CN113888005A - Building design dynamic process management system and method - Google Patents

Building design dynamic process management system and method Download PDF

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CN113888005A
CN113888005A CN202111220285.6A CN202111220285A CN113888005A CN 113888005 A CN113888005 A CN 113888005A CN 202111220285 A CN202111220285 A CN 202111220285A CN 113888005 A CN113888005 A CN 113888005A
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陈丽虹
夏勇
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Shenzhen Shenzhu International Architectural Design Co ltd
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Abstract

The invention provides a building design dynamic process management system and a method, wherein the system comprises: the analysis module is used for acquiring a plurality of building design items, carrying out flow analysis on the building design items to acquire a plurality of first flows, and acquiring at least one first executor corresponding to the first flows; the evaluation module is used for acquiring the behavior information of the first executor, and performing behavior evaluation on the behavior information to obtain an evaluation result; and the processing module is used for carrying out corresponding processing on the first executive person based on the evaluation result. The building design dynamic process management system and the method perform process analysis on the building design item, determine the first executor corresponding to the first process obtained by the process analysis, acquire the behavior information of the first executor, perform behavior evaluation, perform corresponding processing on the first executor based on the evaluation result, realize supervision, do not need to employ professional personnel for supervision, and save the labor cost.

Description

Building design dynamic process management system and method
Technical Field
The invention relates to the technical field of building design dynamic process management, in particular to a building design dynamic process management system and method.
Background
At present, building design comprises a plurality of processes (such as customer demand understanding, site investigation, scheme design, site construction and the like), different processes are responsible for different executives, and the executives need to be supervised in the execution process, and most of traditional supervision methods use professional personnel for supervision, so that the labor cost is high;
therefore, a solution is needed.
Disclosure of Invention
One of the objectives of the present invention is to provide a system and a method for managing a dynamic process of building design, which perform process analysis on a building design item, determine a first executor corresponding to a first process obtained by the process analysis, obtain behavior information of the first executor, perform behavior evaluation, and perform corresponding processing on the first executor based on an evaluation result, so as to implement supervision without employing a professional to supervise, thereby saving labor cost.
The embodiment of the invention provides a building design dynamic process management system, which comprises:
the analysis module is used for acquiring a plurality of building design items, carrying out flow analysis on the building design items to acquire a plurality of first flows, and acquiring at least one first executor corresponding to the first flows;
the evaluation module is used for acquiring the behavior information of the first executor, and performing behavior evaluation on the behavior information to obtain an evaluation result;
and the processing module is used for carrying out corresponding processing on the first executive person based on the evaluation result.
Preferably, the evaluation module performs the following operations:
determining behavior information corresponding to the first executor based on a preset executor-behavior information base, wherein the behavior information comprises: at least one first action item;
acquiring an acquisition mode corresponding to the first behavior item, wherein the acquisition mode comprises the following steps: human and machine;
when the acquisition mode of the first behavior item is man-hour, acquiring at least one first acquirer corresponding to the first behavior item;
acquiring a first right value of the first acquirer, if the first right value is smaller than or equal to a preset first threshold value, taking the corresponding first acquirer as a second acquirer, and taking the rest first acquirers as third acquirers;
if the first number of the second acquirers is greater than or equal to 1 and the second number of the third acquirers is 0, determining an acquisition process of acquiring the first behavior item by the second acquirers based on a preset acquirer-acquisition process library, wherein the acquisition process comprises the following steps: the second acquisition device is used for acquiring three-dimensional information of the surrounding environment of the person corresponding to the plurality of time nodes;
constructing an acquisition site dynamic model based on the acquisition process;
attempting to identify a first profile of at least one supervisor supervising the first executive or a second profile of at least one instructor instructing the second collector in the collection site dynamic model based on a profile identification technique;
if the identification fails, removing the corresponding first action item;
if the identification is successful, determining the identity corresponding to the identified first profile and/or the identified second profile based on a preset wheel-identity library, and meanwhile, acquiring a second weight value corresponding to the identity;
if the second weight values are all smaller than or equal to a preset second threshold value, rejecting the corresponding first behavior item;
when the acquisition mode of the first behavior item is a machine, acquiring at least one first acquisition device corresponding to the first behavior item;
when the third number of the first acquisition equipment is 1, acquiring a first state value when the first acquisition equipment acquires the first behavior item, and if the first state value is less than or equal to a preset third threshold value, rejecting the corresponding first behavior item;
when the third number of the first acquisition equipment is greater than 1, acquiring a contribution value of the first acquisition equipment for acquiring the first behavior item, and if the contribution value is greater than or equal to a preset fourth threshold value, taking the corresponding first acquisition equipment as second acquisition equipment, and simultaneously taking the rest first acquisition equipment as third acquisition equipment;
acquiring a second state value of the first behavior item acquired by the second acquisition equipment, and acquiring a guarantee value of the third acquisition equipment guaranteed by the second acquisition equipment;
if the second state value is smaller than or equal to a preset fifth threshold value and/or the guarantee value is smaller than or equal to a preset sixth threshold value, rejecting the corresponding first action item;
when first behavior items needing to be removed in the first behavior items are all removed, taking the remaining first behavior items as second behavior items;
and integrating the second behavior items to obtain the behavior information of the first executor, and finishing the acquisition.
Preferably, the evaluation module performs the following operations:
acquiring a generation time point of a second behavior item in the behavior information;
sequencing the second behavior items according to a time sequence based on the generation time point to obtain a behavior item sequence;
traversing second behavior items from the starting point to the end point of the behavior item sequence in sequence;
performing feature analysis and extraction on the traversed second behavior item to obtain at least one first feature;
acquiring a preset standard feature library corresponding to the first process;
performing feature matching on the first feature and standard features in the standard feature library, if the first feature and the standard features in the standard feature library are matched, acquiring a first matching degree which is matched and matched, and meanwhile, taking the corresponding second behavior item as a third behavior item;
determining a first score corresponding to the standard feature matched with the first matching degree and the first matching degree based on a preset standard feature-matching degree-score library;
if the first matching degree is smaller than or equal to a preset seventh threshold value, associating the first score with the third behavior item;
otherwise, determining passive influence information corresponding to the matched and conformed standard features based on a preset standard feature-passive influence information base, wherein the passive influence information comprises: a passive direction of influence and at least one first characteristic of influence corresponding to the passive direction of influence, the passive direction of influence comprising: front and/or back;
selecting the second behavior item in the passive influence direction of the third behavior item in the behavior item sequence, and taking the second behavior item as a fourth behavior item;
performing feature analysis and extraction on the fourth behavioral item to obtain at least one second feature;
performing feature matching on the second feature and the corresponding first influence feature, if the matching is in accordance with the first influence feature, acquiring a second matching degree of the matching in accordance with the second influence feature, and meanwhile, taking the first influence feature in accordance with the matching as the second influence feature;
determining an adjusting strategy corresponding to the second influence characteristic and the second matching degree together based on a preset influence characteristic-matching degree-adjusting strategy library;
adjusting the first score based on the adjusting strategy to obtain a second score, and associating the second score with the corresponding third behavior item;
after traversing is finished, summarizing a first score and a second score associated with the third behavior item to obtain a score sum, and carrying out pairing combination on the score sum and the corresponding third behavior item to obtain a first evaluation item;
and integrating the first evaluation items to obtain an evaluation result and finish behavior evaluation.
Preferably, the processing module performs the following operations:
if the first score or the second score in the first evaluation item is smaller than or equal to a preset eighth threshold, taking the corresponding first evaluation item as a second evaluation item;
extracting the third behavior item in the second evaluation item as a fifth behavior item;
determining the first executive person corresponding to the fifth action item, and taking the first executive person as a second executive person;
acquiring a preset improved analysis model, inputting the fifth action item into the improved analysis model, and acquiring at least one first item to be improved;
constructing an item to be improved-improvement strategy library, and determining a first improvement strategy corresponding to the first item to be improved;
matching and combining the first improvement strategy and the corresponding fifth behavior item to obtain a pushing item;
and integrating the push items to obtain push information and pushing the push information to the second executor.
