CN114565345B - Construction engineering construction operation site monitoring data analysis, storage and management method based on feature recognition - Google Patents
Construction engineering construction operation site monitoring data analysis, storage and management method based on feature recognition Download PDFInfo
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Abstract
The invention discloses a method for analyzing, storing and managing monitoring data of a construction operation site of a building engineering based on feature recognition, which is characterized in that monitoring videos of warehouse entrances and exits are collected during the construction operation of the building engineering, the monitoring videos are subjected to material entrance and exit monitoring data extraction, classification and storage, meanwhile, the stored material entrance and exit monitoring data are checked with corresponding matched material entrance and exit warehouse registration records, further, statistics marks are carried out on the check-failed registration records, warehouse management personnel are submitted to carry out timely tracing treatment, the problem that the real-time management of the material entrance and exit monitoring data is reflected due to the fact that the monitoring is not carried out on the videos in time and the check is carried out on the material entrance and exit warehouse registration records in the current process of carrying out the material entrance and exit monitoring on the warehouse of the building engineering is greatly solved, and further, the real-time utility of the material entrance and exit monitoring data is effectively avoided.
Description
Technical Field
The invention belongs to the technical field of building construction site monitoring data storage management, and particularly relates to a method for analyzing, storing and managing building engineering construction site monitoring data based on feature recognition.
Background
With the development of Chinese economy, urban construction steps are continuously accelerated, building construction projects are continuously increased, and safety risks are inevitably generated in the construction process due to dangers existing in building construction, so that video monitoring on building construction sites is increasingly important. Along with the increasingly diverse requirements of the existing building construction sites on video monitoring, the video monitoring range of the existing building construction sites is expanded from simply performing video monitoring on construction operation areas to performing video monitoring on access doors, rest areas, warehouses and the like of the construction sites, so that the application range of the video monitoring technology on the construction sites of the building engineering is wider and wider.
For the monitoring of a warehouse in a construction site, because the warehouse is an important place for storing construction materials, the transported construction materials are required to be stored in the warehouse in time in the construction process, and meanwhile, when certain construction materials are required, the required construction materials are required to be extracted from the warehouse in time for delivery. Therefore, the actual in-out situation of the building materials can be identified through the in-out monitoring of the materials in the building construction site warehouse, so that the building materials are prevented from being stolen, and the in-out monitoring of the materials in the building construction site warehouse is very necessary. However, at present, the material access monitoring of the warehouse on the construction site is only an auxiliary tool, the material access monitoring video is not processed in time, when the use condition of the building materials is checked, the registration record of the material access warehouse is usually used for checking, the material access monitoring video is only called for analysis when the checking is abnormal, the timely effectiveness of the material access monitoring video is ignored by the analysis mode, firstly, the time is delayed when the analysis is performed, secondly, the called material access monitoring video is processed and analyzed for a certain time, so that an abnormal traceability main body is difficult to find in time, the timely damage stopping cannot be realized, and further the material loss of the warehouse is enlarged.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide the method for analyzing, storing and managing the monitoring data of the construction operation site of the constructional engineering based on the feature recognition, which is characterized in that the monitoring video of the warehouse entrance is collected during the construction operation of the constructional engineering, the monitoring video is extracted, classified and stored with the material entrance and exit monitoring data, and the stored material entrance and exit monitoring data is checked with the corresponding matched material entrance and exit registration records, so that the check-failed registration records are statistically marked, and warehouse management staff are submitted to timely tracing treatment, thereby greatly reducing the warehouse material loss.
