A mobile terminal-based inspection track positioning analysis system
The mobile terminal-based inspection trajectory positioning and analysis system solves the problems of inaccurate and difficult-to-manage inspection trajectories, achieving convenient and accurate inspection trajectory positioning and safety assurance, and improving the scientific management and standardized assessment of inspection work.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA THREE GORGES TECH CO LTD
- Filing Date
- 2023-05-15
- Publication Date
- 2026-05-12
AI Technical Summary
In the inspection of power plants, existing technologies are insufficient to achieve comprehensive and full-cycle supervision. Inspection trajectories are inaccurate, traditional paper records are time-consuming and labor-intensive, mobile apps combined with QR codes cannot verify the authenticity of trajectories, and electronic fences require maps and cannot be confirmed if they are outside the designated area. There is a lack of accurate personnel trajectory tracking and early warning capabilities.
A mobile terminal-based inspection trajectory positioning and analysis system is adopted, including an inspection trajectory positioning module, an electronic fence early warning module, an inspection record generation module, and an inspection record query module. It utilizes geographic information system maps, electronic fences, audio and video devices, and a smart IoT cloud platform to achieve accurate positioning, early warning, and record management of inspection trajectories.
It enables convenient and accurate positioning of inspection routes, ensures the safety of staff, improves the scientific management and standardized assessment of inspection work, and provides precise early warning and record-keeping capabilities.
Smart Images

Figure CN116612549B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent inspection technology, and in particular to an inspection trajectory positioning and analysis system based on a mobile terminal. Background Technology
[0002] Ensuring the safety of workers is paramount in the daily operation of the power plant. However, due to the numerous and widespread potential hazards, comprehensive and ongoing monitoring is difficult. Furthermore, many of the company's power plants are located in desert areas or complex environments, requiring reliable protection for the personal safety of frontline workers. This is especially true given the limitations of precise personnel tracking, incident prevention and retrospective analysis, the lack of early warning capabilities for abnormal personnel movements, and the significant challenges in recording and tracing safety incidents.
[0003] Currently, traditional paper-based records are still used in inspection work. These records are often time-consuming and labor-intensive, and the inspection trajectories may not be accurate. The recorded information is also difficult to analyze digitally. While using mobile apps combined with QR codes to record inspection work reduces the workload to some extent, the veracity of inspection trajectories is often uncertain due to the copyability of QR codes. Furthermore, the electronic fences used by the mobile apps need to be combined with the procurement map, and trajectories outside the map's boundaries cannot be confirmed.
[0004] Therefore, it is necessary to propose an inspection trajectory positioning and analysis system based on mobile terminals. Summary of the Invention
[0005] This invention provides a mobile terminal-based inspection trajectory positioning and analysis system. By using mobile terminals for inspection trajectory positioning, convenient, accurate and rapid positioning can be achieved, which can not only verify the work location of staff, but also ensure the safety of staff during inspection work.
[0006] This invention provides a mobile terminal-based inspection trajectory positioning and analysis system, comprising:
[0007] The inspection trajectory positioning module is used to display the inspection trajectory positioning of the inspection personnel based on the mobile terminal device with integrated positioning module carried by the inspection personnel and using the geographic information system map.
[0008] The electronic fence early warning module is used to draw electronic fences on the overlay layer of the geographic information system map and use the electronic fences to monitor the inspection trajectory of the inspection personnel.
[0009] The inspection record generation module is used to collect audio and video data of the inspection site through the audio and video device on the mobile terminal device and send it to the electronic work order management unit of the monitoring platform. The electronic work order management unit is used to realize the generation, archiving and traceability of inspection records.
[0010] The inspection record query module is used to store, query, and verify the inspection records of inspection personnel using the smart IoT cloud platform.
[0011] Furthermore, the inspection trajectory positioning module includes a mobile terminal device data acquisition and setting unit and a data acquisition conversion unit;
[0012] The mobile terminal device data acquisition and setting unit is used to set acquisition parameters and use these parameters to acquire the location data of the inspection personnel's inspection trajectory, thereby obtaining the first acquisition data. The acquisition parameters include acquisition frequency, acquisition accuracy, and acquisition program.
[0013] The data acquisition and conversion unit is used to receive the first acquired data based on the wireless communication network; based on the geographic information system map, it converts the latitude and longitude coordinate data of the earth in the first acquired data into geographic information system map coordinate data, and then generates the inspection trajectory location of the inspection personnel through dense point trajectory drawing and trajectory smoothing optimization algorithm.
