CN113537765A - Intelligent supervision acceptance management system for intelligent building - Google Patents
Intelligent supervision acceptance management system for intelligent building Download PDFInfo
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- CN113537765A CN113537765A CN202110795785.6A CN202110795785A CN113537765A CN 113537765 A CN113537765 A CN 113537765A CN 202110795785 A CN202110795785 A CN 202110795785A CN 113537765 A CN113537765 A CN 113537765A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/602—Providing cryptographic facilities or services
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Abstract
The invention relates to an acceptance management system, in particular to an intelligent supervision acceptance management system for an intelligent building, wherein an image identification detection module can accurately identify an acceptance area from an acceptance image, extract relevant detection data, generate relevant acceptance information by using an acceptance information generation module, and carry out uplink operation on the relevant acceptance information, so that the accuracy of the final acceptance result of an acceptance item can be ensured; the technical scheme provided by the invention can effectively overcome the defects that the accuracy of the acceptance result is poor, the quality of the construction project cannot be comprehensively evaluated, and the requirement of a user on the privacy of the personalized design data cannot be met.
Description
Technical Field
The invention relates to an acceptance management system, in particular to an intelligent supervision acceptance management system for an intelligent building.
Background
The intelligent building optimally combines the structure, system, service and management of the building according to the requirements of users, thereby providing an efficient, comfortable and convenient humanized living environment for the users. The intelligent building is a product integrating modern science and technology, and the technical basis mainly comprises modern building technology, modern computer technology, modern communication technology and modern control technology.
In recent years, with the development of economy, more and more people choose to settle in cities, the rapid development of the urban residential building industry is stimulated to a great extent, and with the continuous progress of science and technology, the related industry of intelligent buildings also develops rapidly. A large amount of building construction exists in each area of a city, the acceptance of the quality of the building engineering is an important link of the building engineering construction, and the effect of the quality inspection in the building engineering construction is mainly embodied in the aspects of ensuring the engineering quality and providing engineering data. Whether the quality inspection and acceptance of the building engineering is accurate or not only influences the daily life and production and operation activities of people, but also plays an important role in the life and property safety of people.
At present, the acceptance of the construction engineering quality is basically to manually detect each engineering parameter of the building by using related instruments, further evaluate whether each engineering parameter meets the acceptance requirement, and then carry out the comprehensive evaluation of the construction quality according to each obtained engineering parameter. However, this acceptance method has the following drawbacks:
1. in the detection process, multiple instruments are needed, so that the equipment cost is high, the problem that manually acquired detection data is not accurate enough or has high subjectivity can occur, and the accuracy of an acceptance result cannot be ensured;
2. the manually collected detection data can only reflect whether the detection data meets the acceptance requirements or not, and the comprehensive evaluation on the quality of the construction engineering cannot be carried out.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides an intelligent supervision acceptance management system for an intelligent building, which can effectively overcome the defects of poor acceptance result accuracy, incapability of comprehensively evaluating the quality of building engineering and incapability of meeting the privacy requirements of users on personalized design data in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
an intelligent supervision acceptance management system for an intelligent building comprises a server, a user network node and a non-user network node, wherein the user network node and the non-user network node are connected with the server;
the system also comprises an acceptance rule generating module which is used for generating a corresponding acceptance rule under the condition that the user and the constructor confirm together;
the acceptance rule calling module is used for calling the relevant acceptance rules from the generated acceptance rules according to the imported acceptance items;
the image identification detection module is used for identifying the area to be checked in the checking image, detecting the area to be checked according to the identification result and generating detection data;
the data comparison module is used for comparing and analyzing the detection data and the related acceptance rules;
the acceptance information generating module is used for generating relevant acceptance information of the acceptance item according to the comparison and analysis result;
the acceptance result generating module is used for generating a final acceptance result of the acceptance item according to the relevant acceptance information confirmed by the user;
and the early warning information generating module is used for generating acceptance early warning information according to the final acceptance result of the acceptance item.
Preferably, the server receives a construction acceptance rule sent by the non-user network node, and performs uplink operation on the construction acceptance rule through an acceptance rule uplink module;
and after the user network node modifies/authenticates the construction acceptance rule on the chain, the server performs chain linking operation on the modified/authenticated construction acceptance rule again through the acceptance rule chain linking module until both sides authenticate the text which is not modified any more.
Preferably, when both parties authenticate the text which is not modified any more, the server generates corresponding acceptance rules through the acceptance rule generation module according to the text which is not modified any more, and extracts keywords in the acceptance rules as rule keywords.
