Auxiliary management and control method for paperless responsibility crawler and related device

Abstract

The invention discloses an auxiliary management and control method, an auxiliary management and control device and auxiliary management and control equipment for paperless responsibility crawler, and a computer readable storage medium, and the method comprises the steps that a mobile terminal obtains a positioning signal according to a preset period; when the positioning signal reaches the range of a transformer substation map, sending card punching information to a server, so that the server records the card punching information; when a starting message of the violation content voice recognition function is received, acquiring voice data through a microphone; identifying the voice data to obtain violation content data; associating corresponding violation clause data and violation qualitative data based on the violation content data; and sending the violation clause data and the violation qualitative data to the server, so that the server records the violation clause data and the violation qualitative data to form responsibility competing data. According to the method, the construction site supervision efficiency is improved, and the labor cost of site supervision is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of digital technology, and more specifically, relates to an auxiliary management and control method, an auxiliary management and control device, an auxiliary management and control equipment, and a computer-readable storage medium for paperless performance of responsibilities. Background Art

[0002] Substation construction safety management refers to the important management activities that aim to prevent and control various safety accidents at the construction site, protect the safety and health of construction personnel, power grid equipment and the surrounding environment, and ensure the smooth progress of the project by formulating and implementing a series of safety rules and emergency measures during the implementation of new construction, renovation, expansion and technical transformation projects of substations. It covers safety education and training, on-site safety inspections, hidden danger investigation and treatment, the installation and maintenance of safety protection facilities, special operations personnel management, accident emergency preparation and response, etc., and is an indispensable part of substation safety production.

[0003] In the relevant technology, it is necessary to arrange relevant technical management personnel to arrive at the site, carry out on-site safety management work, perform relevant safety management duties, and keep safety management responsibility records. However, due to the influence of the construction site, there is a problem of only supervising the site and forgetting to keep relevant responsibility records; due to the level and sense of responsibility of the personnel in place, the quality of on-site control is inconsistent; when there are many on-site control problems, some problems are missed; the responsibility records are paper records, which wastes resources.

[0004] Therefore, how to improve the efficiency of construction site supervision and reduce the labor cost of on-site supervision is a key issue that technical personnel in this field are concerned about. Summary of the invention

[0005] The purpose of this application is to provide an auxiliary management and control method, auxiliary management and control device, auxiliary management and control equipment, and computer-readable storage medium for paperless performance of responsibilities. This method improves the efficiency of construction site supervision and reduces the labor cost of on-site supervision.

[0006] In view of the above defects or improvement needs of the prior art, the present invention provides an auxiliary management and control method for paperless performance of responsibilities, including:

[0007] The mobile terminal obtains the positioning signal according to a preset period;

[0008] When the positioning signal reaches the substation map range, the punch-in information is sent to the server so that the server records the punch-in information;

[0009] When receiving a message to start the voice recognition function of the traffic violation content, voice data is acquired through a microphone;

[0010] Recognizing the voice data to obtain violation content data;

[0011] Corresponding violation clause data and violation qualitative data are associated with the violation content data;

[0012] The violation clause data and the violation qualitative data are sent to the server so that the server can record the violation clause data and the violation qualitative data to form responsibility performance data.

[0013] Optionally, also include:

[0014] Acquire working environment photo data through camera;

[0015] Performing illegal behavior recognition on the work environment photo data through an illegal behavior recognition model to obtain illegal behavior information photo data;

[0016] Locating staff information based on the violation information photo data and matching corresponding violation information;

[0017] The staff information and the violation information are displayed based on a preset path.

[0018] Optionally, also include:

[0019] The server stores the received performance data and uploads it to the cloud.

[0020] Optionally, also include:

[0021] The server records and organizes the responsibility performance data, obtains the responsibility performance process and results, and uses them as responsibility chain data, wherein the responsibility chain data includes discoverer data, processor data, final acceptance data, and violation event data.

[0022] Optionally, also include:

[0023] The server monitors the status of the implementation of the violation event data in real time;

[0024] When unfinished violation event data is monitored, the corresponding reminder information is sent.