The aim of the invention can be achieved by the following technical scheme:
a method for analyzing, storing and managing construction engineering construction operation site monitoring data based on feature recognition comprises the following steps:
s1, monitoring video acquisition of warehouse entrances and exits: arranging a monitoring camera at an access opening of a warehouse in a construction site of the building engineering, and acquiring a monitoring video of the access opening of the warehouse during the construction of the building engineering;
s2, extracting material inlet and outlet monitoring data: performing target monitoring video segment decomposition on the monitoring video at the warehouse entrance and exit, analyzing each target monitoring video segment, and extracting material in-out monitoring data corresponding to each target monitoring video segment;
s3, sorting material inlet and outlet monitoring data: classifying each piece of material access monitoring data according to the access type to obtain each piece of warehousing monitoring data corresponding to the material warehousing type and each piece of ex-warehouse monitoring data corresponding to the material ex-warehouse type;
s4, classifying and storing material in-out monitoring data: sequencing all the warehousing monitoring data corresponding to the material warehousing type and all the ex-warehouse monitoring data corresponding to the material ex-warehouse type according to the sequence of the monitoring time points to obtain a material warehousing monitoring data set and a material ex-warehouse monitoring data set, and storing the material warehousing monitoring data set and the material ex-warehouse monitoring data set;
s5, warehouse material in-out warehouse registration record acquisition: acquiring all material warehouse entry registration records and all material warehouse exit registration records of a warehouse in the construction process of the building engineering;
s6, matching the material warehouse-in and warehouse-out registration record and the warehouse-in and warehouse-out monitoring data: the method comprises the steps that matched warehousing monitoring data of each material warehousing registration record are respectively analyzed from a material warehousing monitoring data set, and matched ex-warehouse monitoring data of each material ex-warehouse registration record are respectively analyzed from a material ex-warehouse monitoring data set;
s7, matching the registration record of the material warehouse entry and the warehouse entry monitoring data with a mark: respectively carrying out matching marking on the warehouse-in monitoring data corresponding to and matched with each material warehouse-in registration record and the warehouse-out monitoring data corresponding to and matched with each material warehouse-out registration record;
s8, checking authenticity of the material in-out warehouse registration record: and checking each material warehouse-in/warehouse-out registration record of the matched mark with the warehouse-in/warehouse-out monitoring data respectively, judging whether each material warehouse-in/warehouse-out registration record is successfully checked, counting and marking the number of the material warehouse-in/warehouse-out registration record with failed check, and submitting the number to warehouse manager.
As a further improvement of the present invention, the specific operation method of performing the target monitor video segment decomposition on the monitor video at the warehouse entrance in S2 is to extract the contour of the transport vehicle in real time in the duration corresponding to the monitor video at the warehouse entrance, and if the contour of the transport vehicle can be extracted in a certain time period, record the video segment corresponding to the time period in the monitor video as the target monitor video segment, so as to decompose the monitor video into a plurality of target monitor video segments.
As a further improvement of the present invention, the material access monitoring data includes an access type, a transport vehicle body parameter, a monitoring time point, and an access material parameter, wherein the access type includes a material warehouse entry type and a material warehouse exit type, and the transport vehicle body parameter includes a transport vehicle license plate number and a driver name.
As a further improvement of the present invention, the in-out material parameter is specifically that if the in-out type corresponding to the in-out monitoring data of a material is a material warehouse-in type, the in-out material parameter corresponding to the in-out monitoring data of the material is a warehouse-in material type and a warehouse-in material number, and if the in-out type corresponding to the in-out monitoring data of a material is a material warehouse-out type, the in-out material parameter corresponding to the in-out monitoring data of the material is a warehouse-out material type and a warehouse-out material number.
As a further improvement of the present invention, the specific extraction process for extracting the material access monitoring data corresponding to each target monitoring video segment from each target monitoring video segment in S2 is as follows:
the method comprises the steps of D1, extracting an image of a transport vehicle first appearing at a warehouse entrance from each target monitoring video segment, and recording the image as a transport vehicle first appearing image;
focusing the first image of the transport vehicle in each target monitoring video segment on the loading part of the vehicle so as to identify whether building materials exist in the loading part of the vehicle, if so, judging that the type of the entry and exit of the transport vehicle in the target monitoring video segment corresponding to the material entry and exit monitoring data is a material entry type, and if not, judging that the type of the entry and exit of the transport vehicle in the target monitoring video segment corresponding to the material entry and exit monitoring data is a material exit type;
focusing the first-appearing image of the transport vehicle in each target monitoring video segment on the head area of the vehicle, extracting the license plate number of the transport vehicle, focusing the first-appearing image of the transport vehicle on the driving position area, extracting the face image of the driver, determining the name of the driver, and taking the license plate number and the name of the driving name of the transport vehicle as main body parameters of the transport vehicle in the in-out monitoring data of corresponding materials of each target monitoring video segment;
d4, recording a time point corresponding to the first image of the transport vehicle in each target monitoring video segment, and taking the time point as a monitoring time point in the monitoring data of the material corresponding to each target monitoring video segment;
if the type of the in-out monitoring data corresponding to the object monitoring video segment is the type of the in-out monitoring data of the object, focusing an image of the first occurrence of the transport vehicle in the object monitoring video segment on the loading part of the vehicle, further extracting the appearance characteristic of the building materials correspondingly loaded on the loading part of the vehicle, identifying the type of the in-out building materials, meanwhile intercepting the unloading process segment of the object monitoring video segment, and counting the unloading quantity of the building materials from the unloading process segment to obtain the quantity of the in-storage building materials;
and D6, if the type of the material entering and exiting monitoring data corresponding to the target monitoring video segment is the material exiting type, intercepting the target monitoring video segment in the loading process segment, counting the loading quantity of the building materials from the loading process segment to obtain the exiting material quantity, and extracting the appearance characteristics of the loaded building materials in the loading process to identify the exiting material type.