Preferably, the building design dynamic process management system further includes:
and the communication module is used for communicating between the first executives corresponding to different first procedures.
The embodiment of the invention provides a building design dynamic process management method, which comprises the following steps:
step S1: the method comprises the steps of obtaining a plurality of building design items, carrying out flow analysis on the building design items to obtain a plurality of first flows, and meanwhile obtaining at least one first executor corresponding to the first flows;
step S2: acquiring behavior information of the first executor, and performing behavior evaluation on the behavior information to obtain an evaluation result;
step S3: and correspondingly processing the first executive person based on the evaluation result.
Preferably, in step S2, the acquiring the behavior information of the first performer includes:
determining behavior information corresponding to the first executor based on a preset executor-behavior information base, wherein the behavior information comprises: at least one first action item;
acquiring an acquisition mode corresponding to the first behavior item, wherein the acquisition mode comprises the following steps: human and machine;
when the acquisition mode of the first behavior item is man-hour, acquiring at least one first acquirer corresponding to the first behavior item;
acquiring a first right value of the first acquirer, if the first right value is smaller than or equal to a preset first threshold value, taking the corresponding first acquirer as a second acquirer, and taking the rest first acquirers as third acquirers;
if the first number of the second acquirers is greater than or equal to 1 and the second number of the third acquirers is 0, determining an acquisition process of acquiring the first behavior item by the second acquirers based on a preset acquirer-acquisition process library, wherein the acquisition process comprises the following steps: the second acquisition device is used for acquiring three-dimensional information of the surrounding environment of the person corresponding to the plurality of time nodes;
constructing an acquisition site dynamic model based on the acquisition process;
attempting to identify a first profile of at least one supervisor supervising the first executive or a second profile of at least one instructor instructing the second collector in the collection site dynamic model based on a profile identification technique;
if the identification fails, removing the corresponding first action item;
if the identification is successful, determining the identity corresponding to the identified first profile and/or the identified second profile based on a preset wheel-identity library, and meanwhile, acquiring a second weight value corresponding to the identity;
if the second weight values are all smaller than or equal to a preset second threshold value, rejecting the corresponding first behavior item;
when the acquisition mode of the first behavior item is a machine, acquiring at least one first acquisition device corresponding to the first behavior item;
when the third number of the first acquisition equipment is 1, acquiring a first state value when the first acquisition equipment acquires the first behavior item, and if the first state value is less than or equal to a preset third threshold value, rejecting the corresponding first behavior item;
when the third number of the first acquisition equipment is greater than 1, acquiring a contribution value of the first acquisition equipment for acquiring the first behavior item, and if the contribution value is greater than or equal to a preset fourth threshold value, taking the corresponding first acquisition equipment as second acquisition equipment, and simultaneously taking the rest first acquisition equipment as third acquisition equipment;
acquiring a second state value of the first behavior item acquired by the second acquisition equipment, and acquiring a guarantee value of the third acquisition equipment guaranteed by the second acquisition equipment;
if the second state value is smaller than or equal to a preset fifth threshold value and/or the guarantee value is smaller than or equal to a preset sixth threshold value, rejecting the corresponding first action item;
when first behavior items needing to be removed in the first behavior items are all removed, taking the remaining first behavior items as second behavior items;
and integrating the second behavior items to obtain the behavior information of the first executor, and finishing the acquisition.
Preferably, in step S2, the behavior evaluation of the behavior information to obtain an evaluation result includes:
acquiring a generation time point of a second behavior item in the behavior information;
sequencing the second behavior items according to a time sequence based on the generation time point to obtain a behavior item sequence;
traversing second behavior items from the starting point to the end point of the behavior item sequence in sequence;
performing feature analysis and extraction on the traversed second behavior item to obtain at least one first feature;
acquiring a preset standard feature library corresponding to the first process;
performing feature matching on the first feature and standard features in the standard feature library, if the first feature and the standard features in the standard feature library are matched, acquiring a first matching degree which is matched and matched, and meanwhile, taking the corresponding second behavior item as a third behavior item;
determining a first score corresponding to the standard feature matched with the first matching degree and the first matching degree based on a preset standard feature-matching degree-score library;
if the first matching degree is smaller than or equal to a preset seventh threshold value, associating the first score with the third behavior item;
otherwise, determining passive influence information corresponding to the matched and conformed standard features based on a preset standard feature-passive influence information base, wherein the passive influence information comprises: a passive direction of influence and at least one first characteristic of influence corresponding to the passive direction of influence, the passive direction of influence comprising: front and/or back;
selecting the second behavior item in the passive influence direction of the third behavior item in the behavior item sequence, and taking the second behavior item as a fourth behavior item;
performing feature analysis and extraction on the fourth behavioral item to obtain at least one second feature;
performing feature matching on the second feature and the corresponding first influence feature, if the matching is in accordance with the first influence feature, acquiring a second matching degree of the matching in accordance with the second influence feature, and meanwhile, taking the first influence feature in accordance with the matching as the second influence feature;
determining an adjusting strategy corresponding to the second influence characteristic and the second matching degree together based on a preset influence characteristic-matching degree-adjusting strategy library;
adjusting the first score based on the adjusting strategy to obtain a second score, and associating the second score with the corresponding third behavior item;
after traversing is finished, summarizing a first score and a second score associated with the third behavior item to obtain a score sum, and carrying out pairing combination on the score sum and the corresponding third behavior item to obtain a first evaluation item;
and integrating the first evaluation items to obtain an evaluation result and finish behavior evaluation.
Preferably, in step S3, based on the evaluation result, performing corresponding processing on the first human actor includes:
if the first score or the second score in the first evaluation item is smaller than or equal to a preset eighth threshold, taking the corresponding first evaluation item as a second evaluation item;
extracting the third behavior item in the second evaluation item as a fifth behavior item;
determining the first executive person corresponding to the fifth action item, and taking the first executive person as a second executive person;
acquiring a preset improved analysis model, inputting the fifth action item into the improved analysis model, and acquiring at least one first item to be improved;
constructing an item to be improved-improvement strategy library, and determining a first improvement strategy corresponding to the first item to be improved;
matching and combining the first improvement strategy and the corresponding fifth behavior item to obtain a pushing item;
and integrating the push items to obtain push information and pushing the push information to the second executor.
Preferably, the building design dynamic process management method further includes:
and the first executives corresponding to different first processes can communicate with each other.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a building design dynamic process management system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for dynamic process management of architectural design according to an embodiment of the present invention;
fig. 3 is a flowchart of another dynamic process management method for building design according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a building design dynamic process management system, as shown in fig. 1, comprising:
the analysis module 1 is used for acquiring a plurality of building design items, performing flow analysis on the building design items to acquire a plurality of first flows, and acquiring at least one first executor corresponding to the first flows;
the evaluation module 2 is used for acquiring the behavior information of the first executor, performing behavior evaluation on the behavior information and acquiring an evaluation result;
and the processing module 3 is used for carrying out corresponding processing on the first executive person based on the evaluation result.
The working principle and the beneficial effects of the technical scheme are as follows:
the method comprises the steps of obtaining a plurality of building design items (building design items including specific building design processes), carrying out process analysis on the building design items, obtaining a plurality of first processes (for example, knowing customer requirements, on-site investigation and the like), and obtaining at least one first executor corresponding to the first processes (for example, personnel in butt joint with customers, on-site constructors, designers and the like); acquiring behavior information of a first executor (for example, what things are done corresponding to architectural design items), performing behavior evaluation on the behavior information (for example, whether internal tasks are completed or not), and acquiring an evaluation result; based on the evaluation result, the first executor is correspondingly processed (for example, if the completion is not up to the standard, reminding and suggesting are timely carried out);
the embodiment of the invention performs flow analysis on the architectural design item, determines the first executor corresponding to the first flow obtained by the flow analysis, obtains the behavior information of the first executor, performs behavior evaluation, performs corresponding processing on the first executor based on the evaluation result, realizes supervision, does not need to employ professional personnel for supervision, and saves the labor cost.
