CN116644943A - Engineering supervision data management system based on Internet of things - Google Patents
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Abstract
The invention discloses an engineering supervision data management system based on the Internet of things, which relates to the technical field of engineering supervision and comprises a supervision analysis module, a task allocation module, a supervision center, a data acquisition module and a data transmission module; the supervision and analysis module is used for searching, referring and monitoring construction logs stored in the database and calculating to obtain supervision coefficients of all building procedures; the task allocation module is used for analyzing the supervision value index GL of the acquisition and detection task in the supervision center and allocating the acquisition and detection task to inspectors of different grades according to the supervision value index GL; the detection efficiency is effectively improved, and the maximization of personnel allocation and utilization is realized; the data transmission module is used for selecting a plurality of base stations according to a preset rule to form a transmission path so as to send the supervision data cached in the detection terminal to the supervision center; network congestion is effectively avoided, and communication efficiency is improved; the data transmission is more hierarchical, and the user experience is improved.
Description
Technical Field
The invention relates to the technical field of engineering supervision, in particular to an engineering supervision data management system based on the Internet of things.
Background
After the engineering construction is finished, checking and accepting the engineering result by a supervision team; when the construction engineering range is large, inspection and acceptance inspection are required to be carried out on a plurality of engineering points by a supervision team, and data acquisition and detection are required to be carried out on the engineering points in the engineering inspection and acceptance process;
in the prior art, the problem that the data acquisition and detection can not be carried out by reasonably distributing the inspectors with different grades according to the supervision value indexes of each engineering point, so that the detection efficiency is improved and the data authenticity is ensured exists; meanwhile, when the supervision data is uploaded, the transmission path is simply selected, and the problem that a transit base station cannot be reasonably selected for transmission according to the communication state exists; poor communication efficiency and easy external interference are caused; based on the defects, the invention provides an engineering supervision data management system based on the Internet of things.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides an engineering supervision data management system based on the Internet of things.
To achieve the above objective, an embodiment according to a first aspect of the present invention provides an engineering supervision data management system based on the internet of things, including an engineering log module, a supervision and analysis module, a task publishing module, a task allocation module, a data acquisition module, a data transmission module, and a signal analysis module;
the supervision and analysis module is used for searching, referring and monitoring construction logs stored in the database and calculating to obtain supervision coefficients JG of each building procedure; wherein each engineering project comprises a plurality of building procedures; each building procedure has corresponding construction time data;
the task issuing module is used for issuing the acquisition detection task to the supervision center by an operation manager; the acquisition detection task comprises a procedure number and a corresponding engineering point;
the task allocation module is used for analyzing the supervision value index GL of the acquisition and detection task in the supervision center and allocating the acquisition and detection task to inspectors of different grades according to the supervision value index GL; the method specifically comprises the following steps: comparing the supervision value index GL with a preset value threshold; the preset value threshold comprises L1 and L2, and L1 is more than L2; if GL is more than L1, distributing the acquisition detection task to an advanced inspector; if L2 is more than GL and less than or equal to L1, distributing the acquisition detection task to a middle-level inspector; if GL is less than or equal to L2, distributing the acquisition detection task to a primary inspector;
the data acquisition module is used for acquiring supervision data of the corresponding building engineering after an inspector reaches an engineering point, and buffering the acquired supervision data in the detection terminal;
the signal analysis module is connected with the data transmission module and is used for collecting and analyzing the noise signals of the data transmission module in real time and calculating to obtain the signal influence index Ys of the data transmission module;
the data transmission module is used for assisting in selecting a corresponding number of base stations to form transmission paths according to the signal influence indexes Ys so as to send the supervision data cached in the detection terminal to the supervision center.
