Rule violation identification safety monitoring method based on electric power operation and related device

Abstract

The invention provides a violation identification safety monitoring method based on electric power operation and a related device. The method comprises the following steps: determining the height of an electric power operation subject matter in an area, the height information of each movement of an operator and the time information of each movement according to the image information of the operation area and the movement information of the operator; on the basis of the height of an electric power operation subject matter, amplitude data and moving time data of up-down movement of an operator each time and dwell time data of the operator at each height are determined; calculating moving time difference data under each piece of amplitude data; judging whether the moving time difference data meets a preset time difference requirement or not under each amplitude data and / or whether the staying time data meets a preset duration requirement or not under each height; and if part of the data does not meet the corresponding requirements, judging that the power operation is abnormal. According to the invention, by monitoring the movement information of the operating personnel in real time, the abnormal behavior in the electric power operation can be accurately identified, and the safety and normalization of the operation are effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power operations, and in particular relates to a safety monitoring method and related devices for identifying violations based on electric power operations. Background Art

[0002] Power construction is an important project to ensure the normal operation of the national economy. The environment of the power construction site is complex and diverse. During the construction process, construction workers are required to professionally and strictly follow the operating guidelines to perform standardized operations. Usually, in order to ensure that construction workers can perform construction safely, they will be filmed and monitored in a standardized manner during the operation to avoid accidents caused by their illegal operations. However, in real life, the carrier of illegal judgment is easily confused with the background of the construction site, and the workers are often far away from the camera. The construction workers are easily blocked or backlit, resulting in unclear judgment features. In addition, traditional on-site operation safety supervision relies on manpower, and relying solely on manpower for supervision will result in low supervision efficiency, high labor costs and easy supervision blind spots. It is difficult to fully and timely control the on-site situation, making it difficult to control safety risks. Summary of the invention

[0003] In view of this, the present invention aims to provide a safety monitoring method and related devices for violation identification based on power operations to solve the above-mentioned problems existing in traditional on-site operation safety supervision methods.

[0004] In order to achieve the above object, the technical solution provided by the present invention is as follows:

[0005] In a first aspect, the present invention provides a safety monitoring method for violation identification based on power operations, comprising the following steps:

[0006] Obtain image information of the work area and movement information of workers;

[0007] Using the image information of the operation area, determine the height of the power operation target in the area;

[0008] Determine the height information of each movement of the operator and the time information of each movement according to the movement information of the operator;

[0009] Based on the height of the power operation object, the height information and time information are used to determine the amplitude data, movement time data and stay time data of each up and down movement of the operator, and form a data set;

[0010] Calculate the time difference between the moving time data and the corresponding historical average moving time of the operator under each amplitude data to obtain the moving time difference data;

[0011] Determine whether the moving time difference data at each amplitude data meets the preset time difference requirement and / or whether the stay time data at each altitude meets the preset time length requirement;

[0012] If the set number of data in the data set does not meet the corresponding requirements, it is determined that the power operation is abnormal.

[0013] Furthermore, the method further includes: using the image information of the working area to determine whether the operator is performing high-altitude work, and the determination process includes:

[0014] Extracting the action information of the operator from the image information of the working area;

[0015] Compare the similarity between the action information and the three-dimensional simulation action model of the operator's climbing work. The three-dimensional simulation action model is a model constructed using the operation actions collected during the operator's historical climbing work.

[0016] If the similarity exceeds the set threshold, it is determined that the operator is performing high-altitude work;

[0017] If the similarity does not exceed the set threshold, it is determined that the operator did not perform high-altitude work.

[0018] Furthermore, judging whether the operator has performed the high-altitude operation also includes: judging whether the line connection in the circuit grounding process is reliable, and obtaining the state information of the line connection.

[0019] Furthermore, the preset time difference requirement and the preset time length requirement are both determined through a historical violation operation database, which records safety hazards, fault events, and status information of safety hazards or fault events caused by historical violation operations of operating personnel. The status information includes at least various types of time information when the operating personnel perform corresponding operations.

[0020] Furthermore, the method further includes: using the image information of the working area to judge the use of the safety tools, and the judgment process includes:

[0021] Identify safety tools from the image information of the work area and obtain corresponding movement information;

[0022] Determine whether the identified safety tool type meets the operation requirements. If not, issue an early warning for the current operation. If yes, proceed to the next step.

