Visual equipment inspection alarm system and method

Abstract

The invention provides a visual equipment inspection alarm system and method, and belongs to the technical field of inspection management and control. The system comprises a server, a classification calibration module, an inspection arrangement alarm module, an inspection execution monitoring module and a visualization module. According to the invention, backtracking detection analysis is carried out through the classification calibration module to calibrate the target device as an easy-to-detect device or a difficult-to-detect device, so that corresponding inspection management intensities can be adopted for different devices subsequently; before the target equipment is inspected, the inspection arrangement early warning module is used for analyzing to judge the matching between the inspection personnel and the target equipment, and the inspection personnel of the target equipment are replaced or supervision of the corresponding inspection process is enhanced when the arrangement early warning information is generated, so that the arrangement management and control of the inspection personnel are facilitated; the management difficulty of managers is reduced; the inspection effect of each inspection process can be accurately fed back, the inspection management performance of the equipment can be judged, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the field of patrol inspection and control technology, and in particular to a visual equipment patrol inspection alarm system and method. Background Art

[0002] Equipment inspection refers to regular or irregular inspections and checks of equipment to understand the operating status of the equipment, discover equipment defects and potential safety hazards, and take effective measures in a timely manner to ensure the safe and stable operation of the equipment. Equipment inspection is of great significance for reducing the probability of sudden failures and ensuring the good operating status of the equipment.

[0003] At present, equipment inspection mainly relies on manual inspection, which makes it difficult to reasonably evaluate the management difficulty of each device and accurately judge the rationality of the arrangement of corresponding inspection personnel before inspection. It is also impossible to accurately feedback the inspection effect of each inspection process and judge the performance of equipment inspection management, and the degree of intelligence is low.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a visual equipment inspection alarm system and method, which solves the problems that the prior art is difficult to reasonably evaluate the management difficulty of each device and accurately judge the rationality of the arrangement of corresponding inspection personnel before inspection, as well as the problem that it is difficult to accurately feedback the inspection effect of each inspection process and judge the equipment inspection management performance, and has a low level of intelligence.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The present invention provides a visualized equipment inspection and alarm system, which comprises a server, a classification calibration module, an inspection arrangement alarm module, an inspection execution monitoring module and a visualization module; the classification calibration module obtains all equipment that needs to be inspected and supervised, and records any of the equipment as a target equipment, determines the type of the target equipment, and after calibrating the target equipment as an easy-to-inspect equipment or a difficult-to-inspect equipment through retrospective detection and analysis, sends the calibration information of the target equipment to the server for storage;

[0008] Before inspecting the target equipment, the inspection arrangement alarm module obtains the target inspection personnel who are going to inspect the target equipment, and determines the matching between the target inspection personnel and the target equipment through analysis, and determines whether to generate arrangement warning information accordingly, and sends the arrangement warning information to the visualization module via the server, and the visualization module visualizes the arrangement warning information;

[0009] When inspecting the target device, the inspection execution monitoring module monitors the inspection process, collects the inspection monitoring images and sends them to the visualization module in real time via the server for visual display, and analyzes the inspection execution performance of the target device during the current inspection process, generates an inspection warning signal or an inspection pass signal through the analysis, and sends the inspection warning signal or the inspection pass signal to the visualization module via the server.

[0010] Furthermore, the specific analysis process of the retrospective detection analysis includes:

[0011] The production date of the target device is collected, and the interval between the current date and the production date is marked as the production time. A number of detection periods are set in the historical stage of the target device. If the target device is abnormal in any detection period, the detection period is marked as the abnormal operation period of the target device. The number of abnormal operation periods of the target device in the historical stage is obtained and the ratio is calculated with the total number of detection periods to obtain the abnormal operation detection value;

[0012] The abnormal judgment value of the target device is obtained through analysis, and the traceback detection value is obtained by numerically calculating the abnormal judgment value, production time and operation abnormality detection value. The traceback detection value is numerically compared with the preset traceback detection threshold of the corresponding type of equipment. If the traceback detection value exceeds the preset traceback detection threshold, the target device is marked as a difficult-to-detect device; if the traceback detection value does not exceed the preset traceback detection threshold, the target device is marked as an easy-to-detect device.

