CN116311556B - Management and control method and management and control system based on artificial intelligence - Google Patents
Management and control method and management and control system based on artificial intelligence Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The application is applicable to the field of computers, and provides a management and control method and a management and control system based on artificial intelligence, wherein the method comprises the following steps: acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information; acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information, and the method has the beneficial effects that: the method and the device have the advantages that the sudden illegal events or the external illegal event entering under the complex multi-area are pre-warned, and reliable decision basis can be provided for management and control when the subsequent area enters.
Description
Technical Field
The application belongs to the field of computers, and particularly relates to a management and control method and a management and control system based on artificial intelligence.
Background
Safety production and safety operation not only require effective maintenance of operation equipment, but also pay more and more attention to risk control management as an important component in the process of management operation, and thus the operation and behavior of related personnel in the whole process of operation and production are required to meet related regulations.
In the prior art, the operation and behavior of related personnel are identified and reminded through a machine or manually, for example, an intelligent video monitoring system changes passive monitoring into active monitoring, automatic detection can be performed, positioning and tracking can be performed on a detection target, a camera is used for replacing human eyes, a computer is used for replacing people and assisting people to complete monitoring or control tasks, and safety protection, such as wearing a safety helmet, is required before the related personnel enter a working area.
By implementing the prior art, it can be found that in a multi-zone scene, the flow of personnel between zones is easy to generate a situation that the safety protection is loose, for example, a person needs to go from zone a to zone B or pass through zone B for some reasons, the safety helmet is removed due to the fact that the protection requirement of zone B is not clear or the vigilance is relaxed, but the zone B is working; or, the personnel not meeting the safety protection requirement bypasses the regional safety inspection before entering, and enters the region B, but the personnel are not monitored in time (the monitoring and identification has the problem of low real-time property, for example, when the condition that the personnel are not protected in the region is identified, the personnel possibly enter the next region), at this time, the regional management and control are difficult, and the safety problem is easy to cause.
Disclosure of Invention
The embodiment of the application aims to provide a management and control method and a management and control system based on artificial intelligence, which aim to solve the problems in the background technology.
The embodiment of the application is realized in such a way that, on the one hand, the control method based on artificial intelligence comprises the following steps:
acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information;
acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated in wearing based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information;
detecting whether feature identification information between the second movable target and the first movable target accords when at least the second movable target is detected to carry illegal articles and/or to be out of specification;
if yes, determining route information comprising a third area according to the first area and the second area, and sending early warning information at least in the third area comprising the third route information, wherein the early warning information is used for representing the entering of a certain activity target carrying illegal articles and/or irregular wearing, and the early warning information comprises first early warning information.
As a further aspect of the present application, the method further includes:
and sending out second early warning information in a set period before a certain movable target enters a third area, wherein the second early warning information is used for representing that the certain movable target carrying illegal articles and/or being irregular in wearing is expected to enter after a set period of time is changed, and the early warning information comprises the second early warning information.
As a still further scheme of the application, the early warning level of the second early warning information is higher than that of the first early warning information.
As a still further aspect of the present application, the method further includes:
detecting a time node corresponding to the set period;
identifying whether the current moment is in a time node corresponding to the set period;
if yes, switching the sent first early warning information into second early warning information;
if not, the first early warning information is sent out.
As a further aspect of the present application, the method further includes:
determining the travelling speed of a certain moving target according to the first route information and the second route information;
detecting a route distance from a preset time bit to a third area based on the route information, wherein the preset time bit comprises a second area;
calculating the travel time length from a preset time position to a third area of a certain movable target according to the travel speed and the route distance;
and determining a starting time node of the set period according to the travel time.
As a further aspect of the present application, the characteristic identification information includes at least one of human infrared characteristic distribution information, non-work wear information, and human biological characteristic information.
