CN115034691A - Oil and gas station safety early warning and management method and device, electronic equipment and medium - Google Patents

Oil and gas station safety early warning and management method and device, electronic equipment and medium Download PDF

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CN115034691A
CN115034691A CN202210958075.5A CN202210958075A CN115034691A CN 115034691 A CN115034691 A CN 115034691A CN 202210958075 A CN202210958075 A CN 202210958075A CN 115034691 A CN115034691 A CN 115034691A
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陈友明
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Sichuan Honghe Communication Group Co ltd
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Abstract

The invention relates to a safety early warning and management method and device for an oil and gas station, electronic equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of obtaining a video to be processed of the oil and gas station, and identifying, early warning and managing oil unloading operation, inspection operation, hidden danger risk, training event, drilling event, attendance, flow and equipment use according to the video to be processed. By the method, the information of oil discharge operation, inspection operation, hidden danger risk, training event, drilling event, attendance, flow, equipment use and the like is managed through the report, and data management is facilitated.

Description

Oil and gas station safety early warning and management method, device, electronic equipment and medium
Technical Field
The invention relates to the technical field of computer software, in particular to a safety early warning and management method and device for an oil and gas station, electronic equipment and a medium.
Background
The oil gas station provides petrol, kerosene, diesel oil, liquefied petroleum gas for the vehicle, and the effective management and the safety precaution of oil gas station are very important, and among the prior art, there is not the scheme of carrying out effective management and safety precaution to the oil gas station yet.
Disclosure of Invention
The invention aims to solve at least one technical problem by providing a safety early warning and management method, a safety early warning and management device, an electronic device and a medium for an oil and gas station.
In a first aspect, the technical solution for solving the above technical problem of the present invention is as follows: a safety early warning and management method for an oil and gas station comprises the following steps:
acquiring a video to be processed of an oil and gas station;
if the video to be processed comprises the oil unloading operation, identifying whether illegal operation exists in the oil unloading operation process, if so, performing oil unloading early warning according to the illegal operation, determining the illegal times, and recording the illegal times into an oil unloading operation early warning report form;
if the video to be processed comprises the inspection operation, determining an inspection result of the inspection operation in the video to be processed, performing inspection early warning according to the inspection result and recording the inspection result into an inspection operation early warning report form;
identifying whether a hidden danger risk event exists in the video to be processed, if so, carrying out hidden danger early warning and recording the occurrence frequency of the hidden danger risk event into a hidden danger risk early warning report form;
if the video to be processed comprises training events, determining the training times of the training events in the video to be processed, and recording the training times into a training management report;
if the to-be-processed video comprises the drilling event, determining the drilling times of the drilling event in the to-be-processed video, and recording the drilling times into a drilling management report form;
if the to-be-processed video is the video acquired during the attendance checking time, determining the attendance checking information of the oil and gas station according to the to-be-processed video, and recording the attendance checking information into an attendance checking management report;
determining the flow in the video to be processed, and recording the flow into a flow statistical report, wherein the flow comprises at least one of traffic flow and passenger flow;
and if the video to be processed comprises the equipment in the oil and gas station, determining the relevant use information of each equipment in the video to be processed, and recording the relevant use information of each equipment into an equipment early warning report.
The invention has the beneficial effects that: the collected videos to be processed of the oil and gas stations are analyzed, comprehensive management and safety early warning can be carried out on the oil and gas stations based on different conditions (oil unloading operation, inspection operation, hidden danger risk, training events, drilling events, attendance checking, flow and equipment use), and reports are correspondingly generated based on different conditions so as to facilitate daily management.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, if there is a hidden danger event in the video to be processed, the method further includes:
and determining the hidden danger risk type of the hidden danger risk event according to the video to be processed.
The method has the advantages that based on the hidden danger risk types, the type of the hidden danger risk event can be more clearly determined, so that the working personnel can take corresponding measures according to the risk types.
Further, the method also includes:
if the illegal operation exists in the video to be processed, determining the number of illegal operations corresponding to different oil unloading operation early warning levels in the oil unloading operation process and recording the number of illegal operations into the oil unloading operation early warning report;
if the video to be processed comprises the routing inspection operation, determining early warning times corresponding to different routing inspection early warning levels according to the routing inspection result, and recording the early warning times corresponding to the different routing inspection early warning levels in a routing inspection operation early warning report form;
and if the hidden danger risk event exists in the video to be processed, determining the occurrence frequency of the hidden danger risk event corresponding to different hidden danger early warning levels, and recording the occurrence frequency of the hidden danger risk event corresponding to the different hidden danger early warning levels into the hidden danger risk early warning report.
The beneficial effect of adopting the further scheme is that in the process of oil unloading operation early warning, inspection early warning and hidden danger risk early warning, the times corresponding to different oil unloading operation early warning levels, inspection early warning levels and hidden danger risk early warning levels can be counted and recorded respectively, so that the working personnel can know the conditions of various affairs in the oil and gas station more accurately.
Further, the method also includes:
and acquiring a first processing result aiming at the illegal operation according to the illegal operation, and recording the first processing result in the oil discharge operation early warning report.
The method has the advantages that the first processing result of the illegal operation is recorded through the oil unloading operation early warning report form, and the first processing result of the oil unloading operation can be conveniently inquired and the like.
Further, the method also includes:
and if the hidden danger risk event exists in the video to be processed, determining a second processing result of the hidden danger risk event, and recording the second processing result in the hidden danger risk early warning report.
The beneficial effect of adopting the further scheme is that the second processing result of the hidden danger risk event is recorded through the hidden danger risk early warning report form, so that the second processing result can be conveniently inquired and the like.
Further, the method also includes:
and determining a third processing result corresponding to the inspection result for performing inspection early warning according to the inspection result, and recording the third processing result in the inspection operation early warning report.
The beneficial effect of adopting above-mentioned further scheme is that, through patrolling and examining the third processing result that the early warning's of patrolling and examining result corresponds of patrolling and examining operation pre-alarm record, can be convenient for carry out processing such as inquiry to the third processing result.
Further, the method further comprises:
taking the oil unloading operation early warning report form, the inspection operation early warning report form, the hidden danger risk early warning report form, the training management report form, the exercise management report form, the attendance management report form, the flow statistics report form and the equipment early warning report form as safety statistics report forms of the oil and gas station;
and determining the report management authority of the safety statistical report according to each role in the oil and gas station.
The method has the advantages that the report management authority of the safety statistical report is set according to different angles, and the safety of data in the safety statistical report can be guaranteed.
In a second aspect, the present invention provides a safety pre-warning and management device for an oil and gas station to solve the above technical problems, the device comprising:
the video acquisition module is used for acquiring a to-be-processed video of the oil and gas station;
the oil discharge early warning module is used for identifying whether illegal operation exists in the oil discharge operation process when the video to be processed comprises the oil discharge operation, if the illegal operation exists, performing oil discharge early warning according to the illegal operation, determining the number of illegal operations, and recording the number of illegal operations into an oil discharge operation early warning report form;
the inspection early warning module is used for determining an inspection result of inspection operation in the video to be processed when the video to be processed comprises the inspection operation, performing inspection early warning according to the inspection result and recording the inspection result into an inspection operation early warning report;
the hidden danger risk identification module is used for identifying whether a hidden danger risk event exists in the video to be processed, and if the hidden danger event exists, carrying out hidden danger risk early warning and recording the occurrence frequency of the hidden danger risk event into a hidden danger risk early warning report form;
the training management module is used for determining the training times of training events in the video to be processed when the video to be processed comprises the training events and recording the training times into a training management report form;
the drilling management module is used for determining the drilling times of the drilling events in the video to be processed when the video to be processed comprises the drilling events and recording the drilling times into a drilling management report form;
the attendance management module is used for determining attendance information of the oil and gas station according to the video to be processed when the video to be processed is the video acquired during the attendance time, and recording the attendance information into an attendance management report form;
the traffic management module is used for determining the traffic in the video to be processed and recording the traffic into a traffic statistical report, wherein the traffic comprises at least one of traffic flow and passenger flow;
and the equipment management module is used for determining the relevant use information of each equipment in the video to be processed when the video to be processed comprises the equipment in the oil and gas station, and recording the relevant use information of each equipment into an equipment early warning report.
In a third aspect, the present invention provides an electronic device to solve the above technical problem, where the electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for safety warning and management of an oil and gas station according to the present application is implemented.
In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the method for safety warning and management of an oil and gas station according to the present application.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly described below.
Fig. 1 is a schematic flow chart of a safety warning and management method for an oil and gas station according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an oil and gas station safety early warning and management device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with examples which are set forth to illustrate, but are not to be construed to limit the scope of the invention.
The technical solution of the present invention and how to solve the above technical problems will be described in detail with specific embodiments below. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present invention will be described below with reference to the accompanying drawings.
The scheme provided by the embodiment of the invention can be applied to any application scene needing safety early warning and management of the oil and gas station. The scheme provided by the embodiment of the invention can be executed by any electronic equipment, for example, the scheme can be a terminal device of a user, the terminal device can be any terminal device which can be provided with an application and can carry out human body posture evaluation through the application, and the scheme comprises at least one of the following items: smart phones, tablet computers, notebook computers, desktop computers, smart speakers, smart watches, smart televisions, and smart car-mounted devices.
The embodiment of the invention provides a possible implementation manner, and as shown in fig. 1, provides a flow chart of a safety early warning and management method for an oil and gas station, and the scheme can be executed by any electronic device, for example, a terminal device, or a terminal device and a server together. For convenience of description, the method provided by the embodiment of the present invention will be described below by taking a terminal device as an execution subject, and as shown in the flowchart shown in fig. 1, the method may include the following steps:
step S110, acquiring a video to be processed of an oil and gas station;
step S120, if the video to be processed comprises an oil unloading operation, identifying whether the illegal operation exists in the oil unloading operation process, if the illegal operation exists, performing oil unloading early warning according to the illegal operation, determining the illegal times, and recording the illegal times into an oil unloading operation early warning report form;
step S130, if the video to be processed comprises the inspection operation, determining an inspection result of the inspection operation in the video to be processed, carrying out inspection early warning according to the inspection result and recording the inspection result into an inspection operation early warning report;
step S140, identifying whether a hidden danger risk event exists in the video to be processed, if so, performing hidden danger risk early warning and recording the occurrence frequency of the hidden danger risk event into a hidden danger risk early warning report;
step S150, if the video to be processed comprises a training event, determining the training times of the training event in the video to be processed, and recording the training times into a training management report;
step S160, if the video to be processed comprises a drilling event, determining the drilling times of the drilling event in the video to be processed, and recording the drilling times into a drilling management report form;
step S170, if the video to be processed is the video obtained during the attendance checking time, determining the attendance checking information of the oil and gas station according to the video to be processed, and recording the attendance checking information into an attendance checking management report;
step S180, determining the flow in the video to be processed, and recording the flow into a flow statistical report, wherein the flow comprises at least one of traffic flow and passenger flow;
and step S190, if the video to be processed comprises the equipment in the oil and gas station, determining the relevant use information of each equipment in the video to be processed, and recording the relevant use information of each equipment into an equipment early warning report.
By the method, the collected videos to be processed of the oil and gas station are analyzed, comprehensive management and safety early warning can be performed on the oil and gas station based on different conditions (oil unloading operation, routing inspection operation, hidden danger risk, training event, drilling event, attendance, flow and equipment use), and reports are correspondingly generated based on different conditions so as to facilitate daily management.
The scheme of the invention is further described with reference to the following specific embodiments, in which the method for safety warning and management of an oil and gas station may include the following steps:
step S110, acquiring a video to be processed of an oil and gas station;
the video to be processed can be acquired in real time through an image acquisition device (such as a camera) installed in the oil and gas station.
And step S120, if the video to be processed comprises the oil unloading operation, identifying whether the illegal operation exists in the oil unloading operation process, if the illegal operation exists, performing oil unloading early warning according to the illegal operation, determining the illegal times, and recording the illegal times into an oil unloading operation early warning report.
The standard operation standard of oil discharge in the oil discharge operation process can be compared with the standard operation standard based on each frame image of the oil discharge operation in the video to be processed to judge whether the illegal operation exists in the oil discharge operation process, if the current oil discharge operation is not matched with the standard operation standard, the illegal operation can be determined, otherwise, if the current oil discharge operation is matched with the standard operation standard, the illegal operation can be determined not to exist. If the illegal operation exists, oil discharge early warning can be carried out, for example, early warning information is sent to related personnel, and the early warning information can be recorded and managed through an oil discharge operation early warning table.
Optionally, if the illegal operation exists in the video to be processed, determining the number of illegal operations corresponding to different oil discharge operation early warning levels according to the illegal operation, and recording the number of illegal operations in the oil discharge operation early warning report.
See, as an example, the oil discharge job warning statement shown in table 1.
TABLE 1 early warning report form for oil discharge operation
Figure 21775DEST_PATH_IMAGE001
In table 1, the number of operation violation warnings (number of violations) is 225, among which 91 times of oil-discharge operation warnings are illegal operations with general warnings, 89 times of oil-discharge operation warnings are illegal operations with larger warnings, and 45 times of oil-discharge operation warnings are illegal operations with major warnings. The supervised evaluation rate refers to the evaluation rate of the managers (supervisors) at the company end to these early warnings.
The oil discharge operation early warning report can also record the oil discharge times within a period of time (which can be day, week, month, season or year).
Optionally, the method further includes:
and acquiring a first processing result aiming at the illegal operation according to the illegal operation, and recording the first processing result in the oil unloading operation early warning report.
The oil discharge operation early warning report can also record first processing results (cleared early warning and non-cleared early warning) of violation early warning, including the number of violation operations corresponding to automatic intervention and clearing, the number of violation operations corresponding to manual intervention and clearing, the number of violation operations corresponding to management intervention and clearing and the number of violation operations not cleared early warning. The oil discharge operation early warning report can also record the evaluation times (including the evaluation times and the evaluated times) of each oil discharge operation. In addition, the on-time release rate and the unreleased rate can be determined based on the violation times and the first processing result corresponding to different oil discharge operation early warning levels.
Step S130, if the video to be processed comprises the inspection operation, determining the inspection result of the inspection operation in the video to be processed, performing inspection early warning according to the inspection result and recording the inspection result into an inspection operation early warning report.
The inspection operation refers to inspection of the working state of each device in the oil and gas station so as to find out whether fault devices, damaged devices and the like exist in each device. The inspection result indicates whether there is a device that may not operate normally or may not operate normally, such as a faulty device or a damaged device, in each device. And dividing different inspection early warning levels according to the inspection result, counting the inspection times corresponding to the different inspection early warning levels, and recording the inspection times in an inspection operation early warning report.
Optionally, if the video to be processed includes the inspection operation, determining the early warning times corresponding to different inspection early warning levels according to the inspection result, and recording the early warning times corresponding to the different inspection early warning levels in the inspection operation early warning report. Wherein, the inspection result comprises equipment failure, equipment damage and equipment expiration.
See, as an example, the patrol job warning report table shown in table 2.
TABLE 2 patrol inspection work early-warning report form
Figure 973551DEST_PATH_IMAGE002
In table 2, the total number of the patrol inspection early warning times is 225, wherein 91 patrol inspection early warning levels are patrol inspection times of general early warning, 89 patrol inspection early warning levels are patrol inspection times of large early warning, and 45 patrol inspection early warning levels are patrol inspection times of major early warning. If a certain fire-fighting equipment is found to be out of date during inspection and needs to be purchased, a purchase work order needs to be lifted to be examined and approved by leaders, and the purchase work order can be a manually generated work order or an automatically generated work order.
The number of scheduled patrolling times in a period of time can be recorded in the patrolling operation early warning report, and the number of scheduled patrolling times can comprise the number of patrolled times and the number of non-patrolling times.
Optionally, in the scheme of the application, a third processing result of the inspection early warning may be recorded in the inspection work early warning report, where the third processing result includes the number of processes of the inspection early warning corresponding to the equipment failure, the number of processes of the inspection early warning corresponding to the equipment damage, and the number of processes of the inspection early warning corresponding to the equipment expiration.
The inspection operation early warning report form can also record the quantity statistics of the automatically generated work order number and the manually generated work order number, wherein the automatically generated work order number comprises the quantity of the processed work order and the quantity of the unprocessed work order, and the manually generated work order number also comprises the quantity of the processed work order and the quantity of the unprocessed work order. Wherein, the work order is a work order for purchasing or maintaining equipment by lifting the work order when the equipment needs to be maintained or purchased. In addition, the timely relieving rate and the non-relieving rate can be determined based on the polling times and the third processing results corresponding to different polling early warning levels, the processing rate of the work order is calculated according to the processed quantity and the unprocessed quantity in the work order, and the timely relieving rate, the non-relieving rate and the processing rate of the work order are recorded in the polling operation early warning report form.
And step S140, identifying whether a hidden danger risk event exists in the video to be processed, if so, carrying out hidden danger risk early warning and recording the occurrence frequency of the hidden danger risk event into a hidden danger risk early warning report.
The hidden danger event refers to an event that may cause a safety hazard, such as smoking. The method can be used for carrying out image identification on the basis of each frame of image in the video to be processed, and identifying hidden danger events in the video.
See, as an example, the hidden danger risk early warning report table shown in table 3.
TABLE 3 hidden danger Risk early warning report form
Figure 774016DEST_PATH_IMAGE003
In table 3, the total number of times (pre-warning times) of occurrence of the hidden danger events and the number of times of occurrence corresponding to different hidden danger pre-warning levels can be recorded in the hidden danger pre-warning report, the total number of times of occurrence of the hidden danger events is 225, wherein 91 times of occurrence of the hidden danger pre-warning levels are general pre-warning, 89 times of occurrence of the hidden danger pre-warning levels are large pre-warning, and 45 times of occurrence of the hidden danger pre-warning levels are major pre-warning.
Optionally, the hidden danger risk early warning report may further record the occurrence frequency of hidden danger events corresponding to different hidden danger types, where the hidden danger types include operation violation risks, input risks, and equipment failure risks.
Optionally, in the solution of the present application, a second processing result (that is, the hidden danger risk is removed) of the hidden danger risk event may also be recorded in the hidden danger risk early warning report, where the second processing result includes a processing number for automatically removing the corresponding hidden danger risk event by intervention, a processing number for manually removing the corresponding hidden danger risk event by intervention, a processing number for managing and removing the corresponding hidden danger risk event by intervention, and a processing number for removing the corresponding hidden danger risk event at regular time.
And S150, if the video to be processed comprises the training event, determining the training times of the training event in the video to be processed, and recording the training times into a training management report.
Wherein the training event refers to an event for training workers of the oil and gas station.
See, as an example, the training management report shown in table 4.
TABLE 4 training management report
Figure 716827DEST_PATH_IMAGE004
In table 4, the planned training person number and the training evaluation number corresponding to the training event may be recorded, where the planned training person number includes an actual training person number and an untrained person number, and the training overall completion rate and the untrained rate may be calculated based on the actual training person number and the untrained person number.
Step S160, if the video to be processed comprises the drilling event, determining the drilling times of the drilling event in the video to be processed, and recording the drilling times into a drilling management report form.
Wherein the drilling event refers to a safety drilling event performed by an oil and gas station.
See, as an example, the drill-management report shown in table 5.
Table 5 drill management report
Figure 110899DEST_PATH_IMAGE005
In table 5, the number of drills (planned number of drills) includes the actual number of drills and the number of non-drills, and the overall drill completion rate and non-drill rate can be determined from the actual number of drills and the number of non-drills.
And S170, if the to-be-processed video is the video acquired during the attendance time, determining the attendance information of the oil and gas station according to the to-be-processed video, and recording the attendance information into an attendance management report.
The attendance information of the user corresponding to the face image can be obtained based on the recognition result of the face image in the video, for example, the video (to-be-processed video) of one user is obtained through an image acquisition device of an attendance system, the acquisition time of the video is recorded, the face image in the to-be-processed video is recognized, the similarity degree between the face feature of the recognized face image and each face feature stored in advance is determined, the identity information corresponding to the face feature with the similarity degree larger than a preset value in each similarity degree is determined as the identity of the user in the video, and the video acquisition time is used as the attendance information of the user.
See, as one example, the attendance management report shown in table 6.
Table 6 attendance management report form
Figure 928682DEST_PATH_IMAGE006
In table 6, the attendance information includes the number of the staff on duty and the number of the staff on duty, the number of the staff on duty includes the number of the staff on duty and the number of the staff out of duty, the staff on duty rate can be calculated according to the number of the staff on duty and the number of the staff out of duty, and the staff on duty rate can be calculated according to the number of the staff on duty and the number of the staff out of duty.
And step S180, determining the flow in the video to be processed, and recording the flow into a flow statistical report, wherein the flow comprises at least one of the traffic flow and the passenger flow.
The method comprises the steps of identifying a vehicle or a person in a video to be processed based on an image identification algorithm, and then counting to obtain the traffic volume or the passenger volume in a period of time.
See, as an example, the traffic statistics table shown in table 7.
Table 7 flow statistics report
Figure 318075DEST_PATH_IMAGE007
In table 7, the traffic statistics report includes the traffic volume, the passenger volume, and the total number of the traffic volume and the passenger volume, and the arrival rate and the fueling rate may also be recorded in the traffic statistics report. Wherein, the refueling rate = refueling vehicle/inbound vehicle, and the inbound rate = inbound vehicle/total vehicle.
And step S190, if the to-be-processed video comprises the equipment in the oil and gas station, determining the relevant use information of each equipment in the to-be-processed video, and recording the relevant use information of each equipment into an equipment early warning report.
Wherein, each equipment can include level gauge, oil gas anti-side leakage device, oil gas recovery unit and other equipment. The devices included in the video to be processed may be identified by an image recognition algorithm. The related usage information includes the total number of devices of the same type, the device online rate, the failure rate, the number of early warning times, the early warning on-time release rate, and the early warning unreleased rate, which may be specifically referred to in the device early warning report table shown in table 8.
Table 8 equipment early warning report form
Figure 805689DEST_PATH_IMAGE008
In this application scheme, discernment whether there is the illegal operation among the oil discharge operation process, confirms patrol and examine result, the discernment of operation in the pending video whether there is hidden danger risk event, definite in the pending video training number of times, the affirmation of training the event carry out in the pending video rehearsal number of times, according to the pending video confirms attendance information, the affirmation of oil gas station in the pending video flow and the affirmation in the pending video relevant service information of each equipment can be realized through artificial intelligence AI algorithm in the pending video, and its concrete implementation can refer to the implementation among the prior art, no longer has repeated here.
In an alternative aspect of the present application, the method further comprises:
taking the oil unloading operation early warning report form, the inspection operation early warning report form, the hidden danger risk early warning report form, the training management report form, the exercise management report form, the attendance management report form, the flow statistics report form and the equipment early warning report form as the safety statistics report form of the oil and gas station;
and determining the report management authority of the safety statistical report according to each role in the oil and gas station.
The safety statistical report can analyze and count various safety related report management of the platform according to role authority such as station length, company safety supervisor, company level leader and the like. Data information such as various safety operation indexes, early warning information indexes, service quality indexes and operation management indexes of gas stations of lower-level units of a company can be counted through the safety statistical report, a one-key export function is supported, the safety report corresponding to a company terminal and a station terminal can be automatically generated according to account number authority, an oil and gas station manager can know the operation state of the oil and gas station at a glance, and the basis is provided for further optimizing and supervising management work.
Based on the same principle as the method shown in fig. 1, an embodiment of the present invention further provides an oil and gas station safety early warning and management device 20, as shown in fig. 2, the oil and gas station safety early warning and management device 20 may include a video acquisition module 210, an oil discharge early warning module 220, an inspection early warning module 230, a hidden danger risk identification module 240, a training management module 250, a drilling management module 260, an attendance management module 270, a flow management module 280, and an equipment management module 290, where:
the video acquisition module 210 is used for acquiring a to-be-processed video of the oil and gas station;
the oil discharge early warning module 220 is configured to, when the video to be processed includes an oil discharge operation, identify whether an illegal operation exists in the oil discharge operation process, if the illegal operation exists, perform oil discharge early warning according to the illegal operation, determine violation times, and record the violation times in an oil discharge operation early warning report;
the inspection early warning module 230 is configured to determine an inspection result of the inspection operation performed in the video to be processed when the video to be processed includes the inspection operation, perform inspection early warning according to the inspection result, and record the inspection result into an inspection operation early warning report;
the hidden danger risk identification module 240 is configured to identify whether a hidden danger risk event exists in the video to be processed, and if the hidden danger risk event exists, perform hidden danger risk early warning and record the occurrence frequency of the hidden danger risk event in a hidden danger risk early warning report;
the training management module 250 is used for determining the training times of training events in the video to be processed when the video to be processed comprises the training events and recording the training times into a training management report;
the drilling management module 260 is configured to determine the drilling times of the drilling events in the video to be processed when the video to be processed includes the drilling events, and record the drilling times into a drilling management report;
the attendance management module 270 is configured to determine attendance information of the oil and gas station according to the to-be-processed video when the to-be-processed video is a video acquired at an attendance time, and record the attendance information into an attendance management report;
the traffic management module 280 is configured to determine traffic in the video to be processed, and record the traffic in a traffic statistics report, where the traffic includes at least one of traffic volume and passenger volume;
and the device management module 290 is configured to determine, when the to-be-processed video includes devices in an oil and gas station, related use information of each device in the to-be-processed video, and record the related use information of each device in a device early warning report.
Optionally, if there is a hidden danger event in the video to be processed, the apparatus further includes:
and the hidden danger risk type determining module is used for determining the hidden danger risk type of the hidden danger risk event according to the video to be processed.
Optionally, the apparatus further comprises:
the early warning grade number determining module is used for determining the violation number corresponding to different oil unloading work early warning grades in the oil unloading work process and recording the violation number into the oil unloading work early warning report when the violation work exists in the video to be processed; when the video to be processed comprises the inspection operation, determining the early warning times corresponding to different inspection early warning levels according to the inspection result, and recording the early warning times corresponding to the different inspection early warning levels in an inspection operation early warning report form; and when the hidden danger risk event exists in the video to be processed, determining the occurrence frequency of the hidden danger risk event corresponding to different hidden danger early warning levels, and recording the occurrence frequency of the hidden danger risk event corresponding to different hidden danger early warning levels into the hidden danger risk early warning report.
Optionally, the apparatus further comprises:
and the first processing result determining module is used for acquiring a first processing result aiming at the illegal operation according to the illegal operation and recording the first processing result in the oil discharge operation early warning report.
Optionally, the apparatus further comprises:
and the second processing result determining module is used for determining a second processing result of the hidden danger event when the hidden danger event exists in the video to be processed, and recording the second processing result in the hidden danger risk early warning report.
Optionally, the apparatus further comprises:
and the third processing result determining module is used for determining a third processing result corresponding to the inspection result for performing inspection early warning according to the inspection result and recording the third processing result in the inspection operation early warning report.
Optionally, the apparatus further comprises:
the safety statistical report management module is used for taking the oil unloading operation early warning report, the inspection operation early warning report, the hidden danger risk early warning report, the training management report, the rehearsal management report, the attendance management report, the flow statistical report and the equipment early warning report as safety statistical reports of the oil and gas station; and determining the report management authority of the safety statistical report according to each role in the oil and gas station.
The oil and gas station safety early warning and management device of the embodiment of the invention can execute the oil and gas station safety early warning and management method provided by the embodiment of the invention, the implementation principle is similar, the actions executed by each module and unit in the oil and gas station safety early warning and management device of the embodiment of the invention correspond to the steps in the oil and gas station safety early warning and management method of the embodiment of the invention, the detailed function description of each module of the oil and gas station safety early warning and management device can be referred to the description in the corresponding oil and gas station safety early warning and management method shown in the foregoing, and the detailed description is omitted.
The safety early warning and management device for the oil and gas station can be a computer program (comprising program codes) running in computer equipment, for example, the safety early warning and management device for the oil and gas station is application software; the apparatus may be used to perform the corresponding steps in the methods provided by the embodiments of the present invention.
In some embodiments, the safety warning and management Device for an oil and gas station provided by the embodiments of the present invention may be implemented by combining software and hardware, for example, the safety warning and management Device for an oil and gas station provided by the embodiments of the present invention may be a processor in the form of a hardware decoding processor, which is programmed to execute the safety warning and management method for an oil and gas station provided by the embodiments of the present invention, for example, the processor in the form of a hardware decoding processor may employ one or more Application Specific Integrated Circuits (ASICs), DSPs, Programmable Logic Devices (PLDs), Complex Programmable Logic Devices (CPLDs), Field Programmable Gate Arrays (FPGAs), or other electronic components.
In other embodiments, the safety pre-warning and management device for the oil and gas station provided in the embodiments of the present invention may be implemented in a software manner, and fig. 2 illustrates the safety pre-warning and management device for the oil and gas station stored in a memory, which may be software in the form of programs, plug-ins, and the like, and includes a series of modules, including a video acquisition module 210, an oil discharge pre-warning module 220, an inspection pre-warning module 230, a hidden risk identification module 240, a training management module 250, a drill management module 260, an attendance management module 270, a flow management module 280, and an equipment management module 290, for implementing the safety pre-warning and management method for the oil and gas station provided in the embodiments of the present invention.
The modules described in the embodiments of the present invention may be implemented by software or hardware. Wherein the name of a module in some cases does not constitute a limitation on the module itself.
Based on the same principle as the method shown in the embodiment of the present invention, an embodiment of the present invention also provides an electronic device, which may include but is not limited to: a processor and a memory; a memory for storing a computer program; a processor for executing the method according to any of the embodiments of the present invention by calling the computer program.
In an alternative embodiment, an electronic device is provided, as shown in fig. 3, the electronic device 4000 shown in fig. 3 comprising: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further include a transceiver 4004, and the transceiver 4004 may be used for data interaction between the electronic device and other electronic devices, such as transmission of data and/or reception of data. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 4000 is not limited to the embodiment of the present invention.
The Processor 4001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 4002 may include a path that carries information between the aforementioned components. The bus 4002 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but that does not indicate only one bus or one type of bus.
The Memory 4003 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 4003 is used for storing application program codes (computer programs) for executing the aspects of the present invention, and the execution is controlled by the processor 4001. Processor 4001 is configured to execute application code stored in memory 4003 to implement what is shown in the foregoing method embodiments.
The electronic device may also be a terminal device, and the electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the application scope of the embodiment of the present invention.
Embodiments of the present invention provide a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments.
According to another aspect of the invention, there is also provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions to cause the computer device to perform the methods provided in the various embodiment implementations described above.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like 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).
It should be understood that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and computer program products according to various embodiments of the present invention. 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 which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The computer readable storage medium provided by the embodiments of the present invention may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. 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 the context of the present invention, 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.
The computer-readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the method shown in the above embodiments.
The foregoing description is only exemplary of the preferred embodiments of the invention 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 disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents is encompassed without departing from the spirit of the disclosure. For example, the above features and (but not limited to) features having similar functions disclosed in the present invention are mutually replaced to form the technical solution.

Claims (10)

1. A safety early warning and management method for an oil and gas station is characterized by comprising the following steps:
acquiring a video to be processed of an oil and gas station;
if the video to be processed comprises the oil unloading operation, identifying whether illegal operation exists in the oil unloading operation process, if so, performing oil unloading early warning according to the illegal operation, determining the illegal times, and recording the illegal times into an oil unloading operation early warning report form;
if the video to be processed comprises the inspection operation, determining an inspection result of the inspection operation in the video to be processed, performing inspection early warning according to the inspection result and recording the inspection result into an inspection operation early warning report form;
identifying whether a hidden danger risk event exists in the video to be processed, if so, carrying out hidden danger early warning and recording the occurrence frequency of the hidden danger risk event into a hidden danger risk early warning report form;
if the video to be processed comprises training events, determining the training times of the training events in the video to be processed, and recording the training times into a training management report;
if the to-be-processed video comprises the drilling event, determining the drilling times of the drilling event in the to-be-processed video, and recording the drilling times into a drilling management report form;
if the video to be processed is the video obtained by the attendance time, determining the attendance information of the oil and gas station according to the video to be processed, and recording the attendance information into an attendance management report;
determining the flow in the video to be processed, and recording the flow into a flow statistical report, wherein the flow comprises at least one of traffic flow and passenger flow;
and if the video to be processed comprises the equipment in the oil and gas station, determining the relevant use information of each equipment in the video to be processed, and recording the relevant use information of each equipment into an equipment early warning report.
2. The method of claim 1, wherein if there is a risk event in the video to be processed, the method further comprises:
and determining the hidden danger risk type of the hidden danger risk event according to the video to be processed.
3. The method of claim 1, further comprising:
if the illegal operation exists in the video to be processed, determining the number of illegal operations corresponding to different oil unloading operation early warning levels in the oil unloading operation process and recording the number of illegal operations into the oil unloading operation early warning report;
if the video to be processed comprises the routing inspection operation, determining early warning times corresponding to different routing inspection early warning levels according to the routing inspection result, and recording the early warning times corresponding to the different routing inspection early warning levels in a routing inspection operation early warning report form;
and if the hidden danger risk event exists in the video to be processed, determining the occurrence frequency of the hidden danger risk event corresponding to different hidden danger early warning levels, and recording the occurrence frequency of the hidden danger risk event corresponding to the different hidden danger early warning levels into the hidden danger risk early warning report.
4. The method according to any one of claims 1 to 3, further comprising:
and acquiring a first processing result aiming at the illegal operation according to the illegal operation, and recording the first processing result in the oil unloading operation early warning report.
5. The method according to any one of claims 1 to 3, further comprising:
and if the hidden danger risk event exists in the video to be processed, determining a second processing result of the hidden danger risk event, and recording the second processing result in the hidden danger risk early warning report.
6. The method according to any one of claims 1 to 3, further comprising:
and determining a third processing result corresponding to the inspection result for performing inspection early warning according to the inspection result, and recording the third processing result in the inspection operation early warning report.
7. The method according to any one of claims 1 to 3, further comprising:
taking the oil unloading operation early warning report form, the inspection operation early warning report form, the hidden danger risk early warning report form, the training management report form, the exercise management report form, the attendance management report form, the flow statistics report form and the equipment early warning report form as safety statistics report forms of the oil and gas station;
and determining the report management authority of the safety statistical report according to each role in the oil and gas station.
8. The utility model provides an oil gas station safety precaution and management device which characterized in that includes:
the video acquisition module is used for acquiring a video to be processed of the oil and gas station;
the oil discharge early warning module is used for identifying whether illegal operation exists in the oil discharge operation process when the video to be processed comprises the oil discharge operation, if so, performing oil discharge early warning according to the illegal operation, determining the number of illegal operations, and recording the number of illegal operations into an oil discharge operation early warning report form;
the inspection early warning module is used for determining an inspection result of the inspection operation in the video to be processed when the video to be processed comprises the inspection operation, performing inspection early warning according to the inspection result and recording the inspection result into an inspection operation early warning report form;
the hidden danger risk identification module is used for identifying whether a hidden danger risk event exists in the video to be processed, and if the hidden danger event exists, carrying out hidden danger risk early warning and recording the occurrence frequency of the hidden danger risk event into a hidden danger risk early warning report form;
the training management module is used for determining the training times of training events in the video to be processed when the video to be processed comprises the training events and recording the training times into a training management report form;
the drilling management module is used for determining the drilling times of drilling events in the video to be processed when the video to be processed comprises the drilling events and recording the drilling times into a drilling management report form;
the attendance management module is used for determining attendance information of the oil and gas station according to the video to be processed when the video to be processed is the video acquired during the attendance time, and recording the attendance information into an attendance management report form;
the traffic management module is used for determining the traffic in the video to be processed and recording the traffic into a traffic statistical report, wherein the traffic comprises at least one of traffic flow and passenger flow;
and the equipment management module is used for determining the relevant use information of each equipment in the video to be processed when the video to be processed comprises the equipment in the oil and gas station, and recording the relevant use information of each equipment into an equipment early warning report.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the method of any one of claims 1-7 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the method of any one of claims 1-7.