[0023] Determine whether the height information of various safety tools matches the height information of the operator. If not, issue an early warning for the current operation.

[0024] Furthermore, a portable wristband device is used to obtain the movement information of the operator.

[0025] In a second aspect, the present invention provides a safety monitoring system for identifying violations of electric power operations, comprising:

[0026] An image acquisition module, used to obtain image information of the working area;

[0027] Fusion sensor terminal, used to obtain the movement information of operators;

[0028] The feature acquisition module is used to determine the height of the power operation target in the area by using the image information of the operation area; it is also used to determine the height information of each movement of the operator and the time information of each movement according to the movement information of the operator;

[0029] The data processing module is used to determine the amplitude data, movement time data and stay time data of the operator at each height based on the height of the power operation target object, using the height information and time information, and form a data set; calculate the time difference between the movement time data and the corresponding historical average movement time of the operator under each amplitude data, and obtain the movement time difference data;

[0030] The safety monitoring module is used to determine whether the moving time difference data under each amplitude data meets the preset time difference requirements and / or whether the residence time data under each height meets the preset time length requirements; if the set number of data in the data set does not meet the corresponding requirements, it is determined that the power operation is abnormal.

[0031] In a third aspect, the present invention provides a computer device, the device comprising a processor and a memory:

[0032] The memory is used to store the computer program and send the instructions of the computer program to the processor;

[0033] The processor executes a violation identification and safety monitoring method based on power operations as described in the first aspect according to the instructions of the computer program.

[0034] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a violation identification and safety monitoring method based on power operations as in the first aspect.

[0035] In a fifth aspect, the present invention provides a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, it implements a violation identification and safety monitoring method based on power operations as in the first aspect.

[0036] In summary, the present invention provides a safety monitoring method and related device for identifying violations based on power operations, including obtaining image information of the operation area and movement information of operators; using the image information of the operation area to determine the height of the power operation target in the area; determining the height information of each movement of the operator and the time information of each movement according to the movement information of the operator; based on the height of the power operation target, using the height information and time information to determine the amplitude data, movement time data and residence time data of each up and down movement of the operator, and forming a data set; calculating the time difference between the movement time data and the corresponding historical average movement time of the operator under each amplitude data, and obtaining the movement time difference data; judging whether the movement time difference data under each amplitude data meets the preset time difference requirement and / or whether the residence time data under each height meets the preset time length requirement; if at least one data does not meet the corresponding requirements, it is determined that the power operation is abnormal. The present invention can accurately identify abnormal behaviors in power operations and effectively improve the safety and standardization of operations by real-time monitoring of the movement information of operators and the image information of the operation area. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 A flowchart of a safety monitoring method for violation identification based on power operations provided by an embodiment of the present invention;

[0039] Figure 2 A block diagram of a safety monitoring system for identifying violations of power operations provided by an embodiment of the present invention;

[0040] Figure 3 A block diagram of the image detection unit provided by an embodiment of the present invention;

[0041] Figure 4 A block diagram of the data analysis unit provided in an embodiment of the present invention;

[0042] Figure 5 A block diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Under the existing technology, the violation judgment carrier is easily confused with the on-site background of the construction site, and the workers are often far away from the camera. The construction workers are easily blocked or backlit, resulting in unclear judgment features. In addition, traditional on-site operation safety supervision relies on manpower. However, relying solely on manpower for supervision will result in low supervision efficiency, high labor costs and easy to have supervision blind spots. It is difficult to fully and timely control the on-site situation, which makes it difficult to control safety risks.

[0045] Based on this, the present invention proposes a safety monitoring method and related device for violation identification based on power operations.

[0046] See also Figure 1 This embodiment provides a safety monitoring method for violation identification based on power operations, comprising the following steps:

[0047] S11: Acquire image information of the work area and movement information of workers.

[0048] It should be noted that this step obtains image information in the working area through a camera or other image acquisition device, and obtains the real-time position and movement trajectory of the operator through a smart wearable device (such as a smart bracelet). The combination of image processing technology and sensor technology can better distinguish between the violation judgment carrier and the operator even in a complex background, which can solve the interference problem.

[0049] In addition, the GPS satellite navigator can also be used to obtain the precise location of the power construction area and the precise location of the power operation objects in the area (including power grid racks, distribution lines, box transformers, distribution rooms, plants and meter boxes in the area). The precise location can provide location information for safety monitoring and early warning.