[0014] Furthermore, the electronic fence early warning module includes:
[0015] Using planar geometric image drawing algorithms, electronic fences are drawn on the overlay layers of geographic information system maps;
[0016] Match and bind the fence area of the electronic fence with the boundary area of the inspection personnel's inspection trajectory, and set the early warning conditions of the electronic fence.
[0017] If the inspection personnel's inspection trajectory exceeds the boundary area of the inspection trajectory, the electronic fence's early warning condition is triggered, and the electronic fence issues an early warning reminder.
[0018] Furthermore, the electronic fence early warning module also includes an electronic fence early warning condition correction unit, used to correct the early warning conditions of the electronic fence to ensure that the electronic fence issues early warning reminders reasonably and accurately; the electronic fence early warning condition correction unit includes:
[0019] According to the preset first warning condition, the entire inspection process of the inspection personnel is tested, and the test warning reminder data issued by the electronic fence is obtained; based on the test warning reminder data, the duration and distance data of the inspection personnel's inspection trajectory exceeding the boundary area of the inspection trajectory are obtained; based on the duration and distance data of the exceeding, the warning sensitivity of the first warning condition is calculated.
[0020] Based on the historical location data of the inspection personnel's inspection trajectory, an inspection early warning sensitivity threshold is set. If the early warning sensitivity is greater than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is reduced by a preset adjustment range, and the first early warning condition is corrected accordingly. If the early warning sensitivity is less than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is increased by a preset adjustment range, and the first early warning condition is corrected accordingly.
[0021] Furthermore, the inspection record generation module includes:
[0022] Configure the audio and video capture method on the mobile terminal device;
[0023] Based on the acquisition method, audio and video data at the inspection site are collected using audio and video devices, and the audio and video data are sent to the electronic work order management unit of the monitoring platform via wireless network.
[0024] Based on the electronic work order management unit, audio and video data are parsed to generate inspection records, which are then archived and traced.
[0025] Furthermore, the inspection record query module includes an inspection record storage unit and an inspection record query unit;
[0026] The inspection record storage unit is used to upload the inspection records from the monitoring platform to the smart IoT cloud platform, and to store and manage the inspection records using the smart IoT cloud platform.
[0027] The inspection record query unit is used to perform queries based on the smart IoT cloud platform according to preset query methods, and to display the query results in real time through visualization.
[0028] Furthermore, the inspection record query module also includes an inspection record verification unit, used to verify the completeness of the inspection personnel's inspection work records; the inspection record verification unit includes:
[0029] Based on historical inspection records, extract several feature attribute values from the historical inspection records, and generate an inspection record verification template based on the feature attribute values;
[0030] Obtain the inspection record to be verified, extract the feature attribute values of the inspection record to be verified, use the inspection record verification template to perform the first verification of the inspection record to be verified, and obtain the first verification result.
[0031] If the first verification result is abnormal, obtain the feature attribute item that matches the abnormality based on the first verification result;
[0032] Based on the preset credibility judgment conditions, the credibility of the matched abnormal feature attribute items is determined. If the credibility is less than the preset credibility threshold, the first verification result is ignored as abnormal; if the credibility is greater than the preset credibility threshold, the first verification result is confirmed as abnormal. The credibility judgment conditions are set according to the importance of the feature attribute items to the inspection record and the probability of errors in the feature attribute items.
[0033] Furthermore, the inspection record monitoring module also includes an inspection work assessment unit, used to assess the inspection work of inspection personnel; the inspection work assessment unit includes:
[0034] Set up fixed segmented inspection routes for inspection staff and set a specified inspection time range for several inspection points;
[0035] Obtain the real-time segmented inspection trajectory of the inspection staff, and obtain the deviation value between the real-time segmented inspection trajectory and the fixed segmented inspection trajectory. If the deviation value is greater than the preset deviation value threshold and the duration of the deviation value is greater than the preset duration period, then generate the first work assessment violation item.
[0036] The system obtains the real-time inspection time of the inspection points of the inspection staff. If the real-time inspection time is less than the lower limit of the preset inspection time range, a second work assessment violation is generated. If the real-time inspection time is greater than the upper limit of the preset inspection time without the time spent on fault repair, a third work assessment violation is generated.
[0037] Based on the first, second, and third violations of the work assessment, and combined with the analysis results of the audio and video data, the inspection staff were assessed.
[0038] Furthermore, the inspection trajectory positioning module also includes an auxiliary positioning unit, used to confirm the positioning of inspection work points in conjunction with other positioning feedback methods; the auxiliary positioning unit includes:
[0039] Wireless radio frequency identification (RFID) near-field induction antennas, antenna readers, and infrared photoelectric sensors are installed at the inspection work points. RFID tags are installed on mobile terminal devices. When inspection personnel enter the inspection work point, the first location information of the inspection personnel is obtained through RFID. When the inspection personnel leave the inspection work point, the second location information of the inspection personnel is obtained through RFID.
