CN115546677A - Capital construction site information processing method, device, equipment and computer readable medium - Google Patents
Capital construction site information processing method, device, equipment and computer readable medium Download PDFInfo
- Publication number
- CN115546677A CN115546677A CN202210809862.3A CN202210809862A CN115546677A CN 115546677 A CN115546677 A CN 115546677A CN 202210809862 A CN202210809862 A CN 202210809862A CN 115546677 A CN115546677 A CN 115546677A
- Authority
- CN
- China
- Prior art keywords
- information
- infrastructure
- construction site
- capital construction
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000010276 construction Methods 0.000 title claims abstract description 66
- 230000010365 information processing Effects 0.000 title claims description 17
- 238000003672 processing method Methods 0.000 title description 9
- 238000012545 processing Methods 0.000 claims abstract description 107
- 238000001914 filtration Methods 0.000 claims abstract description 51
- 238000001514 detection method Methods 0.000 claims abstract description 36
- 238000000034 method Methods 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 230000004044 response Effects 0.000 claims description 29
- 238000004590 computer program Methods 0.000 claims description 9
- 238000010586 diagram Methods 0.000 description 10
- 238000000605 extraction Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 230000002159 abnormal effect Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 6
- 239000002699 waste material Substances 0.000 description 5
- 230000000873 masking effect Effects 0.000 description 4
- 238000012806 monitoring device Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 4
- 238000005507 spraying Methods 0.000 description 4
- 238000009423 ventilation Methods 0.000 description 4
- 238000012217 deletion Methods 0.000 description 3
- 230000037430 deletion Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000007921 spray Substances 0.000 description 3
- 239000013598 vector Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000009440 infrastructure construction Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
- G06Q50/265—Personal security, identity or safety
Abstract
The embodiment of the disclosure discloses a method, a device, equipment and a computer readable medium for processing capital construction site information. One embodiment of the method comprises: receiving infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area to obtain an infrastructure field information set; for each piece of capital construction site information in the capital construction site information set, the following processing steps are executed: determining a filtering condition according to an information type identifier included in the infrastructure field information, and determining whether the infrastructure field information meets the filtering condition; generating a data processing information set corresponding to the capital construction site information according to the information type identifier; controlling associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set; and sending the infrastructure site information set to the associated monitoring terminal for displaying. This embodiment improves the work safety of the staff in the infrastructure area.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a method, a device, equipment and a computer readable medium for processing capital construction site information.
Background
With the increasing infrastructure construction, how to determine the safety situation of the infrastructure site becomes an important research topic. At present, when determining the safety situation of a capital construction area, the method generally adopts: and determining the safety condition of the infrastructure area in a manual inspection mode.
However, when determining the safety situation of the infrastructure area in the above manner, there are often the following technical problems:
firstly, unsafe factors in a infrastructure area (for example, PM2.5 in the infrastructure area exceeds standard and a fire disaster occurs) cannot be found in time in a manual patrol mode, so that the working safety of workers in the infrastructure area is low;
secondly, when the video type infrastructure field data is analyzed, all pixels of each frame in the video need to be analyzed, and a safe infrastructure area may be analyzed, so that a long time needs to be consumed for analyzing the video type infrastructure field data;
thirdly, when the data processing information meets the alarm condition, the associated rescue equipment is controlled to carry out rescue operation without verifying the data processing information, so that the waste of rescue resources is caused;
fourthly, when the infrastructure site information stored in the database is excessive, the memory resource is insufficient because part of useless infrastructure site information is not cleared in time, so that new infrastructure site information cannot be stored continuously.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.
Some embodiments of the present disclosure propose a infrastructure field information processing method, apparatus, electronic device, and computer readable medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a method for processing infrastructure site information, the method including: receiving infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area to obtain an infrastructure field information set, wherein the infrastructure field information in the infrastructure field information set comprises an information type identifier; for each piece of capital construction site information in the capital construction site information set, executing the following processing steps: determining a filtering condition according to an information type identifier included in the infrastructure field information, and determining whether the infrastructure field information meets the filtering condition; responding to the capital construction site information meeting the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification; controlling associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set; and sending the infrastructure site information set to an associated monitoring terminal for displaying.