Further, the specific analysis steps of the task allocation module are as follows:
acquiring building procedures and engineering points corresponding to acquisition and detection tasks; marking a region with a radius of rt as a process-related region by taking the engineering point position as the center; wherein rt is a preset value;
collecting human economic data of a process related area, wherein the human economic data comprises population quantity, average human GDP and employment rate; marking the population number, the average GDP and the employment rate as R1, G1 and Y1 in sequence; calculating a human influence coefficient Wc of the process-related region by using a formula wc=r1×a1+g1×a2+y1×a3, wherein a1, a2 and a3 are coefficient factors;
the input cost and the construction time of the building procedure are marked as E1 and GT1 in sequence; automatically calling a supervision factor JG of the building procedure from a cloud platform; calculating the supervision value index GL of the acquisition and detection task by using a formula GL=gamma×JG× (wc×a4+E1×a5+GT1a6), wherein a4, a5 and a6 are coefficient factors; gamma is a preset equalization coefficient.
Further, the specific monitoring steps of the supervision and analysis module are as follows:
when the construction log is searched and referred, determining corresponding building procedures according to the storage time stamp of the construction log, and recording procedure reference information;
counting the total consulting times of the building procedure as C1 in a preset time period; accumulating the consulting duration of the consulting information of each procedure to obtain a consulting total duration ZT; performing time difference calculation on adjacent reference moments to obtain a reference interval GTi;
comparing the reference interval GTi with a preset interval threshold; counting the times of GTi which is less than or equal to a preset interval threshold value as Lb; when the GTi is less than or equal to a preset interval threshold value, obtaining a difference value between the GTi and the preset interval threshold value, and summing to obtain a difference total value CZ;
calculating to obtain a supervision coefficient JG of the building process by using a formula JG= ƒ ×C1× (ZT×b1+Lb×b2+CZ×b3), wherein b1, b2 and b3 are coefficient factors, and ƒ is a preset compensation coefficient; and the supervision analysis module is used for stamping the supervision coefficient JG of the building procedure with a time stamp and storing the time stamp to the cloud platform.
Further, the specific working steps of the data transmission module are as follows:
acquiring a signal influence index Ys of a data transmission module at the current moment; the corresponding quantity of the transit base stations is determined in an auxiliary mode according to the signal influence index Ys, and specifically:
a comparison table of the signal influence index range and the quantity threshold value of the transit base stations is stored in the database, and the quantity threshold value of the transit base stations corresponding to the signal influence index Ys is determined to be D2 according to the comparison table; d2 transit base stations are selected to be sequentially connected to form a transmission path.
Further, the specific analysis steps of the signal analysis module are as follows:
converting the collected noise signals into digital signals, and filtering the converted digital signals; collecting the periodic energy value of the corresponding digital signal according to the preset interval duration; wherein the periodic energy value is a value obtained by accumulating and averaging the energy of the received continuous multiple bit data;
marking the periodic energy value as ZEm, and establishing a graph of the periodic energy value ZEm over time; comparing the periodic energy value ZEm with a preset energy threshold; if ZEm is larger than the preset energy threshold, the corresponding curve segment is intercepted in the corresponding curve graph for marking, and the curve segment is marked as an influence curve segment;
in a preset time period, counting the number of influence curve segments as P1, and integrating all the influence curve segments with time to obtain an influence reference area M1; calculating a signal influence index Ys by using a formula ys=P1×g1+M1×g2, wherein g1 and g2 are coefficient factors; the signal analysis module is used for time stamping the signal influence index Ys of the data transmission module and storing the time stamp to the cloud platform.
Further, a fingerprint detection unit is arranged in the data acquisition module, and the fingerprint detection unit is used for carrying out fingerprint verification on the inspector before uploading the supervision data by the inspector; after the fingerprint passes verification, the inspector marks the collected supervision data with a time stamp and caches the data in the detection terminal.
Further, the engineering log module is used for monitoring the construction progress of engineering projects, and organizing data information generated in the monitored construction process into a construction log, and the construction log is stored in a database.