As a further improvement of the present invention, the warehouse-in monitoring data includes a transportation vehicle body parameter, a monitoring time point, a warehouse-in material type and a warehouse-in material quantity, and the warehouse-out monitoring data includes a transportation vehicle body parameter, a monitoring time point, a warehouse-out material type and a warehouse-out material quantity.
As a further improvement of the present invention, in the step S4, when the warehouse entry monitoring data and the warehouse exit monitoring data are stored, the target monitoring video segments corresponding to each piece of warehouse entry/warehouse exit monitoring data are also stored correspondingly.
As a further improvement of the present invention, the specific analysis method for analyzing the matching entry/exit monitoring data corresponding to each entry/exit registration record of the material in S6 extracts a registration time point from each entry/exit registration record of the material, and matches the registration time point with a monitoring time point corresponding to each entry/exit monitoring data in the collection of entry/exit monitoring data of the material, if the registration time point of an entry/exit registration record of a material is close to the monitoring time point of an entry/exit monitoring data of the material, the entry/exit monitoring data corresponding to the entry/exit registration record of the material is the entry/exit monitoring data of the material.
As a further improvement of the present invention, the specific judging process in S8 for judging whether each of the material warehouse entry registration records is successfully checked is performed as follows:
each material warehouse entry registration record is numbered according to the sequence of the registration time points and is respectively marked as 1, 2;
r2, extracting main body parameters of the registered transport vehicles corresponding to each material warehousing registration record, and extracting main body parameters of the transport vehicles corresponding to each material warehousing registration record and matched with warehousing monitoring data;
r3, checking the main body parameters of the registered transport vehicles corresponding to each material warehousing registration record with the main body parameters of the transport vehicles corresponding to the registration record and matched with warehousing monitoring data, and judging whether the main body parameters are consistent;
r4, extracting the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials corresponding to each material warehouse-in registration record, and extracting the types of the warehouse-in materials and the quantity of the warehouse-in materials in the warehouse-in monitoring data corresponding to each material warehouse-in registration record;
r5, checking the registered warehouse-in material types and the registered warehouse-in material quantity corresponding to each material warehouse-in registration record with the warehouse-in material types and the warehouse-in material quantity in the warehouse-in monitoring data corresponding to the registration record, and judging whether the warehouse-in material types and the warehouse-in material quantity are consistent;
and R6, if the main body parameters of the registered transport vehicles, the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials corresponding to the warehouse-in registration records of a certain material are all checked to be consistent, the warehouse-in registration records of the material are checked successfully, otherwise, the warehouse-in registration records of the material are checked failed.
As a further improvement of the present invention, the specific judging process in S8 for judging whether each of the material ex-warehouse registration records is successfully checked is judged with reference to the judging process of the material in-warehouse registration record.
The beneficial effects of the invention are as follows:
(1) According to the invention, the monitoring videos of the warehouse entrance and exit are collected during construction operation of the building engineering, and the target monitoring video segments are decomposed, so that the corresponding material entrance and exit monitoring data are extracted from each target monitoring video segment by adopting a characteristic identification technology, and further the material entrance and exit monitoring data are classified and stored, and meanwhile, all the material entrance and exit warehouse registration records of the warehouse entrance and exit are obtained during construction operation of the building engineering, so that the stored material entrance and exit monitoring data are checked with the corresponding matched material entrance and exit warehouse registration records, statistics marks are carried out on the check-up failure registration records, and warehouse management personnel are submitted to carry out timely tracing processing, thus the problem of tracing delay caused by the fact that the monitoring is carried out on the video and checked with the material entrance and exit warehouse registration records in the process of carrying out material entrance and exit monitoring on a building construction site is greatly solved, the real-time management of the material entrance and exit monitoring data is reflected, the real-time utility of the material entrance and exit monitoring data is highlighted, and further the further expansion of warehouse material loss is effectively avoided.