[0013] Furthermore, the analysis and acquisition method of the abnormal judgment value includes:

[0014] All anomalies that occurred in the target device in the historical stage are collected, and all anomalies are classified, the number of each type of anomaly that occurred in the target device in the historical stage is determined and marked as the anomaly detection value of each type of anomaly; each type of anomaly in the corresponding type of device is set in advance to correspond to a set of preset impact values, the product of the anomaly detection value of each type of anomaly in the target device and the matched preset impact value is marked as the anomaly analysis value of each type of anomaly, and all anomaly analysis values ​​of the target device are summed up and calculated to obtain the anomaly judgment value of the target device.

[0015] Furthermore, the specific analysis process of the inspection arrangement alarm module includes:

[0016] The type of the target device is obtained, the total historical inspection time of the target inspection personnel for the corresponding type of equipment is collected and marked as the same type of inspection time value, and the historical inspection times of the target inspection personnel for the target device are collected and marked as the device inspection frequency value, and the target inspection personnel's inspection time for each target device is summed up to obtain the device inspection time value;

[0017] The neighboring patrol meter values ​​of the target patrol personnel are obtained through analysis, and the patrol arrangement risk value is obtained by numerically calculating the neighboring patrol meter values, the same type patrol time values, the equipment patrol frequency values ​​and the equipment patrol time values. If the target equipment is a difficult-to-inspect equipment, a preset patrol arrangement risk threshold TP1 is assigned; if the target equipment is an easy-to-inspect equipment, a preset patrol arrangement risk threshold TP2 is assigned, and TP1>TP2>0;

[0018] The inspection arrangement risk value is numerically compared with the corresponding preset inspection arrangement risk threshold. If the inspection arrangement risk value does not exceed the corresponding preset inspection arrangement risk threshold, an arrangement warning information is generated.

[0019] Furthermore, the method for analyzing and obtaining the adjacent patrol meter value includes:

[0020] The total number of equipment inspections performed by the target inspection personnel during the detection period is collected and marked as the neighboring patrol frequency value, and the number of inspection warning signals generated for the target inspection personnel during the detection period is collected and marked as the neighboring patrol anomaly value, and the ratio of the neighboring patrol anomaly value to the neighboring patrol frequency value is marked as the neighboring patrol value.

[0021] Furthermore, the specific analysis process of the inspection execution performance analysis includes:

[0022] Obtain the task information of the current inspection process, determine all inspection items based on the task information of the current inspection process, determine the frequency of incorrect operation performed by the inspection personnel on each inspection item based on the inspection monitoring image, and for any inspection item, compare its incorrect operation frequency with the preset incorrect operation frequency threshold. If the incorrect operation frequency exceeds the preset incorrect operation frequency threshold, mark the inspection item as an abnormal item.

[0023] The ratio of the execution error operation frequency of each inspection item to the corresponding preset execution error operation frequency threshold is marked as the execution error risk value of each inspection item, and the execution error risk values ​​of all inspection items actually executed in the inspection process are averaged to obtain the inspection execution value of the inspection process;

[0024] The number of abnormal items in the current inspection process is calculated by the ratio of the number of inspection items actually executed to the total number of inspection items actually executed to obtain the abnormal analysis value, and the number of inspection items not executed is calculated by the ratio of the total number of inspection items to obtain the execution missing value;

[0025] The inspection execution evaluation value is obtained by numerically calculating the inspection execution measurement value, the abnormality analysis value and the execution missing value, and the inspection execution evaluation value is numerically compared with the preset inspection execution evaluation threshold. If the inspection execution evaluation value exceeds the preset inspection execution evaluation threshold, an inspection warning signal for the current inspection process is generated; if the inspection execution evaluation value does not exceed the preset inspection execution evaluation threshold, an inspection qualified signal for the current inspection process is generated.

[0026] Furthermore, the server communication is connected to the equipment inspection analysis module, which is used to set the supervision cycle, conduct a comprehensive evaluation and analysis on the inspection status of all equipment that needs to be inspected and supervised within the supervision cycle, generate a strong inspection signal or a weak inspection signal, and send the strong inspection signal or the weak inspection signal to the visualization module via the server.

