CN117834821A - Intelligent interaction type security monitoring system - Google Patents
Intelligent interaction type security monitoring system Download PDFInfo
- Publication number
- CN117834821A CN117834821A CN202410099081.9A CN202410099081A CN117834821A CN 117834821 A CN117834821 A CN 117834821A CN 202410099081 A CN202410099081 A CN 202410099081A CN 117834821 A CN117834821 A CN 117834821A
- Authority
- CN
- China
- Prior art keywords
- value
- module
- intelligent
- interaction
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000003993 interaction Effects 0.000 title claims abstract description 149
- 238000012544 monitoring process Methods 0.000 title claims abstract description 68
- 238000001514 detection method Methods 0.000 claims abstract description 120
- 238000007689 inspection Methods 0.000 claims abstract description 92
- 238000004458 analytical method Methods 0.000 claims abstract description 84
- 238000011156 evaluation Methods 0.000 claims abstract description 51
- 238000007726 management method Methods 0.000 claims abstract description 37
- 230000002159 abnormal effect Effects 0.000 claims abstract description 31
- 230000035945 sensitivity Effects 0.000 claims abstract description 29
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 14
- 238000013135 deep learning Methods 0.000 claims abstract description 12
- 238000003745 diagnosis Methods 0.000 claims abstract description 11
- 230000002452 interceptive effect Effects 0.000 claims description 87
- 238000004364 calculation method Methods 0.000 claims description 26
- 238000000034 method Methods 0.000 claims description 26
- 230000008569 process Effects 0.000 claims description 23
- 238000009434 installation Methods 0.000 claims description 22
- 230000006399 behavior Effects 0.000 claims description 18
- 206010000117 Abnormal behaviour Diseases 0.000 claims description 9
- 238000005265 energy consumption Methods 0.000 claims description 9
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000003915 air pollution Methods 0.000 claims description 7
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000012482 interaction analysis Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 4
- 230000009471 action Effects 0.000 claims description 3
- 230000003542 behavioural effect Effects 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 238000010801 machine learning Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 3
- 230000001105 regulatory effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000001939 inductive effect Effects 0.000 description 2
- 239000000428 dust Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003014 reinforcing effect Effects 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19608—Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Business, Economics & Management (AREA)
- Computing Systems (AREA)
- Emergency Management (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Alarm Systems (AREA)
Abstract
The invention belongs to the technical field of security monitoring, in particular to an intelligent interaction type security monitoring system which comprises a server, a camera monitoring module, an intelligent analysis and identification module, an intelligent interaction module, an interaction display control module and an interaction sensitivity evaluation module; the intelligent analysis and recognition module is used for carrying out security detection early warning on the real-time monitoring image by adopting a deep learning algorithm, which is beneficial to guaranteeing the security of a required supervision area, the area management detection and diagnosis module is used for analyzing the security early warning condition of the required supervision area, the inspection condition of the required supervision area in a detection period is analyzed when a high management and control signal is generated, the management planning of the required supervision area is facilitated to be carried out later, the planning rationality is guaranteed, the brightness of the intelligent interaction module can be automatically and reasonably regulated, the abnormal condition of the intelligent interaction module is comprehensively captured, the intelligent interaction module is overhauled in time, the service performance of the intelligent interaction module is guaranteed, and the intelligent degree is high.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to an intelligent interaction type security monitoring system.
Background
Along with the continuous maturity of economic development and technology, the security industry has become an important component of a social public security system, plays an increasingly important role in social security, economic development and life of people, and is widely applied in the fields of families, enterprises, public places and the like;
the traditional security monitoring system can only record and remotely check simple videos, cannot detect abnormal conditions in real time and automatically respond, cannot reasonably analyze and accurately feed back security early warning conditions of a required supervision area, cannot automatically and accurately regulate and control brightness of an interactive display component and comprehensively evaluate service performance of the interactive display component, and has low intelligent degree;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an intelligent interactive security monitoring system, which solves the problems that the prior art cannot detect abnormal conditions in real time and automatically respond, cannot reasonably analyze and accurately feed back security early warning conditions of a required supervision area, cannot automatically and accurately regulate and control brightness of an interactive display part, comprehensively evaluate service performance of the interactive display part and has low intelligent degree.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent interaction type security monitoring system comprises a server, a camera monitoring module, an intelligent analysis and identification module, an intelligent interaction module, an interaction display control module and an interaction sensitivity evaluation module; the camera monitoring module monitors a required monitoring area through a camera of a high-resolution wide-angle lens, acquires a real-time monitoring image of the required monitoring area, and sends the real-time monitoring image to the intelligent analysis and identification module through the server; the intelligent analysis and identification module adopts a deep learning algorithm to perform target detection and behavior analysis operation on the real-time monitoring image, identifies abnormal conditions in a required supervision area, generates corresponding area security early warning information, and sends the corresponding area security early warning information to the intelligent interaction module through the server;
the intelligent interaction module displays the security early warning information and sends out corresponding early warning when receiving the security early warning information, and a manager sends out corresponding instructions, checks corresponding information and carries out corresponding parameter setting change through the intelligent interaction module; the interactive display control module is used for setting a display control area in front of the display surface of the intelligent interactive module, switching the intelligent interactive module into a dormant state under the condition that the intelligent interactive module does not receive the security pre-warning information of the area or no manager exists in the display control area, otherwise, determining the adaptive display brightness through display control detection analysis and marking the adaptive display brightness as standard brightness, and controlling the intelligent interactive module to display and operate according to the standard brightness; the interactive sensitivity evaluation module is used for detecting and analyzing the operation sensitivity of the intelligent interactive module, judging whether to generate an operation low-sensitivity signal through analysis, and sending the operation low-sensitivity signal to the intelligent terminal of the corresponding maintenance personnel.
