CN112734394A - Project supervision information management method based on Internet of things - Google Patents
Project supervision information management method based on Internet of things Download PDFInfo
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- CN112734394A CN112734394A CN202110064107.2A CN202110064107A CN112734394A CN 112734394 A CN112734394 A CN 112734394A CN 202110064107 A CN202110064107 A CN 202110064107A CN 112734394 A CN112734394 A CN 112734394A
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Abstract
The invention belongs to the technical field of project supervision, and particularly relates to a project supervision information management method based on the Internet of things, which comprises an acquisition module, a judgment module, an early warning module and a storage module; the storage module stores acceptance criteria in the engineering construction process; the invention can effectively identify the engineering stage, manage the engineering progress and quality and ensure the good safety and credibility of the supervision data.
Description
Technical Field
The invention belongs to the technical field of project supervision, and particularly relates to a project supervision information management method based on the Internet of things.
Background
Project supervision refers to the entrust of a supervision unit with related qualification by a party A, and represents a specialized service activity for monitoring the project construction of a party B by the party A according to project construction documents approved by the country, laws and regulations related to the project construction, project construction supervision contracts and other project construction contracts. Project supervision is a paid project consultation service; is entrusted by the first party; the supervision is mainly based on laws, regulations, technical standards, related contracts and documents; the supervision criterion is law keeping, integrity, justice and science; the supervision aims to ensure the quality and safety of engineering construction, improve the engineering construction level and fully exert investment benefits. At present, most of management of construction project supervision information is to manually fill in various forms and manually transmit and manage the information. By adopting the management mode, standardized management cannot be achieved, information integration and full sharing cannot be achieved, management efficiency is low, cost is high, safety performance is poor, supervision information filling is delayed, or supervision personnel can write by means of memory, meanwhile, in the supervision process, manual operation links are too many, supervision personnel tamper related data easily, data which are not in compliance are changed into compliance data, and potential safety hazards are generated.
Disclosure of Invention
In order to make up for the defects of the prior art and solve the problems that the identification of the engineering stage is not clear, the manual operation steps of the supervision data recording link are more, and the data security and the reliability are doubtful in the existing supervision working process, the invention provides an engineering supervision information management method based on the Internet of things.
The technical scheme adopted by the invention for solving the technical problems is as follows: the invention relates to an engineering supervision information management method based on the Internet of things, which comprises an acquisition module, a judgment module, an early warning module and a storage module; the storage module stores acceptance criteria in the engineering construction process;
the management method comprises the following steps:
s1: collecting various supervision data in the engineering construction process through a collection module, and sending the supervision data to a judgment module;
s2: on the basis of the step of S1, the judging module analyzes the received supervision data to obtain a deviation value between the supervision data and an acceptance standard, and sends the deviation value to the early warning module;
s3: on the basis of the step S2, the judging module establishes a project progress model according to the received supervision data, and judges the project progress stage and optimizes and improves the project construction speed through the model;
s4: on the basis of the step of S3, the early warning module judges the received deviation value: the deviation value is in a normal fluctuation range, and the early warning module does not act; when the deviation value exceeds the normal fluctuation range, the early warning module marks the supervision data corresponding to the deviation value and sends an alarm;
s5: storing the collected supervision data, deviation value and alarm information into a storage module according to a time sequence;
the acquisition module comprises a fixed acquisition unit and a manual acquisition unit; the fixed acquisition units are monitoring devices arranged at all positions of an engineering construction site, and monitoring data are transmitted to the judgment module among the monitoring devices through the Internet of things; the monitoring device is carried by the engineering supervision personnel of the manual acquisition unit when the engineering supervision personnel supervise the engineering construction site;
the judging module comprises a data analysis unit; the judging module receives the supervision data collected by the fixed collecting unit and the manual collecting unit and then sends the received supervision data to the data analyzing unit; the data analysis unit compares the supervision data with the acceptance standard of engineering construction to obtain the deviation value between each supervision data and the acceptance standard; after the data analysis unit obtains a deviation value, the deviation value is sent to an early warning module; the early warning module judges the deviation value, and when the deviation value exceeds a normal fluctuation range specified in an acceptance standard, the early warning module carries out early warning marking on the supervision data corresponding to the deviation value and sends out an alarm to remind a manager to check and acquire corrective measures;
when the system works, in the process of managing the project supervision information, relatively fixed data with small variation amplitude in the project construction process are collected through the fixed collection unit in the collection module, the workload of supervision personnel in the process of carrying out supervision data collection on a project construction site in person is reduced, the working strength of the supervision personnel is reduced, meanwhile, data which change relatively rapidly and have large variation amplitude in the project construction site are collected through the manual collection unit, so that the complete supervision data collection in the project construction process is completed, the complete management of the project supervision information is ensured, meanwhile, the problem of falsification data or data missing in the process of manually collecting and recording the traditional supervision data is avoided through the networking transmission of the supervision data through the Internet of things, and the perfection degree and the rigidness of the supervision information management in the project construction process are improved, simultaneously, further gather and inspect the managerial data on the spot through the mode that adopts the managerial personnel to hand-carry artifical collection unit, when avoiding single adoption fixed collection unit, constructor destruction or the problem that the fixed collection unit was damaged to the work progress that probably exists guarantees the managerial data exactness and the integrality of gathering, promotes the reliability to the information management of managing of the managerial.