(2) In the process of checking the material in-out registration record and the material in-out monitoring data, the invention integrates the checking of the main body parameters of the registered transport vehicle, the types of the registered in-out materials and the quantity of the registered in-out materials, has comprehensive checking indexes, avoids the checking unilateral problem caused by checking only according to the condition of the registered materials, simultaneously checks the main body parameters of the registered transport vehicle, can quickly acquire the corresponding transport vehicle main body when the checking of the registered materials fails, not only provides a tracing target for tracing the failure of the checking of the registered materials, but also improves the tracing efficiency.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a method for analyzing, storing and managing construction engineering construction operation site monitoring data based on feature recognition includes the following steps:
s1, monitoring video acquisition of warehouse entrances and exits: arranging a monitoring camera at an access opening of a warehouse in a construction site of the building engineering, and acquiring a monitoring video of the access opening of the warehouse during the construction of the building engineering;
according to the embodiment, the monitoring video collection of the warehouse entrance and exit is carried out during the construction operation of the building engineering, so that the collected monitoring data displayed by the monitoring video have more time pertinence;
s2, extracting material inlet and outlet monitoring data: the method comprises the steps of carrying out target monitoring video segment decomposition on monitoring videos of a warehouse entrance and a warehouse entrance, wherein the specific operation method comprises the steps of carrying out transport vehicle contour extraction in real time in a time period corresponding to the monitoring videos of the warehouse entrance and the warehouse entrance, if the transport vehicle contour can be extracted in a certain time period, recording video segments corresponding to the time period in the monitoring videos as target monitoring video segments, and decomposing the monitoring videos into a plurality of target monitoring video segments;
according to the embodiment, the target monitoring video segment is decomposed for the monitoring video, so that an extraction basis is provided for extracting the material access monitoring data;
analyzing each target monitoring video segment, and extracting material access monitoring data corresponding to each target monitoring video segment from the target monitoring video segment, wherein the material access monitoring data comprise an access type, a transport vehicle main body parameter, a monitoring time point and an access material parameter, the access type comprises a material warehousing type and a material ex-warehouse type, the transport vehicle main body parameter comprises a transport vehicle license plate number and a driver name, the access material parameter is specifically that if the access type corresponding to the material access monitoring data is the material warehousing type, the access material parameter corresponding to the material access monitoring data is the warehousing material type and the warehousing material quantity, and if the access type corresponding to a certain material access monitoring data is the material ex-warehouse type, the access material parameter corresponding to the material access monitoring data is the ex-warehouse material type and the ex-warehouse material quantity;
in this embodiment, the specific extraction process of the material access monitoring data corresponding to each target monitoring video segment is as follows:
the method comprises the steps of D1, extracting an image of a transport vehicle first appearing at a warehouse entrance from each target monitoring video segment, and recording the image as a transport vehicle first appearing image;
focusing the first image of the transport vehicle in each target monitoring video segment on the loading part of the vehicle so as to identify whether building materials exist in the loading part of the vehicle, if so, judging that the type of the transport vehicle in the entry and exit monitoring data corresponding to the target monitoring video segment is a material entry type, and if not, judging that the type of the transport vehicle in the entry and exit monitoring data corresponding to the target monitoring video segment is a material exit type;
focusing the first-appearing image of the transport vehicle in each target monitoring video segment on the head area of the vehicle, extracting the license plate number of the transport vehicle, focusing the first-appearing image of the transport vehicle on the driving position area, extracting the face image of the driver, determining the name of the driver, and taking the license plate number and the name of the driving name of the transport vehicle as main body parameters of the transport vehicle in the in-out monitoring data of corresponding materials of each target monitoring video segment;
d4, recording a time point corresponding to the first image of the transport vehicle in each target monitoring video segment, and taking the time point as a monitoring time point in the monitoring data of the material corresponding to each target monitoring video segment;
if the type of the in-out monitoring data corresponding to the object monitoring video segment is the type of the in-out monitoring data of the object, focusing an image of the first occurrence of the transport vehicle in the object monitoring video segment on the loading part of the vehicle, further extracting the appearance characteristic of the building materials correspondingly loaded on the loading part of the vehicle, identifying the type of the in-out building materials, meanwhile intercepting the unloading process segment of the object monitoring video segment, and counting the unloading quantity of the building materials from the unloading process segment to obtain the quantity of the in-storage building materials;
if the type of the in-out monitoring data of the goods corresponding to the certain target monitoring video segment is the type of the goods out of the warehouse, intercepting the target monitoring video segment in the loading process segment, counting the number of the goods of the building materials in the loading process segment to obtain the number of the goods out of the warehouse, and extracting the appearance characteristics of the loaded building materials in the loading process to identify the type of the goods out of the warehouse;
in the embodiment, the feature recognition technology is fully utilized in the process of extracting the material access monitoring data corresponding to each target monitoring video segment, the name of a driver is determined by carrying out feature recognition on the face image of the driver from the target monitoring video segment, and then the appearance feature recognition is carried out on the warehouse-in material and the warehouse-out material, so that the types of the warehouse-in material and the warehouse-out material are determined, and the recognized data parameters provide a reliable checking data basis for later checking with warehouse material access registration records;
s3, sorting material inlet and outlet monitoring data: comparing the entry and exit types corresponding to the entry and exit monitoring data of each piece of material, so as to classify all pieces of material entry and exit monitoring data according to the entry and exit types, and obtaining each piece of warehousing monitoring data corresponding to the material warehousing type and each piece of ex-warehouse monitoring data corresponding to the material ex-warehouse type;
according to the embodiment, the material access monitoring data are classified, so that convenience is provided for matching check of the subsequent material access monitoring data and the material access warehouse registration record;
s4, classifying and storing material in-out monitoring data: sorting all the warehousing monitoring data corresponding to the material warehousing type and all the ex-warehouse monitoring data corresponding to the material ex-warehouse type according to the sequence of monitoring time points to obtain a material warehousing monitoring data set and a material ex-warehouse monitoring data set, and storing the material warehousing monitoring data set and the material ex-warehouse monitoring data set, wherein the purpose of storing the material warehouse monitoring data set is to facilitate the retrieval of monitoring data when the follow-up checking is performed with a material ex-warehouse registration record, and the stored monitoring data is generally longer in storage time and not easy to lose, and the target monitoring video segments corresponding to all the warehousing/ex-warehouse monitoring data are correspondingly stored when the monitoring data are stored, and the purpose of storing the target monitoring video segments is to provide the original material of the monitoring data;
s5, warehouse material in-out warehouse registration record acquisition: acquiring all material warehouse entry registration records and all material warehouse exit registration records of a warehouse in the construction process of the building engineering;
s6, matching the material warehouse-in and warehouse-out registration record and the warehouse-in and warehouse-out monitoring data: the method comprises the steps of extracting a registration time point from each material warehousing/ex-warehouse registration record, matching the registration time point with a monitoring time point corresponding to each warehousing/ex-warehouse monitoring data in the material warehousing/ex-warehouse monitoring data set, and determining that the warehousing/ex-warehouse monitoring data corresponding to each material warehousing/ex-warehouse registration record is the warehousing/ex-warehouse monitoring data if the registration time point of a certain material warehousing/ex-warehouse registration record is close to the monitoring time point of a certain warehousing/ex-warehouse monitoring data;
according to the embodiment, the checking target is provided for the subsequent checking of the material in-out warehouse registration records by matching each material in-out warehouse registration record with the in-out warehouse monitoring data, so that the invalid checking phenomenon caused by blind checking when the checking target corresponding to the material in-out warehouse registration record is not determined is avoided;
s7, matching the registration record of the material warehouse entry and the warehouse entry monitoring data with a mark: respectively carrying out matching marking on the warehouse-in monitoring data corresponding to and matched with each material warehouse-in registration record and the warehouse-out monitoring data corresponding to and matched with each material warehouse-out registration record;
s8, checking authenticity of the material in-out warehouse registration record: checking each material warehouse-in/warehouse-out registration record of the matched mark with warehouse-in/warehouse-out monitoring data respectively so as to judge whether each material warehouse-in/warehouse-out registration record is checked successfully, wherein the specific judging process for judging whether each material warehouse-in registration record is checked successfully executes the following steps:
each material warehouse entry registration record is numbered according to the sequence of the registration time points and is respectively marked as 1, 2;
r2, extracting main body parameters of the registered transport vehicles corresponding to each material warehousing registration record, and extracting main body parameters of the transport vehicles corresponding to each material warehousing registration record and matched with warehousing monitoring data;
r3, checking the main body parameters of the registered transport vehicles corresponding to each material warehousing registration record with the main body parameters of the transport vehicles corresponding to the registration record and matched with warehousing monitoring data, and judging whether the main body parameters are consistent;
r4, extracting the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials corresponding to each material warehouse-in registration record, and extracting the types of the warehouse-in materials and the quantity of the warehouse-in materials in the warehouse-in monitoring data corresponding to each material warehouse-in registration record;
r5, checking the registered warehouse-in material types and the registered warehouse-in material quantity corresponding to each material warehouse-in registration record with the warehouse-in material types and the warehouse-in material quantity in the warehouse-in monitoring data corresponding to the registration record, and judging whether the warehouse-in material types and the warehouse-in material quantity are consistent;
and R6, if the main body parameters of the registered transport vehicles, the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials corresponding to the warehouse-in registration records of a certain material are all checked to be consistent, the warehouse-in registration records of the material are checked successfully, otherwise, the warehouse-in registration records of the material are checked failed.
The specific judging process for judging whether each material ex-warehouse registration record is checked successfully or not executes the following steps:
the method comprises the steps of U1, numbering each material ex-warehouse registration record according to the sequence of registration time points, and marking the registration records as 1,2, j, m;
u2, extracting main body parameters of the registered transport vehicles corresponding to each material ex-warehouse registration record, and extracting main body parameters of the transport vehicles corresponding to each material ex-warehouse registration record and matching the main body parameters of the transport vehicles in ex-warehouse monitoring data;
u3, checking the main body parameters of the registered transport vehicles corresponding to each material ex-warehouse registration record with the main body parameters of the transport vehicles in the ex-warehouse monitoring data corresponding to the registration record, and judging whether the main body parameters are consistent;
u4, extracting the registered ex-warehouse material types and the registered ex-warehouse material quantity corresponding to each material ex-warehouse registration record, and extracting the ex-warehouse material types and the ex-warehouse material quantity corresponding to each material ex-warehouse registration record and matching the ex-warehouse material types and the ex-warehouse material quantity in the ex-warehouse monitoring data;
u5, checking the registered ex-warehouse material types and the registered ex-warehouse material quantity corresponding to each material ex-warehouse registration record with the ex-warehouse material types and the ex-warehouse material quantity in the ex-warehouse monitoring data corresponding to the registration record, and judging whether the types are consistent;
and U6, if the registered transportation vehicle main body parameters, the registered inventory item types and the registered inventory item numbers corresponding to the inventory item registration records are all matched, the inventory item inventory registration records are successfully checked, otherwise, the inventory item inventory registration records fail to be checked.
In the process of checking the material in-out warehouse registration record and the material in-out monitoring data, the embodiment integrates the checking of the main body parameters of the registered transport vehicles, the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials, the checking indexes are comprehensive, the checking one-sided problem caused by checking only according to the condition of the registered materials is avoided, the main body parameters of the registered transport vehicles are checked at the same time, the corresponding transport vehicle main bodies can be quickly obtained when the checking of the registered materials fails, the tracing targets are provided for tracing the failure of the checking of the registered materials, and the tracing efficiency is improved.
And further, the numbers of the check-failed material in-out warehouse entry records are statistically marked, and submitted to warehouse management personnel.