Compared with the prior art, the invention has the beneficial effects that:
the supervision and analysis module is used for searching, referring and monitoring construction logs stored in the database, and calculating supervision coefficients JG of each building procedure; the task distribution module is used for analyzing the supervision value index GL of the acquisition and detection task in the supervision center, and calculating the supervision value index GL of the acquisition and detection task by combining the humane influence coefficient Wc of the process related region, the input cost of the building process, the construction time length and the supervision coefficient JG; distributing the acquisition detection tasks to inspectors of different grades according to the supervision value index GL; the detection efficiency is effectively improved, and the maximization of personnel allocation and utilization is realized;
the fingerprint detection unit is arranged in the data acquisition module, and is used for carrying out fingerprint verification on the inspector before uploading the supervision data by the inspector; therefore, the random uploading of data by irrelevant personnel is avoided, and the authenticity and the safety of the data are ensured; the signal analysis module is used for collecting noise signals of the data transmission module in real time and analyzing signal influence indexes Ys; the data transmission module is used for determining the number of corresponding transfer base stations as D2 in an auxiliary mode according to the signal influence indexes Ys, selecting D2 transfer base stations to be sequentially connected to form a transmission path, and sending supervision data cached in the detection terminal to the supervision center; network congestion is effectively avoided, and communication efficiency is improved; the data transmission is more hierarchical, and the user experience is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of an engineering supervision data management system based on the internet of things.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, an engineering supervision data management system based on the internet of things comprises an engineering log module, a database, a supervision and analysis module, a cloud platform, a task release module, a supervision center, a task allocation module, a data acquisition module, a data transmission module and a signal analysis module;
the engineering log module is used for monitoring the construction progress of engineering projects, and organizing data information generated in the monitored construction process into construction logs, and storing the construction logs in a database so as to save the data information of engineering project construction in real time; the related personnel pay attention to know the construction progress of the engineering project through the database; the engineering project comprises a plurality of building procedures; each building procedure has corresponding construction time data;
the supervision analysis module is used for searching, referring and monitoring construction logs stored in the database and calculating to obtain supervision coefficients JG of each building procedure; the specific monitoring steps are as follows:
when the construction log is searched and referred, determining corresponding building procedures according to the storage time stamp of the construction log, and recording procedure reference information;
counting the total consulting times of the building procedure as C1 in a preset time period; accumulating the consulting duration of the consulting information of each procedure to obtain a consulting total duration ZT; performing time difference calculation on adjacent reference moments to obtain a reference interval GTi;
comparing the reference interval GTi with a preset interval threshold; counting the times of GTi which is less than or equal to a preset interval threshold value as Lb; when the GTi is less than or equal to a preset interval threshold value, obtaining a difference value between the GTi and the preset interval threshold value, and summing to obtain a difference total value CZ;
calculating to obtain a supervision coefficient JG of the building process by using a formula JG= ƒ ×C1× (ZT×b1+Lb×b2+CZ×b3), wherein b1, b2 and b3 are coefficient factors, and ƒ is a preset compensation coefficient;
the supervision analysis module is used for marking time stamps on supervision coefficients JG of each building procedure and storing the time stamps to the cloud platform;
the task issuing module is used for issuing the acquisition detection task to the supervision center by an operation manager; the acquisition and detection task comprises a process number and a corresponding engineering point;
the task distribution module is used for analyzing the supervision value index GL of the acquisition and detection task in the supervision center and distributing the acquisition and detection task to inspectors of different grades according to the supervision value index GL; the specific analysis steps are as follows:
acquiring building procedures and engineering points corresponding to acquisition and detection tasks; marking a region with a radius of rt as a process-related region by taking the engineering point position as the center; wherein rt is a preset value;
collecting human economic data of a process related area, wherein the human economic data comprises population quantity, human average GDP and employment rate; marking the population number, the average GDP and the employment rate as R1, G1 and Y1 in sequence; calculating a human influence coefficient Wc of the process-related region by using a formula wc=r1×a1+g1×a2+y1×a3, wherein a1, a2 and a3 are coefficient factors;
the input cost and the construction time of the construction procedure are marked as E1 and GT1 in sequence; automatically retrieving a supervision factor JG of a building procedure from a cloud platform; calculating to obtain a supervision value index GL of the acquisition and detection task by using a formula GL=gamma×JG× (wc×a4+E1×a5+GT1a6), wherein a4, a5 and a6 are coefficient factors; gamma is a preset equalization coefficient;