Further, the specific analysis process of the intelligent analysis and identification module is as follows:
and (3) target detection: performing target detection on each frame in the real-time monitoring image, and rapidly and accurately identifying objects and figures in the monitoring image according to a target detection algorithm in deep learning;
behavioral analysis: after the target detection is completed, performing behavior analysis on the detected target, analyzing the motion trail, speed and direction information of the target depending on an action recognition algorithm in deep learning, and judging whether the target belongs to abnormal behaviors or not;
abnormality detection: performing anomaly detection based on the result of behavior analysis, analyzing and comparing the behaviors through a preset rule or machine learning model, and judging whether the behaviors accord with the characteristics of the abnormal behaviors or not;
and (3) outputting results: if abnormal conditions are detected, regional security early warning information is generated, and the regional security early warning information is output to the intelligent interaction module, wherein the regional security early warning information comprises the time, place and description of abnormal behaviors of the occurrence of the abnormality.
Further, the specific analysis process of the display control detection analysis is as follows:
collecting the position of a manager in a display control area, and calculating the distance between the position of the manager and the position of the intelligent interaction module to obtain a display connection value; based on the vision condition of each manager, respectively corresponding a group of vision influence values of each manager in advance, carrying out identity recognition on the manager, and marking the recognized vision influence values of the manager as vision weight values;
the environment brightness and the air pollution degree in the display control area are collected, the display connection value, the environment brightness and the air pollution degree are calculated to obtain a display control primary detection value, and the display control primary detection value is multiplied by the vision weight value to obtain a display control evaluation value; a plurality of groups of preset display control evaluation value ranges are preset, each group of preset display control evaluation value range corresponds to one group of display brightness, display control evaluation values are compared with all preset display control evaluation value ranges one by one, the preset display control evaluation value range containing the display control evaluation values is marked as an optimal range, and the display brightness corresponding to the optimal range is marked as standard brightness.
Further, the specific operation process of the interaction sensitivity evaluation module comprises the following steps:
when a manager performs clicking operation on a touch screen of the intelligent interaction module, collecting clicking contact time and clicking finger pressure, respectively performing numerical comparison on the clicking contact time and the clicking finger pressure, and a preset clicking contact time range and a preset clicking finger pressure range, and judging that the corresponding clicking operation is qualified if the clicking contact time and the clicking finger pressure are both in the corresponding preset range;
when judging that the corresponding clicking operation is qualified, marking the corresponding clicking operation as interactive noninductive operation if the intelligent interaction module does not react, otherwise, collecting the interval duration of the reaction of the intelligent interaction module and marking the interval duration as an interactive slow value; and obtaining a click interaction evaluation value of the intelligent interaction module through interaction sensitivity evaluation analysis, comparing the click interaction evaluation value with a preset click interaction evaluation threshold value in a numerical mode, and generating an operation low-sensitivity signal if the click interaction evaluation value exceeds the preset click interaction evaluation threshold value.
Further, the specific analysis process of the interactive sensitivity evaluation analysis is as follows:
and carrying out summation calculation on all the interaction delay values in unit time and taking an average value to obtain an interaction time table value, marking the ratio of the number of the interaction delay values exceeding a preset interaction delay time threshold value in unit time to the total number of clicking operations as a slow interaction analysis value, marking the ratio of the occurrence times of interaction noninductive operations in unit time to the total number of clicking operations as an interaction noninductive detection value, and carrying out numerical calculation on the interaction noninductive detection value, the slow interaction analysis value and the interaction time table value to obtain a clicking interaction evaluation value.
Further, the server is in communication connection with the area management detection and diagnosis module, the area management detection and diagnosis module is used for setting a detection period, analyzing security early warning conditions of the area to be supervised in the detection period, generating a high management and control signal or a low management and control signal through analysis, analyzing the patrol condition of the area to be supervised in the detection period when the high management and control signal is generated, generating a patrol high influence signal or a patrol low influence signal through analysis, and transmitting the high management and control signal or the low management and control signal and the patrol high influence signal or the patrol low influence signal to the intelligent interaction module through the server.
Further, the specific operation process of the area management detection and diagnosis module comprises the following steps:
acquiring generation moments of security early warning information of all areas and marking the generation moments as security early warning moments, performing time difference calculation on two adjacent groups of security early warning moments to obtain installation early warning interval values, performing numerical comparison on the installation early warning interval values and preset installation early warning interval thresholds, and marking the corresponding security early warning interval values as security early warning near interval values if the installation early warning interval values do not exceed the preset security early warning interval thresholds;
calculating the ratio of the number of the installation early warning near-interval values to the number of the installation early warning interval values in the detection period to obtain an installation early warning near-occupation value, collecting the times of generating the regional security early warning information in the required supervision region in the detection period and marking the times as the regional security early warning value, and carrying out numerical calculation on the installation early warning near-occupation value and the regional security early warning value to obtain a regional security analysis value; comparing the regional security analysis value with a preset regional security analysis threshold value in a numerical mode, and generating a high management and control signal if the regional security analysis value exceeds the preset regional security analysis threshold value; and if the regional security analysis value does not exceed the preset regional security analysis threshold, generating a low management and control signal.