[0027] Furthermore, the specific analysis process of the equipment inspection analysis module includes:

[0028] Collect all inspection moments for the target device within the supervision period, mark two adjacent groups of inspection moments as isolation durations, calculate the average of all isolation durations to obtain an isolation time value, and mark the number of inspections for the target device within the supervision period as the inspection frequency value, and mark the number of isolation durations that exceed the preset isolation duration threshold of the corresponding type of device as the isolation time difference value;

[0029] The target device patrol value is obtained by numerically calculating the isolation time value, the patrol frequency value and the isolation time difference value, and the target device patrol value is numerically compared with the preset device patrol threshold of the corresponding type of equipment. If the target device patrol value exceeds the preset device patrol threshold of the corresponding type of equipment, the target device is assigned a patrol symbol ZP-1;

[0030] The total number of equipment and the total number of difficult-to-inspect equipment corresponding to the patrol symbol ZP-1 are obtained and marked as the patrol total value and patrol risk value respectively, the ratio of the target equipment patrol value to the preset equipment patrol threshold of the corresponding type of equipment is marked as the patrol percentage value, and the patrol percentage values ​​of all equipment that need patrol inspection and supervision are averaged to obtain the patrol performance value;

[0031] The inspection summary value is obtained by numerically calculating the inspection overall condition value, the inspection hazard value and the inspection performance value, and the inspection summary value is numerically compared with the preset inspection summary threshold. If the inspection summary value exceeds the preset inspection summary threshold, a strong inspection signal is generated; if the inspection summary value does not exceed the preset inspection summary threshold, a weak inspection signal is generated.

[0032] The present invention also provides a visual equipment inspection alarm method, comprising the following steps:

[0033] Step 1: Obtain all devices that need to be inspected and supervised, and record any device as a target device, and determine the type of the target device;

[0034] Step 2: Calibrate the target device as an easy-to-detect device or a difficult-to-detect device through retrospective detection analysis, and store the calibration information of the target device;

[0035] Step 3: Obtain the target inspection personnel who are going to inspect the target equipment, and determine the compatibility between the target inspection personnel and the target equipment through analysis, and determine whether to generate arrangement warning information accordingly;

[0036] Step 4: If no early warning information is generated, arrange the target inspection personnel to inspect the target equipment, monitor the inspection process, and send the inspection monitoring image to the visualization module for visual display;

[0037] Step 5: Perform inspection execution performance analysis on the current inspection process of the target device, and generate inspection warning signals or inspection pass signals for the corresponding inspection process through analysis.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] 1. In the present invention, retrospective detection analysis is performed through the type calibration module to calibrate the target equipment as easy-to-inspect equipment or difficult-to-inspect equipment, which is convenient for the subsequent adoption of corresponding inspection management intensity for different equipment, and is conducive to ensuring the safe and stable operation of each equipment; before inspecting the target equipment, the inspection arrangement warning module is used to analyze to determine the matching between the inspection personnel and the target equipment, and when generating the arrangement warning information, the inspection personnel of the target equipment are replaced or the supervision of the corresponding inspection process is strengthened, which is conducive to the arrangement and control of the inspection personnel and reduces the management difficulty of the management personnel;

[0040] 2. In the present invention, the inspection process of the target equipment is monitored through the inspection execution monitoring module, and the inspection warning signal or inspection qualified signal of the corresponding inspection process is generated based on the inspection execution performance analysis, so as to accurately feedback the inspection effect of each inspection process, so as to strengthen the inspection supervision and training of the corresponding inspection personnel in the future; the inspection status of all equipment that needs inspection and supervision within the supervision cycle is comprehensively evaluated and analyzed through the equipment inspection comprehensive analysis module, so as to accurately judge the equipment inspection management performance, and strengthen the subsequent inspection management of all equipment when the inspection strong control signal is generated, so as to further ensure the safe and stable operation of all equipment with a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0042] Figure 1This is a system block diagram of Embodiment 1 of the present invention;

[0043] Figure 2 This is a system block diagram of Embodiment 2 of the present invention;

[0044] Figure 3 This is a flow chart of the method of Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0045] 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.