In a second aspect, some embodiments of the present disclosure provide a infrastructure site information processing apparatus, including: the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is configured to receive infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area to obtain an infrastructure field information set, and the infrastructure field information in the infrastructure field information set comprises an information type identifier; a processing unit configured to execute the following processing steps for each piece of infrastructure site information in the set of infrastructure site information: determining a filtering condition according to an information type identifier included in the infrastructure field information, and determining whether the infrastructure field information meets the filtering condition; responding to the fact that the capital construction site information meets the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification; controlling associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set; and the sending unit is configured to send the infrastructure site information set to an associated monitoring terminal for displaying.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following beneficial effects: through the infrastructure site information processing method of some embodiments of the present disclosure, the work safety of workers in the infrastructure area is improved. Specifically, the reasons for the low work safety of workers in the infrastructure area are: unsafe factors in the infrastructure area (for example, PM2.5 in the infrastructure area exceeds standard and a fire disaster occurs) cannot be found in time in a manual patrol mode, so that the working safety of workers in the infrastructure area is low. Based on this, the infrastructure field information processing method of some embodiments of the present disclosure first receives infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area, to obtain an infrastructure field information set. Therefore, data support can be provided for analyzing the infrastructure site information. Secondly, for each piece of infrastructure site information in the infrastructure site information set, the following processing steps are executed: firstly, according to the information type identification included in the capital construction site information, determining a filtering condition, and determining whether the capital construction site information meets the filtering condition. Therefore, the capital construction site information meeting the filtering condition can be analyzed. And secondly, responding to the fact that the capital construction site information meets the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification. Thus, it may be determined from the generated set of data processing information whether unsafe factors exist for the target infrastructure area. And then, controlling the associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set. Therefore, the target infrastructure area can be subjected to rescue operation when unsafe factors exist in the target infrastructure area. And finally, sending the infrastructure field information set to a related monitoring terminal for displaying. Therefore, the analysis of the infrastructure site information is completed. The working safety of workers in the capital construction region is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a schematic illustration of an application scenario of a method of infrastructure field information processing according to some embodiments of the disclosure;
FIG. 2 is a flow diagram of some embodiments of a method of capital construction field information processing according to the present disclosure;
FIG. 3 is a schematic block diagram of some embodiments of a capital construction site information processing apparatus according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of an application scenario of the infrastructure field information processing method according to some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may receive infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area, to obtain a infrastructure field information set 102. The infrastructure field information 1021 in the infrastructure field information set 102 includes an information type identifier. Then, the computing device 101 may perform the following processing steps for each piece of capital field information 1021 in the above-described set of capital field information 102: first, the computing device 101 may determine the filtering condition 103 according to the information type identifier included in the infrastructure field information 1021, and determine whether the infrastructure field information satisfies the filtering condition 103. Next, in response to the infrastructure field information 1021 satisfying the filter condition 103, the computing device 101 may generate a data processing information set 104 corresponding to the infrastructure field information according to the information type identifier. The computing device 101 may then control the associated rescue device 105 to perform a rescue operation for the target infrastructure area in accordance with the set of data processing information 104. Finally, the computing device 101 may send the set of infrastructure field information 102 to an associated monitoring terminal for display.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a method of capital construction field information processing according to the present disclosure is shown. The capital construction site information processing method comprises the following steps:
In some embodiments, an execution subject (e.g., the computing device 101 shown in fig. 1) of the infrastructure field information processing method may receive infrastructure field information sent by at least one detection device in a set of detection devices in a target infrastructure area, to obtain a set of infrastructure field information. The target infrastructure area may be a preset infrastructure area that needs to be monitored. The detection device in the detection device set may be a device for detecting information of the target infrastructure area. For example, the detection devices described above may include, but are not limited to: a monitoring camera and a PM2.5 detector. The infrastructure field information in the infrastructure field information set may be information of a target infrastructure area acquired by the detection device. The infrastructure field information in the infrastructure field information set comprises infrastructure field data, equipment numbers and information type identifications. The capital construction field data may be data of a target capital construction region acquired by the detection device. For example, the above-mentioned infrastructure field data may be PM2.5=100. The device number may be used to uniquely identify a certain detection device. The information type identification can represent the information type of the infrastructure field data. The type of information may include, but is not limited to, one of the following: data type, picture type, video type. Here, the data type may indicate that the construction site data is data of a target construction area detected by an environment detection device in the target construction area. For example, the environment detection devices described above may include, but are not limited to: a thermometer and a PM2.5 detector. Therefore, when the data monitoring device is a thermometer, the capital field data may be "capital field temperature =30 ℃", and when the data monitoring device is a PM2.5 detector, the capital field data may be "PM2.5=100". The picture type may represent that the infrastructure site data is a infrastructure site picture taken by a photographing device in the target infrastructure area. The video type may represent the infrastructure site video shot by the monitoring device in the target infrastructure area for the infrastructure site data. For example, the monitoring device may be a monitoring camera. In practice, the execution main body may receive the infrastructure site information sent by the detection device through a wired connection or a wireless connection.
In some embodiments, the execution subject may determine a filtering condition according to an information type identifier included in the infrastructure site information, and determine whether the infrastructure site information satisfies the filtering condition. Here, the execution body may select filtering information including a filtering flag identical to the information type flag from a preset filtering information set. The filtering information may be information of infrastructure site information for filtering real-time monitoring of the detection device. The filtering information comprises a filtering identifier and a filtering condition corresponding to the filtering identifier, and the filtering identifier can represent the information type of the capital construction field data. In practice, in response to the information type identifier indicating that the type of the infrastructure field data included in the infrastructure field information is a data type, the filtering condition may be that the infrastructure field data is different from each infrastructure field data included in the infrastructure field information set. In response to that the information type identifier indicates that the type of the infrastructure field data included in the infrastructure field information is a picture type, the filtering condition may be that pixel values of pixels displayed by the infrastructure field data are different. In response to the information type identifier indicating that the type of the infrastructure field data included in the infrastructure field information is a video type, the filtering condition may be that pixel values of pixels displayed in each video frame in the infrastructure field data are different.