Further, when the area high management and control signal is generated, the number of times of inspection aiming at the area to be monitored in the detection period is collected and marked as an area inspection value, the inspection duration of each inspection is collected, and all the inspection durations in the detection period are summed up to obtain an inspection time detection value;
the interval time between two adjacent inspection processes is marked as an inter-inspection time length, the inter-inspection time length is compared with a preset inter-inspection time length threshold value in a numerical mode, if the inter-inspection time length exceeds the preset inter-inspection time length threshold value, the corresponding inter-inspection time length is marked as an inter-delay time length, and the ratio of the number of the inter-inspection time lengths in the detection period to the number of the inter-inspection time lengths is calculated to obtain a high-interval inspection condition value;
carrying out numerical calculation on the regional inspection value, the inspection time measurement value and the high-interval inspection condition value to obtain a regional inspection value, carrying out numerical comparison on the regional inspection value and a preset regional inspection threshold, and generating an inspection high influence signal if the regional inspection value exceeds the preset regional inspection threshold; and if the regional inspection value does not exceed the preset regional inspection threshold, generating an inspection low influence signal.
Further, the server is in communication connection with the interactive operation comprehensive judging module, if the operation low-sensitivity signal is not generated, the interactive operation comprehensive judging module comprehensively analyzes the operation process of the intelligent interactive module in unit time and judges the abnormal operation condition of the intelligent interactive module, so as to determine whether to generate the operation comprehensive judging abnormal signal or not, and the operation comprehensive judging abnormal signal is sent to the intelligent terminal of the corresponding maintenance personnel through the server when the operation comprehensive judging abnormal signal is generated.
Further, the specific operation process of the interactive operation comprehensive judgment module is as follows:
collecting the total running energy consumption and the average running power of the intelligent interaction module in unit time, and calculating the ratio of the total running energy consumption to the average running power to obtain an interaction consumption detection value; the real-time display brightness and the corresponding standard brightness of the intelligent interaction module are acquired, the deviation value of the real-time display brightness compared with the corresponding standard brightness is marked as a bright deviation value, and average value calculation is carried out on all the bright deviation values in unit time to obtain a display bright detection value;
the method comprises the steps of collecting noise values and vibration values generated by an intelligent interaction module in a unit time at a plurality of detection time points, carrying out average calculation on all the noise values in the unit time to obtain an interaction noise detection value, and carrying out average calculation on all the vibration values in the unit time to obtain an interaction vibration detection value; and carrying out numerical calculation on the interactive consumption detection value, the display brightness detection value, the interactive noise detection value and the interactive vibration detection value to obtain an interactive comprehensive judgment value, carrying out numerical comparison on the interactive comprehensive judgment value and a preset interactive comprehensive judgment threshold value, and generating an operation comprehensive judgment abnormal signal if the interactive comprehensive judgment value exceeds the preset interactive comprehensive judgment threshold value.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, the camera monitoring module is used for monitoring the required monitoring area and collecting real-time monitoring images, the intelligent analysis and identification module is used for carrying out target detection and behavior analysis operation on the real-time monitoring images by adopting a deep learning algorithm, generating corresponding area security early warning information when the abnormal situation in the required monitoring area is identified, and the intelligent interaction module is used for displaying the area security early warning information and sending out corresponding early warning, so that the effective monitoring on the required monitoring area is realized, and the safety of the required monitoring area is guaranteed; the security early warning condition of the area to be monitored in the detection period is analyzed through the area management detection diagnosis module, the inspection condition of the area to be monitored in the detection period is analyzed when the high management control signal is generated, the inspection high influence signal or the inspection low influence signal is generated through analysis, the management planning of the area to be monitored is facilitated, the rationality of planning is guaranteed, the intelligent degree is high, the brightness of the intelligent interaction module is automatically and reasonably regulated and controlled through the interaction display control module, the energy consumption is effectively reduced, and the display effect is remarkably improved;
2. in the invention, the operation sensitivity of the intelligent interaction module is detected and analyzed through the interaction sensitivity evaluation module, whether the operation low-sensitivity signal is generated or not is judged through analysis, the operation process of the intelligent interaction module is comprehensively analyzed through the interaction operation comprehensive judgment module when the operation low-sensitivity signal is not generated, and the operation abnormal condition of the intelligent interaction module is judged, so that whether the operation comprehensive judgment abnormal signal is generated or not is determined, and the intelligent interaction module is maintained and checked when the operation low-sensitivity signal or the operation comprehensive judgment abnormal signal is generated, thereby effectively ensuring the service performance of the intelligent interaction module.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a system block diagram of a first embodiment of the present invention;
FIG. 2 is a system block diagram of a second embodiment of the present invention;
fig. 3 is a system block diagram of a third embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one: as shown in FIG. 1, the intelligent interactive security monitoring system provided by the invention comprises a server, a camera monitoring module, an intelligent analysis and identification module, an intelligent interaction module, an interaction display control module and an interaction sensitivity evaluation module; the camera monitoring module monitors a required monitoring area through a camera of a high-resolution wide-angle lens, acquires a real-time monitoring image of the required monitoring area, and sends the real-time monitoring image to the intelligent analysis and identification module through the server;
the intelligent analysis and recognition module adopts a deep learning algorithm to perform target detection and behavior analysis operation on the real-time monitoring image, recognizes abnormal conditions in the required supervision area, generates corresponding area security early warning information, and sends the corresponding area security early warning information to the intelligent interaction module through the server, so that the effective monitoring of the required supervision area is realized, and the safety of the required supervision area is guaranteed; the specific analysis process of the intelligent analysis and identification module is as follows:
and (3) target detection: performing target detection on each frame in the real-time monitoring image, and relying on target detection algorithms in deep learning, such as YOLO, fast R-CNN and the like; through the algorithms, the module can quickly and accurately identify the object or person in the video, and provides a basis for subsequent behavior analysis; behavioral analysis: after the target detection is completed, performing behavior analysis on the detected target, and depending on an action recognition algorithm in deep learning, such as a 3D convolutional neural network, and the like, analyzing information of a motion track, a speed, a direction and the like of the target through the algorithm to judge whether the target belongs to abnormal behaviors;
abnormality detection: performing anomaly detection based on the result of behavior analysis, analyzing and comparing the behaviors through a preset rule or machine learning model, and judging whether the behaviors accord with the characteristics of the abnormal behaviors or not; for example, if an object is detected to move too fast or suddenly in direction in the monitored area, it may be determined as an abnormal situation; and (3) outputting results: if abnormal conditions are detected, regional security early warning information is generated and output to the intelligent interaction module, wherein the regional security early warning information comprises the time, place, description of abnormal behaviors and the like of the occurrence of the abnormality, and the information is used for triggering early warning.