[0040] Inspection staff use the audio and video devices on their mobile terminals to capture and send feedback audio and video data to the monitoring platform to generate third-party location information.
[0041] The monitoring platform assists in confirming the trajectory location of inspection personnel based on the first, second, and third location information, as well as the generation time of the first, second, and third location information.
[0042] Furthermore, it also includes an inspection work evaluation module, which is used to evaluate and adjust the inspection trajectory based on the location of the inspection personnel's inspection trajectory and the inspection records; the inspection work evaluation module includes an inspection work data statistics unit and an inspection work analysis and evaluation unit.
[0043] The inspection work data statistics unit is used to statistically obtain the timeliness value dataset of the inspection records based on historical inspection trajectory positioning and historical inspection records, and to obtain the first timeliness value range that meets the requirements of the inspection work based on the timeliness value dataset.
[0044] The inspection work analysis and evaluation unit is used to predict the optimal inspection trajectory based on the preset inspection trajectory prediction model; obtain several corresponding first inspection trajectories based on the range of the first timeliness value; adjust the optimal inspection trajectory and the first inspection trajectory to obtain the second inspection trajectory; and carry out inspection work according to the second inspection trajectory.
[0045] Compared with the prior art, the present invention has the following advantages and beneficial effects: by using mobile terminals for inspection trajectory positioning, convenient, accurate and fast positioning can be achieved, which can not only verify the working position of the staff, but also ensure the safety of the staff's inspection work.
[0046] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.
[0047] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description
[0048] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0049] Figure 1 This is a schematic diagram of the inspection trajectory positioning and analysis system based on a mobile terminal according to the present invention;
[0050] Figure 2 This is a schematic diagram of the inspection trajectory positioning module of the mobile terminal-based inspection trajectory positioning analysis system of the present invention;
[0051] Figure 3 This is a schematic diagram of the intelligent inspection record query module of the mobile terminal-based inspection trajectory positioning and analysis system of the present invention. Detailed Implementation
[0052] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.
[0053] This invention provides a mobile terminal-based inspection trajectory positioning and analysis system, such as... Figure 1 As shown, it includes:
[0054] The inspection trajectory positioning module is used to display the inspection trajectory positioning of the inspection personnel based on the mobile terminal device with integrated positioning module carried by the inspection personnel and using the geographic information system map.
[0055] The electronic fence early warning module is used to draw electronic fences on the overlay layer of the geographic information system map and use the electronic fences to monitor the inspection trajectory of the inspection personnel.
[0056] The inspection record generation module is used to collect audio and video data of the inspection site through the audio and video device on the mobile terminal device and send it to the electronic work order management unit of the monitoring platform. The electronic work order management unit is used to realize the generation, archiving and traceability of inspection records.
[0057] The inspection record query module is used to store, query, and verify the inspection records of inspection personnel using the smart IoT cloud platform.
[0058] The working principle of the above technical solution is as follows: the inspection trajectory positioning module is used to display the inspection trajectory positioning of the inspection personnel based on the mobile terminal device with integrated positioning module carried by the inspection personnel and the geographic information system map.
[0059] The electronic fence early warning module is used to draw electronic fences on the overlay layer of the geographic information system map and use the electronic fences to monitor the inspection trajectory of the inspection personnel.
[0060] The inspection record generation module is used to collect audio and video data of the inspection site through the audio and video device on the mobile terminal device and send it to the electronic work order management unit of the monitoring platform. The electronic work order management unit is used to realize the generation, archiving and traceability of inspection records.
[0061] The inspection record query module is used to store, query, and verify the inspection records of inspection personnel using the smart IoT cloud platform.
[0062] The beneficial effects of the above technical solution are as follows: By using the solution provided in this embodiment, the inspection trajectory positioning based on the mobile terminal can achieve convenient, accurate and fast positioning, which can not only verify the working position of the staff, but also ensure the safety of the staff's inspection work.
[0063] In one embodiment, such as Figure 2 As shown, the inspection trajectory positioning module includes a mobile terminal device data acquisition and setting unit and a data acquisition and conversion unit;
[0064] The mobile terminal device data acquisition and setting unit is used to set acquisition parameters and use these parameters to acquire the location data of the inspection personnel's inspection trajectory, thereby obtaining the first acquisition data. The acquisition parameters include acquisition frequency, acquisition accuracy, and acquisition program.
[0065] The data acquisition and conversion unit is used to receive the first acquired data based on the wireless communication network; based on the geographic information system map, it converts the latitude and longitude coordinate data of the earth in the first acquired data into geographic information system map coordinate data, and then generates the inspection trajectory location of the inspection personnel through dense point trajectory drawing and trajectory smoothing optimization algorithm.