[0050] S12: Determine the height of the power operation target in the area using the image information of the operation area.

[0051] It should be noted that this step uses image processing technology and computer vision algorithms to analyze image information to determine the specific location and height of the power operation target. Determining the height of the target helps to compare the moving height of the operator in the future, so as to determine whether the operation behavior complies with safety regulations. The automatic measurement of the target height through image analysis technology can accurately identify it even at a long distance, reducing the need for manual intervention.

[0052] S13: Determine the height information of each movement of the operator and the time information of each movement according to the movement information of the operator.

[0053] It should be noted that this step uses data obtained from the smart wearable device to calculate the height of the operator at different time points and the time required to move.

[0054] This step supplements the image information with sensor data, which can better overcome occlusion and backlight problems and ensure accurate recording of the movement of workers.

[0055] By presetting the initial height of the smart bracelet with the horizontal ground height, the height information of the operator can be calculated, and then combined with the time data of the smart bracelet to obtain the corresponding movement time information.

[0056] S14: Based on the height of the power operation target object, the height information and time information are used to determine the amplitude data, movement time data and residence time data of each up and down movement of the operator, and form a data set.

[0057] It should be noted that this step extracts key parameters reflecting the operation characteristics (including movement amplitude data, movement time data, and residence time data) through comprehensive analysis of the data, which can achieve effective behavior pattern recognition even in complex environments.

[0058] S15: Calculate the time difference between the moving time data and the corresponding historical average moving time of the operator under each amplitude data to obtain the moving time difference data.

[0059] It should be noted that this step calculates the moving time difference by comparing the current moving time with the historical average moving time. The time difference data helps to identify whether the operator has abnormal behavior, such as moving too fast or too slow.

[0060] S16: Determine whether the moving time difference data at each amplitude data satisfies the preset time difference requirement and / or whether the stay time data at each altitude satisfies the preset time length requirement.

[0061] It should be noted that this step determines whether the operator's behavior is abnormal based on the preset time difference requirements and duration requirements. The preset requirements are formulated based on historical data and operating procedures, and can effectively identify potential violations.

[0062] The dwell time data can reflect the operation time of the operator when performing a certain operation. Based on this, a time threshold can be preset for each operation process of the operator's operation process, and the time and process of the operator's historical abnormal and illegal operations can be obtained. At the same time, the time is compared with the preset time threshold, and the time threshold is divided into a maximum time threshold and a minimum time threshold. When the operator's operation time in the future period is within the time threshold range, the process operation is judged to be normal. On the contrary, when the operator's operation time is not within the time threshold range, the process operation is judged to be abnormal.

[0063] S17: If a set number of data in the data set does not meet the corresponding requirements, it is determined that the power operation is abnormal.

[0064] It should be noted that in this step, once some behaviors that do not meet the preset standards are detected, the system will trigger an alarm mechanism to prompt management personnel to intervene or conduct further investigation.

[0065] This embodiment provides a safety monitoring method for violation identification based on power operations, which uses image processing technology and sensor technology to effectively distinguish between violation judgment carriers and operators, and can achieve effective monitoring even in complex environments. At the same time, by real-time monitoring of the behavior of operators, abnormal behavior is discovered in time and an alarm is issued, which helps to reduce safety risks at the operation site.

[0066] In one embodiment of the present invention, it further includes: using the image information of the working area to determine whether the operator is performing high-altitude work, and the determination process includes:

[0067] S21: Extracting the action information of the operator from the image information of the working area.

[0068] In this step, image processing techniques such as motion target detection and human key point detection can be used to extract the action features of the operator.

[0069] S22: performing a similarity comparison between the action information and a three-dimensional simulation action model of the operator's high-altitude operation. The three-dimensional simulation action model is a model constructed using operation actions collected during the operator's historical high-altitude operation.

[0070] The model construction in this step is based on the operating actions collected during historical climbing operations, which may involve various action types, such as climbing, standing, bending, etc.

[0071] S23: If the similarity exceeds the set threshold, it is determined that the operator is performing a high-altitude operation; if the similarity does not exceed the set threshold, it is determined that the operator is not performing a high-altitude operation.

[0072] This embodiment can accurately determine whether the operator is performing a high-altitude operation by comparing the operator's action information with the three-dimensional simulation action model of historical high-altitude operations. Timely identification of high-altitude operations can improve the safety management of the work site and prevent safety hazards caused by unauthorized or untrained personnel performing high-altitude operations.