As a further aspect of the present application, the method further includes:
acquiring an infrared characteristic distribution signal of a target to be identified, extracting a characteristic value of the infrared characteristic distribution signal, wherein the characteristic value comprises profile characteristics under the same condition, the target to be identified comprises a first movable target and a second movable target, and the same condition is used for representing that acquisition parameters under equidistant identification positions of different areas are the same;
and when the characteristic values of the infrared characteristic distribution signals among the targets to be identified meet the similar conditions, judging that the characteristic identification information among the targets to be identified is consistent.
As a further aspect of the present application, the time delay interval is not greater than a preset time period, and the preset time period is related to a moving time from the first area to the second area.
As a further aspect of the present application, the method further includes:
when the early warning information is detected, the early warning information is distributed to fixed-point display equipment in a third area and a mobile terminal bound with a user;
the fixed point display equipment is instructed to display the early warning information, the mobile terminal is instructed to prompt the early warning information, delay confirmation information for limiting entry of a third area is displayed on the mobile terminal, and delay time corresponding to the delay confirmation information is shorter than the advancing time;
operational information of the user based on the delayed acknowledgement information is received and responded.
As a further aspect of the present application, in another aspect, an artificial intelligence based management and control system, the system comprising:
the first acquisition module is used for: acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information;
a second condition acquisition module configured to: acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated in wearing based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information;
the condition characteristic detection module is used for: detecting whether feature identification information between the second movable target and the first movable target accords when at least the second movable target is detected to carry illegal articles and/or to be out of specification;
the early warning module is used for: and when the characteristic identification information between the second movable target and the first movable target is consistent, determining the route information comprising the third area according to the first area and the second area, and sending early warning information at least in the third area comprising the third route information, wherein the early warning information is used for representing the entering of a certain movable target carrying illegal articles and/or irregular wearing, and the early warning information comprises first early warning information.
According to the management and control method and the management and control system based on the artificial intelligence, through respectively obtaining the first passing information and the second passing information with the time delay interval, when at least the second moving object is detected to be carrying illegal objects and/or being out of specification, if the first moving object and the second moving object are judged to be the same moving object, the passing route is determined according to the first area and the second area which pass through the first moving object and the second moving object successively, early warning information can be sent out in at least one area of the passing route, so that early warning is carried out on entering of a moving object carrying illegal objects and/or being out of specification, good early warning pertinence is achieved, prevention can be carried out on behaviors carrying illegal objects and/or being out of specification, and especially, reliable decision basis can be provided for management and control when entering in a follow-up area for sudden illegal events or extraneous entering under complex multiple areas.
Drawings
FIG. 1 is a main flow chart of an artificial intelligence based management and control method.
FIG. 2 is a flow chart of determining the type of warning information sent according to the time node at the current time in an artificial intelligence based management and control method.
FIG. 3 is a flow chart of a method of artificial intelligence based management and control that determines a start time node for a set period of time based on the travel duration.
FIG. 4 is a flow chart of a method of artificial intelligence based management and control for determining compliance of feature identification information between objects to be identified.
FIG. 5 is a flow chart of a method of artificial intelligence based management and control that receives user operation information based on the delayed acknowledgement information and responds.
Fig. 6 is a main structural diagram of an artificial intelligence based management and control system.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
Specific implementations of the application are described in detail below in connection with specific embodiments.
The application provides a management and control method and a management and control system based on artificial intelligence, which solve the technical problems in the background technology.
The terminal according to the embodiments of the present application includes a mobile terminal, and may also include a fixed-point display device, which may be a mobile phone, a tablet computer, a wearable device, a notebook computer, an ultra mobile personal computer, a netbook, a personal digital assistant, or the like.
In brief, the artificial intelligence is a field combining computer science and a powerful data set, and can solve problems, the artificial intelligence technology relates to contents such as the Internet of things, cloud computing, big data, edge computing and the like, and the application mainly applies intelligent recognition and the Internet of things technology to solve the technical problems in the background technology.
The technical scheme will be explained and illustrated in connection with the detailed embodiments.