[0066] The working principle of the above technical solution is as follows: the inspection trajectory positioning module includes a mobile terminal device data acquisition and setting unit and a data acquisition conversion unit;
[0067] The mobile terminal device data acquisition and setting unit is used to set acquisition parameters and use these parameters to acquire the location data of the inspection personnel's inspection trajectory, thereby obtaining the first acquisition data. The acquisition parameters include acquisition frequency, acquisition accuracy, and acquisition program.
[0068] The data acquisition and conversion unit is used to receive the first acquired data based on the wireless communication network; based on the geographic information system map, it converts the latitude and longitude coordinate data of the earth in the first acquired data into geographic information system map coordinate data, and then generates the inspection trajectory location of the inspection personnel through dense point trajectory drawing and trajectory smoothing optimization algorithm.
[0069] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, the obtained positioning data is converted into geographic information system map coordinate data, which facilitates the analysis and use of the data.
[0070] In one embodiment, the electronic fence early warning module includes:
[0071] Using planar geometric image drawing algorithms, electronic fences are drawn on the overlay layers of geographic information system maps;
[0072] Match and bind the fence area of the electronic fence with the boundary area of the inspection personnel's inspection trajectory, and set the early warning conditions of the electronic fence.
[0073] If the inspection personnel's inspection trajectory exceeds the boundary area of the inspection trajectory, the electronic fence's early warning condition is triggered, and the electronic fence issues an early warning reminder.
[0074] The working principle of the above technical solution is as follows: The electronic fence early warning module includes:
[0075] Using planar geometric image drawing algorithms, electronic fences are drawn on the overlay layers of geographic information system maps;
[0076] Match and bind the fence area of the electronic fence with the boundary area of the inspection personnel's inspection trajectory, and set the early warning conditions of the electronic fence.
[0077] If the inspection personnel's inspection trajectory exceeds the boundary area of the inspection trajectory, the electronic fence's early warning condition is triggered, and the electronic fence issues an early warning reminder.
[0078] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment and setting up an electronic fence early warning system, the inspection work of the inspection personnel can be carried out in an orderly manner.
[0079] In one embodiment, the electronic fence early warning module further includes an electronic fence early warning condition correction unit, used to correct the early warning conditions of the electronic fence to ensure that the electronic fence issues early warning reminders reasonably and accurately; the electronic fence early warning condition correction unit includes:
[0080] According to the preset first warning condition, the entire inspection process of the inspection personnel is tested, and the test warning reminder data issued by the electronic fence is obtained; based on the test warning reminder data, the duration and distance data of the inspection personnel's inspection trajectory exceeding the boundary area of the inspection trajectory are obtained; based on the duration and distance data of the exceeding, the warning sensitivity of the first warning condition is calculated.
[0081] Based on the historical location data of the inspection personnel's inspection trajectory, an inspection early warning sensitivity threshold is set. If the early warning sensitivity is greater than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is reduced by a preset adjustment range, and the first early warning condition is corrected accordingly. If the early warning sensitivity is less than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is increased by a preset adjustment range, and the first early warning condition is corrected accordingly.
[0082] The working principle of the above technical solution is as follows: The electronic fence early warning module also includes an electronic fence early warning condition correction unit, which is used to correct the early warning conditions of the electronic fence to ensure that the electronic fence issues early warning reminders reasonably and accurately; the electronic fence early warning condition correction unit includes:
[0083] According to the preset first warning condition, the entire inspection process of the inspection personnel is tested, and the test warning reminder data issued by the electronic fence is obtained; based on the test warning reminder data, the duration and distance data of the inspection personnel's inspection trajectory exceeding the boundary area of the inspection trajectory are obtained; based on the duration and distance data of the exceeding, the warning sensitivity of the first warning condition is calculated.
[0084] Based on the historical location data of the inspection personnel's inspection trajectory, an inspection early warning sensitivity threshold is set. If the early warning sensitivity is greater than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is reduced by a preset adjustment range, and the first early warning condition is corrected accordingly. If the early warning sensitivity is less than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is increased by a preset adjustment range, and the first early warning condition is corrected accordingly.
[0085] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, the warning conditions of the electronic fence can be modified to ensure that the electronic fence issues warning reminders reasonably and accurately.
[0086] In one embodiment, the inspection record generation module includes:
[0087] Configure the audio and video capture method on the mobile terminal device;
[0088] Based on the acquisition method, audio and video data at the inspection site are collected using audio and video devices, and the audio and video data are sent to the electronic work order management unit of the monitoring platform via wireless network.