Preferably, the system further comprises an acceptance item importing module for importing an acceptance item, wherein the acceptance rule calling module extracts the item keywords from the imported acceptance item and calls the relevant acceptance rules from the generated acceptance rules according to the matching result of the item keywords and the rule keywords.
Preferably, the system further comprises an acceptance image receiving module for receiving an acceptance image sent in the field, the acceptance image is marked with an area to be accepted, and the image identification and detection module takes the enclosed area of the closed curve identified from the acceptance image as the area to be accepted.
Preferably, if the image recognition and detection module recognizes an incompletely closed curve in the acceptance image, the image recognition and detection module recognizes end points of the incompletely closed curve and detects a distance between the end points;
when the image recognition detection module detects only one end point distance and the end point distance is within a threshold range, the image recognition detection module takes the area surrounded by the incomplete closed curve as an area to be checked and received; otherwise, the area enclosed by the incomplete closed curve is not the area to be checked.
Preferably, when the data comparison module determines that the difference between the detection data and the acceptance rule is within the threshold range, the acceptance information generation module determines that the detection data is accepted, generates related acceptance information at the same time, and performs uplink operation on the related acceptance information through the acceptance information uplink module, and the user network node authenticates the uplink acceptance information.
Preferably, the early warning information generating module comprehensively analyzes the final acceptance result of the acceptance project, and generates acceptance early warning information according to the difference between the detection data and the acceptance rule and the acceptance qualification proportion of the detection data.
Preferably, the system further comprises a measured data receiving module for receiving the measured data sent on site, and a detection data replacing module for replacing the detection data with the measured data.
Preferably, the block chain comprises a data encryption module and a data decryption module, the data encryption module encrypts the uplink data through a public key of the authenticator, and the authenticator decrypts the data on the chain through a private key and authenticates the decrypted data.
(III) advantageous effects
Compared with the prior art, the intelligent supervision acceptance management system for the intelligent building has the following advantages:
1) the image identification detection module can accurately identify the area to be checked from the checking image, extract related detection data, generate related checking information by using the checking information generation module, carry out chain operation on the related checking information by using the checking information chain module, and authenticate the checking information on the chain by the user network node, so that the accuracy of the final checking result of the checking project can be ensured;
2) the acceptance item importing module imports an acceptance item, the acceptance rule calling module extracts a project keyword from the imported acceptance item, and calls a related acceptance rule from the generated acceptance rule according to a matching result of the project keyword and the rule keyword, so that a series of finished acceptance rules can be generated according to the acceptance item, and meanwhile, the early warning information generating module generates acceptance early warning information according to a final acceptance result of the acceptance item, so that the all-round evaluation on the quality of the construction project is realized;
3) the server carries out chain linking operation on the acceptance rules and the acceptance information, the acceptance rules are formulated by the user and the constructor together, meanwhile, the data encryption module encrypts chain linking data through a public key of the authenticator, the authenticator decrypts the chain data on the data decryption module through a private key and authenticates the decrypted data, and the requirement of the user on personalized design data privacy can be fully met.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An intelligent supervision and acceptance management system for an intelligent building is shown in fig. 1 and comprises a server, a user network node and a non-user network node, wherein the user network node and the non-user network node are connected with the server;
the system also comprises an acceptance rule generating module which is used for generating a corresponding acceptance rule under the condition that the user and the constructor confirm together.
And the server receives the construction acceptance rules sent by the non-user network nodes and carries out chaining operation on the construction acceptance rules through the acceptance rule chaining module. And after the user network node modifies/authenticates the construction acceptance rule on the chain, the server performs chain linking operation on the modified/authenticated construction acceptance rule again through the acceptance rule chain linking module until both parties authenticate the text which is not modified any more.
When both parties authenticate the text which is not modified any more, the server generates corresponding acceptance rules through an acceptance rule generation module according to the text which is not modified any more, and extracts keywords in the acceptance rules as rule keywords.
According to the technical scheme, chain winding operation is carried out on the construction acceptance rules, and the data encryption module and the data decryption module are continuously used for transmitting back and forth between the user and the construction party, so that the user can participate in formulation of the relevant construction acceptance rules of the personalized design on the one hand, and on the other hand, data privacy can be guaranteed, privacy data leakage is prevented, and the requirements of the user on the privacy of the personalized design data are fully met.
And the acceptance rule calling module is used for calling the relevant acceptance rules from the generated acceptance rules according to the imported acceptance items.