Optionally, after the step 2021, in response to the infrastructure site information not satisfying the filtering condition, the infrastructure site information is determined as failure site information.
In some embodiments, the execution subject may determine the capital construction site information as failure site information in response to the capital construction site information not satisfying the filter condition.
In some embodiments, the execution subject may generate a data processing information set corresponding to the infrastructure field information according to the information type identifier in response to the infrastructure field information satisfying the filtering condition.
In practice, the executing body may generate a data processing information set corresponding to the infrastructure site information by:
and step one, responding to the information type identification representing that the type of the capital construction site data included in the capital construction site information is a data type, and selecting the data threshold information meeting the target condition from a preset data threshold information set as target data threshold information. Wherein the target condition is that the device number included in the data threshold information is the same as the device number included in the infrastructure field information. The data threshold information may represent a safety threshold of the infrastructure field data included in the infrastructure field information transmitted by a certain data detection device.
And secondly, generating comparison information according to the capital construction site information and the target data threshold value information. The comparison information may be a comparison result between the capital construction site data included in the capital construction site information and the safety threshold included in the target data threshold information. For example, the infrastructure field data may be PM2.5=100, and the safety threshold may be PM2.5=70, and therefore, the comparison information may be that the infrastructure field data PM2.5 is greater than the safety threshold PM2.5.
And thirdly, adding the comparison information into the data processing information set. Wherein the data processing information set is initially empty.
And fourthly, responding to the fact that the type of the infrastructure field data included in the infrastructure field information represented by the information type identification is a picture type, inputting the infrastructure field data included in the infrastructure field information into a pre-trained picture recognition model, and obtaining at least one piece of recognition information serving as a data processing information set. In practice, in response to that the type of the infrastructure field data is a picture type, at this time, the infrastructure field data may be a infrastructure field picture, and the execution main body may input the infrastructure field picture to a pre-trained picture recognition model to obtain at least one piece of recognition information as a data processing information set. The image recognition model may be a convolutional neural network model or a deep learning network model, which takes a capital-built field image as input and outputs the image as recognition information. The identification information includes an identification result and a device number. The identification result may indicate whether an unsafe factor (e.g., a fire in the target infrastructure site) is present in the target infrastructure area. The device number may be a device number of the watermark display of the infrastructure field picture. As an example, the identification information may be: equipment numbering: a2, recognition result: a fire occurs. The identification information may be: equipment numbering: a1, recognition result: no problems were identified.
Optionally, after the fourth step, in response to that the information type identifier indicates that the type of the infrastructure site data included in the infrastructure site information is a video type, performing video frame extraction processing on the infrastructure site data included in the infrastructure site information to generate the infrastructure site information after video frame extraction as a infrastructure video frame sequence. In practice, in response to that the type of the infrastructure field data is a video type, in this case, the infrastructure field data may be an infrastructure field video, and the execution main body may perform video frame extraction processing on the infrastructure field video to generate infrastructure field information after video frame extraction as a sequence of infrastructure video frames. The video frame extraction process may be to extract each key frame in the infrastructure field data to obtain a sequence of infrastructure video frames. In practice, the executing body may perform the video frame extraction process by using an OpenCV-based keyframe extraction algorithm.
Optionally, after the fourth step, the preset mask map with the same device number as the device number included in the infrastructure field information is selected from the preset mask map set as the target mask map. The preset Mask map in the preset Mask map set may be a preset Mask (Mask) map for masking with the infrastructure video frame. The watermarks of the preset mask images in the preset mask image set can display the equipment numbers.
Optionally, after the fourth step, masking each of the infrastructure video frames in the sequence of infrastructure video frames and the target mask image to generate masked infrastructure video frames as mask video frames, so as to obtain a sequence of mask video frames. The masking may be performed by performing a bit and operation on the infrastructure video frame and the target mask image to obtain a masked video frame.
Optionally, after the fourth step, a preset picture with the same displayed device number as the device number included in the infrastructure site information is selected from the preset picture set as a target preset picture. The preset pictures in the preset picture set can be preset capital construction site pictures after mask processing. The watermark of the preset picture in the preset picture set can display the equipment number.
Optionally, after the fourth step, for each mask video frame in the sequence of mask video frames, performing the following matching step:
a first matching step of determining similarity between the mask video frame and the target preset picture. In practice, first, the execution body may extract feature vectors of the mask video frame and the target default picture using a ResNet-50 depth residual network. Second, the similarity between the feature vector of the mask video frame and the feature vector of the target preset picture may be determined using an euclidean distance calculation formula.
And a second matching step, wherein the mask video frame is determined as an abnormal video frame in response to the similarity being greater than or equal to a preset similarity threshold.
Optionally, after the fourth step, for each determined abnormal video frame, inputting the abnormal video frame to the picture recognition model to generate at least one piece of recognition information as the information group to be processed.
Optionally, after the fourth step, performing deduplication processing on each piece of to-be-processed information included in each generated to-be-processed information group to obtain each deduplicated to-be-processed information group.
Optionally, after the fourth step, the respective information groups to be processed after the deduplication are combined to generate an information set to be processed as a data processing information set. The merging process may be to merge the pieces of to-be-processed information included in the deduplicated pieces of to-be-processed information groups to obtain a to-be-processed information set.