[0025] The present application also provides a paperless responsibility-fulfilling auxiliary control device, including:

[0026] A positioning module, used to obtain positioning signals according to a preset period;

[0027] An automatic clock-in module, used for sending clock-in information to a server when the positioning signal reaches the substation map range, so that the server records the clock-in information;

[0028] A voice data acquisition module, used to acquire voice data through a microphone when receiving a start message of the violation content voice recognition function;

[0029] A voice data recognition module, used to recognize the voice data and obtain violation content data;

[0030] A violation matching module, used for associating corresponding violation clause data and violation qualitative data based on the violation content data;

[0031] The data sending module is used to send the violation clause data and the violation qualitative data to the server so that the server can record the violation clause data and the violation qualitative data to form responsibility performance data.

[0032] Optionally, also include:

[0033] The violation identification module is used to obtain work environment photo data through a camera; identify violation behaviors on the work environment photo data through a violation behavior identification model to obtain violation information photo data; locate staff information based on the violation information photo data and match corresponding violation information; and display the staff information and the violation information based on a preset path.

[0034] Optionally, the server is used to record and organize the responsibility performance data, obtain the responsibility performance process and results, and use them as responsibility chain data, wherein the responsibility chain data includes discoverer data, processor data, final acceptance data, and violation event data.

[0035] The present application also provides an auxiliary control device, including:

[0036] Memory for storing computer programs;

[0037] A processor is used to implement the steps of the auxiliary management and control method as described above when executing the computer program.

[0038] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the auxiliary management and control method as described above are implemented.

[0039] The present application provides an auxiliary management and control method for paperless responsibility fulfillment, including: a mobile terminal obtains a positioning signal according to a preset period; when the positioning signal reaches the substation map range, a check-in information is sent to a server so that the server records the check-in information; when a startup message of a violation content voice recognition function is received, voice data is obtained through a microphone; the voice data is recognized to obtain violation content data; based on the violation content data, corresponding violation clause data and violation qualitative data are associated; the violation clause data and the violation qualitative data are sent to the server so that the server records the violation clause data and the violation qualitative data to form responsibility fulfillment data.

[0040] It has the following beneficial effects:

[0041] By obtaining positioning signals at preset intervals through mobile terminals and automatically clocking in when reaching the substation map range, accurate supervision and automatic recording of staff attendance are achieved, avoiding forgetfulness and cheating in manual clocking in, and improving the accuracy and standardization of attendance management. Secondly, the voice recognition function of violation content facilitates staff to directly describe the violation by voice on site, improving the convenience and efficiency of operation, especially suitable for complex site environments. Furthermore, the recognition of voice data and the association with violation clauses and qualitative data can quickly and accurately determine the violation and its nature, provide a basis for subsequent processing, and make safety management more standardized and rigorous. It improves the efficiency of construction site supervision and reduces the labor cost of on-site supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present application 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 embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 A flowchart of a paperless responsibility-assisting management and control method provided in an embodiment of the present application;

[0044] Figure 2 A schematic diagram of the structure of an auxiliary control device for paperless performance of responsibilities provided in an embodiment of the present application;

[0045] Figure 3 A schematic diagram of the structure of the auxiliary control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] The core of this application is to provide an auxiliary management and control method, auxiliary management and control device, auxiliary management and control equipment, and computer-readable storage medium for paperless performance of responsibilities. This method improves the efficiency of construction site supervision and reduces the labor cost of on-site supervision.

[0047] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0048] The following is an example of an auxiliary management and control method for paperless performance of responsibilities provided by this application.

[0049] Please refer to, Figure 1 A flowchart of an auxiliary management and control method for paperless performance of responsibilities provided in an embodiment of the present application.

[0050] In this embodiment, the method may include:

[0051] S101, the mobile terminal obtains a positioning signal according to a preset period;

[0052] In this step, the mobile terminal is usually equipped with a positioning module (such as GPS, Beidou, etc.), which can receive satellite signals and determine its own location information. By setting a preset period, the mobile terminal can obtain positioning signals at fixed time intervals to grasp the changes in its own position in real time.