distributing the acquisition detection tasks to inspectors of different grades according to the supervision value index GL, wherein the collection detection tasks comprise the following specific steps: comparing the supervision value index GL with a preset value threshold; the preset value threshold comprises L1 and L2, and L1 is more than L2;
if GL is more than L1, distributing the acquisition detection task to an advanced inspector; if L2 is more than GL and less than or equal to L1, distributing the acquisition detection task to a middle-level inspector; if GL is less than or equal to L2, distributing the acquisition detection task to a primary inspector; the detection efficiency is effectively improved, and the maximization of personnel allocation and utilization is realized;
the data acquisition module is used for acquiring supervision data of the corresponding building engineering after the inspector reaches the engineering point and buffering the acquired supervision data in the detection terminal;
the data acquisition module is internally provided with a fingerprint detection unit, and the fingerprint detection unit is used for carrying out fingerprint verification on the inspector before uploading the supervision data by the inspector; after the fingerprint passes verification, the inspector marks the collected supervision data with a time stamp and caches the data in the detection terminal; therefore, the random uploading of data by irrelevant personnel is avoided, and the authenticity and the safety of the data are ensured;
the data transmission module is used for selecting a plurality of base stations to form a transmission path according to a preset rule, and sending the supervision data cached in the detection terminal to the supervision center according to the transmission path; network congestion is effectively avoided, and communication efficiency is improved; the data transmission is more hierarchical, and the user experience is improved;
the specific working steps of the data transmission module are as follows:
acquiring a signal influence index Ys of a data transmission module at the current moment; the corresponding quantity of the transit base stations is determined in an auxiliary mode according to the signal influence index Ys, and specifically:
a comparison table of the signal influence index range and the quantity threshold value of the transit base stations is stored in the database, and the quantity threshold value of the transit base stations corresponding to the signal influence index Ys is determined to be D2 according to the comparison table; selecting D2 transit base stations to be sequentially connected to form a transmission path;
the signal analysis module is connected with the data transmission module and is used for collecting noise signals of the data transmission module in real time and analyzing signal influence indexes Ys, and the specific analysis steps are as follows:
converting the collected noise signals into digital signals, and filtering the converted digital signals; collecting the periodic energy value of the corresponding digital signal according to the preset interval duration; wherein the periodic energy value is a value obtained by accumulating and averaging the energy of the received continuous multiple bit data;
marking the periodic energy value as ZEm, and establishing a graph of the periodic energy value ZEm over time; comparing the periodic energy value ZEm with a preset energy threshold; if ZEm is larger than the preset energy threshold, the corresponding curve segment is intercepted in the corresponding curve graph for marking, and the curve segment is marked as an influence curve segment;
in a preset time period, counting the number of influence curve segments as P1, and integrating all the influence curve segments with time to obtain an influence reference area M1; calculating a signal influence index Ys by using a formula ys=P1×g1+M1×g2, wherein g1 and g2 are coefficient factors; the signal analysis module is used for time stamping the signal influence index Ys of the data transmission module and storing the time stamp to the cloud platform.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the invention is as follows:
the engineering supervision data management system based on the Internet of things is used for monitoring the construction progress of engineering projects when in work, and organizing data information generated in the monitored construction process into construction logs, wherein the construction logs are stored in a database, so that related personnel pay attention to know the construction progress of the engineering projects through the database; the supervision analysis module is used for searching, referring and monitoring construction logs stored in the database and calculating to obtain supervision coefficients JG of each building procedure; the task distribution module is used for analyzing the supervision value index GL of the acquisition and detection task in the supervision center, and calculating the supervision value index GL of the acquisition and detection task by combining the humane influence coefficient Wc of the process related region, the input cost of the building process, the construction time length and the supervision coefficient JG; distributing the acquisition detection tasks to inspectors of different grades according to the supervision value index GL; the detection efficiency is effectively improved, and the maximization of personnel allocation and utilization is realized;