[0089] Based on the electronic work order management unit, audio and video data are parsed to generate inspection records, which are then archived and traced.
[0090] The working principle of the above technical solution is as follows: The inspection record generation module includes:
[0091] Configure the audio and video capture method on the mobile terminal device;
[0092] Based on the acquisition method, audio and video data at the inspection site are collected using audio and video devices, and the audio and video data are sent to the electronic work order management unit of the monitoring platform via wireless network.
[0093] Based on the electronic work order management unit, audio and video data are parsed to generate inspection records, which are then archived and traced.
[0094] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment, inspection records are generated, which provides data reference for the evaluation of subsequent inspection work.
[0095] In one embodiment, such as Figure 3 As shown, the inspection record query module includes an inspection record storage unit and an inspection record query unit;
[0096] The inspection record storage unit is used to upload the inspection records from the monitoring platform to the smart IoT cloud platform, and to store and manage the inspection records using the smart IoT cloud platform.
[0097] The inspection record query unit is used to perform queries based on the smart IoT cloud platform according to preset query methods, and to display the query results in real time through visualization.
[0098] The working principle of the above technical solution is as follows: the inspection record query module includes an inspection record storage unit and an inspection record query unit;
[0099] The inspection record storage unit is used to upload the inspection records from the monitoring platform to the smart IoT cloud platform, and to store and manage the inspection records using the smart IoT cloud platform.
[0100] The inspection record query unit is used to perform queries based on the smart IoT cloud platform according to preset query methods, and to display the query results in real time through visualization.
[0101] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment, the scientific management of inspection records is facilitated through the storage and retrieval of inspection records.
[0102] In one embodiment, the inspection record query module further includes an inspection record verification unit for verifying the completeness of the inspection personnel's inspection work records; the inspection record verification unit includes:
[0103] Based on historical inspection records, extract several feature attribute values from the historical inspection records, and generate an inspection record verification template based on the feature attribute values;
[0104] Obtain the inspection record to be verified, extract the feature attribute values of the inspection record to be verified, use the inspection record verification template to perform the first verification of the inspection record to be verified, and obtain the first verification result.
[0105] If the first verification result is abnormal, obtain the feature attribute item that matches the abnormality based on the first verification result;
[0106] Based on the preset credibility judgment conditions, the credibility of the matched abnormal feature attribute items is determined. If the credibility is less than the preset credibility threshold, the first verification result is ignored as abnormal; if the credibility is greater than the preset credibility threshold, the first verification result is confirmed as abnormal. The credibility judgment conditions are set according to the importance of the feature attribute items to the inspection record and the probability of errors in the feature attribute items.
[0107] The working principle of the above technical solution is as follows: the inspection record query module also includes an inspection record verification unit, which is used to verify the completeness of the inspection personnel's inspection work records; the inspection record verification unit includes:
[0108] Based on historical inspection records, extract several feature attribute values from the historical inspection records, and generate an inspection record verification template based on the feature attribute values;
[0109] Obtain the inspection record to be verified, extract the feature attribute values of the inspection record to be verified, use the inspection record verification template to perform the first verification of the inspection record to be verified, and obtain the first verification result.
[0110] If the first verification result is abnormal, obtain the feature attribute item that matches the abnormality based on the first verification result;
[0111] Based on the preset credibility judgment conditions, the credibility of the matched abnormal feature attribute items is determined. If the credibility is less than the preset credibility threshold, the first verification result is ignored as abnormal; if the credibility is greater than the preset credibility threshold, the first verification result is confirmed as abnormal. The credibility judgment conditions are set according to the importance of the feature attribute items to the inspection record and the probability of errors in the feature attribute items.
[0112] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment, accurate and comprehensive inspection records can be obtained through the verification of inspection records.
[0113] In one embodiment, the inspection record monitoring module further includes an inspection work assessment unit for assessing the inspection work of inspection personnel; the inspection work assessment unit includes:
[0114] Set up fixed segmented inspection routes for inspection staff and set a specified inspection time range for several inspection points;
[0115] Obtain the real-time segmented inspection trajectory of the inspection staff, and obtain the deviation value between the real-time segmented inspection trajectory and the fixed segmented inspection trajectory. If the deviation value is greater than the preset deviation value threshold and the duration of the deviation value is greater than the preset duration period, then generate the first work assessment violation item.
[0116] The system obtains the real-time inspection time of the inspection points of the inspection staff. If the real-time inspection time is less than the lower limit of the preset inspection time range, a second work assessment violation is generated. If the real-time inspection time is greater than the upper limit of the preset inspection time without the time spent on fault repair, a third work assessment violation is generated.
