Analysis system for tunnel and corridor management

Abstract

The present invention belongs to the technical field of pipe gallery monitoring, and specifically relates to an analysis system for tunnel pipe gallery management, including a collection end, a background end and a maintenance end; the collection end includes a collection module for collecting monitoring data; the background end includes a storage module, a processing module and an input module; the processing module is used to analyze whether there is an abnormality according to the monitoring data, and is also used to generate maintenance information and send it to the maintenance end when the analysis result shows that there is an abnormality; the maintenance end includes a transceiver module and an upload module; the transceiver module is used to receive the maintenance information; the upload module is used to upload the maintenance result; the storage module is used to store the abnormal information and the maintenance result; the input module is used to input a statistical analysis signal, and the statistical analysis signal includes a statistical time; the processing module is used to perform statistical analysis on the abnormal data within the statistical time after receiving the statistical analysis signal, and generate an abnormal analysis report. The present application allows management personnel to easily manage the real-time status of the pipe gallery.

Description

Technical Field

[0001] The invention belongs to the technical field of pipe gallery monitoring, and in particular relates to an analysis system for tunnel pipe gallery management. Background Art

[0002] The urban underground comprehensive pipeline corridor is an effective solution to solve the problems of repeated excavation of urban roads, dense overhead line networks, and frequent pipeline accidents. It is conducive to improving the comprehensive carrying capacity of cities and the quality of urbanization development. The comprehensive pipeline corridor carries various basic support facilities and pipelines such as urban power supply, water supply, gas supply, drainage, and communications. Once a disaster occurs, it will cause incalculable losses. In order to ensure the normal operation of the pipeline corridor, it is necessary to conduct comprehensive monitoring of the pipeline corridor.

[0003] In order to facilitate the monitoring of the status of the pipeline corridor, a pipeline corridor monitoring system is usually set up. Various detection devices are installed inside and outside the pipeline corridor to collect the data of the pipeline corridor, and the collected data is analyzed through the background to understand whether there is any abnormality in the pipeline corridor. Some monitoring systems will also be equipped with an alarm device. When an abnormality occurs, the background will control the alarm device to sound an alarm to let the management personnel know the situation.

[0004] However, when the size of the pipe gallery is large, the monitoring space is large and the data types are more, so abnormal situations often occur. Although the existing system allows managers to understand the situation in time when an abnormality occurs, dispatch maintenance personnel to deal with it in time, and understand the follow-up situation based on the feedback of maintenance personnel, when there are many abnormalities at the same time, management confusion is likely to occur, and it is difficult for managers to grasp the current progress of each abnormality; if management is carried out by frequently checking abnormal records and maintenance records, not only is the workload heavy, but it is also easy to miss or make mistakes. Summary of the invention

[0005] The purpose of the present invention is to provide an analysis system for tunnel corridor management, which allows management personnel to easily manage the real-time status of the corridor.

[0006] The basic scheme provided by the present invention is:

[0007] An analysis system for tunnel and pipe gallery management, comprising a collection end, a background end and a maintenance end;

[0008] The acquisition end includes an acquisition module for collecting monitoring data; the backend includes a storage module, a processing module and an input module; the processing module is used to analyze whether there is an abnormality based on the monitoring data, and is also used to generate maintenance information and send it to the maintenance end when the analysis result shows that there is an abnormality; the maintenance end includes a transceiver module and an upload module; the transceiver module is used to receive maintenance information; the upload module is used to upload maintenance results; the storage module is used to store abnormal information and maintenance results;

[0009] The input module is used to input statistical analysis signals, which include statistical time. The processing module is used to perform statistical analysis on abnormal data within the statistical time after receiving the statistical analysis signal, and generate an abnormal analysis report. The abnormal analysis report includes the classification of abnormalities, the number of abnormalities under each classification, the location and processing status of each abnormality, and also includes subsequent processing suggestions.

[0010] Basic solution working principle and beneficial effects:

[0011] When using this system, the processing module will generate maintenance information after analyzing the problem and send it to the maintenance end. After the maintenance, the maintenance personnel can upload the maintenance results through the upload module. When it is necessary to understand the recent abnormal conditions of the pipeline corridor, the management personnel can input the statistical analysis signal through the input module. The processing module will perform statistical analysis on the abnormal data according to the statistical time in the statistical analysis signal, and generate abnormal analysis including; through the classification in the abnormal analysis report, the number of abnormalities under each classification, the location of each abnormality and the processing status, the management personnel can fully understand the recent abnormal conditions of the pipeline corridor, and through the follow-up processing suggestions in the abnormal analysis report, the management personnel can carry out targeted follow-up processing.