According to the embodiment, the monitoring videos of the warehouse entrance and exit are collected during construction operation of the building engineering, the monitoring videos are subjected to material entrance and exit monitoring data extraction, classification and storage, meanwhile, the stored material entrance and exit monitoring data are checked with the corresponding matched material entrance and exit warehouse registration records, statistics marks are further carried out on the check-failed registration records, and warehouse management personnel are submitted to carry out timely tracing processing, so that the problem of tracing delay caused by the fact that monitoring is not carried out on the monitoring videos in time and checked with the material entrance and exit warehouse registration records in the process of carrying out material entrance and exit monitoring on a warehouse on a construction site at present is solved, real-time management of the material entrance and exit monitoring data is reflected, real-time utility of the material entrance and exit monitoring data is highlighted, and further loss of the warehouse material is effectively avoided.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (9)
1. The method for analyzing, storing and managing the construction operation site monitoring data of the building engineering based on the feature recognition is characterized by comprising the following steps:
s1, monitoring video acquisition of warehouse entrances and exits: arranging a monitoring camera at an access opening of a warehouse in a construction site of the building engineering, and acquiring a monitoring video of the access opening of the warehouse during the construction of the building engineering;
s2, extracting material inlet and outlet monitoring data: performing target monitoring video segment decomposition on the monitoring video at the warehouse entrance and exit, analyzing each target monitoring video segment, and extracting material in-out monitoring data corresponding to each target monitoring video segment;
s3, sorting material inlet and outlet monitoring data: classifying each piece of material access monitoring data according to the access type to obtain each piece of warehousing monitoring data corresponding to the material warehousing type and each piece of ex-warehouse monitoring data corresponding to the material ex-warehouse type;
s4, classifying and storing material in-out monitoring data: sequencing all the warehousing monitoring data corresponding to the material warehousing type and all the ex-warehouse monitoring data corresponding to the material ex-warehouse type according to the sequence of the monitoring time points to obtain a material warehousing monitoring data set and a material ex-warehouse monitoring data set, and storing the material warehousing monitoring data set and the material ex-warehouse monitoring data set;
s5, warehouse material in-out warehouse registration record acquisition: acquiring all material warehouse entry registration records and all material warehouse exit registration records of a warehouse in the construction process of the building engineering;
s6, matching the material warehouse-in and warehouse-out registration record and the warehouse-in and warehouse-out monitoring data: the method comprises the steps that matched warehousing monitoring data of each material warehousing registration record are respectively analyzed from a material warehousing monitoring data set, and matched ex-warehouse monitoring data of each material ex-warehouse registration record are respectively analyzed from a material ex-warehouse monitoring data set;
s7, matching the registration record of the material warehouse entry and the warehouse entry monitoring data with a mark: respectively carrying out matching marking on the warehouse-in monitoring data corresponding to and matched with each material warehouse-in registration record and the warehouse-out monitoring data corresponding to and matched with each material warehouse-out registration record;
s8, checking authenticity of the material in-out warehouse registration record: checking each material warehouse-in/warehouse-out registration record of the matched mark with warehouse-in/warehouse-out monitoring data respectively, judging whether each material warehouse-in/warehouse-out registration record is checked successfully or not, counting the number of the material warehouse-in/warehouse-out registration record with failed check, and submitting the number to warehouse manager;
the specific judging process for judging whether the check of each material warehouse entry registration record is successful in the S8 is implemented by the following steps:
each material warehouse entry registration record is numbered according to the sequence of the registration time points and is respectively marked as 1, 2;
r2, extracting main body parameters of the registered transport vehicles corresponding to each material warehousing registration record, and extracting main body parameters of the transport vehicles corresponding to each material warehousing registration record and matched with warehousing monitoring data;
r3, checking the main body parameters of the registered transport vehicles corresponding to each material warehousing registration record with the main body parameters of the transport vehicles corresponding to the registration record and matched with warehousing monitoring data, and judging whether the main body parameters are consistent;
r4, extracting the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials corresponding to each material warehouse-in registration record, and extracting the types of the warehouse-in materials and the quantity of the warehouse-in materials in the warehouse-in monitoring data corresponding to each material warehouse-in registration record;
r5, checking the registered warehouse-in material types and the registered warehouse-in material quantity corresponding to each material warehouse-in registration record with the warehouse-in material types and the warehouse-in material quantity in the warehouse-in monitoring data corresponding to the registration record, and judging whether the warehouse-in material types and the warehouse-in material quantity are consistent;
and R6, if the main body parameters of the registered transport vehicles, the types of the registered warehouse-in materials and the quantity of the registered warehouse-in materials corresponding to the warehouse-in registration records of a certain material are all checked to be consistent, the warehouse-in registration records of the material are checked successfully, otherwise, the warehouse-in registration records of the material are checked failed.
2. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: the specific operation method for decomposing the target monitoring video segment of the monitoring video of the warehouse entrance in the S2 is to extract the contour of the transport vehicle in real time in the time period corresponding to the monitoring video of the warehouse entrance, if the contour of the transport vehicle can be extracted in a certain time period, the video segment corresponding to the time period in the monitoring video is recorded as the target monitoring video segment, so that the monitoring video is decomposed into a plurality of target monitoring video segments.
3. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: the material access monitoring data comprise an access type, a transport vehicle main body parameter, a monitoring time point and an access material parameter, wherein the access type comprises a material warehouse-in type and a material warehouse-out type, and the transport vehicle main body parameter comprises a transport vehicle license plate number and a driver name.
4. A method for analyzing, storing and managing construction work site monitoring data based on feature recognition according to claim 3, wherein: the material entering and exiting parameters are specifically the type of material entering and exiting according to the material entering and exiting monitoring data, if the type of material entering and exiting corresponding to the material entering and exiting monitoring data is the type of material entering and exiting according to the material entering and exiting monitoring data, the material entering and exiting parameters corresponding to the material entering and exiting monitoring data are the type of material exiting according to the material entering and exiting quantity of the material entering and exiting according to the material entering and exiting monitoring data.
5. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: the specific extraction process for extracting the material access monitoring data corresponding to each target monitoring video segment from each target monitoring video segment in the S2 is as follows:
the method comprises the steps of D1, extracting an image of a transport vehicle first appearing at a warehouse entrance from each target monitoring video segment, and recording the image as a transport vehicle first appearing image;
focusing the first image of the transport vehicle in each target monitoring video segment on the loading part of the vehicle so as to identify whether building materials exist in the loading part of the vehicle, if so, judging that the type of the entry and exit of the transport vehicle in the target monitoring video segment corresponding to the material entry and exit monitoring data is a material entry type, and if not, judging that the type of the entry and exit of the transport vehicle in the target monitoring video segment corresponding to the material entry and exit monitoring data is a material exit type;
focusing the first-appearing image of the transport vehicle in each target monitoring video segment on the head area of the vehicle, extracting the license plate number of the transport vehicle, focusing the first-appearing image of the transport vehicle on the driving position area, extracting the face image of the driver, determining the name of the driver, and taking the license plate number and the name of the driving name of the transport vehicle as main body parameters of the transport vehicle in the in-out monitoring data of corresponding materials of each target monitoring video segment;
d4, recording a time point corresponding to the first image of the transport vehicle in each target monitoring video segment, and taking the time point as a monitoring time point in the monitoring data of the material corresponding to each target monitoring video segment;
if the type of the in-out monitoring data corresponding to the object monitoring video segment is the type of the in-out monitoring data of the object, focusing an image of the first occurrence of the transport vehicle in the object monitoring video segment on the loading part of the vehicle, further extracting the appearance characteristic of the building materials correspondingly loaded on the loading part of the vehicle, identifying the type of the in-out building materials, meanwhile intercepting the unloading process segment of the object monitoring video segment, and counting the unloading quantity of the building materials from the unloading process segment to obtain the quantity of the in-storage building materials;
and D6, if the type of the material entering and exiting monitoring data corresponding to the target monitoring video segment is the material exiting type, intercepting the target monitoring video segment in the loading process segment, counting the loading quantity of the building materials from the loading process segment to obtain the exiting material quantity, and extracting the appearance characteristics of the loaded building materials in the loading process to identify the exiting material type.
6. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: the warehouse-in monitoring data comprise transport vehicle main body parameters, monitoring time points, warehouse-in material types and warehouse-in material quantity, and the warehouse-out monitoring data comprise transport vehicle main body parameters, monitoring time points, warehouse-out material types and warehouse-out material quantity.
7. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: and in the step S4, when the warehouse-in monitoring data and the warehouse-out monitoring data are stored, the target monitoring video segments corresponding to each warehouse-in/warehouse-out monitoring data are correspondingly stored.
8. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: the specific analysis method for analyzing the matching warehouse-in/warehouse-out monitoring data corresponding to each warehouse-in/warehouse-out registration record in the S6 is that a registration time point is extracted from each warehouse-in/warehouse-out registration record of the materials and matched with the monitoring time point corresponding to each warehouse-in/warehouse-out monitoring data in the warehouse-in/warehouse-out monitoring data set, and if the registration time point of a warehouse-in/warehouse-out registration record of a certain material is close to the monitoring time point of a warehouse-in/warehouse-out monitoring data, the warehouse-in/warehouse-out monitoring data corresponding to the matched warehouse-in/warehouse-out registration record of the material is the warehouse-in/warehouse-out monitoring data.
9. The method for analyzing, storing and managing the monitoring data of the construction site of the building engineering operation based on the feature recognition according to claim 1, wherein the method comprises the following steps: and S8, the specific judging process for judging whether each material ex-warehouse registration record is successfully checked is judged by referring to the judging process of the material in-warehouse registration record.
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