The related contents in the above optional cases are taken as an inventive point of the present disclosure, and the technical problem mentioned in the background art is solved as "when analyzing the video-type infrastructure field data, all pixels of each frame in the video need to be analyzed, and a safe infrastructure area may be analyzed, thereby requiring a long time to analyze the video-type infrastructure field data". The factors that result in the need to spend a long time analyzing the video type of the capital construction live data are as follows: when the video type infrastructure field data is analyzed, all pixels of each frame in the video need to be analyzed, and a safe infrastructure area may be analyzed, so that it takes a long time to analyze the video type infrastructure field data. If the above factors are solved, the effect of reducing the analysis time of the video-type infrastructure field data can be achieved. In order to achieve the effect, firstly, in response to that the information type identifier indicates that the type of the infrastructure site data included in the infrastructure site information is a video type, video frame extraction processing is performed on the infrastructure site data included in the infrastructure site information to generate the infrastructure site information after video frame extraction as a infrastructure video frame sequence. Thus, each frame of the video type of the foundational field data can be analyzed. And secondly, selecting a preset mask image corresponding to the equipment number included in the capital construction site information from a preset mask image set as a target mask image. Therefore, the mask image can be used for shielding the area without unsafe factors in the video frame. And because the safe infrastructure area is shielded, the safe infrastructure area does not need to be analyzed, and the analysis time of the video type infrastructure field data is reduced. Then, each infrastructure video frame in the infrastructure video frame sequence and the target mask image are subjected to masking processing to generate masked infrastructure video frames serving as mask video frames, and a mask video frame sequence is obtained. Thus, each frame after occlusion can be analyzed. And then, selecting a preset picture with the same displayed equipment number as the equipment number included in the infrastructure site information from the preset picture set as a target preset picture. Therefore, similarity comparison can be carried out on each shielded frame and a preset picture, and whether unsafe factors exist in the target infrastructure site information or not is determined. Then, for each mask video frame in the above mask video frame sequence, the following matching steps are performed: determining the similarity between the mask video frame and the target preset picture; determining the mask video frame as an abnormal video frame in response to the similarity being greater than or equal to a preset similarity threshold; and for each determined abnormal video frame, inputting the abnormal video frame into the picture recognition model to generate at least one piece of recognition information as a to-be-processed information group. Therefore, unsafe factors displayed in each frame after being shielded can be obtained. Finally, performing duplicate removal processing on each piece of to-be-processed information included in each generated to-be-processed information group to obtain each duplicate-removed to-be-processed information group; and combining the information groups to be processed after the duplication removal to generate an information set to be processed as a data processing information set. From this, analysis of the video-type, infrastructure live data is completed. The analysis time of the infrastructure live data of the video type is reduced.
In some embodiments, the executing entity may control a rescue device connected with the executing entity through a wired connection or a wireless connection to perform a rescue operation on the target infrastructure area according to the data processing information set. In practice, the executing body may control the rescue device to perform a rescue operation on the target infrastructure area in response to that any one of the data processing information sets is the same as any one of the preset data warning information sets. Wherein, the rescue device can include but is not limited to: spraying equipment and ventilation equipment. As an example, in response to a fire in the target infrastructure area, the rescue device is a spraying device, and the rescue operation may be to control the spraying device to spray water to the fire area in the target infrastructure area. As yet another example, in response to PM2.5 exceeding the target infrastructure area, the rescue equipment is ventilation equipment, and the rescue operation may be controlling ventilation equipment in the target infrastructure area to exhaust air in the target infrastructure area. Here, the ventilation apparatus may include, but is not limited to: a central air conditioner. Such spray devices may include, but are not limited to: fire sprinkler system. The preset data alarm information in the preset data alarm information set can be preset data processing information needing alarm. As an example, in response to that the information type of the infrastructure field data is a data type, the preset data warning information may be: the capital construction field data PM2.5 is larger than the safety threshold value PM2.5. In response to that the information type of the infrastructure field data is a picture type or a video type, the preset data warning information may be: a fire occurs.
In some optional implementations of some embodiments, the executing body may control the associated rescue device to perform a rescue operation on the target infrastructure area by:
a first step of executing, for each piece of data processing information in the set of data processing information, the following control steps:
and a first control step of determining whether the data processing information meets a preset alarm condition. The preset alarm condition may be that the data processing information is the same as any preset data alarm information in a preset data alarm information set.
And a second control step of acquiring a target infrastructure site information set in response to the fact that the data processing information meets a preset alarm condition. The target infrastructure site information set is infrastructure site information monitored by each detection device in the target infrastructure area in real time.
And a third control step of determining whether the alarm information quantity is greater than or equal to the preset alarm information quantity. The alarm information quantity is the quantity of each target infrastructure site information of which the data processing information corresponding to the target infrastructure site information set meets the preset alarm condition.
And a fourth control step of controlling rescue equipment in wired connection or wireless connection with the execution main body to rescue the target infrastructure area in response to the alarm information number being greater than or equal to the preset alarm information number. For example, in response to the data processing information indicating that the target infrastructure area is in fire and the number of the alarm information is greater than or equal to the number of the preset alarm information, the executing body may control the spraying device to spray water to the target infrastructure area for rescue operation.