the data acquisition module is used for acquiring supervision data of the corresponding building engineering after the inspector reaches the engineering point and caching the supervision data in the detection terminal; before the inspector uploads the supervision data, the fingerprint detection unit is used for carrying out fingerprint verification on the inspector; therefore, the random uploading of data by irrelevant personnel is avoided, and the authenticity and the safety of the data are ensured; the signal analysis module is used for collecting noise signals of the data transmission module in real time and analyzing signal influence indexes Ys; the data transmission module is used for determining the number of corresponding transfer base stations as D2 in an auxiliary mode according to the signal influence indexes Ys, selecting D2 transfer base stations to be sequentially connected to form a transmission path, and sending supervision data cached in the detection terminal to the supervision center; network congestion is effectively avoided, and communication efficiency is improved; the data transmission is more hierarchical, and the user experience is improved.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The engineering supervision data management system based on the Internet of things is characterized by comprising an engineering log module, a supervision analysis module, a task issuing module, a supervision center, a task distribution module, a data acquisition module, a data transmission module and a signal analysis module;
the supervision and analysis module is used for searching, referring and monitoring construction logs stored in the database and calculating to obtain supervision coefficients JG of each building procedure; wherein each engineering project comprises a plurality of building procedures; each building procedure has corresponding construction time data;
the task issuing module is used for issuing the acquisition detection task to the supervision center by an operation manager; the acquisition detection task comprises a procedure number and a corresponding engineering point;
the task allocation module is used for analyzing the supervision value index GL of the acquisition and detection task in the supervision center and allocating the acquisition and detection task to inspectors of different grades according to the supervision value index GL; the method specifically comprises the following steps: comparing the supervision value index GL with a preset value threshold; the preset value threshold comprises L1 and L2, and L1 is more than L2; if GL is more than L1, distributing the acquisition detection task to an advanced inspector; if L2 is more than GL and less than or equal to L1, distributing the acquisition detection task to a middle-level inspector; if GL is less than or equal to L2, distributing the acquisition detection task to a primary inspector;
the data acquisition module is used for acquiring supervision data of the corresponding building engineering after an inspector reaches an engineering point, and buffering the acquired supervision data in the detection terminal;
the signal analysis module is connected with the data transmission module and is used for collecting and analyzing the noise signals of the data transmission module in real time and calculating to obtain the signal influence index Ys of the data transmission module;
the data transmission module is used for assisting in selecting a corresponding number of base stations to form transmission paths according to the signal influence indexes Ys so as to send the supervision data cached in the detection terminal to the supervision center.
2. The engineering supervision data management system based on the internet of things according to claim 1, wherein the specific analysis steps of the task allocation module are as follows:
acquiring building procedures and engineering points corresponding to acquisition and detection tasks; marking a region with a radius of rt as a process-related region by taking the engineering point position as the center; wherein rt is a preset value;
collecting human economic data of a process related area, wherein the human economic data comprises population quantity, average human GDP and employment rate; marking the population number, the average GDP and the employment rate as R1, G1 and Y1 in sequence; calculating a human influence coefficient Wc of the process-related region by using a formula wc=r1×a1+g1×a2+y1×a3, wherein a1, a2 and a3 are coefficient factors;
the input cost and the construction time of the building procedure are marked as E1 and GT1 in sequence; automatically calling a supervision factor JG of the building procedure from a cloud platform; calculating the supervision value index GL of the acquisition and detection task by using a formula GL=gamma×JG× (wc×a4+E1×a5+GT1a6), wherein a4, a5 and a6 are coefficient factors; gamma is a preset equalization coefficient.
3. The engineering supervision data management system based on the internet of things according to claim 2, wherein the specific monitoring steps of the supervision analysis module are as follows:
when the construction log is searched and referred, determining corresponding building procedures according to the storage time stamp of the construction log, and recording procedure reference information; counting the total consulting times of the building procedure as C1 in a preset time period; accumulating the consulting duration of the consulting information of each procedure to obtain a consulting total duration ZT; performing time difference calculation on adjacent reference moments to obtain a reference interval GTi;
comparing the reference interval GTi with a preset interval threshold; counting the times of GTi which is less than or equal to a preset interval threshold value as Lb; when the GTi is less than or equal to a preset interval threshold value, obtaining a difference value between the GTi and the preset interval threshold value, and summing to obtain a difference total value CZ; calculating to obtain a supervision coefficient JG of the building process by using a formula JG= ƒ ×C1× (ZT×b1+Lb×b2+CZ×b3), wherein b1, b2 and b3 are coefficient factors, and ƒ is a preset compensation coefficient; and the supervision analysis module is used for marking the supervision coefficient JG of each building procedure with a time stamp and storing the time stamp to the cloud platform.