[0117] Based on the first, second, and third violations of the work assessment, and combined with the analysis results of the audio and video data, the inspection staff were assessed.
[0118] The working principle of the above technical solution is as follows: the inspection record monitoring module also includes an inspection work assessment unit, which is used to assess the inspection work of the inspection personnel; the inspection work assessment unit includes:
[0119] Set up fixed segmented inspection routes for inspection staff and set a specified inspection time range for several inspection points;
[0120] Obtain the real-time segmented inspection trajectory of the inspection staff, and obtain the deviation value between the real-time segmented inspection trajectory and the fixed segmented inspection trajectory. If the deviation value is greater than the preset deviation value threshold and the duration of the deviation value is greater than the preset duration period, then generate the first work assessment violation item.
[0121] The system obtains the real-time inspection time of the inspection points of the inspection staff. If the real-time inspection time is less than the lower limit of the preset inspection time range, a second work assessment violation is generated. If the real-time inspection time is greater than the upper limit of the preset inspection time without the time spent on fault repair, a third work assessment violation is generated.
[0122] Based on the first, second, and third violations of the work assessment, and combined with the analysis results of the audio and video data, the inspection staff were assessed.
[0123] The beneficial effects of the above technical solution are as follows: by using the solution provided in this embodiment, the inspection staff can be assessed by obtaining the violation items in the work assessment, thereby improving the standardization and effectiveness of the inspection assessment.
[0124] In one embodiment, the inspection trajectory positioning module further includes an auxiliary positioning unit, used to confirm the positioning of the inspection work point by combining other positioning feedback methods; the auxiliary positioning unit includes:
[0125] Wireless radio frequency identification (RFID) near-field induction antennas, antenna readers, and infrared photoelectric sensors are installed at the inspection work points. RFID tags are installed on mobile terminal devices. When inspection personnel enter the inspection work point, the first location information of the inspection personnel is obtained through RFID. When the inspection personnel leave the inspection work point, the second location information of the inspection personnel is obtained through RFID.
[0126] Inspection staff use the audio and video devices on their mobile terminals to capture and send feedback audio and video data to the monitoring platform to generate third-party location information.
[0127] The monitoring platform assists in confirming the trajectory location of inspection personnel based on the first, second, and third location information, as well as the generation time of the first, second, and third location information.
[0128] The working principle of the above technical solution is as follows: the inspection trajectory positioning module also includes an auxiliary positioning unit, which is used to confirm the positioning of the inspection work point in conjunction with other positioning feedback methods; the auxiliary positioning unit includes:
[0129] Wireless radio frequency identification (RFID) near-field induction antennas, antenna readers, and infrared photoelectric sensors are installed at the inspection work points. RFID tags are installed on mobile terminal devices. When inspection personnel enter the inspection work point, the first location information of the inspection personnel is obtained through RFID. When the inspection personnel leave the inspection work point, the second location information of the inspection personnel is obtained through RFID.
[0130] Inspection staff use the audio and video devices on their mobile terminals to capture and send feedback audio and video data to the monitoring platform to generate third-party location information.
[0131] The monitoring platform assists in confirming the trajectory location of inspection personnel based on the first, second, and third location information, as well as the generation time of the first, second, and third location information.
[0132] The beneficial effects of the above technical solution are as follows: by adopting the solution provided in this embodiment and combining it with other positioning feedback methods to confirm the positioning of the inspection work points, the accuracy of the positioning of the inspection work points can be guaranteed.
[0133] In one embodiment, the system further includes an inspection work evaluation module, which is used to evaluate and adjust the inspection trajectory based on the location of the inspection personnel's inspection trajectory and the inspection records; the inspection work evaluation module includes an inspection work data statistics unit and an inspection work analysis and evaluation unit.
[0134] The inspection work data statistics unit is used to statistically obtain the timeliness value dataset of the inspection records based on historical inspection trajectory positioning and historical inspection records, and to obtain the first timeliness value range that meets the requirements of the inspection work based on the timeliness value dataset.
[0135] The inspection work analysis and evaluation unit is used to predict the optimal inspection trajectory based on the preset inspection trajectory prediction model; obtain several corresponding first inspection trajectories based on the range of the first timeliness value; adjust the optimal inspection trajectory and the first inspection trajectory to obtain the second inspection trajectory; and carry out inspection work according to the second inspection trajectory.
[0136] The working principle of the above technical solution is as follows: it also includes an inspection work evaluation module, which is used to evaluate and adjust the inspection trajectory based on the inspection personnel's inspection trajectory location and inspection records; the inspection work evaluation module includes an inspection work data statistics unit and an inspection work analysis and evaluation unit.