The intelligent interaction module displays the security early warning information and sends out corresponding early warning when receiving the security early warning information, and a manager sends out corresponding instructions, checks corresponding information and carries out corresponding parameter setting change through the intelligent interaction module; the interactive display control module is used for setting a display control area in front of the display surface of the intelligent interactive module, switching the intelligent interactive module into a dormant state under the condition that the intelligent interactive module does not receive the security pre-warning information of the area or no manager exists in the display control area, otherwise, determining the adaptive display brightness through display control detection analysis and marking the adaptive display brightness as standard brightness, controlling the intelligent interactive module to display and operate according to the standard brightness, realizing automatic and reasonable regulation and control of the brightness of the intelligent interactive module, effectively reducing energy consumption and obviously improving the display effect; the specific analysis process of the display control detection analysis is as follows:
collecting the position of a manager in a display control area, and calculating the distance between the position of the manager and the position of the intelligent interaction module to obtain a display connection value; based on the vision condition of each manager, respectively corresponding a group of vision influence values of each manager in advance, carrying out identity recognition on the manager, and marking the recognized vision influence values of the manager as vision weight values; the better the vision condition of the corresponding manager is, the smaller the value of the vision weight value matched with the vision condition is, and the value of the vision weight value is larger than zero and stored in the server; the environmental brightness and the air pollution degree in the display control area are collected, wherein the air pollution degree is a data value representing the dust concentration in the display control area;
calculating the display connection value XW, the ambient brightness XL and the air pollution degree XK according to a formula XF=a1 xW+a2 xL+a3 xK to obtain a display control primary detection value XF, wherein a1, a2 and a3 are preset proportion coefficients, and the values of a1, a2 and a3 are all larger than zero; and the larger the numerical value of the display control primary detection value XF is, the more difficult the corresponding manager is to see the content displayed on the intelligent interaction module, and the more the display brightness of the intelligent interaction module is required to be improved;
multiplying the display control initial detection value and the vision weight value to obtain a display control evaluation value, presetting a plurality of groups of preset display control evaluation value ranges, and respectively corresponding one group of display brightness in each group of preset display control evaluation value ranges, wherein the larger the value of the preset display control evaluation value range is, the larger the value of the display brightness matched with the display brightness is, and the brighter the display brightness is displayed by the intelligent interaction module; and comparing the display control evaluation value with all preset display control evaluation value ranges one by one, marking the preset display control evaluation value range containing the display control evaluation value as an optimal range, and marking the display brightness corresponding to the optimal range as standard brightness.
The interaction sensitivity evaluation module is used for detecting and analyzing the operation sensitivity of the intelligent interaction module, judging whether to generate an operation low-sensitivity signal or not through analysis, and sending the operation low-sensitivity signal to the intelligent terminal of a corresponding maintainer, so that the operation sensitivity of the intelligent interaction module can be reasonably analyzed and accurately fed back, and the maintainer can timely perform maintenance and inspection of the intelligent interaction module, thereby ensuring the service performance of the intelligent interaction module; the specific operation process of the interaction sensitivity evaluation module is as follows:
when a manager performs clicking operation on a touch screen of the intelligent interaction module, collecting clicking contact time and clicking finger pressure, wherein the clicking finger pressure is a data value representing the pressure applied to the intelligent interaction module during clicking, and the clicking contact time is a data value representing the contact time between the intelligent interaction module and the clicking point; respectively comparing the click contact time length and the click finger pressure with a preset click contact time length range and a preset click finger pressure range in numerical value, and judging that the corresponding click operation is qualified if the click contact time length and the click finger pressure are both in the corresponding preset range;
when judging that the corresponding clicking operation is qualified, marking the corresponding clicking operation as interactive noninductive operation if the intelligent interaction module does not react, otherwise, collecting the interval duration of the reaction of the intelligent interaction module and marking the interval duration as an interactive slow value; summing all interaction delay values in unit time, calculating and taking an average value to obtain an interaction time table value, marking the ratio of the number of the interaction delay values exceeding a preset interaction delay threshold value in unit time to the total number of clicking operations as a slow interaction analysis value, and marking the ratio of the occurrence times of interaction non-inductive operations in unit time to the total number of clicking operations as an interaction non-inductive detection value;
and carrying out numerical calculation on the interaction noninductive detection value HP, the slow interaction analysis value HY and the interaction time table value HK through a formula HX=ew1+ew2+HY+ew3/(ew1+ew2) to obtain a click interaction evaluation value HX, wherein, w1, w2 and w3 are preset proportionality coefficients, and w1 > w2 > w3 > 0; moreover, the larger the value of the click interaction evaluation value HX is, the worse the reaction condition of the intelligent interaction module in unit time is, and the worse the sensitivity performance is; and comparing the click interaction evaluation value HX with a preset click interaction evaluation threshold value in a numerical value manner, and if the click interaction evaluation value HX exceeds the preset click interaction evaluation threshold value, indicating that the sensitivity performance of the intelligent interaction module is poor, generating an operation low-sensitivity signal.