4. The engineering supervision data management system based on the internet of things according to claim 1, wherein the specific working steps of the data transmission module are as follows:
acquiring a signal influence index Ys of a data transmission module at the current moment; the corresponding quantity of the transit base stations is determined in an auxiliary mode according to the signal influence index Ys, and specifically:
a comparison table of the signal influence index range and the quantity threshold value of the transit base stations is stored in the database, and the quantity threshold value of the transit base stations corresponding to the signal influence index Ys is determined to be D2 according to the comparison table; d2 transit base stations are selected to be sequentially connected to form a transmission path.
5. The engineering supervision data management system based on the internet of things according to claim 4, wherein the specific analysis steps of the signal analysis module are as follows:
converting the collected noise signals into digital signals, and filtering the converted digital signals; collecting the periodic energy value of the corresponding digital signal according to the preset interval duration; wherein the periodic energy value is a value obtained by accumulating and averaging the energy of the received continuous multiple bit data;
marking the periodic energy value as ZEm, and establishing a graph of the periodic energy value ZEm over time; comparing the periodic energy value ZEm with a preset energy threshold; if ZEm is larger than the preset energy threshold, the corresponding curve segment is intercepted in the corresponding curve graph for marking, and the curve segment is marked as an influence curve segment;
in a preset time period, counting the number of influence curve segments as P1, and integrating all the influence curve segments with time to obtain an influence reference area M1; calculating a signal influence index Ys by using a formula ys=P1×g1+M1×g2, wherein g1 and g2 are coefficient factors; the signal analysis module is used for time stamping the signal influence index Ys of the data transmission module and storing the time stamp to the cloud platform.
6. The engineering supervision data management system based on the internet of things according to claim 1, wherein a fingerprint detection unit is arranged in the data acquisition module, and the fingerprint detection unit is used for carrying out fingerprint verification on an inspector before uploading supervision data by the inspector; after the fingerprint passes verification, the inspector marks the collected supervision data with a time stamp and caches the data in the detection terminal.
7. The engineering supervision data management system based on the internet of things according to claim 1, wherein the engineering log module is configured to monitor a construction progress of an engineering project, and sort data information generated in the monitored construction process into a construction log, and the construction log is stored in a database.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117499241A (en) * | 2023-11-03 | 2024-02-02 | 广东省建筑工程监理有限公司 | Intelligent supervision data dynamic processing method and system |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050108982A1 (en) * | 2003-11-25 | 2005-05-26 | Robert Formisano | Dynamic residential construction cost estimation process |
| US20100185590A1 (en) * | 2009-01-20 | 2010-07-22 | International Business Machines Corporation | Autonomic information management system (ims) mainframe database pointer error diagnostic data extraction |
| WO2012006679A1 (en) * | 2010-07-15 | 2012-01-19 | Instro Australia Pty Ltd | Engineering quality system |
| CN103136626A (en) * | 2011-11-29 | 2013-06-05 | 北京建龙重工集团有限公司 | On-line management method for engineering project |
| CN104517188A (en) * | 2014-12-25 | 2015-04-15 | 国家电网公司 | Engineering project security management intelligent integrated machine |
| CN106056268A (en) * | 2016-05-17 | 2016-10-26 | 北京诺士诚国际工程项目管理有限公司 | Engineering project management cloud platform system based on material tracking |