[0073] In one embodiment of the present invention, after determining whether the operator is performing the high-altitude operation, it also includes: determining whether the line connection in the circuit grounding process is reliable, and obtaining the state information of the line connection.

[0074] In this embodiment, the state of line connection can be monitored in real time by sensors (such as pressure sensors, contact sensors, etc.) installed on the power operation target. Image processing technology is also used to identify the line connection situation. For example, the image of the connection point is captured by a camera, and then the features in the image are analyzed to determine whether the line is firmly connected. The sensor data or image analysis results are analyzed to determine whether the line connection is secure. If the line connection is in good condition, it indicates that the connection point is stable and reliable; otherwise, there may be a risk of looseness or improper connection.

[0075] This embodiment records the obtained line connection status information and uses it as part of the subsequent judgment. If a problem is found in the line connection, a warning signal can be sent to the operator or the monitoring center through the system.

[0076] In one embodiment of the present invention, the preset time difference requirement and the preset time length requirement are both determined by a historical violation operation database. The historical violation operation database records the safety hazards, fault events, and status information of the safety hazards or fault events caused by the historical violation operations of the operating personnel. The status information includes at least various types of time information when the operating personnel perform the corresponding operations.

[0077] In this embodiment, firstly, the illegal operation cases and related information of the operators in the past operation process are collected and sorted out and a database is established. The database contains the safety hazards, fault events and related status information of the safety hazards or fault events caused by the operators' historical illegal operations.

[0078] Then analyze the time information in the illegal operation cases to find out the correlation between illegal operations and time factors. Based on the time information in the historical illegal operation database, determine a reasonable range or threshold to judge whether the difference between the current operation and the historical average moving time is abnormal. This range or threshold can be used as the standard for the preset time difference requirement. Also based on the time information in the historical illegal operation database, determine the reasonable time range or threshold for the operator to stay at each height to judge whether the current operation meets the safety regulations. This time range or threshold can be used as the standard for the preset time requirement.

[0079] This embodiment can more accurately determine whether the current operation complies with safety regulations by analyzing the time information in historical illegal operation cases. The preset time difference requirements and preset duration requirements can help timely discover potential safety hazards and reduce the risk of accidents. Clear preset requirements can help operators understand the standards for compliant operations and promote the standardization and normalization of operating processes.

[0080] In one embodiment of the present invention, the method further includes: using the image information of the working area to determine the use of the safety tool, and the determination process includes:

[0081] S31: Identify safety tools from the image information of the work area and obtain corresponding movement information;

[0082] S32: Determine whether the identified safety tool type meets the operation requirements. If not, issue an early warning for the current operation. If yes, proceed to the next step.

[0083] S33: Determine whether the height information of various safety tools matches the height information of the operator. If not, issue an early warning for the current operation.

[0084] This embodiment can timely discover and correct behaviors that do not meet safety requirements by real-time monitoring of the use of safety tools and equipment, effectively preventing the occurrence of safety accidents. It can also ensure that the types of safety tools used match the work requirements, which helps to improve the standardization of work and reduce the risks caused by using the wrong tools.

[0085] In one embodiment of the present invention, a portable wristband device is used to obtain movement information of operators.

[0086] Based on the same inventive concept, the embodiment of the present application also provides a safety monitoring system for violation identification based on electric power operations for implementing the above-mentioned safety monitoring method for violation identification based on electric power operations. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiment of the safety monitoring system for violation identification based on electric power operations provided below can refer to the limitations of the safety monitoring method for violation identification based on electric power operations above, and will not be repeated here.

[0087] This embodiment provides a safety monitoring system for identifying violations of power operations, including:

[0088] An image acquisition module, used to obtain image information of the working area;

[0089] Fusion sensor terminal, used to obtain the movement information of operators;

[0090] The feature acquisition module is used to determine the height of the power operation target in the area by using the image information of the operation area; it is also used to determine the height information of each movement of the operator and the time information of each movement according to the movement information of the operator;

[0091] The data processing module is used to determine the amplitude data, movement time data and stay time data of the operator at each height based on the height of the power operation target object, using the height information and time information, and form a data set; calculate the time difference between the movement time data and the corresponding historical average movement time of the operator under each amplitude data, and obtain the movement time difference data;

[0092] The safety monitoring module is used to determine whether the moving time difference data meets the preset time difference requirements under each amplitude data and / or whether the residence time data meets the preset time length requirements under each height. If the set number of data in the data set does not meet the corresponding requirements, it is determined that the power operation is abnormal.