Embodiment two: as shown in fig. 2, the difference between this embodiment and embodiment 1 is that the server is communicatively connected to an area management detection and diagnosis module, and the area management detection and diagnosis module is configured to set a detection period, preferably, the detection period is nine days; analyzing security early warning conditions of the area to be monitored in a detection period, generating a high management control signal or a low management control signal through analysis, analyzing the patrol condition of the area to be monitored in the detection period when the high management control signal is generated, generating a patrol high influence signal or a patrol low influence signal through analysis, and sending the high management control signal or the low management control signal and the patrol high influence signal or the patrol low influence signal to an intelligent interaction module through a server, thereby being beneficial to follow-up management planning of the area to be monitored, ensuring rationality of planning, having high intelligent degree and remarkably reducing management planning difficulty; the specific operation process of the area management detection diagnosis module is as follows:
acquiring generation moments of security early warning information of all areas and marking the generation moments as security early warning moments, performing time difference calculation on two adjacent groups of security early warning moments to obtain installation early warning interval values, performing numerical comparison on the installation early warning interval values and preset installation early warning interval thresholds, and marking the corresponding security early warning interval values as security early warning near interval values if the installation early warning interval values do not exceed the preset security early warning interval thresholds; calculating the ratio of the number of the installation early warning near-interval values and the number of the installation early warning interval values in the detection period to obtain an installation early warning near-occupation value, and acquiring the times of generating regional security early warning information in a required supervision region in the detection period and marking the times as regional security early warning values;
carrying out numerical calculation on the installation early warning near-occupation value FZ and the regional security early warning value FP through a formula FX=fg1 x FZ+fg2 x FP to obtain a regional security analysis value FX; wherein fg1 and fg2 are preset weight coefficients, and fg1 is more than fg2 and more than 0; moreover, the larger the numerical value of the regional security analysis value FX is, the worse the security performance condition of the required supervision region in the detection period is indicated; comparing the regional security analysis value FX with a preset regional security analysis threshold value, and if the regional security analysis value FX exceeds the preset regional security analysis threshold value, indicating that the security performance of the required supervision region in the detection period is poor and reinforcing management and control is required, generating a high management and control signal; if the regional security analysis value FX does not exceed the preset regional security analysis threshold, the condition of security performance of the required supervision region in the detection period is good, and a low management and control signal is generated.
Furthermore, when the area high management and control signal is generated, the number of times of inspection aiming at the area to be monitored in the detection period is collected and marked as an area inspection value, the inspection duration of each inspection is collected, and all the inspection durations in the detection period are summed up to obtain an inspection time measurement value; the interval time between two adjacent inspection processes is marked as an inter-inspection time length, the inter-inspection time length is compared with a preset inter-inspection time length threshold value in a numerical mode, if the inter-inspection time length exceeds the preset inter-inspection time length threshold value, the corresponding inter-inspection time length is marked as an inter-delay time length, and the ratio of the number of the inter-inspection time lengths in the detection period to the number of the inter-inspection time lengths is calculated to obtain a high-interval inspection condition value;
carrying out numerical calculation on the area inspection value QW, the inspection time measurement value QR and the high-interval inspection condition value QK through a formula QX=fy1+fy2×QR/fy3+f3×QK to obtain an area inspection value QX, wherein fy1, fy2 and fy3 are preset proportionality coefficients, and fy3 is larger than fy1 and larger than fy2 and larger than 0; moreover, the larger the value of the regional inspection value QX is, the larger the probability that the security performance of the required supervision region is poor due to poor inspection conditions in the detection period is indicated; comparing the regional inspection value QX with a preset regional inspection threshold value in a numerical value, and if the regional inspection value QX exceeds the preset regional inspection threshold value, indicating that the probability of poor security performance of a required supervision region caused by poor inspection conditions in a detection period is high, and then strengthening regional supervision, generating an inspection high influence signal; and if the regional inspection value QX does not exceed the preset regional inspection threshold, generating an inspection low influence signal.
Embodiment III: as shown in fig. 3, the difference between the embodiment and the embodiment 1 and the embodiment 2 is that the server is in communication connection with the interactive operation comprehensive judging module, if the interactive sensitivity evaluating module does not generate the operation low sensitivity signal, the interactive operation comprehensive judging module performs comprehensive analysis on the operation process of the intelligent interactive module in unit time, judges the abnormal operation condition of the intelligent interactive module, determines whether to generate the operation comprehensive judging abnormal signal according to the operation abnormal signal, and sends the operation comprehensive judging abnormal signal to the intelligent terminal of the corresponding maintainer through the server when the operation comprehensive judging abnormal signal is generated, so as to further capture and accurately feed back the operation abnormality of the intelligent interactive module, and the maintainer can timely perform maintenance inspection of the intelligent interactive module, thereby effectively ensuring the service performance of the intelligent interactive module and prolonging the service life of the intelligent interactive module; the specific operation process of the interactive operation comprehensive judgment module is as follows:
collecting the total running energy consumption and the average running power of the intelligent interaction module in unit time, and calculating the ratio of the total running energy consumption to the average running power to obtain an interaction consumption detection value; the real-time display brightness and the corresponding standard brightness of the intelligent interaction module are acquired, the deviation value of the real-time display brightness compared with the corresponding standard brightness is marked as a bright deviation value, and average value calculation is carried out on all the bright deviation values in unit time to obtain a display bright detection value; the larger the interactive consumption detection value and the numerical value of the display bright detection value are, the worse the running condition of the intelligent interactive module in unit time is indicated;
the method comprises the steps of collecting noise values and vibration values generated by an intelligent interaction module in a unit time at a plurality of detection time points, carrying out average calculation on all the noise values in the unit time to obtain an interaction noise detection value, and carrying out average calculation on all the vibration values in the unit time to obtain an interaction vibration detection value; the larger the values of the interaction noise detection value and the interaction vibration detection value are, the worse the running condition of the intelligent interaction module in unit time is indicated;
carrying out numerical calculation on the interactive consumption detection value WF, the display brightness detection value WY, the interactive noise detection value WQ and the interactive vibration detection value WK through a formula WP=b1 xWF+b2 xWY+ (b3 xWQ+b4 xWK)/2 to obtain an interactive comprehensive judgment value WP, wherein b1, b2, b3 and b4 are preset proportionality coefficients, and the values of b1, b2, b3 and b4 are positive numbers; and the larger the value of the interaction comprehensive judgment value WP is, the worse the operation condition of the intelligent interaction module is indicated; and comparing the interaction comprehensive judgment value WP with a preset interaction comprehensive judgment threshold value, and generating an operation comprehensive judgment abnormal signal if the interaction comprehensive judgment value WP exceeds the preset interaction comprehensive judgment threshold value, which indicates that the operation condition of the intelligent interaction module is poor.