Preferably, the manual acquisition unit is a camera with the transmission function of the internet of things; the project supervision personnel carry the project construction site and use a camera to shoot when carrying out supervision on the project construction site; the video shot by the manual acquisition unit is sent to the judgment module in real time through the Internet of things; the judgment module comprises a video analysis unit, and the video analysis unit adopts AI technology to compare and comprehensively analyze the video and extract key information in the video; after the judgment module receives the video sent by the manual acquisition unit, the video is transmitted to the video analysis unit; the video analysis unit analyzes the video sent by the manual acquisition unit to obtain first supervision data obtained by supervision personnel in field detection of a field of engineering construction; the video analysis unit sends the first proctoring data to the data analysis unit; the supervision data of the engineering construction site collected by the fixed collection unit is second supervision data; the first supervision data and the second supervision data are combined to obtain total supervision data in engineering construction; the data analysis unit compares the overall supervision data obtained by combining the first supervision data and the second supervision data with the acceptance standard of engineering construction to obtain a deviation value between each item of overall supervision data and the acceptance standard; after the data analysis unit obtains a deviation value, the deviation value is sent to an early warning module; the early warning module judges the deviation value, and when the deviation value exceeds a normal fluctuation range specified in an acceptance standard, the early warning module carries out early warning marking on the single overall supervision data corresponding to the deviation value and sends out an alarm to remind a manager to check and collect corrective measures;
the during operation, carry out the analysis through the video that uses the video analysis unit to shoot the artifical acquisition unit, automatic analysis obtains first supervision data in the video, can effectually avoid the supervision data that artifical acquisition unit gathered to receive supervision personnel's misleading or falsifying, the credibility that leads to the supervision data that artifical acquisition unit gathered is not good, influence going on to engineering supervision information management, and simultaneously, carry out the analysis and the automatic extraction supervision number that contains in the video through using the video analysis unit to the video of shooting, accelerate the data collection of supervision data, avoid follow-up supervision personnel to spend time and adopt the manpower to type in supervision data, avoid the waste of manpower and materials.
Preferably, the judging module comprises a progress analyzing unit; after the data analysis unit receives the overall supervision data, the overall supervision data are synchronously sent to the progress analysis unit; the progress analysis unit establishes an engineering progress model according to the received overall supervision data and the engineering overall planning data, and calculates engineering prediction progress state data through the engineering progress model; after receiving the latest overall supervision data, the progress analysis unit substitutes the overall supervision data into the project progress model and calculates to obtain actual project progress state data; the progress analysis unit compares and analyzes the actual progress state data of the project and the predicted progress state data of the project to obtain difference points between the actual progress state data of the project and the predicted progress state data of the project; the progress analysis unit comprehensively compares and analyzes the difference points and the overall supervision data to obtain factors influencing the engineering progress and sends the influencing factors to the early warning module; after receiving the influence factors, the early warning module sends out a prompt to remind a manager to check and eliminate the influence factors, so that the engineering progress speed is increased;
during operation, through the analysis and the calculation of progress analysis unit to the engineering progress model, obtain the engineering prediction progress state data of work piece construction in-process to through the total supervision data that the collection obtained obtain the actual state speed of progress of engineering, through to difference and the influence factor between obtaining the forecasting result and the actual result, later, send the influence factor to the early warning module, remind managers through the early warning module, eliminate the influence of influence factor to the engineering progress, promote the engineering speed of progress.