The embodiment of the invention provides a building design dynamic process management system, wherein an evaluation module 2 executes the following operations:
determining behavior information corresponding to the first executor based on a preset executor-behavior information base, wherein the behavior information comprises: at least one first action item;
acquiring an acquisition mode corresponding to the first behavior item, wherein the acquisition mode comprises the following steps: human and machine;
when the acquisition mode of the first behavior item is man-hour, acquiring at least one first acquirer corresponding to the first behavior item;
acquiring a first right value of the first acquirer, if the first right value is smaller than or equal to a preset first threshold value, taking the corresponding first acquirer as a second acquirer, and taking the rest first acquirers as third acquirers;
if the first number of the second acquirers is greater than or equal to 1 and the second number of the third acquirers is 0, determining an acquisition process of acquiring the first behavior item by the second acquirers based on a preset acquirer-acquisition process library, wherein the acquisition process comprises the following steps: the second acquisition device is used for acquiring three-dimensional information of the surrounding environment of the person corresponding to the plurality of time nodes;
constructing an acquisition site dynamic model based on the acquisition process;
attempting to identify a first profile of at least one supervisor supervising the first executive or a second profile of at least one instructor instructing the second collector in the collection site dynamic model based on a profile identification technique;
if the identification fails, removing the corresponding first action item;
if the identification is successful, determining the identity corresponding to the identified first profile and/or the identified second profile based on a preset wheel-identity library, and meanwhile, acquiring a second weight value corresponding to the identity;
if the second weight values are all smaller than or equal to a preset second threshold value, rejecting the corresponding first behavior item;
when the acquisition mode of the first behavior item is a machine, acquiring at least one first acquisition device corresponding to the first behavior item;
when the third number of the first acquisition equipment is 1, acquiring a first state value when the first acquisition equipment acquires the first behavior item, and if the first state value is less than or equal to a preset third threshold value, rejecting the corresponding first behavior item;
when the third number of the first acquisition equipment is greater than 1, acquiring a contribution value of the first acquisition equipment for acquiring the first behavior item, and if the contribution value is greater than or equal to a preset fourth threshold value, taking the corresponding first acquisition equipment as second acquisition equipment, and simultaneously taking the rest first acquisition equipment as third acquisition equipment;
acquiring a second state value of the first behavior item acquired by the second acquisition equipment, and acquiring a guarantee value of the third acquisition equipment guaranteed by the second acquisition equipment;
if the second state value is smaller than or equal to a preset fifth threshold value and/or the guarantee value is smaller than or equal to a preset sixth threshold value, rejecting the corresponding first action item;
when first behavior items needing to be removed in the first behavior items are all removed, taking the remaining first behavior items as second behavior items;
and integrating the second behavior items to obtain the behavior information of the first executor, and finishing the acquisition.
The working principle and the beneficial effects of the technical scheme are as follows:
determining behavior information corresponding to a first executor based on a preset executor-behavior information base (a database containing behavior information corresponding to different executives, wherein the behavior information is specifically, for example, what things are done corresponding to architectural design items), and the behavior information contains at least one first behavior item (for example, construction behavior); the collection mode of the first action item is divided into manual operation (for example, setting personnel to patrol a construction site and collect the actions of different first executors) and machine operation (for example, installing camera equipment on the construction site and collecting the actions based on a video recognition technology); when the collection mode is man-hour, determining a corresponding first collector; acquiring a first authority value of a first acquirer (the authority value can be determined based on work experience of the acquirer, the larger the work experience is, the larger the authority value is), and if the first authority value is smaller than or equal to a preset first threshold (for example: 7), taking the corresponding first acquirer as a second acquirer and the rest first acquirers as third acquirers; when the first number of the second acquirers is more than or equal to 1 and the second number of the third acquirers is 0, the first acquirers do not have enough authority, the acquired first action item is not credible, and the first action item is rejected; however, in an actual application scenario, a first acquirer has a possibility of being guided (for example, old people and new people), a first executor also has a possibility of being managed, and based on a preset acquirer-acquisition process library (including acquisition processes of acquisition behavior items of different acquirers, wherein the acquisition process is specifically to acquire three-dimensional information of the surrounding environment of the acquirer, set a millimeter wave radar sensor in a handheld terminal of the acquirer to perform acquisition), determine that a second acquirer acquires an acquisition process corresponding to a first behavior item; constructing an acquisition field dynamic model (the three-dimensional information corresponds to different time nodes, and the dynamic three-dimensional model is constructed based on the three-dimensional information of the different time nodes, belongs to the prior art and is not described again); based on a contour identification technology, a first contour of a first supervisor is identified in a constant manner (for example, firstly, the contour of a first executive is determined based on a contour matching technology, then, the contour of the first executive is judged to exist all the time and the face faces to a certain contour of the first executive), or a second contour of a first director (for example, firstly, the contour of a second collector is determined based on the contour matching technology, then, the contour of the second collector is judged to exist all the time and the face faces to a certain contour of the second collector), if the determination is successful, a corresponding identity is determined based on a preset contour-identity library (a database containing identities corresponding to different three-dimensional contours), a second weight limit value is obtained, and if the second weight limit value is smaller than or equal to a preset second threshold value (for example, 10), the corresponding first action item is removed without supervision or guidance capability; when the collection mode is machine, determining a first collection device (for example, a camera), acquiring a first state value of a first behavior item collected by the first collection device (which can be determined based on operating environment factors and the like, wherein the larger the state value is, the better the state is), and if the first state value is less than or equal to a preset third threshold (for example, 90), removing the corresponding first behavior item; if the number of the first acquisition devices is multiple, the first behavior item is acquired by a combination of the multiple first acquisition devices, a contribution value is obtained (the contribution value is determined based on the number of acquired data occupying the first behavior item, and the larger the contribution value is, the larger the acquisition ratio is), if the contribution value is greater than or equal to a preset fourth threshold value (for example: 60), the corresponding first acquisition device is used as a second acquisition device, the rest of the main acquisition devices are used, and meanwhile, the rest of the first acquisition devices are used as third acquisition devices which are secondary acquisition devices; typically, the first behavioural items are each acquired by a single first acquisition device, for example: the camera collects behavior information, the system only needs to be in butt joint with a main camera of a construction site, however, the main camera may have a blind area, and needs to be in butt joint with other cameras of the construction site in order to ensure comprehensiveness of behavior collection, and cost is high, so that the embodiment of the invention is provided with a guarantee system, and the other cameras can transmit collected behaviors to the main camera; therefore, a guarantee value that the primary collection device (the second collection device) guarantees the third collection device is determined (the greater the guarantee value is, the greater the guarantee degree is); if the second state value is less than or equal to a preset fifth threshold (for example: 92) and/or the guarantee value is less than or equal to a preset sixth threshold (for example: 95), rejecting the corresponding first action item; integrating and removing the remaining second behavior items to obtain behavior information of the first executor;
after determining a first action item corresponding to a first executor, verifying the first action item based on the acquisition mode of the first action item respectively, and deciding whether to eliminate the first action item, so that the accuracy of acquiring the action information of the first executor is ensured; meanwhile, the special condition that the right of the acquisition person is insufficient but the first executive person is supervised and/or the acquisition person is guided is considered, the setting is reasonable, the mistaken elimination of the insufficient right of the acquisition person is avoided, and the intelligent management system is more intelligent; in addition, when more than one collecting device is collected by the machine, the main device is determined based on the contribution value, and the main device guarantees the rest devices to collect behaviors, so that the cost of the devices in butt joint with all the collecting devices is saved.