| CN109214670A (en) * | 2018-08-24 | 2019-01-15 | 温州市宏业建设监理有限公司 | A kind of construction quality supervision method in project supervision |
| CN109872034A (en) * | 2018-12-30 | 2019-06-11 | 广州骏升建设管理有限公司 | The project process method and system of project supervision |
| CN112396337A (en) * | 2020-11-27 | 2021-02-23 | 上海华东民航机场建设监理有限公司 | Remote project supervision method and system based on law enforcement instrument and storage medium thereof |
| CN112969051A (en) * | 2021-01-30 | 2021-06-15 | 南京新高智联信息技术有限公司 | Hydraulic engineering management system based on big data |
| CN113283736A (en) * | 2021-01-18 | 2021-08-20 | 惠州迅云数字信息技术有限公司 | Engineering supervision data safety system |
| 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 |
| CN115096373A (en) * | 2022-08-09 | 2022-09-23 | 中大智能科技股份有限公司 | Bridge engineering health detection system based on sensor |
| CN115271511A (en) * | 2022-08-10 | 2022-11-01 | 吴媛 | Method for supervising construction engineering quality |
| CN115358582A (en) * | 2022-08-20 | 2022-11-18 | 常德城发项目咨询管理有限公司 | Project supervision and acceptance inspection method |
| KR102489400B1 (en) * | 2022-09-28 | 2023-01-18 | 방재웅 | Smart supervision and construction project management system for efficient construction management |
| CN116384837A (en) * | 2023-04-25 | 2023-07-04 | 盐城市建设工程质量检测中心有限公司 | Information processing method, system and inspector terminal for engineering quality inspection |
-
2023
- 2023-07-26 CN CN202310924442.4A patent/CN116644943B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050108982A1 (en) * | 2003-11-25 | 2005-05-26 | Robert Formisano | Dynamic residential construction cost estimation process |
| US20100185590A1 (en) * | 2009-01-20 | 2010-07-22 | International Business Machines Corporation | Autonomic information management system (ims) mainframe database pointer error diagnostic data extraction |
| WO2012006679A1 (en) * | 2010-07-15 | 2012-01-19 | Instro Australia Pty Ltd | Engineering quality system |
| CN103136626A (en) * | 2011-11-29 | 2013-06-05 | 北京建龙重工集团有限公司 | On-line management method for engineering project |
| CN104517188A (en) * | 2014-12-25 | 2015-04-15 | 国家电网公司 | Engineering project security management intelligent integrated machine |
| CN106056268A (en) * | 2016-05-17 | 2016-10-26 | 北京诺士诚国际工程项目管理有限公司 | Engineering project management cloud platform system based on material tracking |
| CN109214670A (en) * | 2018-08-24 | 2019-01-15 | 温州市宏业建设监理有限公司 | A kind of construction quality supervision method in project supervision |
| CN109872034A (en) * | 2018-12-30 | 2019-06-11 | 广州骏升建设管理有限公司 | The project process method and system of project supervision |
| CN112396337A (en) * | 2020-11-27 | 2021-02-23 | 上海华东民航机场建设监理有限公司 | Remote project supervision method and system based on law enforcement instrument and storage medium thereof |
| CN113283736A (en) * | 2021-01-18 | 2021-08-20 | 惠州迅云数字信息技术有限公司 | Engineering supervision data safety system |
| CN112969051A (en) * | 2021-01-30 | 2021-06-15 | 南京新高智联信息技术有限公司 | Hydraulic engineering management system based on big data |
| 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 |
| CN115096373A (en) * | 2022-08-09 | 2022-09-23 | 中大智能科技股份有限公司 | Bridge engineering health detection system based on sensor |
| CN115271511A (en) * | 2022-08-10 | 2022-11-01 | 吴媛 | Method for supervising construction engineering quality |
| CN115358582A (en) * | 2022-08-20 | 2022-11-18 | 常德城发项目咨询管理有限公司 | Project supervision and acceptance inspection method |
| KR102489400B1 (en) * | 2022-09-28 | 2023-01-18 | 방재웅 | Smart supervision and construction project management system for efficient construction management |
| CN116384837A (en) * | 2023-04-25 | 2023-07-04 | 盐城市建设工程质量检测中心有限公司 | Information processing method, system and inspector terminal for engineering quality inspection |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117499241A (en) * | 2023-11-03 | 2024-02-02 | 广东省建筑工程监理有限公司 | Intelligent supervision data dynamic processing method and system |
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