[0012] Compared with the existing method in which technical managers search, analyze, and compile statistics of abnormal records and maintenance records by themselves, by using this system, managers can not only easily understand the recent abnormal conditions of the pipeline corridor, but also easily obtain subsequent processing suggestions.

[0013] In summary, this application allows managers to easily manage the real-time status of the pipeline corridor.

[0014] Furthermore, the processing module is also used to verify the maintenance result according to the monitoring data, and when the verification result shows that the maintenance result is inaccurate, mark the maintenance end that sent the maintenance result for re-inspection, and generate secondary maintenance information and send it to the maintenance end.

[0015] Beneficial effects: After the maintenance personnel complete the maintenance and upload the maintenance results, the processing module will verify the maintenance results. If the verification result shows that the maintenance results are inaccurate, it means that there is a problem with the maintenance personnel's maintenance and it needs to be processed again. Therefore, the processing module marks the maintenance end of the maintenance personnel for return inspection to facilitate the management personnel to understand the situation; at the same time, the processing module generates secondary maintenance information and sends it to the maintenance end. Since the maintenance personnel are usually near the maintenance point when uploading the maintenance results, this method allows the maintenance personnel to quickly conduct secondary maintenance on the inaccurate maintenance areas to prevent the abnormality from persisting or even becoming more serious due to improper maintenance.

[0016] Furthermore, it also includes a management end; the transceiver module is also used to input a return inspection signal and send it to the background end after receiving the secondary maintenance information; the background end is also used to generate a maintenance abandonment signal and send it to the maintenance end if the return inspection signal sent by the corresponding maintenance end is not received within a preset time after sending the secondary maintenance information; the background end is also used to send a rescheduling signal to the management end when generating the return inspection abandonment signal; the management end includes a receiving module for receiving the rescheduling signal.

[0017] Beneficial effect: After sending the secondary maintenance information, if the corresponding return signal is not received within the preset time, it means that the maintenance personnel did not notice the secondary maintenance information, and at this time, the maintenance personnel is already some distance away from the maintenance point, and returning to the maintenance point no longer has the distance advantage. Therefore, the backend sends a rescheduling signal to the management end, and the management personnel can arrange other maintenance personnel to go for maintenance. At the same time, in order to avoid the situation where the maintenance personnel later notices the secondary maintenance information and returns for maintenance, and there is a task conflict with the maintenance personnel re-arranged by the management personnel, the processing module also generates a maintenance abandonment signal and sends it to the maintenance end.

[0018] Furthermore, the processing module is also used to send an emergency processing signal to the management end when the verification result of the maintenance result of the secondary maintenance information is still not inaccurate; the receiving module is also used to receive the emergency processing signal.

[0019] Beneficial effect: If the problem still exists after the second overhaul, it means that the maintenance personnel may not have mastered the maintenance method of the abnormality. Therefore, the processing module sends an emergency processing signal to the management end to let the management understand the situation and replace the maintenance personnel in time to handle it.

[0020] Furthermore, the management end also includes a reminder module, which is used to issue a reminder after the management end receives the emergency processing signal.

[0021] Intentional effect: After receiving the emergency processing signal, the management side needs to dispatch other maintenance personnel to the maintenance point for maintenance as soon as possible. Through the reminder of the reminder module, the management personnel can understand the situation.

[0022] Furthermore, the management end is a smart phone loaded with a corresponding APP; the reminder module is used to retrieve the location of the management end after the management end receives the emergency processing letter. If the current location is a preset office area, the reminder module reminds by voice; if the current location is not an office area, the reminder module turns on the microphone and analyzes the reminder method in combination with the current time; if the location is a pre-stored home address, the current time is a pre-stored sleeping time and the collected volume is less than the preset volume, the reminder unit reminds by vibration; if the location is moving, the current time is night and the collected volume is not less than the preset volume, the reminder is given by voice, vibration and flash.