The embodiment of the invention provides a building design dynamic process management system, wherein an evaluation module 2 executes the following operations:
acquiring a generation time point of a second behavior item in the behavior information;
sequencing the second behavior items according to a time sequence based on the generation time point to obtain a behavior item sequence;
traversing second behavior items from the starting point to the end point of the behavior item sequence in sequence;
performing feature analysis and extraction on the traversed second behavior item to obtain at least one first feature;
acquiring a preset standard feature library corresponding to the first process;
performing feature matching on the first feature and standard features in the standard feature library, if the first feature and the standard features in the standard feature library are matched, acquiring a first matching degree which is matched and matched, and meanwhile, taking the corresponding second behavior item as a third behavior item;
determining a first score corresponding to the standard feature matched with the first matching degree and the first matching degree based on a preset standard feature-matching degree-score library;
if the first matching degree is smaller than or equal to a preset seventh threshold value, associating the first score with the third behavior item;
otherwise, determining passive influence information corresponding to the matched and conformed standard features based on a preset standard feature-passive influence information base, wherein the passive influence information comprises: a passive direction of influence and at least one first characteristic of influence corresponding to the passive direction of influence, the passive direction of influence comprising: front and/or back;
selecting the second behavior item in the passive influence direction of the third behavior item in the behavior item sequence, and taking the second behavior item as a fourth behavior item;
performing feature analysis and extraction on the fourth behavioral item to obtain at least one second feature;
performing feature matching on the second feature and the corresponding first influence feature, if the matching is in accordance with the first influence feature, acquiring a second matching degree of the matching in accordance with the second influence feature, and meanwhile, taking the first influence feature in accordance with the matching as the second influence feature;
determining an adjusting strategy corresponding to the second influence characteristic and the second matching degree together based on a preset influence characteristic-matching degree-adjusting strategy library;
adjusting the first score based on the adjusting strategy to obtain a second score, and associating the second score with the corresponding third behavior item;
after traversing is finished, summarizing a first score and a second score associated with the third behavior item to obtain a score sum, and carrying out pairing combination on the score sum and the corresponding third behavior item to obtain a first evaluation item;
and integrating the first evaluation items to obtain an evaluation result and finish behavior evaluation.
The working principle and the beneficial effects of the technical scheme are as follows:
performing feature analysis and extraction on the traversed second behavior item to obtain a first feature; matching the first characteristic with a standard characteristic in a preset standard characteristic library (a database containing standard characteristics of behaviors which should be done by different process executors) corresponding to the first process, if the first characteristic is matched with the standard characteristic, determining a first matching degree, and determining a first score based on a preset standard characteristic-matching degree and a score library (a database containing scores corresponding to different standard characteristics and different matching degrees, generally speaking, the greater the matching degree is, the greater the score is), wherein the preset standard characteristic library comprises a plurality of standard characteristics; if the first score is less than or equal to a preset seventh threshold (for example, 10), the first person is indicated to be poor in performance; otherwise, determining passive influence information (although some behaviors are well performed, there is a behavior which affects the behavior, for example, surveying the recorded data on site, and then revoking the data, which indicates that the recorded data is wrong for the first time, and the influence mode is the later, the first influence characteristic is the revocation data) based on a preset standard characteristic-passive influence information base; selecting a fourth behavioral item to perform feature analysis and extraction to obtain a second feature; matching the second characteristic with the first influence characteristic, and if the second characteristic is matched with the first influence characteristic, indicating that influence really exists; determining an adjusting strategy corresponding to a second influence characteristic and a second matching degree based on a preset influence characteristic-matching degree-adjusting strategy library (comprising different influence characteristics and adjusting strategies corresponding to different matching degrees of a database, wherein the larger the influence degree of the influence characteristic is, the larger the matching degree is, and the more severe the adjusting strategy is, for example, the larger the degree of adjusting the first score downwards), and downwards adjusting the first score to obtain a second score; summarizing (summing up) the first score or the second score to obtain a score sum, pairing and combining the score sum with the third behavior item to obtain a first evaluation item, and integrating the first evaluation item to finish behavior evaluation;
the embodiment of the invention is provided with a standard feature library, determines a first score based on the first matching degree, determines whether passive influence analysis is carried out or not based on the size of the first score, determines passive influence information because the relevance of the processes and the influence between the processes exist, quickly selects a fourth action item based on the influence direction, determines whether passive influence exists or not, determines an adjustment strategy if the passive influence exists, adjusts the first score in time, is reasonable in setting, and improves the comprehensiveness of behavior evaluation.
The embodiment of the invention provides a building design dynamic process management system, wherein a processing module 3 executes the following operations:
if the first score or the second score in the first evaluation item is smaller than or equal to a preset eighth threshold, taking the corresponding first evaluation item as a second evaluation item;
extracting the third behavior item in the second evaluation item as a fifth behavior item;
determining the first executive person corresponding to the fifth action item, and taking the first executive person as a second executive person;
acquiring a preset improved analysis model, inputting the fifth action item into the improved analysis model, and acquiring at least one first item to be improved;
constructing an item to be improved-improvement strategy library, and determining a first improvement strategy corresponding to the first item to be improved;
matching and combining the first improvement strategy and the corresponding fifth behavior item to obtain a pushing item;
and integrating the push items to obtain push information and pushing the push information to the second executor.
The working principle and the beneficial effects of the technical scheme are as follows:
if the first score or the second score is smaller than a preset eighth threshold (for example: 85), taking the corresponding first evaluation item as a second evaluation item; determining a fifth behavior item, inputting the fifth behavior item into a preset improved analysis model (a model generated after learning a large amount of records of manual behavior improvement analysis by using a machine learning algorithm), and acquiring a first item to be improved (for example, field survey is not serious); based on the item to be improved, namely an improvement strategy library (including a database of first improvement strategies corresponding to different first items to be improved), determining the first improvement strategy corresponding to the first item to be improved (for example, measuring by using a multi-instrument combination), pairing and combining the first improvement strategy with the corresponding fifth action item to obtain a push item, integrating to obtain push information, pushing the push information to a second executor, facilitating the learning of the second executor and improving the second executor in time.
The embodiment of the invention provides a building design dynamic process management system, wherein a processing module 3 executes the following operations:
acquiring a preset item set to be improved, wherein the item set to be improved comprises: a plurality of second items to be improved;
acquiring at least one second improvement strategy corresponding to the second item to be improved;
acquiring at least one first evaluation value subjected to forward evaluation of the second improvement strategy;
acquiring at least one second evaluation value of the second improvement strategy subjected to reverse evaluation;
calculating a determination index based on the first evaluation value and the second evaluation value, the calculation formula being as follows:
Figure BDA0003312327300000161
wherein γ is the determination index, σ1And σ2Is a preset weight value, alphaiThe ith first evaluation value n subjected to forward evaluation for the second improvement strategy1Is the total number of the first evaluation values,βiAn i-th second evaluation value, n, which is subjected to reverse evaluation for the second improvement strategy2Is the total number of the second evaluation values;
matching and combining the second improvement strategy corresponding to the maximum judgment index and the corresponding second item to be improved to obtain a control group;
acquiring a preset blank database, and storing the control group into the blank database;
and when the control groups needing to be stored in the blank database are all stored, taking the blank database as an item to be improved, namely an improvement strategy library, and completing construction.
The working principle and the beneficial effects of the technical scheme are as follows:
acquiring a first evaluation value (the larger the first evaluation value is, the better the effect is) of the second improvement strategy subjected to forward evaluation (for example, the executive compares the improvement strategy with the self insufficient behavior in a forward direction), and acquiring a second evaluation value (the larger the second evaluation value is, the better the effect is) of the second improvement strategy subjected to reverse evaluation (for example, the effect of the improvement strategy is deduced reversely based on the implemented effect); and calculating a judgment index based on the first evaluation value and the second evaluation value (in the formula, both the first evaluation value and the second evaluation value are in positive correlation with the judgment index), wherein the larger the judgment index is, the better the second improvement strategy is, and selecting the second improvement strategy corresponding to the maximum judgment index to be paired and combined with the second item to be improved to be stored in a preset blank database.