[0137] The inspection work data statistics unit is used to statistically obtain the timeliness value dataset of the inspection records based on historical inspection trajectory positioning and historical inspection records, and to obtain the first timeliness value range that meets the requirements of the inspection work based on the timeliness value dataset.
[0138] The inspection work analysis and evaluation unit is used to predict the optimal inspection trajectory based on the preset inspection trajectory prediction model; obtain several corresponding first inspection trajectories based on the range of the first timeliness value; adjust the optimal inspection trajectory and the first inspection trajectory to obtain the second inspection trajectory; and carry out inspection work according to the second inspection trajectory.
[0139] To better achieve the overlap adjustment process, a function is first fitted to several first inspection trajectories to obtain a fitted inspection trajectory. Then, the fitted inspection trajectory is compared with the optimal inspection trajectory for overlap processing. Specifically, the formula for calculating the fitting function is as follows:
[0140] F = a0 + a1*i + a2*i 2 +…+a k-1 *i k-1
[0141] In the above formula, k < j, a j It is the coefficient of the j-th term, j = 0, 1, 2, ..., k-1; i j represents the coordinate value of the selected coordinate point of the j-th trajectory, and F represents the fitting function;
[0142] The beneficial effects of the above technical solution are as follows: By adopting the solution provided in this embodiment, the inspection trajectory can be evaluated and adjusted based on the location of the inspection personnel's inspection trajectory and the inspection records, which can ensure the scientific rationality of the inspection trajectory. By using a fitting function to fit the inspection trajectory, it is convenient to quickly and efficiently perform overlapping adjustment processing of the inspection trajectory.
[0143] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A mobile terminal-based inspection trajectory positioning and analysis system, characterized in that, include: The inspection trajectory positioning module is used to display the inspection trajectory positioning of the inspection personnel based on the mobile terminal device with integrated positioning module carried by the inspection personnel and using the geographic information system map. The inspection trajectory positioning module also includes an auxiliary positioning unit, which is used to confirm the positioning of the inspection work point by combining other positioning feedback methods; The auxiliary positioning unit includes: a radio frequency identification (RFID) near-field induction antenna, an antenna reader, and an infrared photoelectric sensor set at the inspection work point; and an RFID tag set on the mobile terminal device. If the inspection personnel enter the inspection work point, the first positioning information of the inspection personnel is obtained through RFID; when the inspection personnel leave the inspection work point, the second positioning information of the inspection personnel is obtained through RFID. Inspection staff use the audio and video devices on their mobile terminals to capture and send feedback audio and video data to the monitoring platform to generate third-party location information. The monitoring platform assists in confirming the trajectory location of the inspection staff based on the first, second, and third location information, as well as the generation time of each location information. The electronic fence early warning module is used to draw electronic fences on the overlay layer of the geographic information system map and use the electronic fences to monitor the inspection trajectory of the inspection personnel. The inspection record generation module is used to collect audio and video data of the inspection site through the audio and video device on the mobile terminal device and send it to the electronic work order management unit of the monitoring platform. The electronic work order management unit is used to realize the generation, archiving and traceability of inspection records. The inspection record query module is used to store, query, and verify the inspection records of inspection personnel using the smart IoT cloud platform; specifically: The smart IoT cloud platform is used to store and manage the inspection records uploaded from the monitoring platform; Based on the smart IoT cloud platform, queries are performed according to preset query methods, and the query results are displayed in real time in a visual format; Based on historical inspection records, extract several feature attribute values from the historical inspection records, and generate an inspection record verification template based on the feature attribute values; Obtain the inspection record to be verified, extract the feature attribute values of the inspection record to be verified, use the inspection record verification template to perform the first verification of the inspection record to be verified, and obtain the first verification result. If the first verification result is abnormal, obtain the feature attribute item that matches the abnormality based on the first verification result; Based on the preset credibility judgment conditions, the credibility of the matched abnormal feature attribute items is determined. If the credibility is less than the preset credibility threshold, the first verification result is ignored as abnormal; if the credibility is greater than the preset credibility threshold, the first verification result is confirmed as abnormal. The credibility judgment conditions are set according to the importance of the feature attribute items to the inspection record and the probability of errors in the feature attribute items. It also includes an inspection work evaluation module, used to evaluate and adjust the inspection trajectory based on the location and records of the inspection personnel; specifically: Based on historical inspection trajectory positioning and historical inspection records, a dataset of timeliness values for inspection records is obtained statistically, and based on the timeliness value dataset, the first range of timeliness values that meet the requirements of inspection work is obtained. Based on the preset inspection trajectory prediction model, the optimal inspection trajectory is predicted and obtained; based on the range of the first timeliness value, several corresponding first inspection trajectories are obtained; the optimal inspection trajectory and the first inspection trajectories are overlapped and adjusted to obtain the second inspection trajectory; specifically: firstly, a function is fitted to several first inspection trajectories to obtain the fitted inspection trajectory, and then the fitted inspection trajectory is overlapped with the optimal trajectory; the specific formula for calculating the fitting function is: F=a0+a1*i+a2*i 2 +…+a k-1 *i k-1 In the above formula, k < j, a j It is the coefficient of the j-th term, j = 0, 1, 2, ..., k-1; i j represents the coordinate value of the selected coordinate point of the j-th trajectory, and F represents the fitting function; Conduct inspections according to the second inspection route.