Optionally, after the fourth control step, in response to that the number of the alarm messages is smaller than the number of the preset alarm messages, the data processing information, the infrastructure site information, and the alarm messages corresponding to the alarm conditions are sent to a monitoring terminal for display. The monitoring terminal may be a terminal connected to the execution main body by wire or wirelessly for displaying information of the target infrastructure area.
The above control steps and optionally related contents serve as an invention point of the present disclosure, and solve the technical problems mentioned in the background art, namely "when the data processing information satisfies the alarm condition, the associated rescue equipment is controlled to perform rescue operation without verifying the data processing information, which results in waste of rescue resources". The factors that cause the waste of rescue resources are as follows: when the data processing information meets the alarm condition, the associated rescue equipment is controlled to carry out rescue operation without verifying the data processing information, so that rescue resources are wasted. If the above factors are solved, the effect of avoiding wasting the rescue resources can be achieved. To achieve this effect, first, for each piece of data processing information in the above-described set of data processing information, the following control steps are performed: firstly, determining whether the data processing information meets a preset alarm condition; and acquiring a target infrastructure site information set in response to the fact that the data processing information meets the preset alarm condition. Therefore, the number of data processing information which meets the alarm condition and corresponds to other infrastructure field information in the target infrastructure area can be determined. Then, whether the alarm information quantity is larger than or equal to the preset alarm information quantity is determined. Therefore, data processing information can be verified according to the comparison result of the alarm information quantity and the preset alarm information quantity, and then the associated rescue equipment is controlled to carry out rescue operation on the target infrastructure area, so that the waste of rescue resources is avoided. Finally, in response to the fact that the number of the alarm messages is larger than or equal to the number of the preset alarm messages, controlling associated rescue equipment to carry out rescue operation on the basic target infrastructure area; and responding to the condition that the number of the alarm messages is smaller than the number of the preset alarm messages, and sending the data processing information, the infrastructure site information and the alarm messages corresponding to the alarm conditions to the monitoring terminal for displaying. Therefore, the authenticity of the data processing information is verified, and the waste of rescue resources is avoided.
And step 203, sending the infrastructure site information set to the associated monitoring terminal for displaying.
In some embodiments, the execution subject may send the set of infrastructure site information to an associated monitoring terminal for display.
Optionally, the infrastructure field information set from which each piece of failure field information is deleted is determined as an updated infrastructure field information set.
In some embodiments, the execution subject may determine, as the updated infrastructure field information set, the infrastructure field information set from which each piece of failure field information is deleted.
Optionally, the updated infrastructure site information sets and the generated respective data processing information sets are stored in an associated database.
In some embodiments, the execution main body may store the update infrastructure field information set and the generated respective data processing information sets in a database connected with the execution main body by wire or wirelessly. The database may be a database for storing the update infrastructure field information set and each data processing information set.
Optionally, for each piece of updated infrastructure field information in the updated infrastructure field information set, in response to the updated infrastructure field information satisfying a preset deletion condition, deleting the updated infrastructure field information in the database and the data processing information set corresponding to the updated infrastructure field information.
In some embodiments, the execution subject may delete, for each of the update infrastructure field information sets, the update infrastructure field information and the data processing information set corresponding to the update infrastructure field information in the database in response to the update infrastructure field information satisfying a preset deletion condition. The preset deleting condition is that the time difference between the information sending time and the current time included in the updated infrastructure field information is greater than or equal to a preset time difference.
The related content in the above options serves as an invention point of the present disclosure, and solves the technical problems mentioned in the background art, that is, when the infrastructure site information stored in the database is too much, the partially useless infrastructure site information is not cleared in time, so that the memory resource is insufficient, and new infrastructure site information cannot be stored continuously. The factors that lead to the inability to continue storing new infrastructure site information are as follows: when the infrastructure site information stored in the database is excessive, part of useless infrastructure site information is not cleared in time, so that the memory resource is insufficient, and new infrastructure site information cannot be stored continuously. If the factors are solved, the effect of avoiding the situation that new infrastructure site information cannot be stored continuously can be achieved. To achieve this effect, first, the infrastructure field information set from which each of the pieces of failure field information is deleted is determined as an updated infrastructure field information set. From this, it is possible to determine the individual infrastructure site information that needs to be stored in the database. Secondly, storing the updated capital construction site information sets and the generated data processing information sets into a related database; and for each piece of updated infrastructure field information in the updated infrastructure field information set, deleting the updated infrastructure field information and the data processing information set corresponding to the updated infrastructure field information in the database in response to the updated infrastructure field information meeting a preset deletion condition. Therefore, the removal of part of useless basic construction site information in the database is completed. And because part of useless basic construction site information in the database is cleared, the storage space of the database can be released, and the condition that new basic construction site information cannot be stored continuously is avoided.