As shown in fig. 1, a main flow chart of an artificial intelligence based management and control method according to an embodiment of the present application is provided, where the artificial intelligence based management and control method includes:
step S10: acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information;
specifically, some categories of industrial production and operation include: in the areas where work site operations, workshop production, chemical production, power industries and the like are located, strict requirements are imposed on the ingress and egress and activities of personnel, safety helmets, clothing work clothes and the like are required to be worn, illegal objects cannot be carried into a main functional area, and related dangerous behaviors such as irrelevant articles, cigarettes and the like cannot be carried into the main functional area, the areas such as the third area and the like in the application can correspond to the functional areas where actual industrial production and operation are located, such as different operation areas, for example, an information center, a raw material area, a quality inspection area, a production area and the like, and for the first area and the second area, the first area and the second area are generally the areas where arranged identification positions are located, and the first area and the second area are not necessarily functional areas, and of course can also be functional areas;
when the detection of illegal article carrying and/or irregular wearing is involved, the detection can comprise detection of a safety helmet, detection of a mask, detection of a telephone call, detection of smoking, detection of a safety belt and the like, and the detection can be completed by the existing technology, such as video extraction and identification, a support vector machine identification algorithm, a classifier SIFT angular point algorithm, a HOG image feature extraction algorithm and the like; it should be noted that, the route information, including the first route information and the second route information, generally includes image clip information for entering a certain area, where the moving object in the image clip information generally has a traveling direction; the moving targets, namely the first moving target and the second moving target, generally comprise moving bodies such as staff, foreign personnel and the like, and in some cases, can also comprise illegally entered animals, robots and the like;
step S11: acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated in wearing based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information; the time delay interval, namely the information of the route to be satisfied is obtained in different time intervals, and at least a certain time interval exists between the two information, so that the possibility that the same moving target sequentially passes through different areas exists in the case;
step S12: detecting whether feature identification information between the second movable target and the first movable target accords when at least the second movable target is detected to carry illegal articles and/or to be out of specification; so-called at least detection of presence of an irregular condition includes if both the first and second moving targets are detected to be present with an offending item and/or not being worn, and only the second moving target is detected to be present to carry an offending item and/or not being worn; for the former case, a possible violation condition exists all the time, and for the latter case, a violation is changed from a non-violation to a violation; the characteristic identification information comprises information for distinguishing the movable target from other movable targets, such as clothing of non-work clothes, carried special articles and the like;
step S13: if yes, determining route information comprising a third area according to the first area and the second area, and sending early warning information at least in the third area comprising the third route information, wherein the early warning information is used for representing the entering of a certain activity target carrying illegal articles and/or irregular wearing, and the early warning information comprises first early warning information. When the feature identification information is consistent, the first moving target and the second moving target are indicated to be the same moving target most likely, and the first moving target is indicated to reach the second region from the first region in sequence, and the possibility of reaching the next region exists; the basis of the route information determined according to the first area and the second area is that the action route cannot be determined from only one single area, especially for the case that the areas are gathered and multiple channels exist between the areas, after the two areas are determined, the route arrived sequentially is analyzed, in general, the next area is clear, the next area is generally the area extending by the action route of the first two areas, namely one of the extended areas, namely, the route becomes limited from multiple uncertain possible cases; the pertinence and the effectiveness of the early warning can be improved by determining the route information of the third area. Of course, for some areas where the active target may not appear under normal conditions, the event of an active target violation may be notified by way of a message notification.
When the method and the device are applied, the first passing information and the second passing information with time delay intervals are respectively obtained, when at least the situation that the second moving object carries illegal objects and/or is not regulated in wearing is detected, if the first moving object and the second moving object are judged to be the same moving object, the passing route (follow-up route) of the first moving object and the second moving object is determined according to the first area and the second area which pass through the first moving object and the second moving object successively, early warning information can be sent out in at least one area (such as a third area) of the passing route, early warning is carried out on entering of a moving object carrying illegal objects and/or not regulated in wearing, good early warning pertinence is achieved, and actions carrying illegal objects and/or not regulated in wearing can be prevented, especially, sudden illegal events or external entering illegal events under complex multiple areas can be provided with reliable decision basis for management and control when entering in the follow-up area.