The embodiment of the invention provides a building design dynamic process management system, which further comprises:
and the communication module is used for communicating between the first executives corresponding to different first procedures.
The working principle and the beneficial effects of the technical scheme are as follows:
providing intimate communication between first executives corresponding to different first processes of the architectural design, such as: and setting an alternating current area.
The embodiment of the invention provides a building design dynamic process management method, as shown in fig. 2, comprising the following steps:
step S1: the method comprises the steps of obtaining a plurality of building design items, carrying out flow analysis on the building design items to obtain a plurality of first flows, and meanwhile obtaining at least one first executor corresponding to the first flows;
step S2: acquiring behavior information of the first executor, and performing behavior evaluation on the behavior information to obtain an evaluation result;
step S3: and correspondingly processing the first executive person based on the evaluation result.
The working principle and the beneficial effects of the technical scheme are as follows:
the method comprises the steps of obtaining a plurality of building design items (building design items including specific building design processes), carrying out process analysis on the building design items, obtaining a plurality of first processes (for example, knowing customer requirements, on-site investigation and the like), and obtaining at least one first executor corresponding to the first processes (for example, personnel in butt joint with customers, on-site constructors, designers and the like); acquiring behavior information of a first executor (for example, what things are done corresponding to architectural design items), performing behavior evaluation on the behavior information (for example, whether internal tasks are completed or not), and acquiring an evaluation result; based on the evaluation result, the first executor is correspondingly processed (for example, if the completion is not up to the standard, reminding and suggesting are timely carried out);
the embodiment of the invention performs flow analysis on the architectural design item, determines the first executor corresponding to the first flow obtained by the flow analysis, obtains the behavior information of the first executor, performs behavior evaluation, performs corresponding processing on the first executor based on the evaluation result, realizes supervision, does not need to employ professional personnel for supervision, and saves the labor cost.
The embodiment of the present invention provides a method for managing a dynamic process of architectural design, where in step S2, acquiring behavior information of the first executor includes:
determining behavior information corresponding to the first executor based on a preset executor-behavior information base, wherein the behavior information comprises: at least one first action item;
acquiring an acquisition mode corresponding to the first behavior item, wherein the acquisition mode comprises the following steps: human and machine;
when the acquisition mode of the first behavior item is man-hour, acquiring at least one first acquirer corresponding to the first behavior item;
acquiring a first right value of the first acquirer, if the first right value is smaller than or equal to a preset first threshold value, taking the corresponding first acquirer as a second acquirer, and taking the rest first acquirers as third acquirers;
if the first number of the second acquirers is greater than or equal to 1 and the second number of the third acquirers is 0, determining an acquisition process of acquiring the first behavior item by the second acquirers based on a preset acquirer-acquisition process library, wherein the acquisition process comprises the following steps: the second acquisition device is used for acquiring three-dimensional information of the surrounding environment of the person corresponding to the plurality of time nodes;
constructing an acquisition site dynamic model based on the acquisition process;
attempting to identify a first profile of at least one supervisor supervising the first executive or a second profile of at least one instructor instructing the second collector in the collection site dynamic model based on a profile identification technique;
if the identification fails, removing the corresponding first action item;
if the identification is successful, determining the identity corresponding to the identified first profile and/or the identified second profile based on a preset wheel-identity library, and meanwhile, acquiring a second weight value corresponding to the identity;
if the second weight values are all smaller than or equal to a preset second threshold value, rejecting the corresponding first behavior item;
when the acquisition mode of the first behavior item is a machine, acquiring at least one first acquisition device corresponding to the first behavior item;
when the third number of the first acquisition equipment is 1, acquiring a first state value when the first acquisition equipment acquires the first behavior item, and if the first state value is less than or equal to a preset third threshold value, rejecting the corresponding first behavior item;
when the third number of the first acquisition equipment is greater than 1, acquiring a contribution value of the first acquisition equipment for acquiring the first behavior item, and if the contribution value is greater than or equal to a preset fourth threshold value, taking the corresponding first acquisition equipment as second acquisition equipment, and simultaneously taking the rest first acquisition equipment as third acquisition equipment;
acquiring a second state value of the first behavior item acquired by the second acquisition equipment, and acquiring a guarantee value of the third acquisition equipment guaranteed by the second acquisition equipment;
if the second state value is smaller than or equal to a preset fifth threshold value and/or the guarantee value is smaller than or equal to a preset sixth threshold value, rejecting the corresponding first action item;
when first behavior items needing to be removed in the first behavior items are all removed, taking the remaining first behavior items as second behavior items;
and integrating the second behavior items to obtain the behavior information of the first executor, and finishing the acquisition.
The working principle and the beneficial effects of the technical scheme are as follows:
determining behavior information corresponding to a first executor based on a preset executor-behavior information base (a database containing behavior information corresponding to different executives, wherein the behavior information is specifically, for example, what things are done corresponding to architectural design items), and the behavior information contains at least one first behavior item (for example, construction behavior); the collection mode of the first action item is divided into manual operation (for example, setting personnel to patrol a construction site and collect the actions of different first executors) and machine operation (for example, installing camera equipment on the construction site and collecting the actions based on a video recognition technology); when the collection mode is man-hour, determining a corresponding first collector; acquiring a first authority value of a first acquirer (the authority value can be determined based on work experience of the acquirer, the larger the work experience is, the larger the authority value is), and if the first authority value is smaller than or equal to a preset first threshold (for example: 7), taking the corresponding first acquirer as a second acquirer and the rest first acquirers as third acquirers; when the first number of the second acquirers is more than or equal to 1 and the second number of the third acquirers is 0, the first acquirers do not have enough authority, the acquired first action item is not credible, and the first action item is rejected; however, in an actual application scenario, a first acquirer has a possibility of being guided (for example, old people and new people), a first executor also has a possibility of being managed, and based on a preset acquirer-acquisition process library (including acquisition processes of acquisition behavior items of different acquirers, wherein the acquisition process is specifically to acquire three-dimensional information of the surrounding environment of the acquirer, set a millimeter wave radar sensor in a handheld terminal of the acquirer to perform acquisition), determine that a second acquirer acquires an acquisition process corresponding to a first behavior item; constructing an acquisition field dynamic model (the three-dimensional information corresponds to different time nodes, and the dynamic three-dimensional model is constructed based on the three-dimensional information of the different time nodes, belongs to the prior art and is not described again); based on a contour identification technology, a first contour of a first supervisor is identified in a constant manner (for example, firstly, the contour of a first executive is determined based on a contour matching technology, then, the contour of the first executive is judged to exist all the time and the face faces to a certain contour of the first executive), or a second contour of a first director (for example, firstly, the contour of a second collector is determined based on the contour matching technology, then, the contour of the second collector is judged to exist all the time and the face faces to a certain contour of the second collector), if the determination is successful, a corresponding identity is determined based on a preset contour-identity library (a database containing identities corresponding to different three-dimensional contours), a second weight limit value is obtained, and if the second weight limit value is smaller than or equal to a preset second threshold value (for example, 10), the corresponding first action item is removed without supervision or guidance capability; when the collection mode is machine, determining a first collection device (for example, a camera), acquiring a first state value of a first behavior item collected by the first collection device (which can be determined based on operating environment factors and the like, wherein the larger the state value is, the better the state is), and if the first state value is less than or equal to a preset third threshold (for example, 90), removing the corresponding first behavior item; if the number of the first acquisition devices is multiple, the first behavior item is acquired by a combination of the multiple first acquisition devices, a contribution value is obtained (the contribution value is determined based on the number of acquired data occupying the first behavior item, and the larger the contribution value is, the larger the acquisition ratio is), if the contribution value is greater than or equal to a preset fourth threshold value (for example: 60), the corresponding first acquisition device is used as a second acquisition device, the rest of the main acquisition devices are used, and meanwhile, the rest of the first acquisition devices are used as third acquisition devices which are secondary acquisition devices; typically, the first behavioural items are each acquired by a single first acquisition device, for example: the camera collects behavior information, the system only needs to be in butt joint with a main camera of a construction site, however, the main camera may have a blind area, and needs to be in butt joint with other cameras of the construction site in order to ensure comprehensiveness of behavior collection, and cost is high, so that the embodiment of the invention is provided with a guarantee system, and the other cameras can transmit collected behaviors to the main camera; therefore, a guarantee value that the primary collection device (the second collection device) guarantees the third collection device is determined (the greater the guarantee value is, the greater the guarantee degree is); if the second state value is less than or equal to a preset fifth threshold (for example: 92) and/or the guarantee value is less than or equal to a preset sixth threshold (for example: 95), rejecting the corresponding first action item; integrating and removing the remaining second behavior items to obtain behavior information of the first executor;
after determining a first action item corresponding to a first executor, verifying the first action item based on the acquisition mode of the first action item respectively, and deciding whether to eliminate the first action item, so that the accuracy of acquiring the action information of the first executor is ensured; meanwhile, the special condition that the right of the acquisition person is insufficient but the first executive person is supervised and/or the acquisition person is guided is considered, the setting is reasonable, the mistaken elimination of the insufficient right of the acquisition person is avoided, and the intelligent management system is more intelligent; in addition, when more than one collecting device is collected by the machine, the main device is determined based on the contribution value, and the main device guarantees the rest devices to collect behaviors, so that the cost of the devices in butt joint with all the collecting devices is saved.