[0023] Beneficial effects: If the manager is in the office area, it means that the manager is working normally, and the conventional voice can be used to remind him. If the ringtone is used, even if the manager is not at the position, other colleagues will notice the situation and remind the manager in time. If the current location is no longer in the office, it is necessary to analyze it in combination with the specific scene. Specifically, if the location is a pre-stored home address, the current time is a pre-stored sleep time, and the collected volume is less than the preset volume, it means that the manager is sleeping. If the ringtone is used, it will not only wake up the manager, but also the manager's family (such as wife / husband / children), and being woken up by a loud volume during sleep will make it difficult for his family to fall asleep later. Reminders are made by vibration, because a certain volume will be generated during vibration, and people in the room will also wake up, and because the sound is relatively mild, it will not prevent the manager's family from continuing to fall asleep. If the mobile phone is placed on the bed, the vibration will also wake up the manager. If the location is moving, the current time is night and the collected volume is not less than the preset volume, it means that the manager is currently walking outside and is in a noisy environment. Therefore, the reminder module reminds through voice, vibration and flash to ensure that the manager can understand the relevant information in time.

[0024] In this way, it is possible to choose an appropriate reminder method based on the specific environment in which the manager is located, ensuring that the manager is reminded while taking his personal life into account.

[0025] Furthermore, the storage module stores an electronic map of the pipe gallery; the processing module is also used to perform corresponding color marking on the corresponding area of ​​the electronic map according to the type and location of the abnormality when the analysis result shows that there is an abnormality.

[0026] Beneficial effects: Compared with text statistics, the image display method is more intuitive. Through the color markings on the electronic map, managers can intuitively understand the overall situation of the current pipeline corridor.

[0027] Furthermore, the processing module is also used to update the color mark of the marked area according to the latest analysis result.

[0028] Beneficial effect: Ensure that management personnel can intuitively understand the latest situation of the pipeline corridor.

[0029] Furthermore, the input module is also used to input a dynamic display signal and send it to the processing module, the dynamic display signal including the display time; the processing module is also used to, after receiving the dynamic display signal, generate a color-marked changing image in chronological order based on abnormal information within the display time and in combination with an electronic map; the display module is also used to display the color-marked changing image.

[0030] Beneficial effects: When managers want to comprehensively understand the overall situation of the tunnel in the near future, they can input dynamic display signals including display time through the input module; the processing module will generate color-coded change images in chronological order based on the abnormal information within the display time and in combination with the electronic map. Through the color-coded change images, managers can quickly and intuitively understand the abnormal development of each area of ​​the tunnel, so as to understand whether the current response method needs to be adjusted.

[0031] Furthermore, the backend also includes a selection module for selecting an area for annotation on the electronic map; the input module is also used to input annotation information on the selected area.

[0032] Beneficial effect: When the abnormal development of a certain area requires special attention, the manager can select the area through the selection module and enter the remark information. In the subsequent management, the manager can analyze the situation of each area based on the remark information. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a logic block diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following is a further detailed description through specific implementation methods:

[0035] Embodiment 1

[0036] like Figure 1 As shown, an analysis system for tunnel corridor management includes a collection end, a background end, a maintenance end and a management end.

[0037] The acquisition end includes an acquisition module for collecting monitoring data. In this embodiment, the acquisition module includes a temperature sensor, a humidity sensor, a gas concentration sensor, an infrared detector, a stress strain sensor, and a smoke sensor. The position and quantity of each sensor can be set by technicians in this field according to the internal space of the tunnel. The backend includes a server and an industrial PC that communicate with each other; the management end and the maintenance end are smartphones loaded with corresponding APPs.

[0038] The backend includes a storage module, a processing module and an input module. The processing module is used to analyze whether there is an abnormality based on the monitoring data, and is also used to generate maintenance information and send it to the maintenance end when the analysis result shows that there is an abnormality; the maintenance end includes a transceiver module and an upload module; the transceiver module is used to receive maintenance information; the upload module is used to upload maintenance results; the storage module is used to store abnormal information and maintenance results.