Preferably, the overall supervision data acquired by the acquisition module is sent to the judgment module and simultaneously synchronously sent to the storage unit for storage; various data obtained by calculation of the judging module are stored in a storage unit for subsequent inquiry and inspection; after the stored overall supervision data in the storage module and various data obtained by the judgment module are stored in the storage module, the data are in a read-only mode; when the stored data in the storage module needs to be changed into a read-write mode for modification, three or more managers need to confirm the data simultaneously; the data in the storage module is changed from a read-only mode to a read-write mode and only maintains for 5min, and the data is automatically changed back to the read-only mode after the time is exceeded; the operation of converting the data from the read-only mode to the read-write mode in the storage module is recorded and stored in real time and is not allowed to be modified;
when the monitoring system works, the integrity and the reliability of the collected overall supervision data are further guaranteed through the limitation on the storage module, the condition that supervision information is not credible due to the fact that the supervision information is modified illegally by part of supervisors in the supervision information management process is avoided, meanwhile, through the requirement on modification of the supervision information stored in the storage module, when the supervision information stored in the storage module is spurious, the faulty supervision data can be corrected after common confirmation of a plurality of supervisors, and the condition that judgment is faulty due to the faulty supervision data is avoided.
Preferably, the manual acquisition unit comprises a positioning assembly; when the manual acquisition unit is carried by a supervisor to move, the positioning assembly records the moving path of the manual acquisition unit and uploads the moving path to the data analysis unit in the judgment module; before the supervision personnel go to the engineering construction site for supervision, the data analysis unit plans to obtain a preset action path according to the engineering construction site data stored in the storage module; after the data analysis unit obtains the preset action path, the preset action path data is sent to a supervisor to request the supervisor to move according to the preset action path; the positioning component records the obtained cloud moving path of the proctoring personnel as an actual action path; after receiving the actual action path, the data analysis unit compares and analyzes the actual action path and the preset action path to obtain an error value between the actual action path and the preset action path; the error value is in a normal fluctuation range, and the data analysis unit does not act; the error value is in a normal fluctuation range, the data analysis unit judges that the data acquired by the manual acquisition unit is doubtful and is not adopted, and the data analysis unit sends a re-acquisition instruction to a supervisor; after receiving the re-acquisition instruction, the proctoring personnel finishes acquiring proctoring data again according to the preset action path;
when the monitoring system works, the action path of the supervision personnel on the engineering construction site is planned before the supervision personnel goes to the engineering construction site for on-site monitoring, so that the situation that the supervision personnel cannot accidentally or intentionally omit part of regions and fail to collect supervision data of the missed regions when carrying out on-site monitoring on the engineering construction site can be ensured, the collected overall supervision data is incomplete, and the correctness of supervision results is influenced, meanwhile, by planning the action path of the supervisor, the supervisor can be effectively prevented from repeatedly acquiring the supervision data of the set area, therefore, the supervision data collection of the non-compliant area on the overground part of the engineering construction site is skipped, the reliability of the collected supervision data is reduced, and potential safety hazards are generated in the construction process and after the construction is finished, and finally safety accidents are caused, so that the effectiveness of project supervision work in the construction process is reduced or is invalid.
Preferably, the fixed acquisition unit comprises a fixed camera installed on the engineering construction site; the fixed acquisition unit transmits a video picture shot by the fixed camera to the video analysis unit through the Internet of things; the video analysis unit analyzes the video shot by the fixed camera and analyzes various operations of workers on the engineering construction site in the construction process; the video analysis unit captures and marks illegal and dangerous operations existing in the construction process of workers from a video and then sends the video to the early warning module; after receiving the screenshot and the mark, the early warning module stores the screenshot and the mark in a storage module and gives an alarm to remind a manager to check and take a treatment measure; the video analysis unit analyzes the shot video and finds out the influence factors on the engineering construction progress in the operation of constructors, so that correction is carried out and the construction speed is improved;
during operation, through the video analysis of the video that the video analysis unit was shot to fixed acquisition unit, can effectually discern the violation operation that the workman goes on in the work progress to carry out the record, thereby make things convenient for managers to teach the constructor, so that correct constructor's violation action, compliance, security in the assurance work progress, and guarantee the quality safety of construction back engineering, avoid constructor violation operation, produce the potential safety hazard, finally cause the incident.
The invention has the following beneficial effects:
1. according to the project supervision information management method based on the Internet of things, the fixed acquisition unit and the manual acquisition unit are arranged, and the supervision data are automatically transmitted through the Internet of things, so that the supervision data are timely, accurate and high in reliability, the possibility that supervision personnel write the supervision data or tamper the supervision data by memorizing 'rely on space' in the supervision process is avoided, and the safety and the reliability of the obtained supervision data are improved.