The system also comprises an acceptance item importing module used for importing acceptance items, wherein the acceptance rule calling module extracts the item keywords from the imported acceptance items and calls the related acceptance rules from the generated acceptance rules according to the matching result of the item keywords and the rule keywords. Therefore, a series of finished acceptance rules can be generated according to the acceptance projects, and the all-round evaluation on the quality of the construction engineering is realized.
And the image identification detection module is used for identifying the to-be-checked area in the checked and accepted image, detecting the to-be-checked and accepted area according to the identification result and generating detection data.
The image recognition and detection module is used for recognizing the closed curve enclosed area in the acceptance image and determining the closed curve enclosed area as the acceptance area.
If the image recognition detection module recognizes the incomplete closed curve in the acceptance image, the image recognition detection module recognizes the end points of the incomplete closed curve and detects the distance between the end points.
When the image recognition detection module only detects one end point distance and the end point distance is within a threshold range, the image recognition detection module takes the area surrounded by the incomplete closed curve as an area to be checked and received; otherwise, the area enclosed by the incomplete closed curve is not the area to be checked.
And the data comparison module is used for performing comparison analysis on the detection data and the related acceptance rules.
When the data comparison module judges that the difference between the detection data and the acceptance rule is within the threshold range, the acceptance information generation module judges that the detection data is qualified for acceptance, generates related acceptance information at the same time, carries out uplink operation on the related acceptance information through the acceptance information uplink module, and authenticates the uplink acceptance information by the user network node.
The device also comprises an actual measurement data receiving module used for receiving the actual measurement data sent on site and a detection data replacing module used for replacing the detection data with the actual measurement data.
In the technical scheme, when the contrast analysis result deviation of the data contrast module is large, the detection data generated by the image identification detection module can be replaced by the field actual measurement data through the detection data replacement module, so that the accuracy of the contrast analysis result of the data contrast module can be ensured.
And the acceptance information generating module is used for generating the relevant acceptance information of the acceptance item according to the comparison and analysis result. And the acceptance result generating module is used for generating a final acceptance result of the acceptance item according to the relevant acceptance information confirmed by the user.
According to the technical scheme, the image identification detection module can accurately identify the acceptance area from the acceptance image, relevant detection data are extracted, the acceptance information generation module is used for generating relevant acceptance information, the cochain operation is carried out on the relevant acceptance information through the cochain module of the acceptance information, and the user network node authenticates the on-chain acceptance information, so that the accuracy of the final acceptance result of the acceptance item can be ensured.
And the early warning information generating module is used for generating acceptance early warning information according to the final acceptance result of the acceptance item. And the early warning information generation module comprehensively analyzes the final acceptance result of the acceptance project and generates acceptance early warning information according to the difference between the detection data and the acceptance rule and the acceptance qualification proportion of the detection data.
In the technical scheme, the acceptance rule calling module can generate a series of completed acceptance rules according to the acceptance projects, and meanwhile, the early warning information generating module generates acceptance early warning information according to the final acceptance results of the acceptance projects, so that the all-round assessment on the quality of the constructional engineering is realized.
The block chain comprises a data encryption module and a data decryption module, the data encryption module encrypts the uplink data through a public key of the authenticator, and the authenticator decrypts the data on the chain through a private key on the data decryption module and authenticates the decrypted data.
In the technical scheme, the server carries out chaining operation on the acceptance rules and the acceptance information, the acceptance rules are formulated by the user and the construction party together, meanwhile, the data encryption module encrypts chaining data through the public key of the authenticator, the authenticator decrypts the chaining data on the data decryption module through the private key, and authenticates the decrypted data, so that the requirement of the user on personalized design data privacy can be fully met.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The utility model provides an intelligent supervision acceptance management system for intelligent building which characterized in that: the system comprises a server, a user network node and a non-user network node which are connected with the server, wherein the server carries out uplink operation on an acceptance rule and acceptance information, and the acceptance rule is formulated by a user and a constructor together;
the system also comprises an acceptance rule generating module which is used for generating a corresponding acceptance rule under the condition that the user and the constructor confirm together;
the acceptance rule calling module is used for calling the relevant acceptance rules from the generated acceptance rules according to the imported acceptance items;
the image identification detection module is used for identifying the area to be checked in the checking image, detecting the area to be checked according to the identification result and generating detection data;
the data comparison module is used for comparing and analyzing the detection data and the related acceptance rules;
the acceptance information generating module is used for generating relevant acceptance information of the acceptance item according to the comparison and analysis result;
the acceptance result generating module is used for generating a final acceptance result of the acceptance item according to the relevant acceptance information confirmed by the user;
and the early warning information generating module is used for generating acceptance early warning information according to the final acceptance result of the acceptance item.