Further, in order to improve pertinence and effectiveness of the early warning, a preferred embodiment is provided, and the method further includes:
step S20: and sending out second early warning information in a set period before a certain movable target enters a third area, wherein the second early warning information is used for representing that the certain movable target carrying illegal articles and/or being irregular in wearing is expected to enter after a set period of time is changed, and the early warning information comprises the second early warning information. The so-called change set duration, namely, starting from the duration of a preset period, displaying the residual duration entering from a certain activity target in real time along with the time circulation;
it can be understood that by limiting the early warning time, that is, limiting the early warning time within a set period of time before entering the third area from a certain moving object, the early warning for entering the moving object carrying illegal articles and/or wearing irregular articles is more targeted, and fatigue response under frequent ineffective early warning can be avoided to a certain extent.
As a preferred embodiment of the present application, the early warning level of the second early warning information is higher than the early warning level of the first early warning information. It should be noted that, the improvement of the early warning level is mainly for improving the attention degree, and specifically, the improvement can be represented by improving the sound early warning volume, deepening the light early warning color, and quickening the sound early warning frequency.
As shown in fig. 2, the present embodiment further proposes an optimization scheme based on the foregoing embodiment, mainly to improve the early warning effect; the method further comprises the steps of:
step S30: detecting a time node corresponding to the set period;
step S31: identifying whether the current moment is in a time node corresponding to the set period;
step S32: if yes, switching the sent first early warning information into second early warning information;
step S33: if not, the first early warning information is sent out.
It should be understood that, because the early warning levels of the first early warning information and the second early warning information are different, when the current moment reaches the set period, the sent first early warning information is switched to the second early warning information, that is, the set period is used as a demarcation point with different early warning levels, and because the consumption of the set period is completed, the approach of the moving target is reached, therefore, the early warning level switching method can improve the early warning effect so as to attract enough attention.
It should be understood that, as shown in fig. 3, as a preferred embodiment of the present application, the method further includes:
step S40: determining the travelling speed of a certain moving target according to the first route information and the second route information; when only the travel speed needs to be determined, the route information may be just the movement information, and the travel speed may include an average travel speed; the travel speeds may also include travel speeds within the segment route, which may take a greater speed than the average speed;
step S41: detecting a route distance from a preset time bit to a third area based on the route information, wherein the preset time bit comprises a second area; the route may be multiple, and only one preset time bit far from the third area needs to be selected in advance in the route from the second area to the third area, namely, the second area is one of the preset time bits;
step S42: calculating the travel time length from a preset time position to a third area of a certain movable target according to the travel speed and the route distance; the above calculated traveling speed, as a speed reference for traveling from the preset time position to the third region, is shorter when the above-described larger speed is selected, that is, mainly considering that the moving object arrives in advance at an actual traveling speed larger than the average speed;
step S43: and determining a starting time node of the set period according to the travel time. That is, the timing of the set period should be advanced from the last time node corresponding to the travel duration to ensure a sufficient early warning decision time.
Specifically, for example, the set period is 60s, from the current time 11:25am starts to calculate, the travel time length is 5min, and the last time node of the travel time length is 11:30am, indicating that it is possible to at 11:30am arrives, and therefore the start time node for the set period should be selected at least at 11:29am (or even before).
As a preferred embodiment of the present application, the characteristic identification information includes at least one of human infrared characteristic distribution information, non-work wear information, and human biological characteristic information.
Specifically, the human body infrared characteristic distribution information is mainly used for representing outline characteristics of a moving object in a static state or a moving state (a detailed description will be given in the next embodiment), and the non-work wear information, namely the wear information excluding the work wear, can be identified through non-single wear, such as wear of a combination coat and shoes and wear of a combination coat and a hat, and because the single or combined wear has a low overlapping probability in a short time, the human body infrared characteristic distribution information can be used for identifying the moving object, and the human body biological characteristic information comprises one or more of face recognition information, fingerprint information, iris information and the like.