2. According to the project supervision information management method based on the Internet of things, the progress analysis unit and the video analysis unit are arranged, the project progress model is built, the project progress is calculated and determined relatively accurately through the model, and meanwhile, the video analysis unit is used for distinguishing and recording illegal operations of constructors, so that the managers can conveniently teach and correct the illegal actions of the constructors, potential safety hazards are avoided, and safety accidents are avoided.
Drawings
The invention will be further explained with reference to the drawings.
FIG. 1 is a system framework diagram of the present invention;
FIG. 2 is a flow chart of a method of the present invention;
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1 to 2, the project supervision information management method based on the internet of things includes an acquisition module, a judgment module, an early warning module, and a storage module; the storage module stores acceptance criteria in the engineering construction process;
the management method comprises the following steps:
s1: collecting various supervision data in the engineering construction process through a collection module, and sending the supervision data to a judgment module;
s2: on the basis of the step of S1, the judging module analyzes the received supervision data to obtain a deviation value between the supervision data and an acceptance standard, and sends the deviation value to the early warning module;
s3: on the basis of the step S2, the judging module establishes a project progress model according to the received supervision data, and judges the project progress stage and optimizes and improves the project construction speed through the model;
s4: on the basis of the step of S3, the early warning module judges the received deviation value: the deviation value is in a normal fluctuation range, and the early warning module does not act; when the deviation value exceeds the normal fluctuation range, the early warning module marks the supervision data corresponding to the deviation value and sends an alarm;
s5: storing the collected supervision data, deviation value and alarm information into a storage module according to a time sequence;
the acquisition module comprises a fixed acquisition unit and a manual acquisition unit; the fixed acquisition units are monitoring devices arranged at all positions of an engineering construction site, and monitoring data are transmitted to the judgment module among the monitoring devices through the Internet of things; the monitoring device is carried by the engineering supervision personnel of the manual acquisition unit when the engineering supervision personnel supervise the engineering construction site;
the judging module comprises a data analysis unit; the judging module receives the supervision data collected by the fixed collecting unit and the manual collecting unit and then sends the received supervision data to the data analyzing unit; the data analysis unit compares the supervision data with the acceptance standard of engineering construction to obtain the deviation value between each supervision data and the acceptance standard; after the data analysis unit obtains a deviation value, the deviation value is sent to an early warning module; the early warning module judges the deviation value, and when the deviation value exceeds a normal fluctuation range specified in an acceptance standard, the early warning module carries out early warning marking on the supervision data corresponding to the deviation value and sends out an alarm to remind a manager to check and acquire corrective measures;
when the system works, in the process of managing the project supervision information, relatively fixed data with small variation amplitude in the project construction process are collected through the fixed collection unit in the collection module, the workload of supervision personnel in the process of carrying out supervision data collection on a project construction site in person is reduced, the working strength of the supervision personnel is reduced, meanwhile, data which change relatively rapidly and have large variation amplitude in the project construction site are collected through the manual collection unit, so that the complete supervision data collection in the project construction process is completed, the complete management of the project supervision information is ensured, meanwhile, the problem of falsification data or data missing in the process of manually collecting and recording the traditional supervision data is avoided through the networking transmission of the supervision data through the Internet of things, and the perfection degree and the rigidness of the supervision information management in the project construction process are improved, simultaneously, further gather and inspect the managerial data on the spot through the mode that adopts the managerial personnel to hand-carry artifical collection unit, when avoiding single adoption fixed collection unit, constructor destruction or the problem that the fixed collection unit was damaged to the work progress that probably exists guarantees the managerial data exactness and the integrality of gathering, promotes the reliability to the information management of managing of the managerial.