[0046] Embodiment 1: Figure 1 As shown, the visual equipment inspection alarm system provided by the embodiment of the present invention includes a server, a classification calibration module, an inspection arrangement alarm module, an inspection execution monitoring module and a visualization module;

[0047] The type-based calibration module obtains all devices that need to be inspected and supervised, and records any of them as the target device, determines the type of the target device, and calibrates the target device as an easy-to-inspect device or a difficult-to-inspect device through retrospective detection analysis, and sends the calibration information of the target device to the server for storage, so that the corresponding inspection management intensity can be taken for different devices in the future, which is conducive to ensuring the safe and stable operation of each device; the specific analysis process of retrospective detection analysis is as follows:

[0048] The production date of the target device is collected, and the interval between the current date and the production date is marked as the production time. A number of detection periods are set in the historical stage of the target device. If the target device is abnormal in any detection period, the detection period is marked as the abnormal operation period of the target device. The number of abnormal operation periods of the target device in the historical stage is obtained and the ratio is calculated with the total number of detection periods to obtain the abnormal operation detection value;

[0049] The abnormality judgment value of the target device is obtained through analysis, specifically: all abnormalities that occurred in the target device in the historical stage are collected, and all abnormalities are classified, and the number of each type of abnormality that occurred in the target device in the historical stage is determined and marked as the abnormality detection value of each type of abnormality; each type of abnormality in the corresponding type of device is set in advance to correspond to a set of preset impact values, wherein the value of the preset impact value is greater than zero, and the greater the damage caused by the abnormality to the device, the greater the value of the preset impact value matched therewith;

[0050] The product of the abnormality detection value of each type of abnormality in the target device and the matched preset impact value is marked as the abnormality analysis value of each type of abnormality, and all abnormality analysis values ​​of the target device are summed up to obtain the abnormality judgment value of the target device; it should be noted that the larger the value of the abnormality judgment value, the worse the operating performance of the target device in the historical stage;

[0051] By formula The abnormal judgment value HS, the production time HF and the abnormal operation detection value HL are numerically calculated to obtain the retrospective detection value HX; wherein, a1, a2 and a3 are preset proportional coefficients, and a3>a1>a2>0; and the larger the value of the retrospective detection value HX, the worse the equipment status of the target equipment is, and the more supervision needs to be strengthened;

[0052] The backtracking detection value HX is numerically compared with the preset backtracking detection threshold of the corresponding type of equipment. If the backtracking detection value HX exceeds the preset backtracking detection threshold, it indicates that the device status of the target device is poor and needs to be strengthened, and the target device is marked as a difficult-to-detect device; if the backtracking detection value HX does not exceed the preset backtracking detection threshold, it indicates that the device status of the target device is good and easy to manage, and the target device is marked as an easy-to-detect device.

[0053] Before inspecting the target equipment, the inspection arrangement alarm module obtains the target inspection personnel who are ready to inspect the target equipment, and determines the matching between the target inspection personnel and the target equipment through analysis, and determines whether to generate arrangement warning information based on this, and sends the arrangement warning information to the visualization module via the server. The visualization module visualizes the arrangement warning information. The management personnel will replace the inspection personnel for the target equipment in time or strengthen the supervision of the corresponding inspection process according to the arrangement warning information, so as to ensure the inspection effect for the target equipment, which is conducive to the arrangement and control of the inspection personnel, reduces the management difficulty of the management personnel, and has a high degree of intelligence; the specific analysis process of the inspection arrangement warning module is as follows:

[0054] The type of the target device is obtained, the total historical inspection time of the target inspection personnel for the corresponding type of equipment is collected and marked as the same type of inspection time value, and the historical inspection times of the target inspection personnel for the target device are collected and marked as the device inspection frequency value, and the target inspection personnel's inspection time for each target device is summed up to obtain the device inspection time value;

[0055] The neighboring patrol value of the target patrol personnel is obtained through analysis, specifically: the total number of equipment inspections performed by the target patrol personnel during the detection period is collected and marked as the neighboring patrol frequency value, and the number of patrol warning signals generated for the target patrol personnel during the detection period is collected and marked as the neighboring patrol abnormality value, and the ratio of the neighboring patrol abnormality value to the neighboring patrol frequency value is marked as the neighboring patrol value;