It can be understood that whether the first activity target and the second activity target are the same activity target can be identified through the feature identification information, and specific items to be identified can be flexibly selected in different application scenes according to requirements of difficulty in acquiring the feature identification information, privacy authority, identification precision and the like.
Further, to further explain with reference to the above embodiment, as shown in fig. 4, in consideration of recognition in a case where the first moving object and the second moving object enter the first area and the second area, respectively, in consideration of accuracy and practicability of recognition in actual situations, a multi-embodiment recognition manner is provided herein, where the method further includes:
step S50: acquiring an infrared characteristic distribution signal of a target to be identified, extracting a characteristic value of the infrared characteristic distribution signal, wherein the characteristic value comprises profile characteristics under the same condition, the target to be identified comprises a first movable target and a second movable target, and the same condition is used for representing that acquisition parameters under equidistant identification positions of different areas are the same; the equidistant identification bits generally comprise equidistant identification of the set identification bits to reduce errors caused by non-profile feature differences; the set identification bits are generally arranged in corresponding areas, a plurality of identification bits can be arranged in each corresponding area, and the identification results can be compared after being preferentially selected;
the infrared characteristic distribution signal, namely the identification signal representing the movable target, is detected in real time when being identified in the mode, is convenient to detect and can avoid directly acquiring the private information of the human body under certain conditions, specifically, the infrared signal acquired by the infrared sensor is processed, the infrared signal comprises an infrared point array or a queue signal, the characteristic value of the infrared signal is extracted, for example, the obtained characteristic value of the human body is a shape characteristic or a contour characteristic, and the gesture of carrying illegal objects and/or the gesture of irregular wearing are judged according to the shape characteristic or the contour characteristic; in addition, when the infrared characteristic distribution signal relates to the face of the person, the face characteristic detection can be carried out based on the infrared image, and the identity recognition can be directly finished;
step S51: and when the characteristic values of the infrared characteristic distribution signals among the targets to be identified meet the similar conditions, judging that the characteristic identification information among the targets to be identified is consistent. Considering that the infrared characteristic distribution of the human body should not differ much after entering two areas in a short time, the infrared characteristic distribution shape or the area of the profile and the distribution situation of the infrared characteristic distribution under the same condition should not differ much, wherein the similar condition includes that the shapes and the profiles are the same or similar, the distribution situation is not different much, and the specific similar and the range of the phase difference can be defined by setting corresponding similar thresholds.
When the method is applied, the characteristic identification information is identified by singly identifying the infrared characteristic distribution signals or combining other modes, the condition requirement on the identified movable target is low, and the practicability and convenience of identification under the actual condition can be improved.
As a preferred embodiment of the application, the time delay interval is not greater than a preset time period, the preset time period being related to the time of movement from the first area to the second area.
It should be understood that, considering that there should be a certain time limit for entering the first area and the second area sequentially, if the time interval is too long, this indicates that the first area and the second area may not enter under the same trip, so the preset duration may be set in combination with the actual moving time of the first area and the second area, so as to ensure that the second route information and the first route information are the same trip of a certain moving target, and for example, the moving time from the first area to the second area is 5min, and the preset duration is set to 8min.
As shown in fig. 5, as a preferred embodiment of the present application, the method further includes:
step S60: when the early warning information is detected, the early warning information is distributed to fixed-point display equipment in a third area and a mobile terminal bound with a user;
specifically, when the early warning information is detected, that is, the early warning information is generated, particularly, the second early warning information is generated, that is, the possibility of entering a certain moving target carrying illegal articles and/or being irregular in wearing exists, and the situation that relevant personnel may be working in the third area is considered, so that the situation is not easy to be considered;
step S61: the fixed point display equipment is instructed to display the early warning information, the mobile terminal is instructed to prompt the early warning information, delay confirmation information for limiting entry of a third area is displayed on the mobile terminal, and delay time corresponding to the delay confirmation information is shorter than the advancing time; it will be appreciated that by means of two cues: the fixed-point display device can be arranged in a public area, such as a large display screen arranged in the central position of a third area, as a prompting mode of the public; in addition, further considering the situation that related personnel may not pay attention to the fixed point display equipment in time, displaying third early warning information through the mobile terminal, further displaying early warning information as delay confirmation information, indicating that the entry of a certain moving target is possible, displaying delay time length, indicating that the delay confirmation information can be selected to be operated and confirmed in the delay time length, so that the certain moving target can be limited to enter a third area after the delay time length, specifically, an access control device which can enter the third area at the latest can be controlled to be closed and the like when the delay time length is over, namely, the method can comprise immediately confirming the limited entry or confirming the limited entry after the delay time length, and also can confirm the limited entry by customizing time within the delay time length at the current moment;
step S62: operational information of the user based on the delayed acknowledgement information is received and responded. Limiting or not limiting access, or timely limiting access, is performed in response, i.e., according to the user's (related personnel) selection.