The working principle of the invention is as follows: when the intelligent monitoring system is used, the camera monitoring module is used for monitoring a required monitoring area and collecting real-time monitoring images, the intelligent analysis and identification module is used for performing target detection and behavior analysis operation on the real-time monitoring images by adopting a deep learning algorithm, generating corresponding area security early warning information when abnormal conditions in the required monitoring area are identified, and displaying the area security early warning information and sending corresponding early warning by the intelligent interaction module, so that effective monitoring on the required monitoring area is realized, and the safety of the required monitoring area is guaranteed; and carry out automation and reasonable regulation and control through interactive display control module to the luminance of intelligent interaction module, not only can effectively reduce the energy consumption, can also show and improve the display effect, and detect the analysis through interactive sensitivity evaluation module to intelligent interaction module operation sensitivity, whether through the analysis in order to judge to generate the low sensitivity signal of operation, carry out maintenance inspection to intelligent interaction module when generating the low sensitivity signal of operation to guarantee intelligent interaction module's performance.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation. The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The intelligent interaction type security monitoring system is characterized by comprising a server, a camera monitoring module, an intelligent analysis and identification module, an intelligent interaction module, an interaction display control module and an interaction sensitivity evaluation module; the camera monitoring module monitors a required monitoring area through a camera of a high-resolution wide-angle lens, acquires a real-time monitoring image of the required monitoring area, and sends the real-time monitoring image to the intelligent analysis and identification module through the server; the intelligent analysis and identification module adopts a deep learning algorithm to perform target detection and behavior analysis operation on the real-time monitoring image, identifies abnormal conditions in a required supervision area, generates corresponding area security early warning information, and sends the corresponding area security early warning information to the intelligent interaction module through the server;
the intelligent interaction module displays the security early warning information and sends out corresponding early warning when receiving the security early warning information, and a manager sends out corresponding instructions, checks corresponding information and carries out corresponding parameter setting change through the intelligent interaction module; the interactive display control module is used for setting a display control area in front of the display surface of the intelligent interactive module, switching the intelligent interactive module into a dormant state under the condition that the intelligent interactive module does not receive the security pre-warning information of the area or no manager exists in the display control area, otherwise, determining the adaptive display brightness through display control detection analysis and marking the adaptive display brightness as standard brightness, and controlling the intelligent interactive module to display and operate according to the standard brightness; the interactive sensitivity evaluation module is used for detecting and analyzing the operation sensitivity of the intelligent interactive module, judging whether to generate an operation low-sensitivity signal through analysis, and sending the operation low-sensitivity signal to the intelligent terminal of the corresponding maintenance personnel.
2. The intelligent interactive security monitoring system of claim 1, wherein the intelligent analysis and identification module comprises the following specific analysis processes:
and (3) target detection: performing target detection on each frame in the real-time monitoring image, and rapidly and accurately identifying objects and figures in the monitoring image according to a target detection algorithm in deep learning;
behavioral analysis: after the target detection is completed, performing behavior analysis on the detected target, analyzing the motion trail, speed and direction information of the target depending on an action recognition algorithm in deep learning, and judging whether the target belongs to abnormal behaviors or not;
abnormality detection: performing anomaly detection based on the result of behavior analysis, analyzing and comparing the behaviors through a preset rule or machine learning model, and judging whether the behaviors accord with the characteristics of the abnormal behaviors or not;
and (3) outputting results: if abnormal conditions are detected, regional security early warning information is generated, and the regional security early warning information is output to the intelligent interaction module, wherein the regional security early warning information comprises the time, place and description of abnormal behaviors of the occurrence of the abnormality.
3. The intelligent interactive security monitoring system of claim 1, wherein the specific analysis process of the explicit control detection analysis is as follows:
collecting the position of a manager in a display control area, and calculating the distance between the position of the manager and the position of the intelligent interaction module to obtain a display connection value; based on the vision condition of each manager, respectively corresponding a group of vision influence values of each manager in advance, carrying out identity recognition on the manager, and marking the recognized vision influence values of the manager as vision weight values;
the environment brightness and the air pollution degree in the display control area are collected, the display connection value, the environment brightness and the air pollution degree are calculated to obtain a display control primary detection value, and the display control primary detection value is multiplied by the vision weight value to obtain a display control evaluation value; and presetting a plurality of groups of preset display control evaluation value ranges, wherein each group of preset display control evaluation value ranges corresponds to one group of display brightness, marking the preset display control evaluation value range containing the display control evaluation value as an optimal range, and marking the display brightness corresponding to the optimal range as standard brightness.