As an embodiment of the invention, the manual acquisition unit is a camera with the transmission function of the internet of things; the project supervision personnel carry the project construction site and use a camera to shoot when carrying out supervision on the project construction site; the video shot by the manual acquisition unit is sent to the judgment module in real time through the Internet of things; the judgment module comprises a video analysis unit, and the video analysis unit adopts AI technology to compare and comprehensively analyze the video and extract key information in the video; after the judgment module receives the video sent by the manual acquisition unit, the video is transmitted to the video analysis unit; the video analysis unit analyzes the video sent by the manual acquisition unit to obtain first supervision data obtained by supervision personnel in field detection of a field of engineering construction; the video analysis unit sends the first proctoring data to the data analysis unit; the supervision data of the engineering construction site collected by the fixed collection unit is second supervision data; the first supervision data and the second supervision data are combined to obtain total supervision data in engineering construction; the data analysis unit compares the overall supervision data obtained by combining the first supervision data and the second supervision data with the acceptance standard of engineering construction to obtain a deviation value between each item of overall supervision data and the acceptance standard; after the data analysis unit obtains a deviation value, the deviation value is sent to an early warning module; the early warning module judges the deviation value, and when the deviation value exceeds a normal fluctuation range specified in an acceptance standard, the early warning module carries out early warning marking on the single overall supervision data corresponding to the deviation value and sends out an alarm to remind a manager to check and collect corrective measures;
the during operation, carry out the analysis through the video that uses the video analysis unit to shoot the artifical acquisition unit, automatic analysis obtains first supervision data in the video, can effectually avoid the supervision data that artifical acquisition unit gathered to receive supervision personnel's misleading or falsifying, the credibility that leads to the supervision data that artifical acquisition unit gathered is not good, influence going on to engineering supervision information management, and simultaneously, carry out the analysis and the automatic extraction supervision number that contains in the video through using the video analysis unit to the video of shooting, accelerate the data collection of supervision data, avoid follow-up supervision personnel to spend time and adopt the manpower to type in supervision data, avoid the waste of manpower and materials.
As an embodiment of the present invention, the determining module includes a progress analyzing unit; after the data analysis unit receives the overall supervision data, the overall supervision data are synchronously sent to the progress analysis unit; the progress analysis unit establishes an engineering progress model according to the received overall supervision data and the engineering overall planning data, and calculates engineering prediction progress state data through the engineering progress model; after receiving the latest overall supervision data, the progress analysis unit substitutes the overall supervision data into the project progress model and calculates to obtain actual project progress state data; the progress analysis unit compares and analyzes the actual progress state data of the project and the predicted progress state data of the project to obtain difference points between the actual progress state data of the project and the predicted progress state data of the project; the progress analysis unit comprehensively compares and analyzes the difference points and the overall supervision data to obtain factors influencing the engineering progress and sends the influencing factors to the early warning module; after receiving the influence factors, the early warning module sends out a prompt to remind a manager to check and eliminate the influence factors, so that the engineering progress speed is increased;
during operation, through the analysis and the calculation of progress analysis unit to the engineering progress model, obtain the engineering prediction progress state data of work piece construction in-process to through the total supervision data that the collection obtained obtain the actual state speed of progress of engineering, through to difference and the influence factor between obtaining the forecasting result and the actual result, later, send the influence factor to the early warning module, remind managers through the early warning module, eliminate the influence of influence factor to the engineering progress, promote the engineering speed of progress.
As an embodiment of the invention, the overall supervision data acquired by the acquisition module is synchronously sent to the storage unit for storage while being sent to the judgment module; various data obtained by calculation of the judging module are stored in a storage unit for subsequent inquiry and inspection; after the stored overall supervision data in the storage module and various data obtained by the judgment module are stored in the storage module, the data are in a read-only mode; when the stored data in the storage module needs to be changed into a read-write mode for modification, three or more managers need to confirm the data simultaneously; the data in the storage module is changed from a read-only mode to a read-write mode and only maintains for 5min, and the data is automatically changed back to the read-only mode after the time is exceeded; the operation of converting the data from the read-only mode to the read-write mode in the storage module is recorded and stored in real time and is not allowed to be modified;
when the monitoring system works, the integrity and the reliability of the collected overall supervision data are further guaranteed through the limitation on the storage module, the condition that supervision information is not credible due to the fact that the supervision information is modified illegally by part of supervisors in the supervision information management process is avoided, meanwhile, through the requirement on modification of the supervision information stored in the storage module, when the supervision information stored in the storage module is spurious, the faulty supervision data can be corrected after common confirmation of a plurality of supervisors, and the condition that judgment is faulty due to the faulty supervision data is avoided.