2. The intelligent ward acceptance management system for intelligent buildings according to claim 1, characterized in that: the server receives a construction acceptance rule sent by a non-user network node, and carries out chain winding operation on the construction acceptance rule through a chain winding module of the acceptance rule;
and after the user network node modifies/authenticates the construction acceptance rule on the chain, the server performs chain linking operation on the modified/authenticated construction acceptance rule again through the acceptance rule chain linking module until both sides authenticate the text which is not modified any more.
3. The intelligent ward acceptance management system for intelligent buildings according to claim 2, characterized in that: and when both parties authenticate the text which is not modified any more, the server generates corresponding acceptance rules through an acceptance rule generation module according to the text which is not modified any more, and extracts keywords in the acceptance rules as rule keywords.
4. The intelligent ward acceptance management system for intelligent buildings according to claim 3, characterized in that: the system also comprises an acceptance item importing module used for importing acceptance items, wherein the acceptance rule calling module extracts the item keywords from the imported acceptance items and calls the related acceptance rules from the generated acceptance rules according to the matching result of the item keywords and the rule keywords.
5. The intelligent ward acceptance management system for intelligent buildings according to claim 4, characterized in that: the image recognition and detection module is used for recognizing the closed curve enclosed area in the acceptance image and taking the closed curve enclosed area as the acceptance area.
6. The intelligent ward acceptance management system for intelligent buildings according to claim 5, characterized in that: if the image recognition detection module recognizes the incomplete closed curve in the acceptance image, the image recognition detection module recognizes the end points of the incomplete closed curve and detects the distance between the end points;
when the image recognition detection module detects only one end point distance and the end point distance is within a threshold range, the image recognition detection module takes the area surrounded by the incomplete closed curve as an area to be checked and received; otherwise, the area enclosed by the incomplete closed curve is not the area to be checked.
7. The intelligent ward acceptance management system for intelligent buildings according to claim 5, characterized in that: when the data comparison module judges that the difference between the detection data and the acceptance rule is within the threshold range, the acceptance information generation module judges that the detection data is qualified for acceptance, generates related acceptance information at the same time, carries out uplink operation on the related acceptance information through the acceptance information uplink module, and authenticates the uplink acceptance information by the user network node.
8. The intelligent ward acceptance management system for intelligent buildings according to claim 7, characterized in that: and the early warning information generation module comprehensively analyzes the final acceptance result of the acceptance project and generates acceptance early warning information according to the difference between the detection data and the acceptance rule and the acceptance qualification proportion of the detection data.
9. The intelligent ward acceptance management system for intelligent buildings according to claim 7 or 8, characterized in that: the device also comprises an actual measurement data receiving module used for receiving the actual measurement data sent on site and a detection data replacing module used for replacing the detection data with the actual measurement data.
10. The intelligent ward acceptance management system for intelligent buildings according to claim 2 or 7, characterized in that: the block chain comprises a data encryption module and a data decryption module, the data encryption module encrypts the uplink data through a public key of the authenticator, and the authenticator decrypts the data on the chain through a private key and authenticates the decrypted data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110795785.6A CN113537765A (en) | 2021-07-14 | 2021-07-14 | Intelligent supervision acceptance management system for intelligent building |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110795785.6A CN113537765A (en) | 2021-07-14 | 2021-07-14 | Intelligent supervision acceptance management system for intelligent building |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114782028A (en) * | 2022-06-20 | 2022-07-22 | 广州智建云信息技术有限公司 | Intelligent checking method and platform |
| CN115409395A (en) * | 2022-09-06 | 2022-11-29 | 河南正海实业有限公司 | Quality acceptance inspection method and system for hydraulic construction engineering |
-
2021
- 2021-07-14 CN CN202110795785.6A patent/CN113537765A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114782028A (en) * | 2022-06-20 | 2022-07-22 | 广州智建云信息技术有限公司 | Intelligent checking method and platform |
| CN115409395A (en) * | 2022-09-06 | 2022-11-29 | 河南正海实业有限公司 | Quality acceptance inspection method and system for hydraulic construction engineering |
| CN115409395B (en) * | 2022-09-06 | 2023-08-08 | 河南正海实业有限公司 | Quality acceptance inspection method and system for hydraulic construction engineering |
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