[0039] The processing module is also used to verify the maintenance results according to the monitoring data, and when the verification result shows that the maintenance result is inaccurate, the maintenance end that sent the maintenance result is marked for re-inspection, and secondary maintenance information is generated and sent to the maintenance end. The transceiver module is also used to input a re-inspection signal after receiving the secondary maintenance information and send it to the back-end; the back-end is also used to generate a maintenance abandonment signal and send it to the maintenance end if the re-inspection signal sent by the corresponding maintenance end is not received within a preset time after sending the secondary maintenance information; the back-end is also used to send a re-arrangement signal to the management end when the re-inspection abandonment signal is generated. The processing module is also used to send an emergency processing signal to the management end when the verification result of the maintenance result of the secondary maintenance information is still not inaccurate; the management end includes a receiving module for receiving the emergency processing signal.

[0040] The input module is used to input statistical analysis signals, which include statistical time. The processing module is used to perform statistical analysis on abnormal data within the statistical time after receiving the statistical analysis signal, and generate an abnormal analysis report. The abnormal analysis report includes the classification of abnormalities, the number of abnormalities under each classification, the location and processing status of each abnormality, and also includes subsequent processing suggestions.

[0041] The specific implementation process is as follows:

[0042] When using this system, the processing module will generate maintenance information after analyzing the problem and send it to the maintenance end. After the maintenance, the maintenance personnel can upload the maintenance results through the upload module.

[0043] After the maintenance personnel upload the maintenance results, the processing module will verify the maintenance results. If the verification result shows that the maintenance results are inaccurate, it means that there is a problem with the maintenance personnel's maintenance and it needs to be processed again. Therefore, the processing module marks the maintenance end of the maintenance personnel for return inspection to facilitate the management personnel to understand the situation; at the same time, the processing module generates secondary maintenance information and sends it to the maintenance end. Since the maintenance personnel are usually near the maintenance point when uploading the maintenance results, this method allows the maintenance personnel to quickly conduct secondary maintenance on the inaccurate maintenance areas to prevent the abnormality from persisting or even becoming more serious due to improper maintenance.

[0044] After sending the secondary maintenance information, if the corresponding return signal is not received within the preset time, it means that the maintenance personnel did not notice the secondary maintenance information, and at this time, the maintenance personnel is already some distance away from the maintenance point, and returning to the maintenance point no longer has the distance advantage. Therefore, the backend sends a rescheduling signal to the management end, and the management personnel can arrange other maintenance personnel to go for maintenance. At the same time, in order to avoid the situation where the maintenance personnel later notices the secondary maintenance information and returns for maintenance, and there is a task conflict with the maintenance personnel rearranged by the management personnel, the processing module also generates a maintenance abandonment signal and sends it to the maintenance end. On the other hand, if there is still a problem after the secondary maintenance, it means that the maintenance personnel may not have mastered the abnormal maintenance method. Therefore, the processing module sends an emergency processing signal to the management end to let the management personnel understand the situation and replace the maintenance personnel in time to deal with it.

[0045] In addition, when using this system, when it is necessary to understand the recent abnormal conditions of the tunnel, the management personnel can input the statistical analysis signal through the input module. The processing module will perform statistical analysis on the abnormal data according to the statistical time in the statistical analysis signal, and generate an abnormal analysis including; through the classification in the abnormal analysis report, the number of abnormalities under each classification, the location and processing of each abnormality, the management personnel can fully understand the recent abnormal conditions of the tunnel, and through the follow-up processing suggestions in the abnormal analysis report, the management personnel can carry out targeted follow-up processing.

[0046] Compared with the existing method in which technical managers search, analyze, and compile statistics of abnormal records and maintenance records by themselves, by using this system, managers can not only easily understand the recent abnormal conditions of the pipeline corridor, but also easily obtain subsequent processing suggestions.

[0047] Embodiment 2

[0048] Different from the first embodiment, in this embodiment, the storage module stores an electronic map of the pipe gallery; the processing module is also used to, when the analysis result shows that an abnormality exists, mark the corresponding area of ​​the electronic map with a corresponding color according to the type and location of the abnormality. The processing module is also used to update the color mark of the marked area according to the latest analysis result.

[0049] The input module is also used to input a dynamic display signal and send it to the processing module, and the dynamic display signal includes a display time; the processing module is also used to generate a color mark change image in chronological order according to the abnormal information within the display time and in combination with the electronic map after receiving the dynamic display signal; the display module is also used to display the color mark change image. The backend also includes a selection module for selecting an area for annotation on the electronic map; the input module is also used to input annotation information on the selected area.

[0050] Using this system, managers can understand the current situation of the corridor through images. Compared with text statistics, the image display method is more intuitive. Through the color marking on the electronic map, managers can intuitively understand the overall situation of the current corridor. In addition, when managers want to comprehensively understand the overall situation of the corridor in the near future, they can input dynamic display signals including display time through the input module; the processing module will generate color-marked change images in chronological order based on the abnormal information within the display time and the electronic map. Through the color-marked change images, managers can quickly and intuitively understand the abnormal development of each area of ​​the corridor, so as to understand whether the current response method needs to be adjusted. When the abnormal development of a certain area requires special attention, managers can select the area through the selection module and enter the remarks information. In subsequent management, managers can analyze the situation of each area in combination with the remarks information.

[0051] Embodiment 3

[0052] Different from the first embodiment, in this embodiment, the management end also includes a reminder module, which is used to issue a reminder after the management end receives the emergency processing signal. Specifically, the wake-up module is used to retrieve the location of the management end after the management end receives the emergency processing signal. If the current location is the preset office area, the reminder module will remind you by voice; if the current location is not the office area, the reminder module will turn on the microphone and analyze the reminder method in combination with the current time; if the location is a pre-stored home address, the current time is a pre-stored sleep time, and the collected volume is less than the preset volume, the reminder unit will remind you by vibration; if the location is moving, the current time is at night, and the collected volume is not less than the preset volume, the reminder will be given by voice, vibration and flash.

[0053] After receiving the emergency processing signal, the management end needs to dispatch other maintenance personnel to the maintenance point for maintenance as soon as possible. The reminder module can let the management personnel know the situation. However, when reminding the management personnel, the reminder strategy to be adopted is different due to the different environment they are in.

[0054] If the manager is in the office area, it means that the manager is working normally, and the regular voice can be used to remind him. If the ringtone is used, even if the manager is not at the position, other colleagues will notice the situation and remind the manager in time. If the current location is no longer in the office, it needs to be analyzed in combination with the specific scene. Specifically, if the location is the pre-stored home address, the current time is the pre-stored sleep time, and the collected volume is less than the preset volume, it means that the manager is sleeping. If the ringtone is used, it will not only wake up the manager, but also the manager's family (such as wife / husband / children), and being woken up by a loud volume during sleep will make it difficult for the family to fall asleep later. Reminding by vibration, because a certain volume will be generated during vibration, people in the room will also wake up, and because the sound is relatively mild, it will not prevent the manager's family from continuing to sleep. If the mobile phone is placed on the bed, the vibration will also wake up the manager. If the location is moving, the current time is night and the collected volume is not less than the preset volume, it means that the manager is currently walking outside and is in a noisy environment. Therefore, the reminder module reminds through voice, vibration and flash to ensure that the manager can understand the relevant information in time.

[0055] In this way, we can choose a suitable reminder method based on the specific environment in which the manager is located, ensuring that the manager is reminded while taking his personal life into account.

[0056] Embodiment 4

[0057] Different from the first embodiment, the maintenance end in this embodiment further includes a learning module and a state processing module.

[0058] The processing module is also used to generate information to be improved when sending a maintenance abandonment signal to the maintenance end, and the information to be improved includes the maintenance personnel information, maintenance information and verification results corresponding to the maintenance end; the storage module also stores a maintenance knowledge base, and the maintenance knowledge base stores various abnormal maintenance knowledge; the processing module is also used to match the corresponding maintenance knowledge from the maintenance knowledge base to generate information to be learned and send it to the corresponding maintenance end when generating information to be improved; the information to be learned includes learning content;

[0059] The learning module is used to input a learning request signal after receiving the information to be learned and send it to the state processing module; the state processing module is used to collect the surrounding sound for X seconds after receiving the learning request signal, and send a start signal to the learning module if the collected volume is not greater than the preset volume; the learning module is also used to play the learning content after receiving the start signal. In this embodiment, the value of X is 5.5, which is enough time to accurately collect the surrounding sound, and at the same time, it will not make the maintenance personnel waiting for learning wait too long.

[0060] The state processing module is also used to collect acceleration data and positioning data of the maintenance end when the learning module plays the learning content. If the time proportion of the acceleration data is greater than the preset value and the positioning data has not changed, the state processing module sends a concentration signal to the learning module; the learning module is used to remind the user to concentrate after receiving the concentration signal; if the time proportion of the acceleration data is greater than the preset value and the positioning data has changed, the state processing module performs a travel analysis based on the positioning data, and if the result of the travel analysis is walking, the state processing module sends a pause signal to the learning module; the learning module is used to exit the content playback and issue a safety reminder after receiving the pause signal; the learning module is also used to pause the learning content at a preset frequency when playing the learning content and display the operation contacts and click prompts on the screen, where the operation contacts are contacts that disappear when clicked; if the operation contacts disappear within the preset click time, the learning module resumes playing the learning content, and if the operation contacts do not disappear within the preset click time, the learning module exits playback.

[0061] The specific implementation process is as follows:

[0062] If the maintenance personnel handle the same abnormality improperly twice in a row, it means that the maintenance personnel lacks the ability to handle the abnormality. Therefore, the processing module generates information to be improved, matches the corresponding maintenance knowledge from the maintenance knowledge base, generates information to be learned, and sends it to the maintenance end of the maintenance personnel.

[0063] After receiving the information to be learned, the maintenance personnel can arrange their own learning plan. When the maintenance personnel want to learn, they can input the learning request signal through the learning module and send it to the state processing module. The state processing module will call the smartphone's microphone to collect the surrounding sound for X seconds. If the collected volume is not greater than the preset volume, it means that the current environment is more suitable for learning and the surrounding sound will not interfere with the maintenance personnel. Therefore, the state processing module sends a start signal to the learning module.

[0064] After receiving the start signal, the learning module plays the learning content. At the same time, the state processing module collects the acceleration data and positioning data of the maintenance end for analysis. If the time proportion of the acceleration data is greater than the preset value and the positioning data has not changed, it means that the maintenance personnel stay in place to learn, but the mobile phone or body moves very frequently during learning, which is not conducive to their learning. Therefore, the state processing module sends a concentration signal to the learning module, and the learning module reminds the maintenance personnel to concentrate, so that the maintenance personnel can adjust their learning status and ensure the quality of learning.

[0065] If the time proportion of acceleration data is greater than the preset value and the positioning data changes, it means that the maintenance personnel are currently moving. In other words, the maintenance personnel are walking or taking public transportation. If you are learning while taking public transportation, the learning effect is better guaranteed because the environment is relatively quiet; but if you are walking, since learning requires concentration, if you don't look at the road carefully while walking, accidents may occur. Therefore, the state processing module performs a trip analysis based on the positioning data. If the trip analysis is walking, the state processing module sends a pause signal to the learning module. After receiving the pause signal, the learning module exits the content playback and issues a safety reminder to prevent accidents caused by maintenance personnel learning while walking.

[0066] In addition, in order to avoid some maintenance personnel from taking shortcuts, for example, when studying at home, after inputting the learning request signal, the maintenance end is placed at one end, and the maintenance end plays the learning content without learning. In this solution, the learning module will also pause the learning content at a preset frequency when playing the learning content and display the operation contact and click prompt on the screen. The operation contact is the contact that disappears when clicking; if the operation contact disappears within the preset click time, it means that the maintenance personnel is concentrating on learning, so the learning module resumes playing the learning content. If the operation contact does not disappear within the preset click time, it means that the maintenance personnel has taken shortcuts, so the learning module exits the playback.

[0067] In this way, not only can the maintenance personnel be ensured to be in an ideal learning environment, but the learning situation of the learners can also be supervised to ensure the learning quality of the maintenance personnel.

[0068] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can know all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. Tunnel and pipe gallery management analysis system, characterized by: Including collection end, back-end end and maintenance end; The acquisition end includes an acquisition module for collecting monitoring data; the backend includes a storage module, a processing module and an input module; the processing module is used to analyze whether there is an abnormality based on the monitoring data, and is also used to generate maintenance information when the analysis result shows that there is an abnormality and send it to the maintenance end; the maintenance end includes a transceiver module and an upload module; The transceiver module is used to receive maintenance information; The upload module is used to upload the maintenance results; The storage module is used to store abnormal information and maintenance results; The input module is used to input the statistical analysis signal, which includes the statistical time; the processing module is used to perform statistical analysis on the abnormal data within the statistical time after receiving the statistical analysis signal, and generate an abnormal analysis report; the abnormal analysis report includes the classification of abnormalities, the number of abnormalities under each classification, the location and processing of each abnormality, and also includes subsequent processing suggestions; The processing module is also used to verify the maintenance result according to the monitoring data, and when the verification result shows that the maintenance result is inaccurate, mark the maintenance end that sent the maintenance result for re-inspection, and generate secondary maintenance information and send it to the maintenance end; It also includes a management end; the transceiver module is also used to input a return inspection signal after receiving the secondary maintenance information and send it to the back-end; the back-end is also used to generate a maintenance abandonment signal and send it to the maintenance end if the return inspection signal sent by the corresponding maintenance end is not received within a preset time after sending the secondary maintenance information; the back-end is also used to send a rescheduling signal to the management end when the return inspection abandonment signal is generated; the management end includes a receiving module for receiving the rescheduling signal; The processing module is also used to send an emergency processing signal to the management end when the verification result of the secondary maintenance information is still not inaccurate; the receiving module is also used to receive the emergency processing signal; The management end also includes a reminder module, which is used to issue a reminder after the management end receives the emergency processing signal; The management end is a smart phone loaded with the corresponding APP; The reminder module is used to retrieve the location of the management end after the management end receives the emergency processing letter. If the current location is the preset office area, the reminder module will remind you by voice; If the current location is not the office area, the reminder module turns on the microphone and analyzes the reminder method in combination with the current time; if the location is the pre-stored home address, the current time is the pre-stored sleeping time and the collected volume is less than the preset volume, the reminder unit reminds by vibration; If the location is moving, the current time is night, and the collected volume is not less than the preset volume, a reminder will be given through voice, vibration, and flashing light; The maintenance end also includes a learning module and a state processing module. The processing module is also used to generate information to be improved when sending a maintenance abandonment signal to the maintenance end. The information to be improved includes maintenance personnel information, maintenance information and verification results corresponding to the maintenance end; the storage module also stores a maintenance knowledge base, and the maintenance knowledge base stores maintenance knowledge of various abnormalities; the processing module is also used to match the corresponding maintenance knowledge from the maintenance knowledge base to generate information to be learned and send it to the corresponding maintenance end when generating information to be improved; the information to be learned includes learning content; The learning module is used to input a learning request signal after receiving the information to be learned and send it to the state processing module; the state processing module is used to collect the surrounding sound for X seconds after receiving the learning request signal, and send a start signal to the learning module if the collected volume is not greater than the preset volume; the learning module is also used to play the learning content after receiving the start signal; The state processing module is also used to collect acceleration data and positioning data of the maintenance end when the learning module plays the learning content. If the time proportion of the acceleration data is greater than the preset value and the positioning data has not changed, the state processing module sends a concentration signal to the learning module; The learning module is used to remind the user to focus attention after receiving the attention-focusing signal; If the time proportion of acceleration data is greater than the preset value and the positioning data changes, the state processing module performs a travel analysis based on the positioning data. If the result of the travel analysis is walking, the state processing module sends a pause signal to the learning module; the learning module is used to exit the content playback and issue a safety reminder after receiving the pause signal; The learning module is also used to pause the learning content at a preset frequency and display the operation contacts and click prompts on the screen when playing the learning content. The operation contacts are contacts that disappear when clicked. If the operation contacts disappear within the preset click time, the learning module resumes playing the learning content. If the operation contacts do not disappear within the preset click time, the learning module exits playing.

2. The analysis system for tunnel gallery management according to claim 1 is characterized in that: The storage module stores an electronic map of the pipeline corridor; the processing module is also used to perform corresponding color marking on the corresponding area of ​​the electronic map according to the type and location of the abnormality when the analysis result shows that there is an abnormality.

3. The analysis system for tunnel gallery management according to claim 2 is characterized in that: The processing module is also used to update the color mark of the marked area according to the latest analysis result.

4. The analysis system for tunnel gallery management according to claim 3 is characterized in that: The input module is also used to input a dynamic display signal and send it to the processing module, the dynamic display signal includes a display time; the processing module is also used to, after receiving the dynamic display signal, generate a color-marked changing image in chronological order based on abnormal information within the display time and in combination with an electronic map; the display module is also used to display the color-marked changing image.

5. The analysis system for tunnel gallery management according to claim 4 is characterized in that: The backend also includes a selection module for selecting an area to be annotated on the electronic map; the input module is also used to input the annotation information on the selected area.

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