The embodiment of the present invention provides a method for managing a dynamic process of architectural design, where in step S2, performing behavior evaluation on the behavior information to obtain an evaluation result, where the method includes:
acquiring a generation time point of a second behavior item in the behavior information;
sequencing the second behavior items according to a time sequence based on the generation time point to obtain a behavior item sequence;
traversing second behavior items from the starting point to the end point of the behavior item sequence in sequence;
performing feature analysis and extraction on the traversed second behavior item to obtain at least one first feature;
acquiring a preset standard feature library corresponding to the first process;
performing feature matching on the first feature and standard features in the standard feature library, if the first feature and the standard features in the standard feature library are matched, acquiring a first matching degree which is matched and matched, and meanwhile, taking the corresponding second behavior item as a third behavior item;
determining a first score corresponding to the standard feature matched with the first matching degree and the first matching degree based on a preset standard feature-matching degree-score library;
if the first matching degree is smaller than or equal to a preset seventh threshold value, associating the first score with the third behavior item;
otherwise, determining passive influence information corresponding to the matched and conformed standard features based on a preset standard feature-passive influence information base, wherein the passive influence information comprises: a passive direction of influence and at least one first characteristic of influence corresponding to the passive direction of influence, the passive direction of influence comprising: front and/or back;
selecting the second behavior item in the passive influence direction of the third behavior item in the behavior item sequence, and taking the second behavior item as a fourth behavior item;
performing feature analysis and extraction on the fourth behavioral item to obtain at least one second feature;
performing feature matching on the second feature and the corresponding first influence feature, if the matching is in accordance with the first influence feature, acquiring a second matching degree of the matching in accordance with the second influence feature, and meanwhile, taking the first influence feature in accordance with the matching as the second influence feature;
determining an adjusting strategy corresponding to the second influence characteristic and the second matching degree together based on a preset influence characteristic-matching degree-adjusting strategy library;
adjusting the first score based on the adjusting strategy to obtain a second score, and associating the second score with the corresponding third behavior item;
after traversing is finished, summarizing a first score and a second score associated with the third behavior item to obtain a score sum, and carrying out pairing combination on the score sum and the corresponding third behavior item to obtain a first evaluation item;
and integrating the first evaluation items to obtain an evaluation result and finish behavior evaluation.
The working principle and the beneficial effects of the technical scheme are as follows:
performing feature analysis and extraction on the traversed second behavior item to obtain a first feature; matching the first characteristic with a standard characteristic in a preset standard characteristic library (a database containing standard characteristics of behaviors which should be done by different process executors) corresponding to the first process, if the first characteristic is matched with the standard characteristic, determining a first matching degree, and determining a first score based on a preset standard characteristic-matching degree and a score library (a database containing scores corresponding to different standard characteristics and different matching degrees, generally speaking, the greater the matching degree is, the greater the score is), wherein the preset standard characteristic library comprises a plurality of standard characteristics; if the first score is less than or equal to a preset seventh threshold (for example, 10), the first person is indicated to be poor in performance; otherwise, determining passive influence information (although some behaviors are well performed, there is a behavior which affects the behavior, for example, surveying the recorded data on site, and then revoking the data, which indicates that the recorded data is wrong for the first time, and the influence mode is the later, the first influence characteristic is the revocation data) based on a preset standard characteristic-passive influence information base; selecting a fourth behavioral item to perform feature analysis and extraction to obtain a second feature; matching the second characteristic with the first influence characteristic, and if the second characteristic is matched with the first influence characteristic, indicating that influence really exists; determining an adjusting strategy corresponding to a second influence characteristic and a second matching degree based on a preset influence characteristic-matching degree-adjusting strategy library (comprising different influence characteristics and adjusting strategies corresponding to different matching degrees of a database, wherein the larger the influence degree of the influence characteristic is, the larger the matching degree is, and the more severe the adjusting strategy is, for example, the larger the degree of adjusting the first score downwards), and downwards adjusting the first score to obtain a second score; summarizing (summing up) the first score or the second score to obtain a score sum, pairing and combining the score sum with the third behavior item to obtain a first evaluation item, and integrating the first evaluation item to finish behavior evaluation;
the embodiment of the invention is provided with a standard feature library, determines a first score based on the first matching degree, determines whether passive influence analysis is carried out or not based on the size of the first score, determines passive influence information because the relevance of the processes and the influence between the processes exist, quickly selects a fourth action item based on the influence direction, determines whether passive influence exists or not, determines an adjustment strategy if the passive influence exists, adjusts the first score in time, is reasonable in setting, and improves the comprehensiveness of behavior evaluation.
The embodiment of the present invention provides a method for managing a dynamic process of architectural design, where in step S3, based on the evaluation result, the corresponding processing is performed on the first executor, where the method includes:
if the first score or the second score in the first evaluation item is smaller than or equal to a preset eighth threshold, taking the corresponding first evaluation item as a second evaluation item;
extracting the third behavior item in the second evaluation item as a fifth behavior item;
determining the first executive person corresponding to the fifth action item, and taking the first executive person as a second executive person;
acquiring a preset improved analysis model, inputting the fifth action item into the improved analysis model, and acquiring at least one first item to be improved;
constructing an item to be improved-improvement strategy library, and determining a first improvement strategy corresponding to the first item to be improved;
matching and combining the first improvement strategy and the corresponding fifth behavior item to obtain a pushing item;
and integrating the push items to obtain push information and pushing the push information to the second executor.
The working principle and the beneficial effects of the technical scheme are as follows:
if the first score or the second score is smaller than a preset eighth threshold (for example: 85), taking the corresponding first evaluation item as a second evaluation item; determining a fifth behavior item, inputting the fifth behavior item into a preset improved analysis model (a model generated after learning a large amount of records of manual behavior improvement analysis by using a machine learning algorithm), and acquiring a first item to be improved (for example, field survey is not serious); based on the item to be improved, namely an improvement strategy library (including a database of first improvement strategies corresponding to different first items to be improved), determining the first improvement strategy corresponding to the first item to be improved (for example, measuring by using a multi-instrument combination), pairing and combining the first improvement strategy with the corresponding fifth action item to obtain a push item, integrating to obtain push information, pushing the push information to a second executor, facilitating the learning of the second executor and improving the second executor in time.