The above embodiments of the present disclosure have the following beneficial effects: through the infrastructure site information processing method of some embodiments of the disclosure, the work safety of workers in the infrastructure area is improved. Specifically, the reason why the work safety of workers in the infrastructure area is low is that: unsafe factors in the infrastructure area (for example, PM2.5 in the infrastructure area exceeds standard and a fire disaster occurs) cannot be found in time in a manual patrol mode, so that the working safety of workers in the infrastructure area is low. Based on this, the infrastructure field information processing method according to some embodiments of the present disclosure includes, first, receiving infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area, and obtaining an infrastructure field information set. Therefore, data support can be provided for analyzing the infrastructure site information. Secondly, for each piece of infrastructure site information in the infrastructure site information set, the following processing steps are executed: firstly, according to the information type identification included in the infrastructure site information, determining a filtering condition, and determining whether the infrastructure site information meets the filtering condition. Therefore, the infrastructure site information meeting the filtering condition can be analyzed. And secondly, responding to the fact that the infrastructure site information meets the filtering condition, and generating a data processing information set corresponding to the infrastructure site information according to the information type identification. Thus, it may be determined from the generated set of data processing information whether unsafe factors exist for the target infrastructure area. And then, controlling the associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set. Therefore, the target infrastructure area can be rescued when unsafe factors exist in the target infrastructure area. And finally, sending the infrastructure field information set to a related monitoring terminal for displaying. Therefore, the analysis of the infrastructure site information is completed. The work safety of staff in the capital construction region is improved.
With further reference to fig. 3, as an implementation of the methods illustrated in the above figures, the present disclosure provides some embodiments of a infrastructure field information processing apparatus, which correspond to those of the method embodiments illustrated in fig. 2, and which may be applied in various electronic devices in particular.
As shown in fig. 3, the infrastructure field information processing apparatus 300 of some embodiments includes: a receiving unit 301, a processing unit 302 and a transmitting unit 303. The receiving unit 301 is configured to receive infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area, to obtain a infrastructure field information set, where the infrastructure field information in the infrastructure field information set includes an information type identifier; the processing unit 302 is configured to perform the following processing steps for each of the set of infrastructure site information: determining a filtering condition according to an information type identifier included in the infrastructure field information, and determining whether the infrastructure field information meets the filtering condition; responding to the fact that the capital construction site information meets the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification; controlling associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set; the transmitting unit 303 is configured to transmit the set of infrastructure site information to an associated monitoring terminal for display.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
Referring now to FIG. 4, shown is a block diagram of an electronic device (such as computing device 101 shown in FIG. 1) 400 suitable for use in implementing some embodiments of the present disclosure. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM403 are connected to each other through a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 405 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 408 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device 400 to communicate with other devices, either wirelessly or by wire, to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may be alternatively implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing device 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: and receiving infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area to obtain a infrastructure field information set, wherein the infrastructure field information in the infrastructure field information set comprises an information type identifier. For each piece of capital construction site information in the capital construction site information set, executing the following processing steps: determining a filtering condition according to an information type identifier included in the infrastructure site information, and determining whether the infrastructure site information meets the filtering condition; responding to the capital construction site information meeting the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification; and controlling the associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set. And sending the infrastructure site information set to an associated monitoring terminal for displaying.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes a receiving unit, a processing unit, and a transmitting unit. Where the names of these units do not in some cases constitute a limitation on the unit itself, for example, the sending unit may also be described as a "unit that sends the above-mentioned set of infrastructure site information to the associated monitoring terminal for display".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) the features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (7)
1. A method for processing information of a capital construction site comprises the following steps:
receiving infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area to obtain an infrastructure field information set, wherein the infrastructure field information in the infrastructure field information set comprises an information type identifier;
for each piece of capital construction site information in the capital construction site information set, executing the following processing steps:
determining a filtering condition according to an information type identifier included in the infrastructure field information, and determining whether the infrastructure field information meets the filtering condition;
responding to the capital construction site information meeting the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification;
controlling associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set;
and sending the infrastructure site information set to an associated monitoring terminal for display.
2. The method of claim 1, wherein the processing step further comprises:
and determining the capital construction site information as failure site information in response to the capital construction site information not meeting the filtering condition.
3. The method of claim 1, wherein the capital field information further comprises capital field data and a device number; and
generating a data processing information set corresponding to the infrastructure site information according to the information type identifier, wherein the data processing information set comprises:
responding to the fact that the type of the infrastructure field data included in the infrastructure field information represented by the information type identification is a data type, and selecting data threshold information meeting target conditions from a preset data threshold information set as target data threshold information, wherein the target conditions are that the equipment number included in the target data threshold information is the same as the equipment number included in the infrastructure field information;
generating comparison information according to the capital construction site information and the target data threshold value information;
adding the comparison information to a data processing information set, wherein the data processing information set is initially empty.
4. The method of claim 3, wherein the generating a data processing information set corresponding to the infrastructure field information according to the information type identifier further comprises:
and responding to the information type identification representing that the type of the capital construction site data included in the capital construction site information is a picture type, inputting the capital construction site data included in the capital construction site information into a pre-trained picture recognition model, and obtaining at least one piece of recognition information as a data processing information set.