4. The intelligent interactive security monitoring system of claim 1, wherein the specific operation of the interactive sensitivity assessment module comprises:
when a manager performs clicking operation on a touch screen of the intelligent interaction module, acquiring clicking contact time and clicking finger pressure, and judging that the corresponding clicking operation is qualified if the clicking contact time and the clicking finger pressure are both in a corresponding preset range; when judging that the corresponding clicking operation is qualified, marking the corresponding clicking operation as interactive noninductive operation if the intelligent interaction module does not react, otherwise, collecting the interval duration of the reaction of the intelligent interaction module and marking the interval duration as an interactive slow value; and obtaining a click interaction evaluation value of the intelligent interaction module through interaction sensitivity evaluation analysis, and generating an operation low-sensitivity signal if the click interaction evaluation value exceeds a preset click interaction evaluation threshold.
5. The intelligent interactive security monitoring system of claim 4, wherein the specific analysis process of the interactive sensitivity evaluation analysis is as follows:
and carrying out summation calculation on all the interaction delay values in unit time and taking an average value to obtain an interaction time table value, marking the ratio of the number of the interaction delay values exceeding a preset interaction delay time threshold value in unit time to the total number of clicking operations as a slow interaction analysis value, marking the ratio of the occurrence times of interaction noninductive operations in unit time to the total number of clicking operations as an interaction noninductive detection value, and carrying out numerical calculation on the interaction noninductive detection value, the slow interaction analysis value and the interaction time table value to obtain a clicking interaction evaluation value.
6. The intelligent interactive security monitoring system according to claim 1, wherein the server is in communication connection with the area management detection and diagnosis module, the area management detection and diagnosis module is used for setting a detection period, analyzing security early warning conditions of an area to be monitored in the detection period, generating a high control signal or a low control signal through analysis, analyzing a patrol condition of the area to be monitored in the detection period when the high control signal is generated, generating a patrol high influence signal or a patrol low influence signal through analysis, and transmitting the high control signal or the low control signal and the patrol high influence signal or the patrol low influence signal to the intelligent interactive module through the server.
7. The intelligent interactive security monitoring system of claim 6, wherein the specific operation process of the regional management detection and diagnosis module comprises:
acquiring generation moments of security early warning information of all areas and marking the generation moments as security early warning moments, performing time difference calculation on two adjacent groups of security early warning moments to obtain installation early warning interval values, and marking the corresponding security early warning interval values as security early warning near interval values if the installation early warning interval values do not exceed a preset security early warning interval threshold value; calculating the ratio of the number of the installation early warning near-interval values to the number of the installation early warning interval values in the detection period to obtain an installation early warning near-occupation value, collecting the times of generating the regional security early warning information in the required supervision region in the detection period and marking the times as the regional security early warning value, and carrying out numerical calculation on the installation early warning near-occupation value and the regional security early warning value to obtain a regional security analysis value; if the regional security analysis value exceeds a preset regional security analysis threshold, generating a high management and control signal; and if the regional security analysis value does not exceed the preset regional security analysis threshold, generating a low management and control signal.
8. The intelligent interactive security monitoring system according to claim 1, wherein when the area high management and control signal is generated, the number of times of inspection for an area to be monitored in a detection period is collected and marked as an area inspection value, the inspection duration of each inspection is collected, and all the inspection durations in the detection period are summed to obtain an inspection time detection value;
the interval time between two adjacent inspection processes is marked as an inter-inspection time length, the inter-inspection time length is compared with a preset inter-inspection time length threshold value in a numerical mode, if the inter-inspection time length exceeds the preset inter-inspection time length threshold value, the corresponding inter-inspection time length is marked as an inter-delay time length, and the ratio of the number of the inter-inspection time lengths in the detection period to the number of the inter-inspection time lengths is calculated to obtain a high-interval inspection condition value;
carrying out numerical calculation on the regional inspection value, the inspection time measurement value and the high-interval inspection condition value to obtain a regional inspection value, and generating an inspection height influence signal if the regional inspection value exceeds a preset regional inspection threshold value; and if the regional inspection value does not exceed the preset regional inspection threshold, generating an inspection low influence signal.
9. The intelligent interactive security monitoring system according to claim 1, wherein the server is in communication connection with the interactive operation comprehensive judging module, and if the operation low sensitivity signal is not generated, the interactive operation comprehensive judging module performs comprehensive analysis on the operation process of the intelligent interactive module in unit time and judges the abnormal operation condition of the intelligent interactive module, so as to determine whether to generate the operation comprehensive judging abnormal signal, and when the operation comprehensive judging abnormal signal is generated, the operation comprehensive judging abnormal signal is sent to the intelligent terminal of the corresponding maintainer through the server.