The embodiment of the invention provides a building design dynamic process management method, which constructs an item to be improved, namely an improvement strategy library, and comprises the following steps:
acquiring a preset item set to be improved, wherein the item set to be improved comprises: a plurality of second items to be improved;
acquiring at least one second improvement strategy corresponding to the second item to be improved;
acquiring at least one first evaluation value subjected to forward evaluation of the second improvement strategy;
acquiring at least one second evaluation value of the second improvement strategy subjected to reverse evaluation;
calculating a determination index based on the first evaluation value and the second evaluation value, the calculation formula being as follows:
Figure BDA0003312327300000241
wherein γ is the determination index, σ1And σ2Is a preset weight value, alphaiThe ith first evaluation value n subjected to forward evaluation for the second improvement strategy1Is the total number of the first evaluation values, betaiAn i-th second evaluation value, n, which is subjected to reverse evaluation for the second improvement strategy2Is the total number of the second evaluation values;
matching and combining the second improvement strategy corresponding to the maximum judgment index and the corresponding second item to be improved to obtain a control group;
acquiring a preset blank database, and storing the control group into the blank database;
and when the control groups needing to be stored in the blank database are all stored, taking the blank database as an item to be improved, namely an improvement strategy library, and completing construction.
The working principle and the beneficial effects of the technical scheme are as follows:
acquiring a first evaluation value (the larger the first evaluation value is, the better the effect is) of the second improvement strategy subjected to forward evaluation (for example, the executive compares the improvement strategy with the self insufficient behavior in a forward direction), and acquiring a second evaluation value (the larger the second evaluation value is, the better the effect is) of the second improvement strategy subjected to reverse evaluation (for example, the effect of the improvement strategy is deduced reversely based on the implemented effect); and calculating a judgment index based on the first evaluation value and the second evaluation value (in the formula, both the first evaluation value and the second evaluation value are in positive correlation with the judgment index), wherein the larger the judgment index is, the better the second improvement strategy is, and selecting the second improvement strategy corresponding to the maximum judgment index to be paired and combined with the second item to be improved to be stored in a preset blank database.
The embodiment of the invention provides a building design dynamic process management method, as shown in fig. 3, further comprising:
step S4: and the first executives corresponding to different first processes can communicate with each other.
The working principle and the beneficial effects of the technical scheme are as follows:
providing intimate communication between first executives corresponding to different first processes of the architectural design, such as: and setting an alternating current area.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A building design dynamic process management system, comprising:
the analysis module is used for acquiring a plurality of building design items, carrying out flow analysis on the building design items to acquire a plurality of first flows, and acquiring at least one first executor corresponding to the first flows;
the evaluation module is used for acquiring the behavior information of the first executor, and performing behavior evaluation on the behavior information to obtain an evaluation result;
and the processing module is used for carrying out corresponding processing on the first executive person based on the evaluation result.
2. The system of claim 1, wherein the evaluation module performs the following operations:
determining behavior information corresponding to the first executor based on a preset executor-behavior information base, wherein the behavior information comprises: at least one first action item;
acquiring an acquisition mode corresponding to the first behavior item, wherein the acquisition mode comprises the following steps: human and machine;
when the acquisition mode of the first behavior item is man-hour, acquiring at least one first acquirer corresponding to the first behavior item;
acquiring a first right value of the first acquirer, if the first right value is smaller than or equal to a preset first threshold value, taking the corresponding first acquirer as a second acquirer, and taking the rest first acquirers as third acquirers;
if the first number of the second acquirers is greater than or equal to 1 and the second number of the third acquirers is 0, determining an acquisition process of acquiring the first behavior item by the second acquirers based on a preset acquirer-acquisition process library, wherein the acquisition process comprises the following steps: the second acquisition device is used for acquiring three-dimensional information of the surrounding environment of the person corresponding to the plurality of time nodes;
constructing an acquisition site dynamic model based on the acquisition process;
attempting to identify a first profile of at least one supervisor supervising the first executive or a second profile of at least one instructor instructing the second collector in the collection site dynamic model based on a profile identification technique;
if the identification fails, removing the corresponding first action item;
if the identification is successful, determining the identity corresponding to the identified first profile and/or the identified second profile based on a preset wheel-identity library, and meanwhile, acquiring a second weight value corresponding to the identity;
if the second weight values are all smaller than or equal to a preset second threshold value, rejecting the corresponding first behavior item;
when the acquisition mode of the first behavior item is a machine, acquiring at least one first acquisition device corresponding to the first behavior item;
when the third number of the first acquisition equipment is 1, acquiring a first state value when the first acquisition equipment acquires the first behavior item, and if the first state value is less than or equal to a preset third threshold value, rejecting the corresponding first behavior item;
when the third number of the first acquisition equipment is greater than 1, acquiring a contribution value of the first acquisition equipment for acquiring the first behavior item, and if the contribution value is greater than or equal to a preset fourth threshold value, taking the corresponding first acquisition equipment as second acquisition equipment, and simultaneously taking the rest first acquisition equipment as third acquisition equipment;
acquiring a second state value of the first behavior item acquired by the second acquisition equipment, and acquiring a guarantee value of the third acquisition equipment guaranteed by the second acquisition equipment;
if the second state value is smaller than or equal to a preset fifth threshold value and/or the guarantee value is smaller than or equal to a preset sixth threshold value, rejecting the corresponding first action item;
when first behavior items needing to be removed in the first behavior items are all removed, taking the remaining first behavior items as second behavior items;
and integrating the second behavior items to obtain the behavior information of the first executor, and finishing the acquisition.
3. The system of claim 2, wherein the evaluation module performs the following operations:
acquiring a generation time point of a second behavior item in the behavior information;
sequencing the second behavior items according to a time sequence based on the generation time point to obtain a behavior item sequence;
traversing second behavior items from the starting point to the end point of the behavior item sequence in sequence;
performing feature analysis and extraction on the traversed second behavior item to obtain at least one first feature;
acquiring a preset standard feature library corresponding to the first process;
performing feature matching on the first feature and standard features in the standard feature library, if the first feature and the standard features in the standard feature library are matched, acquiring a first matching degree which is matched and matched, and meanwhile, taking the corresponding second behavior item as a third behavior item;
determining a first score corresponding to the standard feature matched with the first matching degree and the first matching degree based on a preset standard feature-matching degree-score library;
if the first matching degree is smaller than or equal to a preset seventh threshold value, associating the first score with the third behavior item;
otherwise, determining passive influence information corresponding to the matched and conformed standard features based on a preset standard feature-passive influence information base, wherein the passive influence information comprises: a passive direction of influence and at least one first characteristic of influence corresponding to the passive direction of influence, the passive direction of influence comprising: front and/or back;
selecting the second behavior item in the passive influence direction of the third behavior item in the behavior item sequence, and taking the second behavior item as a fourth behavior item;
performing feature analysis and extraction on the fourth behavioral item to obtain at least one second feature;
performing feature matching on the second feature and the corresponding first influence feature, if the matching is in accordance with the first influence feature, acquiring a second matching degree of the matching in accordance with the second influence feature, and meanwhile, taking the first influence feature in accordance with the matching as the second influence feature;
determining an adjusting strategy corresponding to the second influence characteristic and the second matching degree together based on a preset influence characteristic-matching degree-adjusting strategy library;
adjusting the first score based on the adjusting strategy to obtain a second score, and associating the second score with the corresponding third behavior item;
after traversing is finished, summarizing a first score and a second score associated with the third behavior item to obtain a score sum, and carrying out pairing combination on the score sum and the corresponding third behavior item to obtain a first evaluation item;
and integrating the first evaluation items to obtain an evaluation result and finish behavior evaluation.
4. The system of claim 3, wherein the processing module performs the following operations:
if the first score or the second score in the first evaluation item is smaller than or equal to a preset eighth threshold, taking the corresponding first evaluation item as a second evaluation item;
extracting the third behavior item in the second evaluation item as a fifth behavior item;
determining the first executive person corresponding to the fifth action item, and taking the first executive person as a second executive person;
acquiring a preset improved analysis model, inputting the fifth action item into the improved analysis model, and acquiring at least one first item to be improved;
constructing an item to be improved-improvement strategy library, and determining a first improvement strategy corresponding to the first item to be improved;
matching and combining the first improvement strategy and the corresponding fifth behavior item to obtain a pushing item;
and integrating the push items to obtain push information and pushing the push information to the second executor.