[0053] In the system settings of the mobile terminal, you can configure the relevant parameters of the positioning function, including the positioning method (such as high-precision positioning mode), the period for obtaining positioning signals (such as obtaining once every 5 minutes), etc. At the software level, developers can write code to call the positioning API of the mobile terminal to realize the function of obtaining positioning signals according to the preset period.

[0054] By regularly acquiring positioning signals, the location information of the staff can be understood in real time, which facilitates the supervision and management of their arrival at work. For example, if a staff member arrives near a substation, the system can obtain this information in a timely manner, providing a basis for subsequent clocking-in operations, which helps to improve the efficiency and accuracy of on-site management.

[0055] S102, when the positioning signal reaches the substation map range, the punch-in information is sent to the server so that the server records the punch-in information;

[0056] Based on S101, the positioning signal obtained by the mobile terminal in this step will be compared with the pre-stored substation map range information. When the location represented by the positioning signal is within the substation map range, the mobile terminal will send the punch-in information to the server through the network communication module (such as Wi-Fi, mobile data network, etc.). After receiving the punch-in information, the server will store it in the database as a record of the staff's arrival.

[0057] First, it is necessary to establish a database of the substation map range in the system to store the geographic location coordinate information of the substation and the corresponding map boundary data. After obtaining the positioning signal, the mobile terminal uses the geographic information system (GIS) algorithm or a simple coordinate comparison algorithm to determine whether the positioning signal is within the substation map range. If it is within the range, the network communication protocol (such as HTTP, TCP / IP, etc.) is used to send the punch-in information containing employee ID, punch-in time, substation name and other information to the server. After receiving the punch-in information, the server parses it and stores it in the corresponding database table.

[0058] This step implements the automatic clock-in function, avoiding the forgetfulness or cheating that may occur in manual clock-in. At the same time, the clock-in information recorded by the server can be used as effective evidence of the staff's attendance, facilitating subsequent attendance statistics and responsibility tracing, and helping to improve the standardization and rigor of on-site safety management.

[0059] S103, when receiving a start message of the traffic violation content voice recognition function, acquiring voice data through a microphone;

[0060] Based on S102, this step is intended to enable the mobile terminal to receive a startup message when the user starts the violation content voice recognition function on the mobile terminal (perhaps by clicking a corresponding button or using a voice command). At this time, the mobile terminal will call the microphone device, which converts the sound in the surrounding environment into an electrical signal, and obtains digital voice data after being processed by the analog-to-digital conversion circuit.

[0061] A button is set on the application interface of the mobile terminal to start the voice recognition function of traffic violation content. When the user clicks the button, a startup message will be sent to the corresponding module in the application. At the same time, at the hardware level of the mobile terminal, ensure that the microphone device works properly and is correctly connected and configured with the application. At the software level, the developer needs to write code to control the microphone startup and data collection process, and store the collected voice data in the memory buffer for subsequent processing.

[0062] This step provides a convenient way to input violation content. Workers can directly describe the violation by voice on site without manual text input, which improves the convenience and efficiency of operation. This voice input method is especially advantageous when the on-site environment is complex or it is inconvenient for workers to operate manually.

[0063] S104, recognizing the voice data to obtain the violation content data;

[0064] Based on S103, the mobile terminal in this step has a built-in speech recognition engine (such as a speech recognition algorithm based on deep learning), which will perform feature extraction and pattern matching on the acquired speech data. It will compare the sound features in the speech data with the standard pronunciation features in the pre-trained speech model, so as to recognize the text content in the speech, that is, the violation content data.

[0065] First, you need to install and configure the speech recognition engine on the mobile terminal. During the development process, you can use the existing speech recognition technology framework (such as Baidu speech recognition SDK, iFlytek speech recognition SDK, etc.) and customize the development according to the specific application scenarios and needs. Input the collected speech data into the speech recognition engine, the engine will process it according to the internal algorithms and models, and finally output the recognized violation content data (such as "not wearing a helmet", etc.).

