CN111885360A - Intelligent monitoring system for block chain production workshop - Google Patents
Intelligent monitoring system for block chain production workshop Download PDFInfo
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- CN111885360A CN111885360A CN202010757164.4A CN202010757164A CN111885360A CN 111885360 A CN111885360 A CN 111885360A CN 202010757164 A CN202010757164 A CN 202010757164A CN 111885360 A CN111885360 A CN 111885360A
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- 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
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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
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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Abstract
The invention relates to the technical field of video monitoring, in particular to an intelligent monitoring system for a block chain production workshop, which comprises: the setting module is used for setting the number of preset positions according to the number of the working stations; the acquisition module is used for automatically cruising and acquiring a monitoring video of a preset position in a production workshop; the identification module is used for identifying a target object in the monitoring video and determining the appearance time and the appearance position of the target object; the generation module is used for judging whether the number of people in the preset position is abnormal or not and whether the personnel behavior in the preset position is abnormal or not according to the target object, the occurrence time and the occurrence position and generating a monitoring record; the suspicious module is used for generating a suspicious report according to the monitoring record and sending early warning information; and the terminal module is used for receiving the early warning information. The invention can effectively help the staff to process abnormal emergencies, and solves the technical problems that the prior art is difficult to analyze and judge the sensitive behavior actions of criminals and effectively screens out abnormal behaviors.
Description
Technical Field
The invention relates to the technical field of video monitoring, in particular to an intelligent monitoring system for a block chain production workshop.
Background
The current monitoring mode of a production workshop is to lay and install video monitoring equipment, connect a local area network and send the local area network to each monitoring center and a command center, and arrange an on-duty police officer to monitor in front of a large screen. However, the number of monitoring video windows is generally large, and due to the fact that the large screen cannot display all monitoring video pictures at the same time, only the pictures can be displayed in turn, so that important situations can be overlooked, and manual watching is difficult to monitor twenty-four hours in seven days at any time. Due to the inherent disadvantages of the conventional monitoring system, the blockchain is also gradually used in the field of video monitoring as a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm, and the like.
For example, document CN109190527A discloses a people trajectory representation system for a campus based on block chain and video screen monitoring, which belongs to the technical field of internet and comprises video data processing equipment, a central database, a user terminal and video monitoring equipment arranged in each block of the campus; the output end of the video monitoring equipment is connected with the video data processing equipment, the output end of the video data processing equipment is connected with the central database, and the user terminal is used for displaying data in the central database; the video monitoring equipment is used for acquiring face pictures of people in the corresponding blocks and the time and duration of the people in the blocks; the video data processing equipment is used for processing the information acquired by the video monitoring equipment by adopting a face recognition technology and storing a processing result to a central database; and the user terminal is used for calling and displaying the corresponding processing result from the central database according to the user request. By the mode, the intelligent level and the safety of park management are improved.
Although, in the prior art, the face information in the shot picture can be analyzed by the intelligent analysis device, the time and duration of the area where the person is located are recorded, the suspicious person entering the park is identified, and the suspicious person is tracked. By utilizing the characteristics of the ultra-large rotation range of the ball machine (the maximum rotation range can reach 360 degrees), the automatic cruise and intelligent analysis of stations in a production workshop can be realized by setting the preset position for automatic cruise, and the early warning is carried out on abnormal conditions. However, for the production workshop environment of prisons, the personnel composition is complex, and the crime types and crime records of criminals are different, which greatly increases the possibility of violent behaviors, so that the sensitive behavior actions of the criminals are difficult to accurately analyze and judge, and abnormal behaviors are effectively screened out.
Disclosure of Invention
The invention provides an intelligent monitoring system for a block chain production workshop, which solves the technical problems that the prior art is difficult to analyze and judge the sensitive behavior actions of criminals and effectively screen out abnormal behaviors.
The basic scheme provided by the invention is as follows: intelligent monitoring system of block chain workshop includes:
the setting module is used for setting the number of preset positions according to the number of the working stations;
the acquisition module is used for automatically cruising and acquiring a monitoring video of a preset position in a production workshop;
the identification module is used for identifying a target object in the monitoring video and determining the appearance time and the appearance position of the target object;
the generation module is used for judging whether the number of people in the preset position is abnormal or not and whether the personnel behavior in the preset position is abnormal or not according to the target object, the occurrence time and the occurrence position, generating a monitoring record and storing the monitoring record through a block chain technology;
the suspicious module is used for generating a suspicious report according to the monitoring record, sending early warning information and storing the suspicious report through a block chain technology;
and the terminal module is used for receiving the early warning information.
The working principle of the invention is as follows: the method comprises the steps of setting preset positions in places needing important monitoring in a production workshop, determining the number of the preset positions according to the number of working stations, and then automatically cruising and acquiring monitoring videos of the preset positions in the production workshop through a ball machine. And then, identifying the target object in the monitoring video, determining the appearance time and the appearance position of the target object, judging whether the number of people in the preset position is abnormal and whether the personnel behavior in the preset position is abnormal according to the target object, the appearance time and the appearance position, and generating a monitoring record. And finally, comprehensively judging whether people are suspicious and which people are suspicious according to specific contents of monitoring records, such as whether the number of people in the preset position is abnormal, whether the behavior of people in the preset position is abnormal, the motion track of the target object, the occurring sensitive time, the occurring sensitive position and the like, and sending early warning information to an administrator terminal in real time when the suspicious situation occurs, so that the administrator can conveniently perform corresponding processing according to the situation.
The invention has the advantages that:
1. sensitive actions can be timely and accurately found, and abnormal behaviors can be effectively screened out;
2. the monitoring records and the suspicious reports are stored through a block chain technology, distributed storage is realized, the monitoring records and the suspicious reports can be effectively prevented from being tampered, and the authenticity of the monitoring records and the suspicious reports is ensured;
3. the target object is automatically monitored, monitoring personnel do not need to check a large amount of monitoring videos, and human resources are greatly saved;
4. the target object can be tracked in the whole process, the target object is not easy to lose, and the monitoring efficiency and accuracy are improved.
The invention improves the efficiency of finding the sensitive behaviors, can effectively help the staff to process abnormal emergencies, and solves the technical problems that the prior art is difficult to analyze and judge the sensitive behavior actions of criminals and effectively screen out the abnormal behaviors.
Further, the identification module is also used for judging whether the target object is a foreign person.
Has the advantages that: the production workshop is divided into a plurality of different areas, and video monitoring equipment is respectively installed in each area, so that the foreign person refers to a person which is not required to be present in a certain area, for example, a person is required to work in the area A, and for the area B, the person is the foreign person. By timely identifying whether a certain area has external personnel, conflicts and contradictions among strangers can be prevented in advance.
Further, the identification module includes:
the acquisition unit is used for acquiring a face picture in the monitoring video;
the calling unit is used for extracting a face picture sample stored in advance;
the analysis unit is used for analyzing the face picture and the face picture sample to obtain face characteristics;
the comparison unit is used for comparing the face characteristics of the face picture with the face characteristics of the face picture sample to obtain the similarity;
and the judging unit is used for judging whether the person is a foreign person according to the similarity.
Has the advantages that: the face features of the face picture are compared with the face features of the face picture sample to obtain the similarity, and whether the face picture sample is an external person or not is judged according to the similarity.
Further, the identification module further comprises: and the storage unit is used for storing the face pictures of the external personnel.
Has the advantages that: the face picture of the external person is stored, and when the external person appears again, the face picture can be timely found.
Further, the generation module includes: and the flow unit is used for counting the personnel flow of each area of the production workshop, judging whether the personnel flow of each area exceeds a flow threshold value or not, and determining the time and the area when the personnel flow exceeds the flow threshold value.
Has the advantages that: the personnel flow in each area of the production workshop is counted, whether the personnel flow in each area is too much can be found in time, and therefore group conflict is prevented.
Further, the generation module includes: and the prompting unit is used for specially prompting the time and the area when the personnel flow exceeds the flow threshold.
Has the advantages that: the time and the area with excessive flow of the personnel are specially prompted, so that the working personnel can check the real-time monitoring video of the relevant time and the area conveniently, and therefore the corresponding measures can be taken at the first time.
Further, the generation module includes: and the distance unit is used for calculating the average distance between the personnel in the area with the personnel flow exceeding the preset threshold value and judging whether the average distance is smaller than the distance threshold value.
Has the advantages that: when the distance between the personnel is too small and the personnel is too dense, the collision is very likely to occur, and therefore, when the personnel is too dense, the staff is called to pay attention, so that the possibility of the collision can be reduced.
Further, the generation module includes: and the limb unit is used for analyzing the behavior and the action of the personnel and judging whether the action frequency of any personnel exceeds a frequency threshold value.
Has the advantages that: the action frequency of the personnel is too high, and the limb action is very likely to occur, so that the personnel is reminded to pay attention when the action frequency of the personnel is too high, and the related behaviors can be effectively stopped.
Further, the generation module includes: and the direction unit is used for analyzing the moving directions of the personnel and judging whether the moving directions of the personnel are concentrated in one direction.
Has the advantages that: the movement of the personnel is concentrated in one direction, and it is very likely that something is brought to attention of people, and the attention of the personnel is called, so that abnormal conditions can be found in time.
Further, the generation module includes: and the expression unit is used for analyzing the facial expression of the person and judging whether the person is angry.
Has the advantages that: the facial expressions of the personnel are analyzed, the emotional states of the personnel can be found in time, and therefore the behaviors of the personnel are effectively predicted.
Drawings
Fig. 1 is a block diagram of a system structure of an embodiment of the intelligent monitoring system for a blockchain production workshop according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
The embodiment of the intelligent monitoring system for the block chain production workshop is basically as shown in the attached figure 1 and comprises the following components:
the setting module is used for setting the number of preset positions according to the number of the working stations;
the acquisition module is used for automatically cruising and acquiring a monitoring video of a preset position in a production workshop;
the identification module is used for identifying a target object in the monitoring video and determining the appearance time and the appearance position of the target object;
the generation module is used for judging whether the number of people in the preset position is abnormal or not and whether the personnel behavior in the preset position is abnormal or not according to the target object, the occurrence time and the occurrence position, generating a monitoring record and storing the monitoring record through a block chain technology;
the suspicious module is used for generating a suspicious report according to the monitoring record, sending early warning information and storing the suspicious report through a block chain technology;
and the terminal module is used for receiving the early warning information.
The specific implementation process is as follows:
in this embodiment, the acquisition module is a monitoring ball machine; the setting module, the identification module, the generation module and the suspicious module are integrated on the server, and the functions of the server are realized in a hardware/program/software mode; the terminal module is a mobile phone or a tablet computer.
The generation workshop is divided into a plurality of areas, such as 8 areas, each area is set to be 1 preset position by the setting module, the number of the preset positions is 8, and each preset position is only 1 person. The monitoring ball machine cruises the preset positions, shoots a monitoring video and sends the monitoring video to the identification module in real time.
And after the identification module receives the real-time monitoring video, identifying the target object in the monitoring video, and determining the appearance time and the appearance position of the target object. That is, it is necessary to identify which people are in the surveillance video, at what point in time, at what time period, and at what locations. For example, three pictures appear in the monitoring video, the appearance time is 10:30, and the appearance position is the B area of the production workshop. In addition, the identification module also judges whether the target object is a foreign person, for example, whether the position of the Zhang III appearing in the monitoring video is consistent with the position of the regular work. Specifically, the identification module comprises an acquisition unit, a calling unit, an analysis unit, a comparison unit, a judgment unit and a storage unit. First, an acquisition unit acquires face pictures in a monitoring video, for example, three sheets of face pictures should work in an area a but appear in an area B, and three sheets of face pictures are extracted from the monitoring video in the area B. And secondly, extracting the face picture samples stored in advance by the calling unit, wherein for example, the B area has 10 persons, and then extracting the face picture samples of the 10 persons. And thirdly, analyzing the face picture and the face picture sample by an analyzing unit to obtain face features, such as face contour features of eyes, a nose, eyebrows and the like. And fourthly, comparing the face characteristics of the face picture with the face characteristics of the face picture samples by the comparison unit to obtain the similarity, namely comparing the face picture of the third person with the face picture samples of 10 persons in the B area one by one and calculating the similarity one by one. And fifthly, the judging unit judges whether the person is a foreign person according to the similarity, for example, the similarity threshold is artificially set to 96%, and the similarity between the face feature of lie four and the face feature of zhang three is the highest and 40% among 10 persons in the B area, and is far less than the similarity threshold, so that zhang three is judged as a foreign person for the B area. And sixthly, the storage unit stores the face pictures of the outsiders, and when the picture is displayed in the B area next time, the picture can be found at the first time.
Then, the generation module generates a monitoring record according to the target object, the occurrence time and the occurrence position. First, it is necessary to determine whether the number of people in the preset position is abnormal and whether the behavior of people in the preset position is abnormal. Specifically, the number of people in each preset position is preset to be 1, and the number of people in each preset position is 0 or 2 or more, and whether the number of people in each preset position is abnormal is judged; and in the normal state, the target object is in a standing state, and if the target object is in a lying-prone and sitting state, whether the personnel behavior of the preset position is abnormal is judged.
In addition, on the one hand, a monitoring record needs to be generated for each specific person in the production shop, and in the case of zhang san, his monitoring record is that zhang san should be in the B area of the production shop at 10:30, and zhang san should be in the a area during working hours. On the other hand, after the monitoring record is generated for each specific person in the production workshop, the monitoring record needs to be generated for the whole body formed by all the persons in the production workshop. Specifically, the generation module further comprises a flow unit, a distance unit, a limb unit, a direction unit and an expression unit. Firstly, a flow unit counts the personnel flow of each area of a production workshop, judges whether the personnel flow of each area exceeds a flow threshold value or not, and determines the time and the area when the personnel flow exceeds the flow threshold value. For example, the flow threshold is set to be 3 persons/hour, which is the normal flow of persons in different areas needing to communicate and cooperate, if the flow of persons in the area B at 10:00 is 6 persons/hour and is greater than the flow threshold by 3 persons/hour, the time and area "10: 00, area B" when the flow of persons exceeds the flow threshold are determined. And secondly, calculating the average distance between the personnel in the area with the personnel flow exceeding the preset threshold value by the distance unit, and judging whether the average distance is smaller than the distance threshold value. For example, the distance threshold is 0.8m, the number of people in the B area is 12, and if the average distance is 1.1m and is greater than the distance threshold of 0.8m, it indicates that the people in the B area are performing normal work communication; on the contrary, if the average distance is 0.7mm and is less than the distance threshold value of 0.8m, it indicates that the personnel in the B area are not performing normal work communication, and a conflict may occur. And thirdly, analyzing the behavior and the action of the personnel by the limb unit, and judging whether the action frequency of any personnel exceeds a frequency threshold value. For example, the frequency threshold is 15 times/minute, if the action frequency of the arm of zhang san is 10 times/minute, which is less than the frequency threshold is 15 times/minute, it indicates that the arm of zhang san is only normal activity; on the contrary, if the action frequency of zhang san arm is 30 times/min, which is greater than the frequency threshold value of 15 times/min, it indicates that zhang san arm is not normally active, and it may be that a conflict occurs to cause the limb action. And fourthly, analyzing the moving directions of the personnel by the direction unit, and judging whether the moving directions of the personnel are concentrated in one direction or not. If the movement of the personnel is concentrated in one direction, it is very likely that something is brought to the attention of people, and the attention of the personnel is called, so that the abnormal condition can be found in time. And fifthly, analyzing the facial expression of the person by the expression unit, and judging whether the person is angry. For example, the emotion of zhang san is an angry state, and it is highly likely that an overstimulation action is made. After the monitoring record is generated, the monitoring record is stored through a block chain technology, so that the monitoring record is prevented from being tampered, and the authenticity of the monitoring record is ensured.
Then, the suspicious module generates a suspicious report according to the monitoring record. Specifically, for the individual person: the monitoring records are mainly motion tracks, namely where the motion tracks appear at different time points. Taking Zhang three as an example, his monitoring record is that Zhang three appears in the B area of the production workshop at 10:30, but Zhang three should be only in the A area during the working period, so a suspicious report of Zhang three behavior abnormity is generated. Secondly, for the personnel as a whole, the monitoring records mainly comprise the flow of the personnel, the average distance between the personnel, the action frequency of the personnel, the flow direction of the personnel and the facial expression of the personnel. For example, the B region: the personnel flow is 6 persons/hour and is more than the flow threshold value by 3 persons/hour; the average distance between the persons is 1.1m, which is larger than the distance threshold value of 0.8 m; the action frequency of Zhang Sanlian arm is 30 times/minute, and the action frequency is 15 times/minute when being larger than the frequency threshold; the movement of the person is concentrated in one direction; the emotion of zhang san is the state of anger. At this point, a suspicious report of "10: 00, B-zone, abnormal condition" is generated. After the suspicious report is generated, the suspicious report is stored through a block chaining technology, so that the suspicious report is prevented from being tampered, and the authenticity of the suspicious report is ensured.
And finally, the terminal module calls the suspicious report according to the user request and displays the suspicious report.
The manager of the production workshop can receive suspicious reports, such as 'three-row behavior is abnormal' or '10: 00, B area, abnormal condition', through a mobile phone terminal or a tablet computer.
Example 2
The difference from the embodiment 1 is only that the generating module further comprises a prompting unit for specifically prompting the time and the area when the personnel flow exceeds the flow threshold. Therefore, the staff can check the real-time monitoring video of the relevant time and area, and can take corresponding measures at the first time.
Example 3
The difference with embodiment 2 is only that, still include suggestion bracelet, be used for receiving risk information, and send out the early warning. Specifically, each person who works in the workshop wears the suggestion bracelet, and after suspicious module generated suspicious report according to the control record, when sending early warning information, not only sent the terminal for managers, also sent every personnel's bracelet. After the bracelet received the early warning information, remind personnel to have the abnormal conditions through vibration or luminous form to guide personnel to evacuate, reduce the emergence possibility of conflict. In addition, the generation module calls crime record information of each person from the database and judges which persons have violent crimes according to the crime record information, so that the persons who have violent crimes can be monitored in a key mode, and meanwhile managers are asked to pay key attention to and stop behaviors of the persons.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. Block chain workshop intelligent monitoring system which characterized in that includes:
the setting module is used for setting the number of preset positions according to the number of the working stations;
the acquisition module is used for automatically cruising and acquiring a monitoring video of a preset position in a production workshop;
the identification module is used for identifying a target object in the monitoring video and determining the appearance time and the appearance position of the target object;
the generation module is used for judging whether the number of people in the preset position is abnormal or not and whether the personnel behavior in the preset position is abnormal or not according to the target object, the occurrence time and the occurrence position, generating a monitoring record and storing the monitoring record through a block chain technology;
the suspicious module is used for generating a suspicious report according to the monitoring record, sending early warning information and storing the suspicious report through a block chain technology;
and the terminal module is used for receiving the early warning information.
2. The system for intelligently monitoring a blockchain production plant according to claim 1, wherein the identification module is further configured to determine whether the target object is a foreign person.
3. The system for intelligently monitoring a blockchain production plant according to claim 2, wherein the identification module comprises:
the acquisition unit is used for acquiring a face picture in the monitoring video;
the calling unit is used for extracting a face picture sample stored in advance;
the analysis unit is used for analyzing the face picture and the face picture sample to obtain face characteristics;
the comparison unit is used for comparing the face characteristics of the face picture with the face characteristics of the face picture sample to obtain the similarity;
and the judging unit is used for judging whether the person is a foreign person according to the similarity.
4. The system for intelligently monitoring a blockchain production plant according to claim 3, wherein the identification module further comprises: and the storage unit is used for storing the face pictures of the external personnel.
5. The intelligent blockchain production shop monitoring system according to claim 4, wherein the generating module includes: and the flow unit is used for counting the personnel flow of each area of the production workshop, judging whether the personnel flow of each area exceeds a flow threshold value or not, and determining the time and the area when the personnel flow exceeds the flow threshold value.
6. The system for intelligently monitoring a blockchain production plant according to claim 5, wherein the generating module comprises: and the prompting unit is used for specially prompting the time and the area when the personnel flow exceeds the flow threshold.
7. The system for intelligently monitoring a blockchain production plant according to claim 6, wherein the generating module comprises: and the distance unit is used for calculating the average distance between the personnel in the area with the personnel flow exceeding the preset threshold value and judging whether the average distance is smaller than the distance threshold value.
8. The system for intelligently monitoring a blockchain production plant according to claim 7, wherein the generating module comprises: and the limb unit is used for analyzing the behavior and the action of the personnel and judging whether the action frequency of any personnel exceeds a frequency threshold value.
9. The system for intelligently monitoring a blockchain production plant according to claim 8, wherein the generating module comprises: and the direction unit is used for analyzing the moving directions of the personnel and judging whether the moving directions of the personnel are concentrated in one direction.
10. The system for intelligently monitoring a blockchain production plant according to claim 9, wherein the generating module comprises: and the expression unit is used for analyzing the facial expression of the person and judging whether the person is angry.
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| CN112507972A (en) * | 2020-12-28 | 2021-03-16 | 贵州东冠科技有限公司 | Performance assessment system based on block chain |
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| CN113507589A (en) * | 2021-06-08 | 2021-10-15 | 山西三友和智慧信息技术股份有限公司 | Safety monitoring device based on artificial intelligence |
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