than the preset level threshold, then a warning prompt will be given for the maintenance sequence of the faulty device.

6. An intelligent inspection data processing and fault response system, used to execute the multi-module integrated intelligent inspection data processing and fault response method as described in any one of claims 1-5, characterized in that, The system includes a fault equipment extraction module, a target time period acquisition module, an impact degree calculation module, and an early warning module. Fault Equipment Extraction Module: Used to acquire inspection tasks issued by ground and high-altitude inspection equipment according to the workshop inspection requirements, and record the status data of workshop processing equipment during task execution; based on the instrument data and audio data of processing equipment recorded during inspection, as well as the audio data of processing equipment in the past when it was in normal condition, extract the faulty equipment that needs to be repaired. Target Time Period Acquisition Module: This module is used to build a 3D model of the workshop, acquire the first and second trajectories of the ground and high-altitude inspection equipment during the workshop inspection, and divide the first and second trajectories in the 3D model; based on the time of recording instrument data and audio data during the inspection of faulty equipment, as well as the first and second trajectories in the 3D model, the target time period corresponding to the faulty equipment is obtained through analysis. Impact Calculation Module: This module analyzes the upstream and downstream dependencies of the processing equipment in the workshop to determine the number of affected equipment corresponding to the faulty equipment. It then deploys sensors on the faulty equipment, analyzes the sensor data of the faulty equipment during the target time period, and examines the number of affected equipment to determine the degree of impact of the faulty equipment on the workshop. Early warning module: used to obtain the pre-set maintenance sequence for faulty equipment, obtain the early warning level of the maintenance sequence based on the obtained impact level, and determine whether to issue an early warning for the maintenance sequence of faulty equipment according to the early warning level.

7. The intelligent inspection data processing and fault response system according to claim 6, characterized in that, The target time period acquisition module includes a detection area determination unit and a target time period acquisition unit; Detection area determination unit: used to establish a three-dimensional model of the workshop, divide the corresponding equipment area in the three-dimensional model, and divide the first trajectory and the second trajectory in the three-dimensional model; obtain the equipment area corresponding to a faulty device in the three-dimensional model, and then obtain the detection area of ​​the faulty device; Target time period acquisition unit: used to obtain the target time period of the faulty equipment based on the movement direction of the inspection equipment in the first and second tracks, the earliest and latest times when the ground inspection equipment reads the instrument data of the faulty equipment, and the earliest and latest times when the high-altitude inspection equipment collects the audio data of the faulty equipment.

8. The intelligent inspection data processing and fault response system according to claim 6, characterized in that, The impact degree calculation module includes an affected equipment analysis unit and an impact degree calculation unit; Affected Equipment Analysis Unit: Used to obtain the process steps of a faulty equipment, as well as the process steps corresponding to each processing equipment in the workshop, and to obtain the total number of affected equipment based on the upstream and downstream dependencies of the process steps. Impact Calculation Unit: This unit deploys flow sensors at both the inlet and outlet of the faulty equipment, analyzes the sensor data when the faulty equipment is in the target time period, the sensor values ​​when it is in normal condition, and the number of affected equipment, and obtains the impact degree of the faulty equipment on the workshop.

Images