2. The inspection trajectory positioning and analysis system based on a mobile terminal according to claim 1, characterized in that, The inspection trajectory positioning module includes a mobile terminal device data acquisition and setting unit and a data acquisition and conversion unit; The mobile terminal device data acquisition and setting unit is used to set acquisition parameters and use these parameters to acquire the location data of the inspection personnel's inspection trajectory, thereby obtaining the first acquisition data. The acquisition parameters include acquisition frequency, acquisition accuracy, and acquisition program. The data acquisition and conversion unit is used to receive the first acquired data based on a wireless communication network; Based on the geographic information system map, the latitude and longitude coordinates of the earth in the first data collection are converted into geographic information system map coordinate data. Then, through dense point trajectory drawing and trajectory smoothing optimization algorithms, the inspection trajectory positioning of the inspection personnel is generated.
3. The inspection trajectory positioning and analysis system based on a mobile terminal according to claim 1, characterized in that, The electronic fence early warning module includes: Using planar geometric image drawing algorithms, electronic fences are drawn on the overlay layers of geographic information system maps; Match and bind the fence area of the electronic fence with the boundary area of the inspection personnel's inspection trajectory, and set the early warning conditions of the electronic fence. If the inspection personnel's inspection trajectory exceeds the boundary area of the inspection trajectory, the electronic fence's early warning condition is triggered, and the electronic fence issues an early warning reminder.
4. The inspection trajectory positioning and analysis system based on a mobile terminal according to claim 3, characterized in that, The electronic fence early warning module also includes an electronic fence early warning condition correction unit, which is used to correct the early warning conditions of the electronic fence to ensure that the electronic fence issues early warning reminders reasonably and accurately. The electronic fence early warning condition correction unit includes: According to the preset first warning condition, the entire inspection process of the inspection personnel is tested, and the test warning reminder data issued by the electronic fence is obtained; based on the test warning reminder data, the duration and distance data of the inspection personnel's inspection trajectory exceeding the boundary area of the inspection trajectory are obtained; based on the duration and distance data of the exceeding, the warning sensitivity of the first warning condition is calculated. Based on the historical location data of the inspection personnel's inspection trajectory, an inspection early warning sensitivity threshold is set. If the early warning sensitivity is greater than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is reduced by a preset adjustment range, and the first early warning condition is corrected accordingly. If the early warning sensitivity is less than the inspection early warning sensitivity threshold, the early warning sensitivity of the first early warning condition is increased by a preset adjustment range, and the first early warning condition is corrected accordingly.
5. The inspection trajectory positioning and analysis system based on a mobile terminal according to claim 1, characterized in that, The inspection record generation module includes: Configure the audio and video capture method on the mobile terminal device; Based on the acquisition method, audio and video data at the inspection site are collected using audio and video devices, and the audio and video data are sent to the electronic work order management unit of the monitoring platform via wireless network. Based on the electronic work order management unit, audio and video data are parsed to generate inspection records, which are then archived and traced.
6. The inspection trajectory positioning and analysis system based on a mobile terminal according to claim 4, characterized in that, The inspection record monitoring module also includes an inspection work assessment unit, which is used to assess the inspection work of inspection staff. The inspection work assessment units include: Set up fixed segmented inspection routes for inspection staff and set a specified inspection time range for several inspection points; Obtain the real-time segmented inspection trajectory of the inspection staff, and obtain the deviation value between the real-time segmented inspection trajectory and the fixed segmented inspection trajectory. If the deviation value is greater than the preset deviation value threshold and the duration of the deviation value is greater than the preset duration period, then generate the first work assessment violation item. The system obtains the real-time inspection time of the inspection points of the inspection staff. If the real-time inspection time is less than the lower limit of the preset inspection time range, a second work assessment violation is generated. If the real-time inspection time is greater than the upper limit of the preset inspection time without the time spent on fault repair, a third work assessment violation is generated. Based on the first, second, and third violations of the work assessment, and combined with the analysis results of the audio and video data, the inspection staff were assessed.