As an embodiment of the present invention, the manual collecting unit includes a positioning assembly; when the manual acquisition unit is carried by a supervisor to move, the positioning assembly records the moving path of the manual acquisition unit and uploads the moving path to the data analysis unit in the judgment module; before the supervision personnel go to the engineering construction site for supervision, the data analysis unit plans to obtain a preset action path according to the engineering construction site data stored in the storage module; after the data analysis unit obtains the preset action path, the preset action path data is sent to a supervisor to request the supervisor to move according to the preset action path; the positioning component records the obtained cloud moving path of the proctoring personnel as an actual action path; after receiving the actual action path, the data analysis unit compares and analyzes the actual action path and the preset action path to obtain an error value between the actual action path and the preset action path; the error value is in a normal fluctuation range, and the data analysis unit does not act; the error value is in a normal fluctuation range, the data analysis unit judges that the data acquired by the manual acquisition unit is doubtful and is not adopted, and the data analysis unit sends a re-acquisition instruction to a supervisor; after receiving the re-acquisition instruction, the proctoring personnel finishes acquiring proctoring data again according to the preset action path;
when the monitoring system works, the action path of the supervision personnel on the engineering construction site is planned before the supervision personnel goes to the engineering construction site for on-site monitoring, so that the situation that the supervision personnel cannot accidentally or intentionally omit part of regions and fail to collect supervision data of the missed regions when carrying out on-site monitoring on the engineering construction site can be ensured, the collected overall supervision data is incomplete, and the correctness of supervision results is influenced, meanwhile, by planning the action path of the supervisor, the supervisor can be effectively prevented from repeatedly acquiring the supervision data of the set area, therefore, the supervision data collection of the non-compliant area on the overground part of the engineering construction site is skipped, the reliability of the collected supervision data is reduced, and potential safety hazards are generated in the construction process and after the construction is finished, and finally safety accidents are caused, so that the effectiveness of project supervision work in the construction process is reduced or is invalid.
As an embodiment of the present invention, the fixed acquisition unit includes a fixed camera installed on an engineering construction site; the fixed acquisition unit transmits a video picture shot by the fixed camera to the video analysis unit through the Internet of things; the video analysis unit analyzes the video shot by the fixed camera and analyzes various operations of workers on the engineering construction site in the construction process; the video analysis unit captures and marks illegal and dangerous operations existing in the construction process of workers from a video and then sends the video to the early warning module; after receiving the screenshot and the mark, the early warning module stores the screenshot and the mark in a storage module and gives an alarm to remind a manager to check and take a treatment measure; the video analysis unit analyzes the shot video and finds out the influence factors on the engineering construction progress in the operation of constructors, so that correction is carried out and the construction speed is improved;
during operation, through the video analysis of the video that the video analysis unit was shot to fixed acquisition unit, can effectually discern the violation operation that the workman goes on in the work progress to carry out the record, thereby make things convenient for managers to teach the constructor, so that correct constructor's violation action, compliance, security in the assurance work progress, and guarantee the quality safety of construction back engineering, avoid constructor violation operation, produce the potential safety hazard, finally cause the incident.
The specific working process is as follows:
during work, in the process of managing project supervision information, relatively fixed data with small variation amplitude in the project construction process are collected through a fixed collecting unit in a collecting module, meanwhile, data with relatively rapid variation and large variation amplitude in a project construction field are collected through a manual collecting unit, meanwhile, the internet of things is used for networking and transmitting supervision data, meanwhile, supervision data are further collected and checked on the spot in a mode that a supervisor carries the manual collecting unit, and the problem that the fixed collecting unit is damaged by constructors or the construction process is possibly caused when the fixed collecting unit is singly adopted is avoided; the video analysis unit is used for analyzing the video shot by the manual acquisition unit, and the first supervision data is automatically analyzed from the video, so that the supervision data acquired by the manual acquisition unit is prevented from being misled or tampered by supervision personnel; the project prediction progress state data in the workpiece construction process are obtained through the analysis and calculation of the project progress model by the progress analysis unit, the actual progress state speed of the project is obtained through the acquired overall supervision data, the difference between the obtained prediction result and the actual result and the influence factors are obtained, then the influence factors are sent to the early warning module, and managers are reminded through the early warning module; before a supervisor goes to an engineering construction field for on-site monitoring, the action path of the supervisor on the engineering construction field is planned, so that the condition that part of a region is not missed unintentionally or intentionally when the supervisor carries out on-site monitoring on the engineering construction field and supervision data of the missed region cannot be collected is ensured, and the collected overall supervision data is incomplete; through the analysis of the video shot by the fixed acquisition unit by the video analysis unit, the illegal operation of workers in the construction process can be effectively distinguished, the record is carried out, the management personnel can conveniently teach constructors, and the illegal behaviors of the constructors can be corrected.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (6)
1. An engineering supervision information management method based on the Internet of things is characterized by comprising the following steps: the early warning system comprises an acquisition module, a judgment module, an early warning module and a storage module; the storage module stores acceptance criteria in the engineering construction process;
the management method comprises the following steps:
s1: collecting various supervision data in the engineering construction process through a collection module, and sending the supervision data to a judgment module;
s2: on the basis of the step of S1, the judging module analyzes the received supervision data to obtain a deviation value between the supervision data and an acceptance standard, and sends the deviation value to the early warning module;
s3: on the basis of the step S2, the judging module establishes a project progress model according to the received supervision data, and judges the project progress stage and optimizes and improves the project construction speed through the model;
s4: on the basis of the step of S3, the early warning module judges the received deviation value: the deviation value is in a normal fluctuation range, and the early warning module does not act; when the deviation value exceeds the normal fluctuation range, the early warning module marks the supervision data corresponding to the deviation value and sends an alarm;
s5: storing the collected supervision data, deviation value and alarm information into a storage module according to a time sequence;
the acquisition module comprises a fixed acquisition unit and a manual acquisition unit; the fixed acquisition units are monitoring devices arranged at all positions of an engineering construction site, and monitoring data are transmitted to the judgment module among the monitoring devices through the Internet of things; the monitoring device is carried by the engineering supervision personnel of the manual acquisition unit when the engineering supervision personnel supervise the engineering construction site;
the judging module comprises a data analysis unit; the judging module receives the supervision data collected by the fixed collecting unit and the manual collecting unit and then sends the received supervision data to the data analyzing unit; the data analysis unit compares the supervision data with the acceptance standard of engineering construction to obtain the deviation value between each supervision data and the acceptance standard; after the data analysis unit obtains a deviation value, the deviation value is sent to an early warning module; the early warning module judges the deviation value, and after the deviation value exceeds the normal fluctuation range specified in the acceptance standard, the early warning module carries out early warning marking on the supervision data corresponding to the deviation value, and sends out an alarm to remind a manager to check and collect correction measures.
2. The project supervision information management method based on the internet of things as claimed in claim 1, characterized in that: the manual acquisition unit is a camera with the transmission function of the Internet of things; the project supervision personnel carry the project construction site and use a camera to shoot when carrying out supervision on the project construction site; the video shot by the manual acquisition unit is sent to the judgment module in real time through the Internet of things; the judgment module comprises a video analysis unit, and the video analysis unit adopts AI technology to compare and comprehensively analyze the video and extract key information in the video; after the judgment module receives the video sent by the manual acquisition unit, the video is transmitted to the video analysis unit; the video analysis unit analyzes the video sent by the manual acquisition unit to obtain first supervision data obtained by supervision personnel in field detection of a field of engineering construction; the video analysis unit sends the first proctoring data to the data analysis unit; the supervision data of the engineering construction site collected by the fixed collection unit is second supervision data; the first supervision data and the second supervision data are combined to obtain total supervision data in engineering construction; the data analysis unit compares the overall supervision data obtained by combining the first supervision data and the second supervision data with the acceptance standard of engineering construction to obtain a deviation value between each item of overall supervision data and the acceptance standard; after the data analysis unit obtains a deviation value, the deviation value is sent to an early warning module; the early warning module judges the deviation value, and after the deviation value exceeds the normal fluctuation range specified in the acceptance standard, the early warning module carries out early warning marking on the single overall supervision data corresponding to the deviation value, and sends out an alarm to remind a manager to check and collect corrective measures.
3. The project supervision information management method based on the internet of things as claimed in claim 2, characterized in that: the judging module comprises a progress analyzing unit; after the data analysis unit receives the overall supervision data, the overall supervision data are synchronously sent to the progress analysis unit; the progress analysis unit establishes an engineering progress model according to the received overall supervision data and the engineering overall planning data, and calculates engineering prediction progress state data through the engineering progress model; after receiving the latest overall supervision data, the progress analysis unit substitutes the overall supervision data into the project progress model and calculates to obtain actual project progress state data; the progress analysis unit compares and analyzes the actual progress state data of the project and the predicted progress state data of the project to obtain difference points between the actual progress state data of the project and the predicted progress state data of the project; the progress analysis unit comprehensively compares and analyzes the difference points and the overall supervision data to obtain factors influencing the engineering progress and sends the influencing factors to the early warning module; after receiving the influence factors, the early warning module sends out a prompt to remind a manager to check and eliminate the influence factors, and the engineering progress speed is increased.
4. The project supervision information management method based on the internet of things as claimed in claim 1, characterized in that: the overall supervision data acquired by the acquisition module is synchronously transmitted to the storage unit for storage while being transmitted to the judgment module; various data obtained by calculation of the judging module are stored in a storage unit for subsequent inquiry and inspection; after the stored overall supervision data in the storage module and various data obtained by the judgment module are stored in the storage module, the data are in a read-only mode; when the stored data in the storage module needs to be changed into a read-write mode for modification, three or more managers need to confirm the data simultaneously; the data in the storage module is changed from a read-only mode to a read-write mode and only maintains for 5min, and the data is automatically changed back to the read-only mode after the time is exceeded; the operation of the storage module for converting the data from the read-only mode to the read-write mode is recorded and stored in real time and is not allowed to be modified.