[0056] By formula The adjacent patrol meter value PY, the same patrol time value PL, the equipment patrol frequency value PN and the equipment patrol time value PW are numerically calculated to obtain the patrol arrangement risk value PX; wherein c1, c2, c3 and c4 are preset proportional coefficients, c1>c3>c4>c2>0; and the smaller the value of the patrol arrangement risk value PX, the less suitable the target patrol personnel are for patrolling the target equipment at present;

[0057] If the target device is a difficult-to-inspect device, the preset inspection arrangement risk threshold TP1 is assigned; if the target device is an easy-to-inspect device, the preset inspection arrangement risk threshold TP2 is assigned, and TP1>TP2>0, so as to assign appropriate preset inspection arrangement risk thresholds for devices in different states to ensure the accuracy of the analysis results;

[0058] The inspection arrangement risk value PX is numerically compared with the corresponding preset inspection arrangement risk threshold. If the inspection arrangement risk value PX does not exceed the corresponding preset inspection arrangement risk threshold, indicating that the target inspection personnel is currently not suitable for inspecting the target equipment, an arrangement warning information is generated.

[0059] When inspecting the target equipment, the inspection execution monitoring module monitors the inspection process, collects the inspection monitoring images and sends them to the visualization module in real time via the server for visualization display, and performs inspection execution performance analysis on the current inspection process of the target equipment. Through analysis, an inspection warning signal or an inspection qualified signal is generated, and the inspection warning signal or the inspection qualified signal is sent to the visualization module via the server. When the visualization module receives the inspection warning signal, it issues a corresponding warning, so as to strengthen the inspection supervision and training of the corresponding inspection personnel in the future and ensure their subsequent inspection effect. The specific analysis process of the inspection execution performance analysis is as follows:

[0060] Obtain the task information of the current inspection process, determine all inspection items based on the task information of the current inspection process, determine the frequency of incorrect operation performed by the inspectors on each inspection item based on the inspection monitoring images (i.e., the data value of the number of incorrect operations performed on each inspection item during the current inspection process), and for any inspection item, compare its incorrect operation frequency with a preset incorrect operation frequency threshold. If the incorrect operation frequency exceeds the preset incorrect operation frequency threshold, mark the inspection item as an abnormal item;

[0061] The ratio of the execution error operation frequency of each inspection item to the corresponding preset execution error operation frequency threshold is marked as the execution error risk value of each inspection item, and the execution error risk values ​​of all inspection items actually executed in the inspection process are averaged to obtain the inspection execution value of the inspection process;

[0062] The number of inspection items that were executed during the inspection process was calculated by the ratio of the number of inspection items that were executed during the inspection to the total number of inspection items that were actually executed to obtain the inspection analysis value, and the number of inspection items that were not executed (i.e., the number of inspection items that were omitted during the inspection process) was calculated by the ratio of the number of inspection items that were omitted during the inspection to the total number of inspection items to obtain the execution omission value;

[0063] The inspection execution evaluation value QF is obtained by numerically calculating the inspection execution value QS, the abnormal analysis value QW and the execution table value QR through the formula QF=hu1*QS+hu2*QW+hu3*QR; wherein hu1, hu2 and hu3 are preset proportional coefficients, hu3>hu2>hu1>0; and the larger the value of the inspection execution evaluation value QF, the worse the inspection execution performance of the inspection process is in general;

[0064] The inspection execution evaluation value QF is numerically compared with the preset inspection execution evaluation threshold. If the inspection execution evaluation value QF exceeds the preset inspection execution evaluation threshold, it indicates that the inspection execution performance of the inspection process is poor on the whole, and an inspection warning signal for the inspection process is generated; if the inspection execution evaluation value QF does not exceed the preset inspection execution evaluation threshold, it indicates that the inspection execution performance of the inspection process is good on the whole, and an inspection qualified signal for the inspection process is generated.