[0093] See also Figure 2-4 In a possible implementation, the above system can be designed as follows:

[0094] The monitoring and positioning module 110 includes a GPS satellite navigator for obtaining the precise location of the power construction area and the precise location of the power operation object in the area;

[0095] The image acquisition module 120 is used to acquire objects existing near the location of the power operation target in the area, and record and store the acquired objects. It also includes acquiring images of working tools and forming an image database. The working tools include safety helmets, safety belts and work clothes, as well as unmanned escalators. It is also used to acquire facial image information of working personnel.

[0096] The feature acquisition module 130 is used to obtain the angle and shape of the object with respect to the power operation target, and to obtain the number of objects existing next to the power operation target and the distribution spacing of the objects themselves, and also to obtain the height of the power operation target;

[0097] The fusion sensing terminal 140 includes a smart bracelet 1401 integrated with a three-axis acceleration sensor, and an AI law enforcement instrument 1402 communicating with the smart bracelet via Bluetooth networking. The smart bracelet is used to obtain the motion status of the operator, and the AI ​​law enforcement instrument 1402 is used to receive the status information sent by the smart bracelet;

[0098] An image detection unit 150, the image detection unit 150 includes a CCD camera 1501 for acquiring image data, an image data compression module 1502 for compressing and processing the image data of the CCD camera 1501, and an image interception module 1503 for intercepting image data of a preselected area in the image data compression module 1502;

[0099] Information acquisition module 160, used to obtain the historical violation operation records of the operator, including the record of not wearing safety equipment and the record of dangerous operation and maintenance operation

[0100] Furthermore, it also includes a data analysis unit 170, which includes a clothing and hat dot matrix modeling module 1701, a communication module 1702, a preprocessing module 1703 and an early warning module 1704.

[0101] The clothing and hat lattice modeling module 1701 is used to compare the similarity between the construction actions in the collected operation data of the operator and the three-dimensional simulation action model constructed by the historical high-altitude construction operation actions, and construct a three-dimensional model;

[0102] The communication module 1702 establishes a communication connection with the AI ​​body camera 1402 via a wireless Bluetooth network, and is used to send the height data of the work clothes, safety belts and safety helmets moving with the operator during the climbing operation to the AI ​​body camera 1402;

[0103] The pre-processing module 1703 is used to extract, convert, clean and standardize the data sent by the communication module 1702;

[0104] The warning module 1704 is used to issue an alarm when the moving height data of the work clothes, safety belts and safety helmets of the workers during the climbing process are not obtained;

[0105] The fusion sensor terminal 140 also includes an intelligent grounding wire 1403 that is connected to the AI ​​law enforcement device 1402 through Bluetooth wireless networking, which is used to determine whether the line is firmly connected during the circuit grounding process and send the line connection status information to the AI ​​law enforcement device 1402.

[0106] Based on the above, it can be known that the present invention uses image AI recognition, intelligent sensing and wireless Bluetooth networking, and has the workers wear smart bracelets to detect the movement status of the workers and determine whether the workers are performing high-altitude operations. At the same time, the status information is sent to the AI ​​law enforcement instrument via Bluetooth. The AI ​​law enforcement instrument activates the height detection algorithm to find the climbers, and activates the safety belt and escalator detection algorithm to determine whether the climbers are wearing safety belts and whether there is an unmanned escalator phenomenon, thereby reliably and effectively monitoring the safe operation of the workers.

[0107] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0108] Reference Figure 5 An embodiment of the present invention further provides a computer device, comprising: a memory and a processor and a computer program stored in the memory. When the computer program is executed on the processor, the violation identification and safety monitoring method based on power operation as described in any one of the above methods is implemented.

[0109] The computer device may be a desktop computer, a notebook, a PDA, a cloud server or other computing device. The computer device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that Figure 5 It is only an example of a computer device and does not constitute a limitation of the computer device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, it may also include input and output devices, network access devices, etc.

[0110] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0111] In some embodiments, the memory may be an internal storage unit of the computer device, such as a hard disk or memory of the computer device. In other embodiments, the memory may also be an external storage device of the computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device. Furthermore, the memory may include both an internal storage unit and an external storage device of the computer device. The memory is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program. The memory may also be used to temporarily store data that has been output or is to be output.