[0066] This step realizes the automatic conversion of voice data into text content, improving the accuracy and efficiency of violation content recording. It avoids possible errors and omissions caused by manual input, and also saves the time and energy of staff, allowing them to focus more on on-site safety management.

[0067] S105, associating the corresponding violation clause data and violation qualitative data based on the violation content data;

[0068] Based on S104, this step aims to store in advance a violation clause database and a violation qualitative rule base in the system. After obtaining the violation content data, the system will search for clauses related to the violation content in the violation clause database through a data matching algorithm, and determine the nature of the violation (such as general violation, serious violation, etc.) according to the violation qualitative rule base.

[0069] In the system design phase, a violation clause database and a violation qualitative rule base are established to store various violation behaviors and their corresponding clauses and qualitative rules in detail. During operation, after obtaining the violation content data (such as "not wearing a safety helmet"), the relevant clauses (such as "wearing a safety helmet when entering the construction site") are searched in the violation clause database through a string matching algorithm or a semantic analysis algorithm, and the nature of the violation (such as general violation) is determined according to the violation qualitative rule base.

[0070] This step can quickly and accurately determine the terms and nature of the violations, providing a basis for subsequent processing and management. It makes on-site safety management more standardized and rigorous, and is conducive to taking appropriate measures to correct violations in a timely manner and avoid safety accidents.

[0071] S106, sending the violation clause data and the violation qualitative data to the server so that the server can record the violation clause data and the violation qualitative data to form responsibility performance data.

[0072] Based on S105, in this step, the mobile terminal sends the violation clause data and violation qualitative data to the server through the network communication module. After receiving these data, the server will store them in the database, together with other responsibility data such as previous punch-in information, to form a complete responsibility data record.

[0073] The mobile terminal uses network communication protocols (such as HTTP, TCP / IP, etc.) to package the violation clause data and violation qualitative data and send them to the server. After receiving the data, the server parses and stores it in the corresponding database table, associates it with other related data (such as employee ID, clock-in time, substation name, etc.) to form a complete performance data record.

[0074] The violation-related data is fully recorded on the server for subsequent query, statistics and analysis. It can provide comprehensive data support for safety management, help managers better understand the violation situation on site and the performance of staff, and thus formulate more reasonable safety management strategies.

[0075] In summary, this embodiment uses a mobile terminal to obtain positioning signals according to a preset period and automatically punches in when it reaches the substation map range, thereby achieving accurate supervision and automatic recording of the staff's attendance, avoiding forgetfulness and cheating in manual punching, and improving the accuracy and standardization of attendance management. Secondly, the voice recognition function of violation content facilitates staff to directly describe the violation by voice on site, improves the convenience and efficiency of operation, and is especially suitable for complex site environments. Furthermore, the recognition of voice data and the association with violation clauses and qualitative data can quickly and accurately determine the violation and its nature, provide a basis for subsequent processing, and make safety management more standardized and rigorous. It improves the efficiency of construction site supervision and reduces the labor cost of on-site supervision.

[0076] Optionally, also include:

[0077] Step 1, obtaining working environment photo data through a camera;

[0078] Step 2, using a violation behavior recognition model to identify violation behaviors on the work environment photo data to obtain violation information photo data;

[0079] Step 3: Locate the staff information based on the violation information photo data and match the corresponding violation information;

[0080] Step 4: Display staff information and violation information based on the preset path.

[0081] In this optional solution, the camera of the mobile terminal can capture image information of the working environment and obtain photo data of the working environment. The violation behavior recognition model is constructed based on machine learning or deep learning algorithms. It can identify the characteristics of violation behaviors in photos by learning a large amount of labeled violation and non-violation image data, thereby analyzing the input working environment photo data and outputting violation information photo data. According to the relevant information in the photo (such as location, timestamp, etc.) and the correspondence between the staff and the work area stored in the system, the staff information can be located, and the corresponding violation information can be matched according to the violation behavior recognition results. Finally, the staff information and violation information are displayed through a preset display path (such as in a specific interface area of ​​the mobile terminal).