[0065] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the server is connected to the equipment inspection and analysis module through communication, and the equipment inspection and analysis module is used to set the supervision cycle. Preferably, the supervision cycle is twenty-five days; the inspection status of all equipment that needs inspection and supervision within the supervision cycle is comprehensively evaluated and analyzed, and a strong inspection signal or a weak inspection signal is generated through analysis; and the strong inspection signal or the weak inspection signal is sent to the visualization module via the server. When the visualization module receives the strong inspection signal, it issues a corresponding warning, so as to strengthen the inspection management of all equipment in a timely manner in the future, further ensure the safe and stable operation of all equipment, and have a high degree of intelligence; the specific analysis process of the equipment inspection and analysis module is as follows:

[0066] Collect all inspection moments for the target device within the supervision period, mark two adjacent groups of inspection moments as isolation durations, calculate the average of all isolation durations to obtain an isolation time value, and mark the number of inspections for the target device within the supervision period as the inspection frequency value, and mark the number of isolation durations that exceed the preset isolation duration threshold of the corresponding type of device as the isolation time difference value;

[0067] The target equipment patrol evaluation value LK is obtained by numerically calculating the isolation time value LN, the inspection frequency value LY and the isolation time difference value LG through the formula LK=(ru1*LN+ru3*LG) / (ru2*LY+0.925), wherein ru1, ru2 and ru3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the target equipment patrol evaluation value LK is, the worse the inspection management performance of the target equipment is during the supervision period;

[0068] Compare the target device patrol value LK with the preset device patrol threshold of the corresponding type of equipment. If the device patrol value LK exceeds the preset device patrol threshold of the corresponding type of equipment, indicating that the patrol management performance of the target device during the supervision period is poor, the target device is assigned a patrol symbol ZP-1;

[0069] The total number of equipment corresponding to the patrol symbol ZP-1 is obtained and marked as the patrol total value, and the total number of difficult-to-inspect equipment corresponding to the patrol symbol ZP-1 is obtained and marked as the patrol risk value; the ratio of the target equipment patrol value to the preset equipment patrol threshold of the corresponding type of equipment is marked as the patrol percentage value, and the patrol percentage values ​​of all equipment that need patrol inspection and supervision are averaged to obtain the patrol performance value;

[0070] The inspection summary value YN is obtained by numerically calculating the inspection total condition value YH, the inspection risk value YL and the inspection performance value YG through the formula YN=(sp1*YH+sp2*YL) / 2+sp3*YG; wherein sp1, sp2 and sp3 are preset proportional coefficients, sp2>sp1>sp3>0; and the larger the inspection summary value YN is, the worse the inspection management performance of all equipment in the supervision cycle is overall;

[0071] The inspection summary value YN is numerically compared with the preset inspection summary threshold. If the inspection summary value YN exceeds the preset inspection summary threshold, it indicates that the inspection management performance of all equipment during the supervision period is generally poor, and a strong inspection signal is generated; if the inspection summary value YN does not exceed the preset inspection summary threshold, it indicates that the inspection management performance of all equipment during the supervision period is generally good, and a weak inspection signal is generated.

[0072] Embodiment 3: Figure 3 As shown, the difference between this embodiment and the first and second embodiments is that the visual equipment inspection alarm method proposed in the present invention includes the following steps:

[0073] Step 1: Obtain all devices that need to be inspected and supervised, and record any device as a target device, and determine the type of the target device;

[0074] Step 2: Calibrate the target device as an easy-to-detect device or a difficult-to-detect device through retrospective detection analysis, and store the calibration information of the target device;

[0075] Step 3: Obtain the target inspection personnel who are going to inspect the target equipment, and determine the compatibility between the target inspection personnel and the target equipment through analysis, and determine whether to generate arrangement warning information accordingly;

[0076] Step 4: If no early warning information is generated, arrange the target inspection personnel to inspect the target equipment, monitor the inspection process, and send the inspection monitoring image to the visualization module for visual display;

[0077] Step 5: Analyze the inspection execution performance of the current inspection process of the target equipment, and generate an inspection warning signal or an inspection pass signal through analysis.

[0078] The working principle of the present invention is as follows: when in use, a retrospective detection analysis is performed through a classification calibration module to calibrate the target device as an easy-to-inspect device or a difficult-to-inspect device, so that corresponding inspection management intensity can be adopted for different devices in the future, which is conducive to ensuring the safe and stable operation of each device; before inspecting the target device, an analysis is performed through an inspection arrangement and early warning module to determine the matching of the inspection personnel and the target device, and when generating arrangement and early warning information, the inspection personnel of the target device are replaced or the supervision of the corresponding inspection process is strengthened, which is conducive to the arrangement and control of the inspection personnel and reduces the management difficulty of the management personnel; when inspecting the target device, the inspection process is monitored through an inspection execution monitoring module, and an inspection early warning signal or an inspection qualified signal of the corresponding inspection process is generated through inspection execution performance analysis, so as to strengthen the inspection supervision and training of the corresponding inspection personnel in the future, and ensure the subsequent inspection effect, with a high degree of intelligence.

[0079] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Visual equipment inspection and alarm system, characterized by: It includes a server, a classification and calibration module, an inspection arrangement and alarm module, an inspection execution monitoring module and a visualization module; the classification and calibration module obtains all the equipment that needs to be inspected and supervised, and records any of them as a target device, determines the type of the target device, and after calibrating the target device as an easy-to-inspect device or a difficult-to-inspect device through retrospective detection and analysis, sends the calibration information of the target device to the server for storage; Before inspecting the target equipment, the inspection arrangement alarm module obtains the target inspection personnel who are going to inspect the target equipment, and determines the matching between the target inspection personnel and the target equipment through analysis, and determines whether to generate arrangement warning information accordingly, and sends the arrangement warning information to the visualization module via the server, and the visualization module visualizes the arrangement warning information; When inspecting the target device, the inspection execution monitoring module monitors the inspection process, collects the inspection monitoring images and sends them to the visualization module in real time via the server for visual display, and analyzes the inspection execution performance of the target device during the current inspection process, generates an inspection warning signal or an inspection pass signal through the analysis, and sends the inspection warning signal or the inspection pass signal to the visualization module via the server.

2. The visual equipment inspection alarm system according to claim 1 is characterized in that: The specific analysis process of retrospective detection analysis includes: The production date of the target device is collected, and the interval between the current date and the production date is marked as the production time. A number of detection periods are set in the historical stage of the target device. If the target device is abnormal in any detection period, the detection period is marked as the abnormal operation period of the target device. The number of abnormal operation periods of the target device in the historical stage is obtained and the ratio is calculated with the total number of detection periods to obtain the abnormal operation detection value; The abnormal judgment value of the target device is obtained through analysis, and the traceback detection value is obtained by numerically calculating the abnormal judgment value, production time and operation abnormality detection value. The traceback detection value is numerically compared with the preset traceback detection threshold of the corresponding type of equipment. If the traceback detection value exceeds the preset traceback detection threshold, the target device is marked as a difficult-to-detect device; if the traceback detection value does not exceed the preset traceback detection threshold, the target device is marked as an easy-to-detect device.

3. The visual equipment inspection alarm system according to claim 2 is characterized in that: The analysis and acquisition method of the abnormal judgment value includes: All anomalies that occurred in the target device in the historical stage are collected, and all anomalies are classified, the number of each type of anomaly that occurred in the target device in the historical stage is determined and marked as the anomaly detection value of each type of anomaly; each type of anomaly in the corresponding type of device is set in advance to correspond to a set of preset impact values, the product of the anomaly detection value of each type of anomaly in the target device and the matched preset impact value is marked as the anomaly analysis value of each type of anomaly, and all anomaly analysis values ​​of the target device are summed up and calculated to obtain the anomaly judgment value of the target device.

4. The visual equipment inspection alarm system according to claim 1 is characterized in that: The specific analysis process of the inspection arrangement alarm module includes: The type of the target device is obtained, the total historical inspection time of the target inspection personnel for the corresponding type of equipment is collected and marked as the same type of inspection time value, and the historical inspection times of the target inspection personnel for the target device are collected and marked as the device inspection frequency value, and the target inspection personnel's inspection time for each target device is summed up to obtain the device inspection time value; The neighboring patrol meter values ​​of the target patrol personnel are obtained through analysis, and the patrol arrangement risk value is obtained by numerically calculating the neighboring patrol meter values, the same type patrol time values, the equipment patrol frequency values ​​and the equipment patrol time values. If the target equipment is a difficult-to-inspect equipment, a preset patrol arrangement risk threshold TP1 is assigned; if the target equipment is an easy-to-inspect equipment, a preset patrol arrangement risk threshold TP2 is assigned, and TP1>TP2>0; The inspection arrangement risk value is numerically compared with the corresponding preset inspection arrangement risk threshold. If the inspection arrangement risk value does not exceed the corresponding preset inspection arrangement risk threshold, an arrangement warning information is generated.

5. The visual equipment inspection alarm system according to claim 4 is characterized in that: The analysis and acquisition methods of the adjacent patrol meter values ​​include: The total number of equipment inspections performed by the target inspection personnel during the detection period is collected and marked as the neighboring patrol frequency value, and the number of inspection warning signals generated for the target inspection personnel during the detection period is collected and marked as the neighboring patrol anomaly value, and the ratio of the neighboring patrol anomaly value to the neighboring patrol frequency value is marked as the neighboring patrol value.

6. The visual equipment inspection alarm system according to claim 1 is characterized in that: The specific analysis process of inspection execution performance analysis includes: Obtain the task information of the current inspection process, determine all inspection items based on the task information of the current inspection process, determine the frequency of incorrect operation performed by the inspection personnel on each inspection item based on the inspection monitoring image, and for any inspection item, compare its incorrect operation frequency with the preset incorrect operation frequency threshold. If the incorrect operation frequency exceeds the preset incorrect operation frequency threshold, mark the inspection item as an abnormal item. The ratio of the execution error operation frequency of each inspection item to the corresponding preset execution error operation frequency threshold is marked as the execution error risk value of each inspection item, and the execution error risk values ​​of all inspection items actually executed in the inspection process are averaged to obtain the inspection execution value of the inspection process; The number of abnormal items in the current inspection process is calculated by the ratio of the number of inspection items actually executed to the total number of inspection items actually executed to obtain the abnormal analysis value, and the number of inspection items not executed is calculated by the ratio of the total number of inspection items to obtain the execution missing value; The inspection execution evaluation value is obtained by numerically calculating the inspection execution measurement value, the abnormality analysis value and the execution missing value, and the inspection execution evaluation value is numerically compared with the preset inspection execution evaluation threshold. If the inspection execution evaluation value exceeds the preset inspection execution evaluation threshold, an inspection warning signal for the current inspection process is generated; if the inspection execution evaluation value does not exceed the preset inspection execution evaluation threshold, an inspection qualified signal for the current inspection process is generated.

7. The visual equipment inspection alarm system according to claim 1 is characterized in that: The server communication is connected to the equipment inspection analysis module. The equipment inspection analysis module is used to set the supervision cycle, conduct a comprehensive evaluation and analysis on the inspection status of all equipment that needs to be inspected and supervised within the supervision cycle, generate a strong inspection signal or a weak inspection signal, and send the strong inspection signal or the weak inspection signal to the visualization module via the server.

8. The visual equipment inspection alarm system according to claim 7 is characterized in that: The specific analysis process of the equipment inspection analysis module includes: Collect all inspection moments for the target device within the supervision period, mark two adjacent groups of inspection moments as isolation durations, calculate the average of all isolation durations to obtain an isolation time value, and mark the number of inspections for the target device within the supervision period as the inspection frequency value, and mark the number of isolation durations that exceed the preset isolation duration threshold of the corresponding type of device as the isolation time difference value; The target device patrol value is obtained by numerically calculating the isolation time value, the patrol frequency value and the isolation time difference value, and the target device patrol value is numerically compared with the preset device patrol threshold of the corresponding type of equipment. If the target device patrol value exceeds the preset device patrol threshold of the corresponding type of equipment, the target device is assigned a patrol symbol ZP-1; The total number of equipment and the total number of difficult-to-inspect equipment corresponding to the patrol symbol ZP-1 are obtained and marked as the patrol total value and patrol risk value respectively, the ratio of the target equipment patrol value to the preset equipment patrol threshold of the corresponding type of equipment is marked as the patrol percentage value, and the patrol percentage values ​​of all equipment that need patrol inspection and supervision are averaged to obtain the patrol performance value; The inspection summary value is obtained by numerically calculating the inspection overall condition value, the inspection hazard value and the inspection performance value, and the inspection summary value is numerically compared with the preset inspection summary threshold. If the inspection summary value exceeds the preset inspection summary threshold, a strong inspection signal is generated; if the inspection summary value does not exceed the preset inspection summary threshold, a weak inspection signal is generated.

9. Visualized equipment inspection alarm method, characterized in that: The method is implemented by using the visualization equipment inspection alarm system as described in any one of claims 1 to 8.

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