[0112] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the violation identification and safety monitoring method based on power operations as described in any one of the above methods is implemented.

[0113] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0114] An embodiment of the present invention further provides a computer program product, including a computer program, characterized in that when the computer program is executed by a processor, it implements a violation identification and safety monitoring method based on power operations as described in any one of the above methods.

[0115] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0116] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0117] In the embodiments disclosed in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0118] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A safety monitoring method for violation identification based on power operations, characterized in that: The steps include: Obtain image information of the work area and movement information of workers; Determine the height of the power operation target in the area by using the image information of the operation area; Determine the height information of each movement of the operator and the time information of each movement according to the movement information of the operator; Based on the height of the power operation target object, the height information and the time information are used to determine the amplitude data, movement time data and stay time data of each up and down movement of the operator, and form a data set; Calculate the time difference between the movement time data and the corresponding historical average movement time of the operator under each amplitude data to obtain movement time difference data; Determine whether the moving time difference data under each amplitude data meets the preset time difference requirement and / or whether the stay time data under each altitude meets the preset time length requirement; If a set number of data in the data set does not meet the corresponding requirements, it is determined that the power operation is abnormal.

2. The method for safety monitoring of violation identification based on power operation according to claim 1 is characterized in that: Also includes: Use the image information of the work area to determine whether the operator is performing high-altitude work. The judgment process includes: extracting the action information of the operator from the image information of the operation area; Comparing the similarity between the action information and a three-dimensional simulation action model of the operator's climbing work, wherein the three-dimensional simulation action model is a model constructed by using the operation actions collected during the operator's historical climbing work; If the similarity exceeds the set threshold, it is determined that the operator is performing high-altitude work; If the similarity does not exceed the set threshold, it is determined that the operator is not performing high-altitude work.

3. The method for safety monitoring of violation identification based on power operation according to claim 2 is characterized in that: The determination of whether the operator has performed the high-altitude operation also includes: determining whether the line connection in the circuit grounding process is reliable, and obtaining the status information of the line connection.

4. The method for safety monitoring of violation identification based on power operation according to claim 1 is characterized in that: The preset time difference requirement and the preset time length requirement are both determined through a historical violation operation database, which records safety hazards and fault events caused by historical violation operations of operators, as well as status information of the safety hazards or fault events, wherein the status information includes at least various types of time information when the operator performs the corresponding operation.

5. The method for safety monitoring of violation identification based on power operation according to claim 1 is characterized in that: Also includes: Use the image information of the work area to judge the use of safety tools. The judgment process includes: Identify safety tools from the image information of the work area and obtain corresponding movement information; Determine whether the identified safety tool type meets the operation requirements. If not, issue an early warning for the current operation. If yes, proceed to the next step. Determine whether the height information of various safety tools matches the height information of the operator. If not, issue an early warning for the current operation.

6. The method for safety monitoring of violation identification based on power operation according to claim 1 is characterized in that: The movement information of the operator is obtained using a portable wristband device.

7. A safety monitoring system for violation identification based on power operations, characterized in that: include: An image acquisition module, used to obtain image information of the working area; Fusion sensor terminal, used to obtain the movement information of operators; A feature acquisition module, used to determine the height of the power operation target in the area by using the image information of the operation area; It is also used to determine the height information of each movement of the operator and the time information of each movement according to the movement information of the operator; A data processing module is used to determine the amplitude data, movement time data and residence time data of each up and down movement of the operator based on the height of the power operation target object and using the height information and the time information, and form a data set; calculate the time difference between the movement time data and the corresponding historical average movement time of the operator under each amplitude data, and obtain the movement time difference data; The safety monitoring module is used to determine whether the moving time difference data under each amplitude data meets the preset time difference requirement and / or whether the residence time data under each height meets the preset time length requirement; if a set number of data in the data set does not meet the corresponding requirements, it is determined that an abnormality has occurred in the power operation.

8. A computer device, characterized in that: The device comprises a processor and a memory: The memory is used to store a computer program and send instructions of the computer program to the processor; The processor executes a violation identification and safety monitoring method based on power operations as described in any one of claims 1 to 6 according to the instructions of the computer program.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, it implements a violation identification and safety monitoring method based on power operations as described in any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, a violation identification and safety monitoring method based on power operations as described in any one of claims 1 to 6 is implemented.

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