[0082] Integrate the camera call function in the mobile terminal application to ensure that the working environment photo data can be obtained normally. Develop or use the existing violation behavior recognition model, embed it into the system, and train and optimize it to adapt it to specific application scenarios. Establish a mapping relationship database between staff and work areas to locate staff based on photo information. In the interface design of the mobile terminal, plan the area and method for displaying staff information and violation information, and display them according to the preset path.

[0083] Using cameras to obtain photo data and identify violations can more intuitively detect violations on site, improving the ability to detect violations. Locating staff information and matching violation information helps to clarify the responsible party and facilitate subsequent management and processing. Displaying relevant information on the terminal allows staff to understand the on-site situation in a timely manner, improving the efficiency and transparency of on-site management.

[0084] Optionally, also include:

[0085] The server stores the received performance data and uploads it to the cloud.

[0086] In this optional solution, the server has the function of data storage and management. After receiving the performance data (such as clock-in information, violation clause data, violation qualitative data, etc.) from the mobile terminal, it will store this data in the local database according to certain rules and formats. At the same time, in order to ensure the security and accessibility of the data, the server will upload the data to the cloud storage system through the network connection. Cloud storage uses distributed storage technology and data redundancy mechanism to ensure that data will not be lost due to server failure or damage to local storage devices.

[0087] Configure a suitable database management system (such as MySQL, Oracle, etc.) on the server side and establish the corresponding accountability data storage table structure to store the various accountability data received. Write a data upload program and use network communication protocols (such as HTTP, FTP, etc.) to upload the locally stored accountability data to the cloud storage service provider's platform. In the cloud, perform relevant configurations according to the service provider's requirements, such as setting data access permissions, storage space size, etc.

[0088] Storing accountability data on the server ensures centralized management and long-term preservation of data, facilitating subsequent query and statistical analysis. Uploading to the cloud further improves data security and reliability. Even if the server fails, data can still be recovered from the cloud, ensuring the integrity and availability of accountability data and providing stable data support for safety management.

[0089] Optionally, also include:

[0090] The server records and organizes the responsibility performance data, obtains the responsibility performance process and results, and uses them as responsibility chain data. The responsibility chain data includes the data of the discoverer, the processor, the final acceptance person, and the violation event data.

[0091] In this optional solution, the server analyzes and processes the stored accountability data. It associates and integrates accountability data at different stages based on the data's timestamp, source, and related business logic. For example, when a violation occurs, the information of the person who discovered the violation (discoverer data) is first recorded, and then as the event is handled, the information of the person responsible for handling the violation (handler data) and the person who ultimately accepts the handling results (final acceptor data) are recorded. At the same time, the details of the violation itself are recorded (violation event data), thereby forming a complete chain of responsibility data that reflects the entire accountability process and results.

[0092] Write a data processing program on the server side to analyze and match key information such as timestamps and employee IDs in the responsibility data, and organize the relevant data according to the logic of the responsibility chain. For example, according to the order of the time of occurrence and handling of the violation, determine the discoverer, handler, and final inspector, and package their information together with the violation data into responsibility chain data. Store these responsibility chain data in a special database table for subsequent query and use.

[0093] The complete responsibility chain data formed in this optional solution helps to clarify the responsible parties in each link, and facilitates the responsibility tracing when problems arise. Whether it is the handling of illegal behaviors or the supervision and evaluation of the entire safety management work, it provides a clear basis and improves the standardization and rigor of safety management.

[0094] Optionally, also include:

[0095] Step 1, the server monitors the status of the implementation of the violation event data in real time;

[0096] Step 2: When unfinished traffic violation event data is monitored, a corresponding reminder message is sent.

[0097] In this optional solution, the server regularly checks and analyzes the violation data in the responsibility chain data to determine its implementation status. It will compare the current actual situation with the expected processing results based on the preset processing flow and time nodes. If it is found that a violation event is not processed according to the prescribed process and time, it is determined to be unfinished violation event data. At this time, the server will send corresponding reminder information to the relevant responsible person according to the pre-set reminder mechanism (such as sending SMS, push notification, etc.).

[0098] Set up a monitoring program on the server side to regularly check the violation data. Set corresponding time nodes and processing standards according to different types of violation events and processing procedures. When an unfinished violation event is detected, send a reminder message to the relevant responsible person by calling the SMS gateway or mobile application push service. The reminder message should include the details of the violation event and the processing requirements.

[0099] Real-time monitoring of the implementation of violation data and timely sending of reminder information can ensure that violations are dealt with in a timely manner to avoid delays and accumulation of problems. It improves the efficiency and effectiveness of safety management work, ensures the effective implementation of safety management measures, and helps maintain safety and order at the construction site.

[0100] An auxiliary control device for paperless performance of responsibilities provided in an embodiment of the present application is introduced below. The auxiliary control device for paperless performance of responsibilities and an auxiliary control method for paperless performance of responsibilities described below can be referenced to each other.

[0101] Please refer to Figure 2 , Figure 2 A schematic diagram of the structure of an auxiliary management and control device for paperless performance of responsibilities provided in an embodiment of the present application.

[0102] In this embodiment, the device may include:

[0103] The positioning module 100 is used to obtain positioning signals according to a preset period;

[0104] The automatic clock-in module 200 is used to send clock-in information to the server when the positioning signal reaches the substation map range, so that the server can record the clock-in information;

[0105] The voice data acquisition module 300 is used to acquire voice data through a microphone when receiving a start message of the traffic violation content voice recognition function;

[0106] The voice data recognition module 400 is used to recognize the voice data and obtain the violation content data;

[0107] A violation matching module 500, for associating corresponding violation clause data and violation qualitative data based on the violation content data;

[0108] The data sending module 600 is used to send the violation clause data and the violation qualitative data to the server so that the server can record the violation clause data and the violation qualitative data to form the responsibility performance data.

[0109] Optionally, also include:

[0110] The violation identification module is used to obtain the working environment photo data through the camera; identify the violation behavior on the working environment photo data through the violation behavior identification model to obtain the violation information photo data; locate the staff information based on the violation information photo data and match the corresponding violation information; display the staff information and violation information based on the preset path.

[0111] Optionally, the server is used to record and organize the responsibility performance data, obtain the responsibility performance process and results, and use them as responsibility chain data, where the responsibility chain data includes the data of the discoverer, the processor, the final acceptance person, and the violation event data.

[0112] This application also provides auxiliary control equipment, please refer to Figure 3 , Figure 3 This is a schematic diagram of the structure of the auxiliary control device provided in the embodiment of the present application. The auxiliary control device may include:

[0113] Memory for storing computer programs;

[0114] A processor, which, when used to execute a computer program, can implement the steps of any of the above-mentioned auxiliary management and control methods for paperless performance of responsibilities.

[0115] like Figure 3 , which is a schematic diagram of the structure of the auxiliary control device, the auxiliary control device may include: a processor 10, a memory 11, a communication interface 12 and a communication bus 13. The processor 10, the memory 11, and the communication interface 12 communicate with each other through the communication bus 13.

[0116] In the embodiment of the present application, the processor 10 may be a central processing unit (CPU), an application specific integrated circuit, a digital signal processor, a field programmable gate array or other programmable logic devices.

[0117] The processor 10 may call a program stored in the memory 11. Specifically, the processor 10 may execute operations in an embodiment of the abnormal IP identification method.

[0118] The memory 11 is used to store one or more programs, which may include program codes, and the program codes include computer operation instructions. In the embodiment of the present application, the memory 11 at least stores programs for implementing the following functions:

[0119] The mobile terminal obtains the positioning signal according to a preset period;

[0120] When the positioning signal reaches the substation map range, the punch-in information is sent to the server so that the server can record the punch-in information;

[0121] When receiving a message to start the voice recognition function of the traffic violation content, voice data is acquired through a microphone;

[0122] Recognize the voice data to obtain the violation content data;

[0123] Corresponding violation clause data and violation qualitative data are associated with the violation content data;

[0124] Send the violation clause data and violation qualitative data to the server so that the server can record the violation clause data and violation qualitative data to form responsibility performance data.

[0125] In a possible implementation, the memory 11 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function, etc.; the data storage area may store data created during use.

[0126] In addition, the memory 11 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device or other volatile solid-state storage device.

[0127] The communication interface 12 may be an interface of a communication module, and is used to connect to other devices or systems.

[0128] Of course, it should be noted that Figure 3 The structure shown does not constitute a limitation on the auxiliary control device in the embodiment of the present application. In actual applications, the auxiliary control device may include Figure 3 More or fewer components than shown, or combinations of certain components.

[0129] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of any of the above-mentioned paperless performance of responsibilities auxiliary management and control methods can be implemented.

[0130] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0131] For an introduction to the computer-readable storage medium provided in this application, please refer to the above method embodiment, and this application will not go into details here.

[0132] The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0133] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may 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.

[0134] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0135] The above is a detailed introduction to the paperless performance auxiliary management and control method, auxiliary management and control device, auxiliary management and control equipment, and computer-readable storage medium provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

Claims

1. A paperless responsibility-fulfilling auxiliary management and control method, characterized in that: include: The mobile terminal obtains the positioning signal according to a preset period; When the positioning signal reaches the substation map range, the punch-in information is sent to the server so that the server records the punch-in information; When receiving a message to start the voice recognition function of the traffic violation content, voice data is acquired through a microphone; Recognizing the voice data to obtain violation content data; Corresponding violation clause data and violation qualitative data are associated with the violation content data; The violation clause data and the violation qualitative data are sent to the server so that the server can record the violation clause data and the violation qualitative data to form responsibility performance data.

2. The auxiliary control method according to claim 1, characterized in that: Also includes: Acquire working environment photo data through camera; Performing illegal behavior recognition on the work environment photo data through an illegal behavior recognition model to obtain illegal behavior information photo data; Locating staff information based on the violation information photo data and matching corresponding violation information; The staff information and the violation information are displayed based on a preset path.

3. The auxiliary control method according to claim 2, characterized in that: Also includes: The server stores the received performance data and uploads it to the cloud.

4. The auxiliary control method according to claim 3, characterized in that: Also includes: The server records and organizes the responsibility performance data, obtains the responsibility performance process and results, and uses them as responsibility chain data, wherein the responsibility chain data includes discoverer data, processor data, final acceptance data, and violation event data.

5. The auxiliary control method according to claim 4, characterized in that: Also includes: The server monitors the status of the implementation of the violation event data in real time; When unfinished violation event data is monitored, the corresponding reminder information is sent.

6. A paperless responsibility-fulfilling auxiliary control device, characterized in that: include: A positioning module, used to obtain positioning signals according to a preset period; An automatic clock-in module, used for sending clock-in information to a server when the positioning signal reaches the substation map range, so that the server records the clock-in information; A voice data acquisition module, used to acquire voice data through a microphone when receiving a start message of the violation content voice recognition function; A voice data recognition module, used to recognize the voice data and obtain violation content data; A violation matching module, used for associating corresponding violation clause data and violation qualitative data based on the violation content data; The data sending module is used to send the violation clause data and the violation qualitative data to the server so that the server can record the violation clause data and the violation qualitative data to form responsibility performance data.

7. The auxiliary control device according to claim 6, characterized in that: Also includes: A violation identification module is used to obtain working environment photo data through a camera; identify violation behaviors on the working environment photo data through a violation behavior identification model to obtain violation information photo data; locate staff information based on the violation information photo data, and match corresponding violation information; The staff information and the violation information are displayed based on a preset path.

8. The auxiliary control device according to claim 7, characterized in that: The server is used to record and organize the responsibility performance data, obtain the responsibility performance process and responsibility performance results, and use them as responsibility chain data, wherein the responsibility chain data includes discoverer data, processor data, final acceptance data, and violation event data.

9. An auxiliary control device, characterized in that: include: Memory for storing computer programs; A processor, used to implement the steps of the auxiliary management and control method as described in any one of claims 1 to 5 when executing the computer program.

10. 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 a processor, the steps of the auxiliary management and control method according to any one of claims 1 to 5 are implemented.

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