10. The intelligent interactive security monitoring system of claim 9, wherein the interactive operation comprehensive judgment module comprises the following specific operation processes:
collecting the total running energy consumption and the average running power of the intelligent interaction module in unit time, and calculating the ratio of the total running energy consumption to the average running power to obtain an interaction consumption detection value; the real-time display brightness and the corresponding standard brightness of the intelligent interaction module are acquired, the deviation value of the real-time display brightness compared with the corresponding standard brightness is marked as a bright deviation value, and average value calculation is carried out on all the bright deviation values in unit time to obtain a display bright detection value; the method comprises the steps of collecting noise values and vibration values generated by an intelligent interaction module in a unit time at a plurality of detection time points, carrying out average calculation on all the noise values in the unit time to obtain an interaction noise detection value, and carrying out average calculation on all the vibration values in the unit time to obtain an interaction vibration detection value; and carrying out numerical calculation on the interactive consumption detection value, the display brightness detection value, the interactive noise detection value and the interactive vibration detection value to obtain an interactive comprehensive judgment value, and generating an operation comprehensive judgment abnormal signal if the interactive comprehensive judgment value exceeds a preset interactive comprehensive judgment threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410099081.9A CN117834821A (en) | 2024-01-24 | 2024-01-24 | Intelligent interaction type security monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410099081.9A CN117834821A (en) | 2024-01-24 | 2024-01-24 | Intelligent interaction type security monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117834821A true CN117834821A (en) | 2024-04-05 |
Family
ID=90513547
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410099081.9A Pending CN117834821A (en) | 2024-01-24 | 2024-01-24 | Intelligent interaction type security monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117834821A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469773A (en) * | 2014-09-03 | 2016-04-06 | 富泰华工业（深圳）有限公司 | Display screen brightness adjusting method and system |
| CN110853276A (en) * | 2019-12-05 | 2020-02-28 | 电子科技大学中山学院 | Intelligent security intrusion detection system |
| CN111970753A (en) * | 2020-08-13 | 2020-11-20 | 珠海市魅族科技有限公司 | Intelligent terminal screen dormancy control method, storage medium, processor and intelligent terminal |
| CN112333241A (en) * | 2020-10-13 | 2021-02-05 | 浙江安防职业技术学院 | Intelligent security system based on big data service |
| CN112804489A (en) * | 2020-12-31 | 2021-05-14 | 重庆文理学院 | Internet + -based intelligent construction site management system and method |
| CN113377162A (en) * | 2021-06-09 | 2021-09-10 | 昆山汉元经水水务科技有限公司 | Intelligent community business hall device and query method |
| CN115767017A (en) * | 2022-11-04 | 2023-03-07 | 武汉智谱科技有限公司 | Wisdom sentry monitored control system |
| CN117076283A (en) * | 2023-10-17 | 2023-11-17 | 江苏纳帝电子科技有限公司 | Touch screen performance quality detection analysis method |
-
2024
- 2024-01-24 CN CN202410099081.9A patent/CN117834821A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105469773A (en) * | 2014-09-03 | 2016-04-06 | 富泰华工业（深圳）有限公司 | Display screen brightness adjusting method and system |
| CN110853276A (en) * | 2019-12-05 | 2020-02-28 | 电子科技大学中山学院 | Intelligent security intrusion detection system |
| CN111970753A (en) * | 2020-08-13 | 2020-11-20 | 珠海市魅族科技有限公司 | Intelligent terminal screen dormancy control method, storage medium, processor and intelligent terminal |
| CN112333241A (en) * | 2020-10-13 | 2021-02-05 | 浙江安防职业技术学院 | Intelligent security system based on big data service |
| CN112804489A (en) * | 2020-12-31 | 2021-05-14 | 重庆文理学院 | Internet + -based intelligent construction site management system and method |
| CN113377162A (en) * | 2021-06-09 | 2021-09-10 | 昆山汉元经水水务科技有限公司 | Intelligent community business hall device and query method |
| CN115767017A (en) * | 2022-11-04 | 2023-03-07 | 武汉智谱科技有限公司 | Wisdom sentry monitored control system |
| CN117076283A (en) * | 2023-10-17 | 2023-11-17 | 江苏纳帝电子科技有限公司 | Touch screen performance quality detection analysis method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111507308B (en) | Transformer substation safety monitoring system and method based on video identification technology | |
| CN111599031A (en) | Inspection data acquisition and analysis method and system for power inspection robot | |
| CN112149522A (en) | Intelligent visual external-damage-prevention monitoring system and method for cable channel | |
| CN112173636B (en) | Method for detecting faults of belt conveyor carrier roller by inspection robot | |
| CN116091901A (en) | Operation and maintenance management platform based on fault diagnosis and analysis of monitoring equipment | |
| CN113989711B (en) | Power distribution construction safety tool use identification method and system | |
| CN113177646B (en) | Power distribution equipment online monitoring method and system based on self-adaptive edge proxy | |
| CN117548911A (en) | Connector welding intelligent supervision system based on artificial intelligence | |
| CN114640177B (en) | Electric energy efficiency monitoring method based on electric energy efficiency monitoring device | |
| CN116152202A (en) | Equipment appearance detection system based on image recognition technology and infrared thermal imaging technology | |
| CN112702570A (en) | Security protection management system based on multi-dimensional behavior recognition | |
| CN113485262B (en) | SVM-based fault analysis method for fuel system of thermal power plant | |
| CN117784668A (en) | Flour production line processing safety intelligent supervision system based on data analysis | |
| CN117607590A (en) | High-voltage switch cabinet fault early warning detection method | |
| CN116147697B (en) | Unattended monitoring method and system for aluminum hydroxide | |
| CN117834821A (en) | Intelligent interaction type security monitoring system | |
| CN116257023A (en) | Automatic fault diagnosis and state analysis system for equipment based on Internet of things | |
| CN117746345B (en) | Material state monitoring system and method based on big data | |
| CN117549350B (en) | Module slide oiling system of robot | |
| CN118134435B (en) | Construction site material dynamic tracking supervision early warning system based on data analysis | |
| CN117493129B (en) | Operating power monitoring system of computer control equipment | |
| CN116302763B (en) | Touch detection method and system for Micro LED display screen | |
| CN117172559B (en) | Risk identification early warning method, system and storage medium for Internet of things data | |
| CN117695573A (en) | Wireless temperature measurement early warning type high-voltage control system carrying automatic fire extinguishing protection system | |
| CN117853295A (en) | Safety environmental protection emergency system based on industry interconnection and digital panorama |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |