CN115174663A - Personnel safety monitoring method and device based on block chain - Google Patents

Personnel safety monitoring method and device based on block chain Download PDF

Info

Publication number
CN115174663A
CN115174663A CN202211081392.XA CN202211081392A CN115174663A CN 115174663 A CN115174663 A CN 115174663A CN 202211081392 A CN202211081392 A CN 202211081392A CN 115174663 A CN115174663 A CN 115174663A
Authority
CN
China
Prior art keywords
real
time
equipment
operating equipment
safety monitoring
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
Application number
CN202211081392.XA
Other languages
Chinese (zh)
Inventor
尹子航
朱斯语
池程
张钰雯
杨鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Academy of Information and Communications Technology CAICT
Original Assignee
China Academy of Information and Communications Technology CAICT
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Academy of Information and Communications Technology CAICT filed Critical China Academy of Information and Communications Technology CAICT
Priority to CN202211081392.XA priority Critical patent/CN115174663A/en
Publication of CN115174663A publication Critical patent/CN115174663A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • G16Y20/10Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • G16Y20/40Information sensed or collected by the things relating to personal data, e.g. biometric data, records or preferences
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/10Detection; Monitoring
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/50Safety; Security of things, users, data or systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Game Theory and Decision Science (AREA)
  • Tourism & Hospitality (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Remote Sensing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Computer Security & Cryptography (AREA)
  • Emergency Management (AREA)
  • Alarm Systems (AREA)

Abstract

The embodiment of the disclosure discloses a personnel safety monitoring method and a device based on a block chain, wherein the method comprises the following steps: establishing an equipment association relation table in advance based on equipment identification, positioning device information and size information of equipment in a factory, and uploading the equipment association relation table to a target block chain node; acquiring real-time body contour positions of workers based on a positioning device on a work clothes of the workers in a factory; determining operating equipment in a factory, and determining positioning device information and size information of the operating equipment based on an equipment identifier of the operating equipment and an equipment association relation table, so as to determine the real-time outline position of the operating equipment; and based on the real-time contour position of the operating equipment and the real-time body contour position of the worker, carrying out real-time safety monitoring on the worker. The embodiment of the disclosure can monitor the safety of the working personnel in real time according to the real-time contour positions of the working personnel and the operation equipment in a factory, and improves the safety of the working personnel.

Description

Personnel safety monitoring method and device based on block chain
Technical Field
The disclosure relates to the technical field of block chains, in particular to a personnel safety monitoring method and a personnel safety monitoring device based on a block chain.
Background
A large-sized device is usually provided in a plant, and if a plant person does not work according to a safe workflow or finds that the plant person enters a device track for maintenance and starts the device, a safety accident between the device and the plant person may occur.
Currently, some factories perform safety monitoring by means of video monitoring. However, the monitoring mode based on the monitoring camera is difficult to monitor all areas in the factory in real time, and some areas such as the inner area of the pipeline cannot be provided with the monitoring camera, so that safety accidents in the factory sometimes happen.
Disclosure of Invention
The embodiment of the disclosure provides a personnel safety monitoring method and a personnel safety monitoring device based on a block chain, so as to improve the safety of factory personnel in work.
In a first aspect of the embodiments of the present disclosure, a method for monitoring personnel safety based on a block chain is provided, including:
establishing an equipment association relation table in advance based on equipment identification, positioning device information and size information of equipment in a factory, and uploading the equipment association relation table to a target block chain node;
based on the positioner on staff's the work clothes in the mill, acquire staff's real-time body contour position, wherein, positioner on the work clothes includes: the work clothes comprise a plurality of sensing elements arranged at different positions on the work clothes and at least one communication positioning module, wherein the communication positioning module is used for acquiring the position information of the sensing elements;
determining operating equipment in the plant, and determining positioning device information and size information of the operating equipment based on the equipment identification of the operating equipment and the equipment association relation table;
determining a real-time contour position of the operating equipment based on the positioning device information and the size information of the operating equipment;
and carrying out real-time safety monitoring on the staff based on the real-time contour position of the operating equipment and the real-time body contour position of the staff.
In one embodiment of the present disclosure, the acquiring the real-time body contour position of the worker based on a positioning device on a work clothes of the worker in the factory includes:
acquiring real-time positions of the plurality of sensing elements through the communication positioning module;
determining a real-time body contour position of the worker based on the real-time positions of the plurality of sensing elements and distribution information of the plurality of sensing elements on the work garment.
In an embodiment of the present disclosure, the determining the real-time contour position of the running device based on the positioning device information and the size information of the running device includes:
extracting the positioning point real-time position of the operating equipment from the positioning device information of the operating equipment;
and determining the real-time contour position of the operating equipment based on the positioning point real-time position, the position of the positioning point on the operating equipment and the size information.
In an embodiment of the present disclosure, the performing real-time safety monitoring on the staff based on the real-time contour position of the operation device and the real-time body contour position of the staff includes:
determining a real-time position relationship between the operation equipment and the staff based on the real-time contour position of the operation equipment and the real-time body contour position of the staff;
performing real-time safety prediction on the staff based on the real-time position relation;
and if the real-time safety prediction result represents that the safety accident is expected to occur in the preset time by the worker, controlling the operation equipment to stop operating.
In an embodiment of the present disclosure, the performing real-time safety prediction on the staff member based on the real-time position relationship includes:
detecting whether the operating equipment has a carrying space for carrying the working personnel;
if the operating equipment has the carrying space and the fact that the worker is about to enter the carrying space is predicted based on the real-time position relation, the worker is determined to be safe within the preset time;
and if the operating equipment does not have the carrying space and the fact that the worker is about to contact the operating equipment is predicted based on the real-time position relation, determining that the worker is predicted to have a safety accident within preset time.
In one embodiment of the present disclosure, the plurality of sensing elements are disposed at a cuff position, an arm joint position, a shoulder position, a waist position, a knee position, and a bottom of a trouser leg position of the coverall.
In an embodiment of the present disclosure, after the monitoring the safety of the staff in real time based on the real-time contour position of the operating device and the real-time body contour position of the staff, the method further includes:
and periodically uploading the result of the real-time safety monitoring to the target block chain node.
In a second aspect of the embodiments of the present disclosure, a block chain-based personnel safety monitoring apparatus is provided, including:
the block chain link point processing module is used for establishing an equipment association relation table in advance based on equipment identification, positioning device information and size information of equipment in the factory and uploading the equipment association relation table to a target block chain node;
the first positioning module is used for acquiring the real-time body contour position of the staff based on a positioning device on the work clothes of the staff in the factory, wherein the positioning device on the work clothes comprises: the work clothes comprise a plurality of sensing elements arranged at different positions on the work clothes and at least one communication positioning module, wherein the communication positioning module is used for acquiring the position information of the sensing elements;
an operating equipment information determining module, configured to determine operating equipment in the plant, and determine, based on the equipment identifier of the operating equipment and the equipment association relationship table, positioning device information and size information of the operating equipment;
the second positioning module is used for determining the real-time contour position of the operating equipment based on the positioning device information and the size information of the operating equipment;
and the safety monitoring module is used for carrying out real-time safety monitoring on the staff based on the real-time contour position of the operating equipment and the real-time body contour position of the staff.
In an embodiment of the disclosure, the first positioning module is configured to acquire real-time positions of the plurality of sensing elements through the communication positioning module, and determine real-time body contour positions of the staff member based on the real-time positions of the plurality of sensing elements and distribution information of the plurality of sensing elements on the work clothes.
In an embodiment of the disclosure, the second positioning module is configured to extract a real-time location of a positioning point of the operating device from the positioning device information of the operating device, and determine a real-time contour position of the operating device based on the real-time location of the positioning point, a location of the positioning point on the operating device, and the size information.
In an embodiment of the present disclosure, the safety monitoring module is configured to determine a real-time position relationship between the operation device and the worker based on a real-time contour position of the operation device and a real-time body contour position of the worker, and perform real-time safety prediction on the worker based on the real-time position relationship; and if the real-time safety prediction result represents that the safety accident is predicted to occur by the staff within the preset time, controlling the operation equipment to stop operating.
In one embodiment of the present disclosure, the safety monitoring module is configured to detect whether the operating device has a carrying space for carrying the worker; if the operating equipment has the carrying space and the fact that the worker is about to enter the carrying space is predicted based on the real-time position relation, the worker is determined to be safe within the preset time; and if the operating equipment does not have the carrying space and the fact that the worker is about to contact the operating equipment is predicted based on the real-time position relation, determining that the worker is predicted to have a safety accident within preset time.
In one embodiment of the present disclosure, the plurality of sensing elements are disposed at a cuff position, an arm joint position, a shoulder position, a waist position, a knee position, and a bottom of a trouser leg position of the coverall.
In an embodiment of the present disclosure, the blockchain node processing module is further configured to periodically upload the result of the real-time security monitoring to the target blockchain node.
In a third aspect of the embodiments of the present disclosure, there is provided an electronic device, including:
a memory for storing a computer program;
a processor, configured to execute the computer program stored in the memory, and when the computer program is executed, implement the above-mentioned method for monitoring people safety based on block chain in the first aspect.
In a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, where the computer program is configured to, when executed by a processor, implement the method for monitoring people safety based on a blockchain according to the first aspect.
According to the personnel safety monitoring method and device based on the block chain, the equipment identification, the positioning device information and the size information of the equipment in the factory are associated in advance to obtain an equipment association relation table, and then the equipment association relation table is uploaded to the block chain nodes. During the operation of equipment in a factory, on one hand, the real-time contour position of a worker is obtained through a positioning device on a worker work clothes, on the other hand, the real-time contour position of the operation equipment is determined based on the positioning device information and the size information of the operation equipment obtained from an equipment association relation table, and then the worker is subjected to real-time safety monitoring according to the real-time contour position of the operation equipment and the real-time body contour position of the worker, so that whether the worker is in contact with the operation equipment or is about to be in contact with the operation equipment can be monitored, whether a safety accident occurs or not can be monitored, the safety accident is monitored, the operation equipment is stopped from running the safety accident, or the worker is prompted, and the work safety of the worker is improved.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The present disclosure may be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a block chain based personnel safety monitoring method in one embodiment of the present disclosure;
FIG. 2 is a block diagram of a block chain based personnel safety monitoring device according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an electronic device in an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
It will be understood by those within the art that the terms "first", "second", etc. in the embodiments of the present disclosure are used only for distinguishing between different steps, devices or modules, etc., and do not denote any particular technical meaning or necessary logical order therebetween.
It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the disclosure, may be generally understood as one or more, unless explicitly defined otherwise or stated otherwise.
In addition, the term "and/or" in the present disclosure is only one kind of association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B, may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.
It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be discussed further in subsequent figures.
The disclosed embodiments may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, networked personal computers, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Fig. 1 is a flowchart of a block chain-based personnel safety monitoring method according to an embodiment of the present disclosure. As shown in fig. 1, the block chain-based personnel safety monitoring method includes:
s1: and establishing an equipment association relation table in advance based on the equipment identification, the positioning device information and the size information of the equipment in the factory, and uploading the equipment association relation table to the target block chain node.
The devices within the plant have corresponding device identifications. The devices in the plant in this embodiment at least include devices that can be operated in the plant, such as a crown block, a crane, various vehicles for the plant, and the like.
The device identification of the devices within the plant may include a code, bar code, or two-dimensional code on the device name plate.
The positioning device information may include satellite positioning information (e.g., information for positioning by Beidou positioning or GPS). The locating device information can also include information of a wireless communication module, wherein the wireless communication module can wirelessly communicate with the in-plant locating device so that the locating device can determine the position of the in-plant device based on the wireless communication. The positioning device information may include a code of the positioning device and an installation position of the positioning device on the equipment, for example, the equipment in a certain factory is a cubic equipment, and the positioning device of the equipment may be set at a preset position of a certain surface of the cube (for example, a center point position of the surface).
The dimensional information can include information of physical dimensions of the devices within the plant, such as length, width, and height of the devices within the plant. And for the equipment in the factory with the irregular shape, the overall dimension information of the equipment can be determined based on the three-dimensional model by establishing the three-dimensional model.
And establishing an equipment association relation table based on the equipment identifier, the positioning device information and the size information of the equipment in the factory by using a safety monitoring terminal (such as a PC terminal) in the factory, and uploading the equipment association relation table to the target block chain node.
S2: based on the positioning device on the work clothes of the workers in the factory, the real-time body contour positions of the workers are obtained. Wherein, positioner on the work clothes includes: the work clothes comprise a plurality of sensing elements arranged at different positions on the work clothes and at least one communication positioning module, wherein the communication positioning module is used for acquiring the position information of the sensing elements.
The staff opens the locate function on the work clothes after dressing the work clothes, gathers the real-time position of a plurality of response elements by positioner on the work clothes, then sends the safety monitoring terminal in mill with self real-time position and a plurality of response element's real-time position by positioner to safety monitoring terminal can acquire staff's real-time health profile position in mill in real time.
S3: and determining operating equipment in the plant, and determining the positioning device information and the size information of the operating equipment based on the equipment identification of the operating equipment and the equipment association relation table.
The safety monitoring terminal is in communication connection with equipment in a factory and can acquire the running state of the equipment in the factory. When a certain device in a factory runs, the safety monitoring terminal can acquire the information and the size information of the device positioning device through the target block chain node.
S4: and determining the real-time contour position of the operating equipment based on the positioning device information and the size information of the operating equipment.
And after the safety monitoring terminal obtains the information of the positioning device, the safety monitoring terminal communicates with the positioning device of the operating equipment to obtain the real-time position of the positioning device of the operating equipment and the installation position of the positioning device on the operating equipment. The safety monitoring terminal can obtain the real-time outline position of the operating equipment based on the real-time position of the positioning device, the installation position of the positioning device on the operating equipment and the size information of the operating equipment.
S5: and based on the real-time contour position of the operating equipment and the real-time body contour position of the worker, carrying out real-time safety monitoring on the worker.
The safety monitoring terminal can monitor whether the working personnel is in contact with the operation equipment or is about to be in contact with the operation equipment based on the real-time contour position of the operation equipment and the real-time body contour position of the working personnel, so that whether the working personnel has safety accidents or is about to have safety accidents is monitored, and the operation state of the operation equipment is controlled.
In this embodiment, the device identifier, the positioning apparatus information, and the size information of the device in the factory are associated to obtain a device association relation table, and then uploaded to the block chain node. During the operation of equipment in a factory, on one hand, the real-time contour position of a worker is obtained through a positioning device on a worker work clothes, on the other hand, the real-time contour position of the operation equipment is determined based on the positioning device information and the size information of the operation equipment obtained from an equipment association relation table, and then the worker is subjected to real-time safety monitoring according to the real-time contour position of the operation equipment and the real-time body contour position of the worker, so that whether the worker is in contact with the operation equipment or is about to be in contact with the operation equipment can be monitored, whether a safety accident occurs or not can be monitored, the safety accident is monitored, the operation equipment is stopped from running the safety accident, or the worker is prompted, and the work safety of the worker is improved.
In one embodiment of the present disclosure, step S2 may include:
s2-1: and acquiring the real-time positions of the plurality of sensing elements through the communication positioning module.
For different types of work clothes, the relative positions of the positioning device and the plurality of sensing elements on the work clothes can be different. The positioning device on the work clothes can acquire the real-time positions of the sensing elements on the work clothes in a wireless communication mode.
S2-2: and determining the real-time body contour position of the staff member based on the real-time positions of the plurality of sensing elements and the distribution information of the plurality of sensing elements on the work clothes.
The positioning device on the work clothes can determine the real-time body contour position of the staff based on the real-time positions of the plurality of sensing elements on the work clothes and the distribution information of the plurality of sensing elements on the work clothes.
Because the staff of different sizes also can exist because the staff's health does not completely expand the work clothes because the work clothes is worn to the staff to make the relative position between positioner on the work clothes and a plurality of induction element different, consequently can set up a orientation module to every induction element, promote induction element's positioning accuracy, and then promote the positioning accuracy to staff's real-time health profile position.
In this embodiment, a plurality of sensing elements on the work clothes can send the position information of the sensing elements to the positioning device on the work clothes, and then the real-time body contour position of the worker can be determined quickly and accurately based on the real-time positions of the sensing elements and the distribution information of the sensing elements on the work clothes by the positioning device on the work clothes.
In one embodiment of the present disclosure, step S4 may include:
s4-1: and extracting the real-time position of the positioning point of the operating equipment from the information of the positioning device of the operating equipment.
And after the safety monitoring terminal obtains the information of the positioning device, the safety monitoring terminal communicates with the positioning device of the operating equipment to obtain the real-time position of the positioning point where the positioning device of the operating equipment is located.
S4-2: and determining the real-time contour position of the operating equipment based on the positioning point real-time position and the size information.
The safety monitoring terminal can obtain the real-time contour position of the operating equipment based on the real-time position of the positioning point, the device position of the positioning point on the operating equipment and the size information of the operating equipment. In this embodiment, the size information may include size information of a three-dimensional model of the operating device. Specifically, the safety monitoring terminal may pre-establish a three-dimensional model of the operating device, and obtain a position of the positioning point in the three-dimensional model. After the real-time position of the positioning point is obtained, the real-time position of each point in the three-dimensional model can be determined according to the position of the positioning point, the three-dimensional model and the position of the positioning point in the three-dimensional model, and further the real-time contour position of the operating equipment can be determined.
In this embodiment, the real-time contour position of the operating device can be determined quickly and accurately based on the real-time position of the positioning point in the operating device, the position of the positioning point on the operating device, and the size information of the operating device.
In one embodiment of the present disclosure, step S5 may include:
s5-1: and determining a real-time position relation between the operation equipment and the staff based on the real-time contour position of the operation equipment and the real-time body contour position of the staff. Wherein, the real-time position relation between the operation equipment and the staff can include: contact, no contact, and accommodation. In this case, the accommodation marking staff is located in the operating device, for example in the cockpit of the operating device.
S5-2: and carrying out real-time safety prediction on the working personnel based on the real-time position relation. If the operation equipment and the staff are in a non-accommodation relationship, whether the staff is about to contact with the operation equipment or not can be predicted according to the movement tracks of the operation equipment and the staff in a preset time period. When the fact that the worker is about to contact with the operating equipment is predicted, the result of real-time safety prediction represents that the worker is predicted to have a safety accident within preset time; when the fact that the worker does not contact with the operation equipment within the preset time is predicted, the result of the real-time safety prediction represents the safety of the worker within the preset time.
S5-3: and if the result of the real-time safety prediction represents that the safety accident is predicted to occur by the working personnel within the preset time, controlling the operation equipment to stop operating.
In this embodiment, based on the real-time contour position of the operation device and the real-time body contour position of the worker, the real-time position relationship between the operation device and the worker can be obtained, the worker is subjected to trial safety prediction based on the real-time position relationship, and the safety accident is predicted to occur within the preset time when the result of the real-time safety prediction represents the worker, so that the operation device is controlled to stop operating, and the safety of the worker can be effectively improved.
In one embodiment of the present disclosure, step S5-2 may include:
s5-2-1: whether the operation equipment has carrying space for carrying working personnel is detected. The carrying space can comprise a cockpit for running equipment, a carrying platform for carrying workers and other carrying spaces for carrying the workers to carry out factory operation.
S5-2-2: and if the operation equipment has a carrying space and the fact that the worker is about to enter the carrying space is predicted based on the real-time position relation, determining that the worker is safe within the preset time.
S5-2-3: if the operating equipment does not have a carrying space and the fact that the worker is about to contact the operating equipment is predicted based on the real-time position relation, it is determined that the worker is predicted to have a safety accident within the preset time.
In the embodiment, according to the fact that whether the operation equipment has the carrying space and the real-time position relation between the operation equipment and the working personnel, the safety of the working personnel can be rapidly and accurately predicted, and the safety misjudgment probability is reduced.
In one embodiment of the present disclosure, a plurality of sensing elements are disposed on the coverall at a cuff position, an arm joint position, a shoulder position, a waist position, a knee position, and a bottom of a trouser leg position, respectively. Thus, after the worker wears the work clothes and starts the positioning function on the work clothes, the positioning device on the work clothes can obtain the cuff position, the arm joint position, the shoulder position, the waist position, the knee position and the trouser bottom position of the worker.
In this embodiment, after the worker wears the coverall, the real-time positions of the plurality of body parts of the worker can be obtained through the plurality of sensing elements disposed at the cuff position, the arm joint position, the shoulder position, the waist position, the knee position and the bottom of the trousers position of the coverall, so as to obtain the real-time body contour position of the worker.
In an embodiment of the present disclosure, after step S5, the method may further include:
s6: and periodically uploading the result of the real-time safety monitoring to the target block chain node so as to be stored by the target block chain node.
In this embodiment, the real-time safety monitoring result is periodically uploaded to the target block chain node, which is helpful for improving or updating the determination standard data of safety monitoring for relevant data before or after a safety accident occurs or a safety accident is about to occur (for example, the operating device stops operating after being close to a preset distance of a worker), so as to improve the safety monitoring precision.
Fig. 2 is a block diagram of a block chain-based personal safety monitoring device according to an embodiment of the present disclosure. As shown in fig. 2, the block chain based personnel safety monitoring device includes:
the block chain node processing module 100 is configured to establish an equipment association table in advance based on equipment identifiers, positioning device information, and size information of equipment in a factory, and upload the equipment association table to a target block chain node;
a first positioning module 200, configured to obtain a real-time body contour position of a worker based on a positioning device on a work clothes of the worker in a factory, where the positioning device on the work clothes includes: the work clothes comprise a plurality of sensing elements arranged at different positions on the work clothes and at least one communication positioning module, wherein the communication positioning module is used for acquiring the position information of the sensing elements;
an operating equipment information determining module 300, configured to determine operating equipment in a plant, and determine, based on an equipment identifier of the operating equipment and an equipment association table, positioning device information and size information of the operating equipment;
a second positioning module 400 for determining a real-time contour position of the operating device based on the positioning device information and the size information of the operating device;
and the safety monitoring module 500 is used for carrying out real-time safety monitoring on the working personnel based on the real-time contour position of the operating equipment and the real-time body contour position of the working personnel.
In an embodiment of the present disclosure, the first positioning module 200 is configured to acquire real-time positions of the plurality of sensing elements through the communication positioning module, and determine a real-time body contour position of the worker based on the real-time positions of the plurality of sensing elements and distribution information of the plurality of sensing elements on the work clothes.
In an embodiment of the present disclosure, the second positioning module 400 is configured to extract a real-time location of a positioning point of the operating device from the positioning device information of the operating device, and determine a real-time contour position of the operating device based on the real-time location of the positioning point, a location of the positioning point on the operating device, and the size information.
In one embodiment of the present disclosure, the safety monitoring module 500 is configured to determine a real-time position relationship between the operation device and the worker based on the real-time contour position of the operation device and the real-time body contour position of the worker, and perform real-time safety prediction on the worker based on the real-time position relationship; and if the result of the real-time safety prediction represents that the safety accident is predicted to occur by the working personnel within the preset time, controlling the operation equipment to stop operating.
In one embodiment of the present disclosure, the safety monitoring module 500 is configured to detect whether the operating device has a carrying space for carrying a worker; if the operating equipment has a carrying space and the fact that the worker is about to enter the carrying space is predicted based on the real-time position relation, the worker is determined to be safe within the preset time; if the operating equipment does not have a carrying space and the fact that the worker is about to contact the operating equipment is predicted based on the real-time position relation, it is determined that the worker is predicted to have a safety accident within the preset time.
In one embodiment of the present disclosure, a plurality of sensing elements are provided at a cuff position, an arm joint position, a shoulder position, a waist position, a knee position, and a bottom of a trouser leg position of the coverall.
In one embodiment of the present disclosure, the block link node processing module 100 is further configured to periodically upload the results of the real-time security monitoring to the target block link node.
It should be noted that, a specific implementation manner of the block chain based personnel safety monitoring apparatus in the embodiment of the present disclosure is similar to a specific implementation manner of the block chain based personnel safety monitoring method in the embodiment of the present disclosure, and specific reference is specifically made to the description of the block chain based personnel safety monitoring method, and details are not repeated for reducing redundancy.
In addition, an embodiment of the present disclosure further provides an electronic device, including:
a memory for storing a computer program;
a processor, configured to execute the computer program stored in the memory, and when the computer program is executed, implement the block chain-based personnel safety monitoring method according to any of the above embodiments of the present disclosure.
Fig. 3 is a block diagram of an electronic device according to an embodiment of the present disclosure. Next, an electronic apparatus according to an embodiment of the present disclosure is described with reference to fig. 3. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom.
As shown in fig. 3, the electronic device includes one or more processors and memory.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
The memory may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium and executed by a processor to implement the blockchain-based people safety monitoring methods of the various embodiments of the present disclosure described above and/or other desired functions.
In one example, the electronic device may further include: an input device and an output device, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
The input device may also include, for example, a keyboard, mouse, and the like.
The output device may output various information including the determined distance information, direction information, and the like to the outside. The output devices may include, for example, a display, speakers, printer, and a communication network and its connected remote output devices, among others.
Of course, for simplicity, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 3, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device may include any other suitable components, depending on the particular application.
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the blockchain based personnel safety monitoring method according to the various embodiments of the present disclosure described in the above section of the present specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the steps in the blockchain based people safety monitoring method according to the various embodiments of the present disclosure described in the above section of this specification.
The computer readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer-readable storage medium, and when executed, executes the steps including the method embodiments; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
The block diagrams of devices, apparatuses, devices, systems involved in the present disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The method and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. Such decomposition and/or recombination should be considered as equivalents of the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.

Claims (10)

1. A personnel safety monitoring method based on a block chain is characterized by comprising the following steps:
establishing an equipment association relation table in advance based on equipment identification, positioning device information and size information of equipment in a factory, and uploading the equipment association relation table to a target block chain node;
acquiring the real-time body contour position of the staff based on a positioning device on the work clothes of the staff in the factory, wherein the positioning device on the work clothes comprises: the work clothes comprise a plurality of sensing elements arranged at different positions on the work clothes and at least one communication positioning module, wherein the communication positioning module is used for acquiring the position information of the sensing elements;
determining operating equipment in the plant, and determining positioning device information and size information of the operating equipment based on equipment identification of the operating equipment and the equipment association relation table;
determining a real-time contour position of the operating equipment based on the positioning device information and the size information of the operating equipment;
and carrying out real-time safety monitoring on the staff based on the real-time contour position of the operating equipment and the real-time body contour position of the staff.
2. The personnel safety monitoring method based on block chain according to claim 1, characterized in that, the obtaining the real-time body contour position of the staff based on the positioning device on the work clothes of the staff in the factory comprises:
acquiring real-time positions of the plurality of sensing elements through the communication positioning module;
determining a real-time body contour position of the worker based on the real-time positions of the plurality of sensing elements and distribution information of the plurality of sensing elements on the work garment.
3. The block chain-based personnel safety monitoring method according to claim 1, wherein the determining the real-time contour position of the operating equipment based on the positioning device information and the size information of the operating equipment comprises:
extracting the positioning point real-time position of the operating equipment from the positioning device information of the operating equipment;
and determining the real-time contour position of the operating equipment based on the positioning point real-time position, the position of the positioning point on the operating equipment and the size information.
4. The block chain-based personnel safety monitoring method according to claim 1, wherein the real-time safety monitoring of the staff based on the real-time contour position of the operation equipment and the real-time body contour position of the staff comprises:
determining a real-time positional relationship between the operation device and the worker based on the real-time contour position of the operation device and the real-time body contour position of the worker;
performing real-time safety prediction on the staff based on the real-time position relation;
and if the real-time safety prediction result represents that the safety accident is predicted to occur by the staff within the preset time, controlling the operation equipment to stop operating.
5. The block chain based personnel safety monitoring method according to claim 4, wherein said real-time safety prediction of said staff member based on said real-time location relationship comprises:
detecting whether the operating equipment has a carrying space for carrying the working personnel;
if the operating equipment has the carrying space and the fact that the worker is about to enter the carrying space is predicted based on the real-time position relation, the worker is determined to be safe within the preset time;
and if the operating equipment does not have the carrying space and the fact that the worker is about to contact the operating equipment is predicted based on the real-time position relation, determining that the worker is predicted to have a safety accident within preset time.
6. The block chain based personnel safety monitoring method of any one of claims 1 to 5 wherein the plurality of sensing elements are provided at cuff position, arm joint position, shoulder position, waist position, knee position and bottom of trousers position of the coverall.
7. The block chain-based personnel safety monitoring method according to claim 1, characterized in that after the real-time safety monitoring of the staff based on the real-time contour position of the operation equipment and the real-time body contour position of the staff, further comprising:
and periodically uploading the result of the real-time safety monitoring to the target block chain node.
8. A personnel safety monitoring device based on block chain, characterized in that includes:
the block chain link point processing module is used for establishing an equipment association relation table in advance based on equipment identification, positioning device information and size information of equipment in the factory and uploading the equipment association relation table to a target block chain node;
the first positioning module is used for acquiring the real-time body contour position of the staff based on a positioning device on the work clothes of the staff in the factory, wherein the positioning device on the work clothes comprises: the work clothes comprise a plurality of sensing elements arranged at different positions on the work clothes and at least one communication positioning module, wherein the communication positioning module is used for acquiring the position information of the sensing elements;
an operating equipment information determining module, configured to determine operating equipment in the plant, and determine, based on the equipment identifier of the operating equipment and the equipment association relationship table, positioning device information and size information of the operating equipment;
the second positioning module is used for determining the real-time contour position of the operating equipment based on the positioning device information and the size information of the operating equipment;
and the safety monitoring module is used for carrying out real-time safety monitoring on the working personnel based on the real-time contour position of the operating equipment and the real-time body contour position of the working personnel.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing a computer program stored in the memory, and when the computer program is executed, implementing the block chain based personnel safety monitoring method of any of the preceding claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method for monitoring people safety based on blockchain according to any one of claims 1 to 7.
CN202211081392.XA 2022-09-06 2022-09-06 Personnel safety monitoring method and device based on block chain Pending CN115174663A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202211081392.XA CN115174663A (en) 2022-09-06 2022-09-06 Personnel safety monitoring method and device based on block chain

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211081392.XA CN115174663A (en) 2022-09-06 2022-09-06 Personnel safety monitoring method and device based on block chain

Publications (1)

Publication Number Publication Date
CN115174663A true CN115174663A (en) 2022-10-11

Family

ID=83480840

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211081392.XA Pending CN115174663A (en) 2022-09-06 2022-09-06 Personnel safety monitoring method and device based on block chain

Country Status (1)

Country Link
CN (1) CN115174663A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160046261A1 (en) * 2014-08-17 2016-02-18 Toyota Motor Engineering & Manufacturing North America, Inc. Advanced seatbelt interlock using video recognition
WO2018018574A1 (en) * 2016-07-29 2018-02-01 罗伯特·博世有限公司 Personnel protection system and operation method therefor
US20190272757A1 (en) * 2018-03-05 2019-09-05 Jungheinrich Ag System for collision avoidance and method for collision avoidance
CN112015134A (en) * 2020-08-31 2020-12-01 安徽中烟工业有限责任公司 Storage cabinet personal safety protection safety system and safety control method thereof
US20210255309A1 (en) * 2018-08-28 2021-08-19 Salunda Limited Personnel safety sensing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160046261A1 (en) * 2014-08-17 2016-02-18 Toyota Motor Engineering & Manufacturing North America, Inc. Advanced seatbelt interlock using video recognition
WO2018018574A1 (en) * 2016-07-29 2018-02-01 罗伯特·博世有限公司 Personnel protection system and operation method therefor
US20190272757A1 (en) * 2018-03-05 2019-09-05 Jungheinrich Ag System for collision avoidance and method for collision avoidance
US20210255309A1 (en) * 2018-08-28 2021-08-19 Salunda Limited Personnel safety sensing
CN112015134A (en) * 2020-08-31 2020-12-01 安徽中烟工业有限责任公司 Storage cabinet personal safety protection safety system and safety control method thereof

Similar Documents

Publication Publication Date Title
CN107885170B (en) Safety production control device, system and method
US9819509B2 (en) Systems and methods for location-based control of equipment and facility resources
Marvel et al. Implementing speed and separation monitoring in collaborative robot workcells
US20150049911A1 (en) Method and device for safeguarding a hazardous working area of an automated machine
WO2019165079A2 (en) High-precision abnormal motion detection for power tools
JP2015095209A (en) Monitoring device and monitoring method
TW201842266A (en) Fall protection equipment connection status and control
US10872514B1 (en) Safety system for tracking movable objects during vehicle production
CN111086944B (en) Escalator and moving walkway system with safety sensor
US20180229379A1 (en) Contact determination device, control device, contact determination system, contact determination method, and non-transitory computer-readable recording medium
Sultan Mahmud et al. Smart fire detection system with early notifications using machine learning
CN110751809A (en) Construction safety monitoring method and related product
CN109843514B (en) Method and autonomous system for collision detection
US11756326B2 (en) Keepout zone detection and active safety system
KR20150031985A (en) System for tracking dangerous situation in cooperation with mobile device and method thereof
US20200099893A1 (en) Anti-collision and motion control systems and methods
KR20230031037A (en) Method and sensing device for monitoring region of interest in workspace
CN114757650A (en) Intelligent enterprise management system
JP7157727B2 (en) Elevator safety work management system and elevator safety work management device
JP6557853B2 (en) Abnormal state notification system, abnormal state notification program, abnormal state notification method, and abnormal state notification device
CN106354105B (en) System and method for controlling device and facility resources based on location
CN115174663A (en) Personnel safety monitoring method and device based on block chain
Guo et al. A BIM-RFID unsafe on-site behavior warning system
WO2017141577A1 (en) Impact prediction device, impact prediction system, control device, impact prediction method, and impact prediction program
TWM598447U (en) Abnormal human activity recognition system using wearable electronic device and mixed reality technology

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20221011