It can be appreciated that the embodiment provides a method for fully displaying early warning information, exerting the early warning prompt that a certain moving target is about to enter the third area to a larger efficacy, and attracting attention of personnel in the third area, so as to facilitate controlling the entry of the certain moving target, avoiding the entry of moving targets carrying illegal articles and/or wearing irregular articles to a certain extent, and guaranteeing the safety of operation and production in the third area.
As another preferred embodiment of the present application, as shown in fig. 6, in another aspect, an artificial intelligence based management and control system includes:
a first acquisition module 100 for: acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information;
a second condition acquisition module 200 for: acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated in wearing based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information;
the condition feature detection module 300 is configured to: detecting whether feature identification information between the second movable target and the first movable target accords when at least the second movable target is detected to carry illegal articles and/or to be out of specification;
an early warning module 400 for: and when the characteristic identification information between the second movable target and the first movable target is consistent, determining the route information comprising the third area according to the first area and the second area, and sending early warning information at least in the third area comprising the third route information, wherein the early warning information is used for representing the entering of a certain movable target carrying illegal articles and/or irregular wearing, and the early warning information comprises first early warning information.
According to the artificial intelligence-based management and control method provided by the embodiment of the application, the first passing information and the second passing information of the existing time delay interval are respectively acquired, when at least the second moving object is detected to be carrying illegal objects and/or being irregular in wearing, if the first moving object and the second moving object are judged to be the same moving object, the passing route (subsequent route) is determined according to the first area and the second area which pass through in sequence, early warning information can be sent out in at least one area (such as a third area) of the passing route, so that early warning is carried out on entering of a certain moving object carrying illegal objects and/or being irregular in wearing, the early warning pertinence is good, preventing of carrying illegal objects and/or being irregular in wearing can be carried out, especially, for sudden accidents or external entering illegal events under complex multiple areas, and reliable basis can be provided for decision-making control when entering into the subsequent area.
In order to be able to load the method and system described above to function properly, the system may include more or less components than those described above, or may combine some components, or different components, in addition to the various modules described above, for example, may include input and output devices, network access devices, buses, processors, memories, and the like.
The processor may be a central processing unit (CentralProcessingUnit, CPU), other general purpose processors, digital signal processors (DigitalSignalProcessor, DSP), application specific integrated circuits (ApplicationSpecificIntegratedCircuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammableGateArray, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the above system, and various interfaces and lines are used to connect the various parts.
The memory may be used to store a computer and a system program and/or module, and the processor may perform the various functions described above by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as an information acquisition template presentation function, a product information distribution function, etc.), and the like. The storage data area may store data created according to the use of the berth status display system (e.g., product information acquisition templates corresponding to different product types, product information required to be released by different product providers, etc.), and so on. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SmartMediaCard, SMC), secure digital (SecureDigital, SD) card, flash card (FlashCard), at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (6)
1. An artificial intelligence based management and control method, the method comprising:
acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information;
acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated in wearing based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information;
detecting whether feature identification information between the second movable target and the first movable target accords when at least the second movable target is detected to carry illegal articles and/or to be out of specification;
if yes, determining route information comprising a third area according to the first area and the second area, and sending early warning information at least in the third area comprising the third route information, wherein the early warning information is used for representing the entering of a certain activity target carrying illegal articles and/or irregular wearing, and the early warning information comprises first early warning information;
the method further comprises the steps of:
in a set period before a certain movable target enters a third area, sending second early warning information, wherein the second early warning information is used for representing that the certain movable target carrying illegal articles and/or being irregular in wearing is expected to enter after a set period of time is changed, and the early warning information comprises second early warning information; the early warning level of the second early warning information is higher than that of the first early warning information;
the method further comprises the steps of:
detecting a time node corresponding to the set period;
identifying whether the current moment is in a time node corresponding to the set period;
if yes, switching the sent first early warning information into second early warning information;
if not, the first early warning information is sent;
the characteristic identification information comprises at least one of human body infrared characteristic distribution information, non-work wear information and human body biological characteristic information.