CN202210958075.5A 2022-08-11 2022-08-11 Oil and gas station safety early warning and management method and device, electronic equipment and medium Pending CN115034691A (en)

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Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103337133A (en) * 2013-06-14 2013-10-02 广东电网公司中山供电局 System and method for power grid thunderstorm disaster early warning based on recognition and forecast
CN106294301A (en) * 2016-08-09 2017-01-04 广州唯品会信息科技有限公司 Report form generation method and device
CN107909601A (en) * 2017-12-14 2018-04-13 江苏省新通智能交通科技发展有限公司 A kind of shipping anti-collision early warning video detection system and detection method suitable for navigation mark
CN109670945A (en) * 2018-12-20 2019-04-23 安徽经邦软件技术有限公司 A kind of integrated risk early warning decision platform based on big data
CN109685356A (en) * 2018-12-19 2019-04-26 泰华智慧产业集团股份有限公司 Method for early warning and system based on industry data
CN111432182A (en) * 2020-04-29 2020-07-17 上善智城(苏州)信息科技有限公司 Safety supervision method and system for oil discharge place of gas station
CN111932708A (en) * 2020-09-03 2020-11-13 四川弘和通讯有限公司 Method for realizing violation safety supervision of oil discharge operation of gas station based on AI identification
CN112004064A (en) * 2020-09-03 2020-11-27 四川弘和通讯有限公司 Management platform and method for recognizing regional security risk behaviors of gas station based on AI (Artificial Intelligence)
CN112348316A (en) * 2020-10-15 2021-02-09 山东魏桥创业集团有限公司 Safety management system for realizing risk and hidden danger classification
CN112801466A (en) * 2021-01-08 2021-05-14 上善智城(苏州)信息科技有限公司 Method and system for early warning illegal operation of oil discharge operation of gas station
CN114069871A (en) * 2021-11-25 2022-02-18 国网智能科技股份有限公司 Substation silent monitoring and scheduling system and method
CN114091940A (en) * 2021-11-26 2022-02-25 广州广汽商贸物流有限公司 Logistics park safety risk early warning method, system, equipment and storage medium
CN114282788A (en) * 2021-12-13 2022-04-05 上海异工同智信息科技有限公司 Enterprise risk early warning method and device, electronic equipment and readable storage medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103337133A (en) * 2013-06-14 2013-10-02 广东电网公司中山供电局 System and method for power grid thunderstorm disaster early warning based on recognition and forecast
CN106294301A (en) * 2016-08-09 2017-01-04 广州唯品会信息科技有限公司 Report form generation method and device
CN107909601A (en) * 2017-12-14 2018-04-13 江苏省新通智能交通科技发展有限公司 A kind of shipping anti-collision early warning video detection system and detection method suitable for navigation mark
CN109685356A (en) * 2018-12-19 2019-04-26 泰华智慧产业集团股份有限公司 Method for early warning and system based on industry data
CN109670945A (en) * 2018-12-20 2019-04-23 安徽经邦软件技术有限公司 A kind of integrated risk early warning decision platform based on big data
CN111432182A (en) * 2020-04-29 2020-07-17 上善智城(苏州)信息科技有限公司 Safety supervision method and system for oil discharge place of gas station
CN111932708A (en) * 2020-09-03 2020-11-13 四川弘和通讯有限公司 Method for realizing violation safety supervision of oil discharge operation of gas station based on AI identification
CN112004064A (en) * 2020-09-03 2020-11-27 四川弘和通讯有限公司 Management platform and method for recognizing regional security risk behaviors of gas station based on AI (Artificial Intelligence)
CN112348316A (en) * 2020-10-15 2021-02-09 山东魏桥创业集团有限公司 Safety management system for realizing risk and hidden danger classification
CN112801466A (en) * 2021-01-08 2021-05-14 上善智城(苏州)信息科技有限公司 Method and system for early warning illegal operation of oil discharge operation of gas station
CN114069871A (en) * 2021-11-25 2022-02-18 国网智能科技股份有限公司 Substation silent monitoring and scheduling system and method
CN114091940A (en) * 2021-11-26 2022-02-25 广州广汽商贸物流有限公司 Logistics park safety risk early warning method, system, equipment and storage medium
CN114282788A (en) * 2021-12-13 2022-04-05 上海异工同智信息科技有限公司 Enterprise risk early warning method and device, electronic equipment and readable storage medium

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