5. A infrastructure site information processing apparatus comprising:
the system comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is configured to receive infrastructure field information sent by at least one detection device in a detection device set in a target infrastructure area to obtain an infrastructure field information set, and the infrastructure field information in the infrastructure field information set comprises an information type identifier;
a processing unit configured to perform, for each of the set of infrastructure site information, the following processing steps: determining a filtering condition according to an information type identifier included in the infrastructure field information, and determining whether the infrastructure field information meets the filtering condition; responding to the capital construction site information meeting the filtering condition, and generating a data processing information set corresponding to the capital construction site information according to the information type identification; controlling associated rescue equipment to carry out rescue operation on the target infrastructure area according to the data processing information set;
a transmitting unit configured to transmit the set of infrastructure site information to an associated monitoring terminal for display.
6. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.
7. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210809862.3A CN115546677B (en) | 2022-07-11 | 2022-07-11 | Method, apparatus, device and computer readable medium for processing information of construction site |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210809862.3A CN115546677B (en) | 2022-07-11 | 2022-07-11 | Method, apparatus, device and computer readable medium for processing information of construction site |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115546677A true CN115546677A (en) | 2022-12-30 |
| CN115546677B CN115546677B (en) | 2023-10-24 |
Family
ID=84724068
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210809862.3A Active CN115546677B (en) | 2022-07-11 | 2022-07-11 | Method, apparatus, device and computer readable medium for processing information of construction site |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115546677B (en) |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103259206A (en) * | 2012-11-01 | 2013-08-21 | 上海申瑞电网控制系统有限公司 | Transformer substation operation safety management and control system based on computer vision locating technology |
| US9424545B1 (en) * | 2015-01-15 | 2016-08-23 | Hito Management Company | Geospatial construction task management system and method |
| US20180232592A1 (en) * | 2017-02-13 | 2018-08-16 | Google Inc. | Automatic detection of zones of interest in a video |
| WO2019113510A1 (en) * | 2017-12-07 | 2019-06-13 | Bluhaptics, Inc. | Techniques for training machine learning |
| CN110287917A (en) * | 2019-06-28 | 2019-09-27 | 广东电网有限责任公司 | The security management and control system and method in capital construction building site |
| CN110889334A (en) * | 2019-11-06 | 2020-03-17 | 江河瑞通（北京）技术有限公司 | Personnel intrusion identification method and device |
| CN211266994U (en) * | 2019-12-18 | 2020-08-14 | 广西电网有限责任公司电力科学研究院 | Power production operation video monitoring system suitable for capital construction site |
| CN112150650A (en) * | 2020-09-07 | 2020-12-29 | 海南聚能科技创新研究院有限公司 | Highway mileage charging management cloud platform based on big dipper high accuracy |
| CN112348339A (en) * | 2020-10-28 | 2021-02-09 | 国网信通亿力科技有限责任公司 | Power distribution network planning method based on big data analysis |
| CN112578907A (en) * | 2020-12-01 | 2021-03-30 | 国电湖南巫水水电开发有限公司 | Method and device for realizing remote guidance operation based on AR |
| CN112668475A (en) * | 2020-12-28 | 2021-04-16 | 苏州科达科技股份有限公司 | Personnel identity identification method, device, equipment and readable storage medium |
| CN112883783A (en) * | 2021-01-12 | 2021-06-01 | 普联国际有限公司 | Video concentration method and device, terminal equipment and storage medium |
| CN113011833A (en) * | 2021-01-15 | 2021-06-22 | 广州穗能通能源科技有限责任公司 | Safety management method and device for construction site, computer equipment and storage medium |
| CN113556377A (en) * | 2021-04-27 | 2021-10-26 | 中国船舶重工集团公司第七一六研究所 | Ship outfield coating environment monitoring system |
| US20210357644A1 (en) * | 2020-05-18 | 2021-11-18 | Adobe Inc. | Explanatory visualizations for object detection |
| CN113988509A (en) * | 2021-09-24 | 2022-01-28 | 国网浙江省电力有限公司金华供电公司 | Capital construction site system material regulation and control management system and method |
| CN114078224A (en) * | 2021-09-29 | 2022-02-22 | 国网浙江省电力有限公司 | Infrastructure field monitoring system and method based on 5G network architecture |
| CN114089683A (en) * | 2021-09-30 | 2022-02-25 | 国网浙江省电力有限公司 | Infrastructure field environment monitoring system and method based on 5G network architecture |
| CN114419213A (en) * | 2022-01-24 | 2022-04-29 | 北京字跳网络技术有限公司 | Image processing method, device, equipment and storage medium |
-
2022
- 2022-07-11 CN CN202210809862.3A patent/CN115546677B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103259206A (en) * | 2012-11-01 | 2013-08-21 | 上海申瑞电网控制系统有限公司 | Transformer substation operation safety management and control system based on computer vision locating technology |
| US9424545B1 (en) * | 2015-01-15 | 2016-08-23 | Hito Management Company | Geospatial construction task management system and method |
| US20180232592A1 (en) * | 2017-02-13 | 2018-08-16 | Google Inc. | Automatic detection of zones of interest in a video |