2. The artificial intelligence based management method of claim 1, further comprising:
determining the travelling speed of a certain moving target according to the first route information and the second route information;
detecting a route distance from a preset time bit to a third area based on the route information, wherein the preset time bit comprises a second area;
calculating the travel time length from a preset time position to a third area of a certain movable target according to the travel speed and the route distance;
and determining a starting time node of the set period according to the travel time.
3. The artificial intelligence based management method of claim 1, further comprising:
acquiring an infrared characteristic distribution signal of a target to be identified, extracting a characteristic value of the infrared characteristic distribution signal, wherein the characteristic value comprises profile characteristics under the same condition, the target to be identified comprises a first movable target and a second movable target, and the same condition is used for representing that acquisition parameters under equidistant identification positions of different areas are the same;
and when the characteristic values of the infrared characteristic distribution signals among the targets to be identified meet the similar conditions, judging that the characteristic identification information among the targets to be identified is consistent.
4. The artificial intelligence based management and control method of claim 1, wherein the time delay interval is not greater than a preset duration, the preset duration being related to a time of use of the movement from the first area to the second area.
5. The artificial intelligence based management method of claim 2, wherein the method further comprises:
when the early warning information is detected, the early warning information is distributed to fixed-point display equipment in a third area and a mobile terminal bound with a user;
the fixed point display equipment is instructed to display the early warning information, the mobile terminal is instructed to prompt the early warning information, delay confirmation information for limiting entry of a third area is displayed on the mobile terminal, and delay time corresponding to the delay confirmation information is shorter than the advancing time;
operational information of the user based on the delayed acknowledgement information is received and responded.
6. An artificial intelligence based management and control system, the system comprising:
the first acquisition module is used for: acquiring first route information of a first movable target in a first area, and detecting whether the first movable target carries illegal objects and/or is out of specification based on the first route information;
a second condition acquisition module configured to: acquiring second passing information of a second movable target in a second area, and detecting whether the second movable target carries illegal objects and/or is not regulated in wearing based on the second passing information, wherein a time delay interval exists between the second passing information and the first passing information;
the condition characteristic detection module is used for: detecting whether feature identification information between the second movable target and the first movable target accords when at least the second movable target is detected to carry illegal articles and/or to be out of specification;
the early warning module is used for: when the characteristic identification information between the second movable target and the first movable target is consistent, determining route information comprising a third area according to the first area and the second area, and sending early warning information at least in the third area comprising the third route information, wherein the early warning information is used for representing the entering of a certain movable target carrying illegal articles and/or irregular wearing, and the early warning information comprises first early warning information;
the system is also for:
in a set period before a certain movable target enters a third area, sending second early warning information, wherein the second early warning information is used for representing that the certain movable target carrying illegal articles and/or being irregular in wearing is expected to enter after a set period of time is changed, and the early warning information comprises second early warning information; the early warning level of the second early warning information is higher than that of the first early warning information;
the system is also for:
detecting a time node corresponding to the set period;
identifying whether the current moment is in a time node corresponding to the set period;
if yes, switching the sent first early warning information into second early warning information;
if not, the first early warning information is sent;
the characteristic identification information comprises at least one of human body infrared characteristic distribution information, non-work wear information and human body biological characteristic information.
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