5. The project supervision information management method based on the internet of things as claimed in claim 1, characterized in that: the manual acquisition unit comprises a positioning component; when the manual acquisition unit is carried by a supervisor to move, the positioning assembly records the moving path of the manual acquisition unit and uploads the moving path to the data analysis unit in the judgment module; before the supervision personnel go to the engineering construction site for supervision, the data analysis unit plans to obtain a preset action path according to the engineering construction site data stored in the storage module; after the data analysis unit obtains the preset action path, the preset action path data is sent to a supervisor to request the supervisor to move according to the preset action path; the positioning component records the obtained cloud moving path of the proctoring personnel as an actual action path; after receiving the actual action path, the data analysis unit compares and analyzes the actual action path and the preset action path to obtain an error value between the actual action path and the preset action path; the error value is in a normal fluctuation range, and the data analysis unit does not act; the error value is in a normal fluctuation range, the data analysis unit judges that the data acquired by the manual acquisition unit is doubtful and is not adopted, and the data analysis unit sends a re-acquisition instruction to a supervisor; and after receiving the re-acquisition instruction, the proctoring personnel finishes acquiring proctoring data again according to the preset action path.
6. The project supervision information management method based on the internet of things as claimed in claim 1, characterized in that: the fixed acquisition unit comprises a fixed camera arranged on an engineering construction site; the fixed acquisition unit transmits a video picture shot by the fixed camera to the video analysis unit through the Internet of things; the video analysis unit analyzes the video shot by the fixed camera and analyzes various operations of workers on the engineering construction site in the construction process; the video analysis unit captures and marks illegal and dangerous operations existing in the construction process of workers from a video and then sends the video to the early warning module; after receiving the screenshot and the mark, the early warning module stores the screenshot and the mark in a storage module and gives an alarm to remind a manager to check and take a treatment measure; the video analysis unit analyzes the shot video and finds out the influence factors on the engineering construction progress in the operation of constructors, so that correction is carried out and the construction speed is increased.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113919675A (en) * | 2021-09-28 | 2022-01-11 | 内蒙古万和工程项目管理有限责任公司 | Method and system for checking and accepting actual measurement of project supervision quality |
| CN114140999A (en) * | 2021-11-16 | 2022-03-04 | 广东重工建设监理有限公司 | Engineering supervision system based on communication of Internet of things |
| CN114924535A (en) * | 2022-05-18 | 2022-08-19 | 北京天辰信科技有限公司 | Method and system for acquiring information from engineering data to perform safety production early warning |
| CN115358721A (en) * | 2022-08-30 | 2022-11-18 | 中新华都国际工程咨询有限公司 | Engineering supervision information supervision system and method based on big data |
-
2021
- 2021-01-18 CN CN202110064107.2A patent/CN112734394A/en not_active Withdrawn
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113919675A (en) * | 2021-09-28 | 2022-01-11 | 内蒙古万和工程项目管理有限责任公司 | Method and system for checking and accepting actual measurement of project supervision quality |
| CN113919675B (en) * | 2021-09-28 | 2023-01-03 | 内蒙古万和工程项目管理有限责任公司 | Method and system for checking and accepting actual measurement of project supervision quality |
| CN114140999A (en) * | 2021-11-16 | 2022-03-04 | 广东重工建设监理有限公司 | Engineering supervision system based on communication of Internet of things |
| CN114140999B (en) * | 2021-11-16 | 2022-05-10 | 广东重工建设监理有限公司 | Project supervision system based on communication of Internet of things |
| CN114924535A (en) * | 2022-05-18 | 2022-08-19 | 北京天辰信科技有限公司 | Method and system for acquiring information from engineering data to perform safety production early warning |
| CN114924535B (en) * | 2022-05-18 | 2022-12-02 | 北京天辰信科技有限公司 | Method and system for acquiring information from engineering data to perform safety production early warning |
| CN115358721A (en) * | 2022-08-30 | 2022-11-18 | 中新华都国际工程咨询有限公司 | Engineering supervision information supervision system and method based on big data |
| CN115358721B (en) * | 2022-08-30 | 2023-05-23 | 中新华都国际工程咨询有限公司 | Engineering supervision information supervision system and method based on big data |
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