5. The system for managing the dynamic process of architectural design according to claim 1, further comprising:
and the communication module is used for communicating between the first executives corresponding to different first procedures.
6. A building design dynamic process management method is characterized by comprising the following steps:
step S1: the method comprises the steps of obtaining a plurality of building design items, carrying out flow analysis on the building design items to obtain a plurality of first flows, and meanwhile obtaining at least one first executor corresponding to the first flows;
step S2: acquiring behavior information of the first executor, and performing behavior evaluation on the behavior information to obtain an evaluation result;
step S3: and correspondingly processing the first executive person based on the evaluation result.
7. The method for managing the dynamic process of building design according to claim 6, wherein in step S2, the obtaining the behavior information of the first executor comprises:
determining behavior information corresponding to the first executor based on a preset executor-behavior information base, wherein the behavior information comprises: at least one first action item;
acquiring an acquisition mode corresponding to the first behavior item, wherein the acquisition mode comprises the following steps: human and machine;
when the acquisition mode of the first behavior item is man-hour, acquiring at least one first acquirer corresponding to the first behavior item;
acquiring a first right value of the first acquirer, if the first right value is smaller than or equal to a preset first threshold value, taking the corresponding first acquirer as a second acquirer, and taking the rest first acquirers as third acquirers;
if the first number of the second acquirers is greater than or equal to 1 and the second number of the third acquirers is 0, determining an acquisition process of acquiring the first behavior item by the second acquirers based on a preset acquirer-acquisition process library, wherein the acquisition process comprises the following steps: the second acquisition device is used for acquiring three-dimensional information of the surrounding environment of the person corresponding to the plurality of time nodes;
constructing an acquisition site dynamic model based on the acquisition process;
attempting to identify a first profile of at least one supervisor supervising the first executive or a second profile of at least one instructor instructing the second collector in the collection site dynamic model based on a profile identification technique;
if the identification fails, removing the corresponding first action item;
if the identification is successful, determining the identity corresponding to the identified first profile and/or the identified second profile based on a preset wheel-identity library, and meanwhile, acquiring a second weight value corresponding to the identity;
if the second weight values are all smaller than or equal to a preset second threshold value, rejecting the corresponding first behavior item;
when the acquisition mode of the first behavior item is a machine, acquiring at least one first acquisition device corresponding to the first behavior item;
when the third number of the first acquisition equipment is 1, acquiring a first state value when the first acquisition equipment acquires the first behavior item, and if the first state value is less than or equal to a preset third threshold value, rejecting the corresponding first behavior item;
when the third number of the first acquisition equipment is greater than 1, acquiring a contribution value of the first acquisition equipment for acquiring the first behavior item, and if the contribution value is greater than or equal to a preset fourth threshold value, taking the corresponding first acquisition equipment as second acquisition equipment, and simultaneously taking the rest first acquisition equipment as third acquisition equipment;
acquiring a second state value of the first behavior item acquired by the second acquisition equipment, and acquiring a guarantee value of the third acquisition equipment guaranteed by the second acquisition equipment;
if the second state value is smaller than or equal to a preset fifth threshold value and/or the guarantee value is smaller than or equal to a preset sixth threshold value, rejecting the corresponding first action item;
when first behavior items needing to be removed in the first behavior items are all removed, taking the remaining first behavior items as second behavior items;
and integrating the second behavior items to obtain the behavior information of the first executor, and finishing the acquisition.
8. The method for managing the dynamic process of architectural design according to claim 7, wherein in step S2, the behavior evaluation of the behavior information to obtain the evaluation result includes:
acquiring a generation time point of a second behavior item in the behavior information;
sequencing the second behavior items according to a time sequence based on the generation time point to obtain a behavior item sequence;
traversing second behavior items from the starting point to the end point of the behavior item sequence in sequence;
performing feature analysis and extraction on the traversed second behavior item to obtain at least one first feature;
acquiring a preset standard feature library corresponding to the first process;
performing feature matching on the first feature and standard features in the standard feature library, if the first feature and the standard features in the standard feature library are matched, acquiring a first matching degree which is matched and matched, and meanwhile, taking the corresponding second behavior item as a third behavior item;
determining a first score corresponding to the standard feature matched with the first matching degree and the first matching degree based on a preset standard feature-matching degree-score library;
if the first matching degree is smaller than or equal to a preset seventh threshold value, associating the first score with the third behavior item;
otherwise, determining passive influence information corresponding to the matched and conformed standard features based on a preset standard feature-passive influence information base, wherein the passive influence information comprises: a passive direction of influence and at least one first characteristic of influence corresponding to the passive direction of influence, the passive direction of influence comprising: front and/or back;
selecting the second behavior item in the passive influence direction of the third behavior item in the behavior item sequence, and taking the second behavior item as a fourth behavior item;
performing feature analysis and extraction on the fourth behavioral item to obtain at least one second feature;
performing feature matching on the second feature and the corresponding first influence feature, if the matching is in accordance with the first influence feature, acquiring a second matching degree of the matching in accordance with the second influence feature, and meanwhile, taking the first influence feature in accordance with the matching as the second influence feature;
determining an adjusting strategy corresponding to the second influence characteristic and the second matching degree together based on a preset influence characteristic-matching degree-adjusting strategy library;
adjusting the first score based on the adjusting strategy to obtain a second score, and associating the second score with the corresponding third behavior item;
after traversing is finished, summarizing a first score and a second score associated with the third behavior item to obtain a score sum, and carrying out pairing combination on the score sum and the corresponding third behavior item to obtain a first evaluation item;
and integrating the first evaluation items to obtain an evaluation result and finish behavior evaluation.
9. The method for managing the dynamic process of building design according to claim 8, wherein in step S3, based on the evaluation result, the performing corresponding processing on the first executor comprises:
if the first score or the second score in the first evaluation item is smaller than or equal to a preset eighth threshold, taking the corresponding first evaluation item as a second evaluation item;
extracting the third behavior item in the second evaluation item as a fifth behavior item;
determining the first executive person corresponding to the fifth action item, and taking the first executive person as a second executive person;
acquiring a preset improved analysis model, inputting the fifth action item into the improved analysis model, and acquiring at least one first item to be improved;
constructing an item to be improved-improvement strategy library, and determining a first improvement strategy corresponding to the first item to be improved;
matching and combining the first improvement strategy and the corresponding fifth behavior item to obtain a pushing item;
and integrating the push items to obtain push information and pushing the push information to the second executor.
10. The method of claim 6, further comprising:
and the first executives corresponding to different first processes can communicate with each other.
CN202111220285.6A 2021-10-20 2021-10-20 Building design dynamic process management system and method Pending CN113888005A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114493291A (en) * 2022-01-28 2022-05-13 中铁北京工程局集团有限公司 Intelligent detection method and system for high fill quality
CN114612166A (en) * 2022-05-10 2022-06-10 浙江省标准化研究院(金砖国家标准化(浙江)研究中心、浙江省物品编码中心) System and method for analyzing necessary patents of industrial chain

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114493291A (en) * 2022-01-28 2022-05-13 中铁北京工程局集团有限公司 Intelligent detection method and system for high fill quality
CN114612166A (en) * 2022-05-10 2022-06-10 浙江省标准化研究院(金砖国家标准化(浙江)研究中心、浙江省物品编码中心) System and method for analyzing necessary patents of industrial chain
CN114612166B (en) * 2022-05-10 2022-09-09 浙江省标准化研究院(金砖国家标准化(浙江)研究中心、浙江省物品编码中心) System and method for analyzing necessary patents of industrial chain

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