| WO2019113510A1 (en) * | 2017-12-07 | 2019-06-13 | Bluhaptics, Inc. | Techniques for training machine learning |
| CN110287917A (en) * | 2019-06-28 | 2019-09-27 | 广东电网有限责任公司 | The security management and control system and method in capital construction building site |
| CN110889334A (en) * | 2019-11-06 | 2020-03-17 | 江河瑞通（北京）技术有限公司 | Personnel intrusion identification method and device |
| CN211266994U (en) * | 2019-12-18 | 2020-08-14 | 广西电网有限责任公司电力科学研究院 | Power production operation video monitoring system suitable for capital construction site |
| US20210357644A1 (en) * | 2020-05-18 | 2021-11-18 | Adobe Inc. | Explanatory visualizations for object detection |
| CN112150650A (en) * | 2020-09-07 | 2020-12-29 | 海南聚能科技创新研究院有限公司 | Highway mileage charging management cloud platform based on big dipper high accuracy |
| CN112348339A (en) * | 2020-10-28 | 2021-02-09 | 国网信通亿力科技有限责任公司 | Power distribution network planning method based on big data analysis |
| CN112578907A (en) * | 2020-12-01 | 2021-03-30 | 国电湖南巫水水电开发有限公司 | Method and device for realizing remote guidance operation based on AR |
| CN112668475A (en) * | 2020-12-28 | 2021-04-16 | 苏州科达科技股份有限公司 | Personnel identity identification method, device, equipment and readable storage medium |
| CN112883783A (en) * | 2021-01-12 | 2021-06-01 | 普联国际有限公司 | Video concentration method and device, terminal equipment and storage medium |
| CN113011833A (en) * | 2021-01-15 | 2021-06-22 | 广州穗能通能源科技有限责任公司 | Safety management method and device for construction site, computer equipment and storage medium |
| CN113556377A (en) * | 2021-04-27 | 2021-10-26 | 中国船舶重工集团公司第七一六研究所 | Ship outfield coating environment monitoring system |
| CN113988509A (en) * | 2021-09-24 | 2022-01-28 | 国网浙江省电力有限公司金华供电公司 | Capital construction site system material regulation and control management system and method |
| CN114078224A (en) * | 2021-09-29 | 2022-02-22 | 国网浙江省电力有限公司 | Infrastructure field monitoring system and method based on 5G network architecture |
| CN114089683A (en) * | 2021-09-30 | 2022-02-25 | 国网浙江省电力有限公司 | Infrastructure field environment monitoring system and method based on 5G network architecture |
| CN114419213A (en) * | 2022-01-24 | 2022-04-29 | 北京字跳网络技术有限公司 | Image processing method, device, equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| ANG LI等: "Abnormal event detection in surveillance videos based on low-rank and compact coefficient dictionary learning", 《PATTERN RECOGNITION》, pages 1 - 16 * |
| 施联宾: "基于机器视觉的立井提升系统关键部件运行状态监测研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》, vol. 2022, no. 3, pages 021 - 797 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115546677B (en) | 2023-10-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2020000879A1 (en) | Image recognition method and apparatus | |
| CN108830837B (en) | Method and device for detecting steel ladle corrosion defect | |
| JP6355683B2 (en) | Risk early warning method, apparatus, storage medium, and computer program | |
| CN113033529A (en) | Early warning method and device based on image recognition, electronic equipment and medium | |
| CN115766401B (en) | Industrial alarm information analysis method and device, electronic equipment and computer medium | |
| CN116664849B (en) | Data processing method, device, electronic equipment and computer readable medium | |
| CN115375855B (en) | Engineering project visualization method and device, electronic equipment and readable medium | |
| CN115546677B (en) | Method, apparatus, device and computer readable medium for processing information of construction site | |
| CN113808134B (en) | Oil tank layout information generation method, oil tank layout information generation device, electronic apparatus, and medium | |
| CN111898529B (en) | Face detection method and device, electronic equipment and computer readable medium | |
| CN112434619B (en) | Case information extraction method, apparatus, device and computer readable medium | |
| CN111726476B (en) | Image processing method, device, equipment and computer readable medium | |
| CN111586295B (en) | Image generation method and device and electronic equipment | |
| CN114661807A (en) | Method, device, equipment and medium for processing abnormity of flight management system | |
| CN113379006A (en) | Image recognition method and device, electronic equipment and computer readable medium | |
| CN112883816A (en) | Information pushing method and device | |
| CN110991312A (en) | Method, apparatus, electronic device, and medium for generating detection information | |
| CN111191593A (en) | Image target detection method and device, storage medium and sewage pipeline detection device | |
| CN116824348B (en) | Hidden danger information generation method, hidden danger information generation device, electronic equipment and computer readable medium | |
| CN111815656B (en) | Video processing method, apparatus, electronic device and computer readable medium | |
| CN113537028B (en) | Control method, apparatus, device and medium for face recognition system | |
| CN115587593B (en) | Information extraction method, information extraction device, electronic equipment and computer readable medium | |
| CN116881097B (en) | User terminal alarm method, device, electronic equipment and computer readable medium | |
| CN116137073B (en) | Remote intelligent selective examination method for electric power materials and equipment materials, electronic equipment and medium | |
| CN115292081B (en) | Information sending method, device, electronic equipment and medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |