An operation and maintenance behavior analysis method and system based on WIFI signal interaction

Abstract

The present invention discloses an operation and maintenance behavior analysis method and system based on WIFI signal interaction, which relates to the technical field of environmental protection equipment operation and maintenance. Specifically, it discloses constructing a reference diagram of the station, and based on the authentication of the identity information of the WIFI access terminal, determining whether to perform operation and maintenance behavior analysis on the WIFI access terminal. Based on the relative position characteristics of different equipment nodes and the actual operation and maintenance trajectory on the station reference diagram, determining the characteristics of the actual operation and maintenance process, comparing the characteristics of the actual operation and maintenance process with the standard operation and maintenance process characteristics, determining the first operation and maintenance behavior evaluation, based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, determining the third operation and maintenance behavior evaluation, and based on the third operation and maintenance behavior evaluations of several consecutive times, determining the comprehensive operation and maintenance behavior evaluation. Through the above technical solutions, the present invention realizes the analysis of the operation and maintenance behaviors of the internal personnel of the enterprise, and based on the analysis results, determines the operation and maintenance behavior evaluation, realizing the quantitative analysis of the enterprise operation and maintenance behaviors.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental protection equipment operation and maintenance, and in particular to an operation and maintenance behavior analysis method and system based on WIFI signal interaction. Background Art

[0002] At present, the environmental protection department has installed data collection equipment in a large number of enterprise stations to collect the concentration values ​​and cumulative emissions of exhaust gas emissions such as sulfur dioxide, nitrogen oxides, and particulate matter, or the concentration values ​​and cumulative emissions of wastewater emissions such as ammonia nitrogen, total phosphorus, and total nitrogen. The data of these devices are sent to the platform of the Environmental Protection Bureau at a regular interval to monitor the emission of wastewater and exhaust gas of enterprises online at any time. The on-site equipment for collecting these emissions needs to be calibrated regularly to ensure the accuracy of the data; enterprises need to arrange personnel to regularly operate and maintain data collection equipment to prevent inaccurate data from being collected.

[0003] However, some companies currently do not pay attention to the application of environmental protection equipment, and the operation and maintenance of the above-mentioned environmental protection data collection equipment are not carried out according to the predetermined standards, which leads to inaccurate monitoring of the company's pollution discharge. Therefore, in order to solve the above problems, there is an urgent need for a method and system that can analyze the operation and maintenance behavior of the company. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system capable of analyzing enterprise operation and maintenance behavior.

[0005] The present invention discloses an operation and maintenance behavior analysis method based on WIFI signal interaction, comprising:

[0006] Design the structural information of the equipment station, build a station reference map, and build the equipment nodes on the station reference map based on the location of different equipment;

[0007] Obtain the layout location of WIFI devices and construct WIFI device nodes on the site reference map;

[0008] Obtain the identity information of the WIFI access terminal, and determine whether to perform operation and maintenance behavior analysis on the WIFI access terminal based on the authentication of the identity information of the WIFI access terminal;

[0009] When analyzing the operation and maintenance behavior of the WIFI access terminal, the dynamic signal strength when different WIFI devices collect the WIFI access terminal signal is obtained, and the dynamic position of the WIFI access terminal is determined based on the proportional relationship between the dynamic signal strengths;

[0010] Based on the dynamic positions of WIFI access terminals at different time nodes, construct the actual operation and maintenance trajectory, and based on the relative position characteristics between different device nodes on the station reference map and the actual operation and maintenance trajectory, determine the actual operation and maintenance process characteristics;

[0011] Obtain the operation and maintenance target information, and based on the operation and maintenance target information, determine the standard operation and maintenance process characteristics. Compare the actual operation and maintenance process characteristics with the standard operation and maintenance process characteristics, and based on the comparison result, determine the first operation and maintenance behavior evaluation;

[0012] Obtain the next operation and maintenance log information, and based on the next operation and maintenance log information and the device status calculation result, determine the second operation and maintenance behavior evaluation;

[0013] Based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, determine the third operation and maintenance behavior evaluation. Based on several consecutive third operation and maintenance behavior evaluations, determine the comprehensive operation and maintenance behavior evaluation.

[0014] In some embodiments disclosed in the present invention, for the design structure information of the device station, the method of constructing a station reference map and constructing device nodes on the station reference map based on the belonging positions of different devices includes:

[0015] Based on the design structure information of the device station, construct a station floor plan, and construct a reference coordinate system for the station floor plan;

[0016] Based on the reference coordinate system, set a number of position reference points in the station floor plan, and based on the belonging positions and floor areas of different devices, delimit a number of position reference points as device nodes.

[0017] In some embodiments disclosed in the present invention, the method of determining the dynamic position of the WIFI access terminal based on the proportional relationship between dynamic signal strengths includes:

[0018] Based on the proportional relationship between dynamic signal strengths, determine the propulsion speed ratio of the signal scanning circle line;

[0019] Taking the WIFI device node on the station map as the center, set the propulsion speed units of different signal scanning circle lines respectively with the determined propulsion speed ratio to simulate the dynamic changes of different signal scanning circle lines;

[0020] According to the intersection positions of the signal scanning circle lines at different time nodes, determine the dynamic position of the WIFI access terminal.

[0021] In some embodiments disclosed in the present invention, the method of determining the actual operation and maintenance process characteristics based on the relative position characteristics between different device nodes on the station reference map and the actual operation and maintenance trajectory includes:

[0022] Based on the dynamic positions of WIFI access terminals at different time nodes, map them to the corresponding position reference points on the station map, and mark the mapping time nodes for the mapped position reference points;

[0023] Based on the chronological order of the mapping time nodes, connect the mapped position reference points to obtain the actual operation and maintenance trajectory;

[0024] Analyze the position reference points mapped by the actual operation and maintenance trajectory, and screen out several mapped position reference points whose sequential intervals between each other are less than the preset order number and whose total residence time is greater than the preset residence time, and record them as the position reference points of concern;

[0025] Analyze the clustering characteristics of the position reference points of concern, and based on the analysis results, construct an operation and maintenance residence block for the position reference points of concern;

[0026] Analyze the position correlation between the operation and maintenance residence block and several adjacent equipment nodes, and based on the analysis results, determine the operation and maintenance time length for different equipment nodes.

[0027] In some embodiments disclosed in the present invention, the method for analyzing the clustering characteristics of the position reference points of concern includes:

[0028] Calculate the straight-line distance between the farthest position reference points of concern and determine it as the first block radius;

[0029] According to the number of position reference points of concern, correct the first block radius to obtain the second block radius;

[0030] Based on the second block radius, construct a dynamic operation and maintenance block, and dynamically change the position of the dynamic operation and maintenance block according to the preset position change unit;

[0031] Calculate the boundary distance between the boundary of the dynamic operation and maintenance block after each dynamic position change and the boundary of the position reference points of concern, and screen out the shortest boundary distance;

[0032] Compare the shortest boundary distances of the dynamic operation and maintenance blocks after different dynamic position changes, and determine the dynamic operation and maintenance block with the longest shortest boundary distance as the operation and maintenance residence block;

[0033] Among them, the expression for calculating the second block radius is:

[0034] ;

[0035] Among them, is the second block radius, is the radius adjustment coefficient, u is the number of position reference points of concern, b is the reference point number adjustment constant, is the first block radius.

[0036] In some embodiments disclosed by the present invention, the method for analyzing the location correlation degree between an operation and maintenance retention block and several adjacent device nodes includes:

[0037] Calculate the nearest straight-line distances between the operation and maintenance retention block and several adjacent device nodes respectively, and determine them as the contact reference distances between the operation and maintenance retention block and the device nodes;

[0038] For each adjacent device node, screen the location reference points in the operation and maintenance retention block based on a preset truncation distance to obtain the relevant location reference points corresponding to the device node;

[0039] Determine the location correlation degree between the operation and maintenance retention block and the device node based on the number and retention time of the relevant location reference points corresponding to the device node;

[0040] In some embodiments disclosed by the present invention, the expression for calculating the location correlation degree between the operation and maintenance retention block and the device node is:

[0041] ;

[0042] Wherein, is the location correlation degree between the operation and maintenance retention block and the device node, is the correlation degree adjustment coefficient, is the quantity weight coefficient, x is the number of relevant location reference points, is the time weight coefficient, is the retention time of the nth relevant location reference point, and c is the correlation degree adjustment constant.

[0043] In some embodiments disclosed by the present invention, the method for comparing the actual operation and maintenance process characteristics and the standard operation and maintenance process characteristics includes:

[0044] Analyze the actual operation and maintenance process characteristics and the standard operation and maintenance process characteristics to determine the actual operation and maintenance order of different device nodes, the standard operation and maintenance order of device nodes, as well as the actual operation and maintenance time of different device nodes and the standard operation and maintenance time of device nodes;

[0045] Based on the importance degree of each device node, configure a specific importance weight coefficient for each device node;

[0046] Combine the importance weight coefficient with the actual operation and maintenance order of the device node and the standard operation and maintenance order of the device node to construct an order behavior evaluation operator for a single device node;

[0047] Combine the importance weight coefficient with the actual operation and maintenance time of the device node and the standard operation and maintenance time of the device node to construct a time behavior evaluation operator for the single device node;

[0048] Conduct a comprehensive analysis of the order behavior evaluation operator and time behavior operator of the device node to obtain the first operation and maintenance behavior evaluation;

[0049] Among them, the expression for calculating the first operation and maintenance behavior evaluation is:

[0050] ;

[0051] Among them, is the first operation and maintenance behavior evaluation, is the first evaluation adjustment coefficient, is the second evaluation adjustment coefficient, is the importance weight coefficient of the nth device node, is the operation and maintenance order compliance parameter of the nth device node. If the actual operation and maintenance order of the device node is consistent with the standard operation and maintenance order of the device node, then is 1. If the actual operation and maintenance order of the device node is not consistent with the standard operation and maintenance order of the device node, then is 0, is the actual operation and maintenance time of the device node corresponding to the nth device node, is the standard operation and maintenance time of the device node corresponding to the nth device node, and d is the time adjustment constant.

[0052] In some embodiments disclosed in the present invention, the method for determining the comprehensive operation and maintenance behavior evaluation includes:

[0053] Based on the current operation and maintenance log information, determine the current device state parameters;

[0054] Obtain the device application log and calculate the conventional device state change amount;

[0055] Analyze the next operation and maintenance log information to determine the next device state parameters;

[0056] Calculate the state difference amount between the next device state parameters and the current device state parameters, and determine the second operation and maintenance behavior evaluation based on the comparison difference amount between the state difference amount and the conventional device state change amount;

[0057] Configure the first operation and maintenance behavior evaluation weight for the first operation and maintenance behavior evaluation, and configure the second operation and maintenance behavior evaluation weight for the second operation and maintenance behavior evaluation;

[0058] Based on the first operation and maintenance behavior evaluation weight, the first operation and maintenance behavior evaluation, the second operation and maintenance behavior evaluation, and the second operation and maintenance behavior evaluation weight, obtain the third operation and maintenance behavior evaluation;

[0059] Among them, the expression for calculating the third operation and maintenance behavior evaluation is:

[0060] ;

[0061] Among them, is the third operation and maintenance behavior evaluation, is the weight of the first operation and maintenance behavior evaluation, is the weight of the second operation and maintenance behavior evaluation, is the first operation and maintenance behavior evaluation, is the comparison difference between the state difference quantity and the conventional device state change quantity, and m is the state difference quantity adjustment constant.

[0062] In some embodiments disclosed by the present invention, an operation and maintenance behavior analysis system based on WIFI signal interaction is also disclosed, which is characterized by including:

[0063] The first module is used to design the structural information for the device yard, construct a yard reference diagram, and based on the location of different devices, construct device nodes on the yard reference diagram, obtain the layout positions of WIFI devices, and construct WIFI device nodes on the yard reference diagram;

[0064] The second module is used to obtain the identity information of the WIFI access terminal, and based on the authentication of the identity information of the WIFI access terminal, determine whether to perform operation and maintenance behavior analysis on the WIFI access terminal. When performing operation and maintenance behavior analysis on the WIFI access terminal, obtain the dynamic signal strength when different WIFI devices collect the signals of the WIFI access terminal, and based on the proportional relationship between the dynamic signal strengths, determine the dynamic position of the WIFI access terminal. Based on the dynamic positions of the WIFI access terminal at different time nodes, construct the actual operation and maintenance trajectory, and based on the relative position characteristics of different device nodes on the yard reference diagram and the actual operation and maintenance trajectory, determine the actual operation and maintenance process characteristics;

[0065] The third module is used to obtain the operation and maintenance target information, and based on the operation and maintenance target information, determine the standard operation and maintenance process characteristics, compare the actual operation and maintenance process characteristics with the standard operation and maintenance process characteristics, and based on the comparison result, determine the first operation and maintenance behavior evaluation, obtain the next operation and maintenance log information, and based on the next operation and maintenance log information and the device state calculation result, determine the second operation and maintenance behavior evaluation. Based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, determine the third operation and maintenance behavior evaluation. Based on the third operation and maintenance behavior evaluations of several consecutive times, determine the comprehensive operation and maintenance behavior evaluation.

[0066] The present invention discloses an operation and maintenance behavior analysis method and system based on WIFI signal interaction, which relates to the technical field of environmental protection equipment operation and maintenance. Specifically, it discloses constructing a station reference diagram, and based on the authentication of the identity information of WIFI access terminals, determining whether to conduct operation and maintenance behavior analysis on the WIFI access terminals. Based on the relative position characteristics of different device nodes and the actual operation and maintenance trajectories on the station reference diagram, determining the characteristics of the actual operation and maintenance process, comparing the characteristics of the actual operation and maintenance process with the standard operation and maintenance process characteristics, determining the first operation and maintenance behavior evaluation, based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, determining the third operation and maintenance behavior evaluation, and based on the third operation and maintenance behavior evaluations of several consecutive times, determining the comprehensive operation and maintenance behavior evaluation. Through the above technical solutions, the present invention realizes the analysis of the operation and maintenance behaviors of enterprise internal personnel, and based on the analysis results, determines the operation and maintenance behavior evaluation, realizing the quantitative analysis of enterprise operation and maintenance behaviors.

[0067] The following will further describe the technical solutions of the present invention in detail through the accompanying drawings and embodiments. Brief Description of the Drawings

[0068] Figure 1 It is a method step diagram of an operation and maintenance behavior analysis method based on WIFI signal interaction disclosed by the present invention. Detailed Embodiments

[0069] The following further illustrates the technical solutions of the present invention through the accompanying drawings and embodiments.

[0070] The following will clearly and completely describe the technical solutions of the present invention in combination with the accompanying drawings and specific embodiments. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and cannot be construed as limiting the protection scope of the present invention. Those skilled in the art can make some non-essential improvements and adjustments according to the content of the present invention described below. In the present invention, unless otherwise clearly defined and limited, the technical terms used in the present invention should have the ordinary meaning understood by those skilled in the art of the present invention.

[0071] The present invention discloses an operation and maintenance behavior analysis method based on WIFI signal interaction. Refer to Figure 1 , including:

[0072] Step S100: Design the structural information of the equipment station, construct a station reference diagram, and construct device nodes on the station reference diagram based on the locations of different devices.

[0073] In this step, constructing the station reference diagram helps to determine the structural layout of the equipment station and provides a basis for subsequent operation and maintenance behavior analysis.

[0074] Step S200: Obtain the layout positions of WIFI devices and construct WIFI device nodes on the station reference diagram.

[0075] In this step, WIFI device nodes are arranged on the station reference map to provide a reference benchmark for the change in the position of the operation and maintenance personnel.

[0076] Step S300: Obtain the identity information of the WIFI access terminal, and based on the authentication of the identity information of the WIFI access terminal, determine whether to perform operation and maintenance behavior analysis on the WIFI access terminal.

[0077] In this step, ensure that only authorized devices can perform operation and maintenance behavior analysis.

[0078] In this step, obtain the MAC address of the WIFI access terminal, compare the MAC address with the preset MAC address. If they match, the identity information is authenticated, and then operation and maintenance behavior analysis is performed on the WIFI access terminal.

[0079] Step S400: When performing operation and maintenance behavior analysis on the WIFI access terminal, obtain the dynamic signal strength when different WIFI devices collect the signal of the WIFI access terminal, and based on the proportional relationship between the dynamic signal strengths, determine the dynamic position of the WIFI access terminal.

[0080] In this step, obtain the dynamic signal strength of the WIFI access terminal, and based on the change in the signal strength, determine the dynamic position of the WIFI access terminal, providing data support for the construction of the subsequent actual operation and maintenance trajectory.

[0081] There is usually an inverse relationship between the signal strength and the distance, that is, as the distance increases, the signal strength decreases. This is because electromagnetic waves attenuate when propagating in space. In free space, this relationship can be described by the Free Space Path Loss (FSPL) model, which presents a relationship inversely proportional to the square root of the distance.

[0082] Step S500: Based on the dynamic positions of the WIFI access terminal at different time nodes, construct the actual operation and maintenance trajectory, and based on the relative position characteristics between different device nodes on the station reference map and the actual operation and maintenance trajectory, determine the actual operation and maintenance process characteristics.

[0083] In this step, construct the actual operation and maintenance trajectory according to the dynamic position of the WIFI access terminal, reflecting the actual movement path of the device in the station, which helps to understand the operation and maintenance activities of the device.

[0084] Step S600: Obtain the operation and maintenance target information, and based on the operation and maintenance target information, determine the standard operation and maintenance process characteristics, compare the actual operation and maintenance process characteristics with the standard operation and maintenance process characteristics, and based on the comparison result, determine the first operation and maintenance behavior evaluation.

[0085] In this step, by comparing the characteristics of the actual operation and maintenance process with those of the standard operation and maintenance process, the compliance of equipment operation and maintenance is evaluated, providing a first-level evaluation of operation and maintenance behavior.

[0086] Step S700: Obtain the next operation and maintenance log information, and determine the second operation and maintenance behavior evaluation based on the next operation and maintenance log information and the calculation result of the equipment status.

[0087] Step S800: Determine the third operation and maintenance behavior evaluation based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, and determine the comprehensive operation and maintenance behavior evaluation based on the third operation and maintenance behavior evaluations for several consecutive times.

[0088] The above technical solution constructs the operation and maintenance trajectory of equipment in the station by obtaining the location, identity information, signal strength, and operation and maintenance behavior data of the equipment and WIFI equipment, evaluates the operation and maintenance behavior of the equipment at multiple levels, realizes the quantitative evaluation of the operation and maintenance behavior of enterprise environmental protection equipment, and plays a monitoring role in the environmental protection production of the enterprise.

[0089] In some embodiments disclosed by the present invention, the method for constructing a station reference diagram for the design structure information of an equipment station and constructing equipment nodes on the station reference diagram based on the locations of different equipment includes:

[0090] The first step: Based on the design structure information of the equipment station, construct a station floor plan, and construct a reference coordinate system for the station floor plan.

[0091] The second step: Based on the reference coordinate system, set several position reference points within the station floor plan, and demarcate several position reference points as equipment nodes based on the locations and floor areas of different equipment.

[0092] In some embodiments disclosed by the present invention, the method for determining the dynamic position of a WIFI access terminal based on the proportional relationship between dynamic signal strengths includes:

[0093] The first step: Based on the proportional relationship between dynamic signal strengths, determine the advancing speed ratio of the signal scanning circle line.

[0094] By analyzing the proportional relationship between dynamic signal strengths to determine the advancing speed ratio of different signal scanning circle lines, which is the basis of the positioning process. The signal strength is usually inversely proportional to the distance, so this relationship can be used to estimate the relative position of the equipment.

[0095] The second step: Taking the WIFI equipment node on the station map as the center, set the advancing speed units of different signal scanning circle lines respectively according to the determined advancing speed ratio to simulate the dynamic changes of different signal scanning circle lines.

[0096] Taking the WIFI device node on the station map as the center, according to the propulsion speed ratio determined in the first step, set the propulsion speed unit of different signal scanning circular lines. Simulate the propulsion process of different signal scanning circular lines, so as to generate signal scanning circular lines with dynamic changes on the station map, and the intersection positions of these circular lines will reflect the dynamic positions of WIFI access terminals.

[0097] In the third step, according to the intersection positions of the signal scanning circular lines at different time nodes, determine the dynamic positions of the WIFI access terminals.

[0098] According to the intersection positions of the signal scanning circular lines at different time nodes, determine the dynamic positions of the WIFI access terminals. Through the analysis of the intersection positions, the relative positions of the devices in the station can be estimated, so as to achieve dynamic positioning.

[0099] In some embodiments disclosed by the present invention, the method for determining the characteristics of the actual operation and maintenance process based on the relative position characteristics of different device nodes on the station reference map and the actual operation and maintenance trajectory includes:

[0100] In the first step, based on the dynamic positions of the WIFI access terminals at different time nodes, map them to the corresponding position reference points on the station map, and mark the mapping time nodes for the mapped position reference points.

[0101] In the second step, based on the time sequence of the mapping time nodes, connect the mapped position reference points to obtain the actual operation and maintenance trajectory.

[0102] In the third step, analyze the position reference points mapped by the actual operation and maintenance trajectory, and screen out several mapped position reference points whose sequential interval order between each other is less than the preset order number and whose total residence time is greater than the preset residence time, and record them as the concerned position reference points.

[0103] In the fourth step, analyze the clustering characteristics of the concerned position reference points, and based on the analysis results, construct an operation and maintenance residence block for the concerned position reference points.

[0104] In the fifth step, perform a position relevance analysis on the operation and maintenance residence block and several adjacent device nodes, and based on the analysis results, determine the operation and maintenance time lengths for different device nodes.

[0105] In some embodiments disclosed by the present invention, the method for analyzing the clustering characteristics of the concerned position reference points includes:

[0106] In the first step, calculate the straight-line distance between the two farthest concerned position reference points and recognize it as the radius of the first block.

[0107] In the second step, correct the radius of the first block according to the number of the concerned position reference points to obtain the radius of the second block.

[0108] In the third step, based on the second block radius, a dynamic operation and maintenance block is constructed, and the position of the dynamic operation and maintenance block is dynamically changed according to a preset position change unit.

[0109] In the fourth step, calculate the boundary distance between the boundary of the dynamic operation and maintenance block after each dynamic position change and the boundary of the position reference point of concern, and filter out the shortest boundary distance.

[0110] In the fifth step, compare the shortest boundary distances of the dynamic operation and maintenance blocks after different dynamic position changes, and identify the dynamic operation and maintenance block with the longest shortest boundary distance as the operation and maintenance retention block.

[0111] Among them, the expression for calculating the second block radius is:

[0112] 。

[0113] Among them, is the second block radius, is the radius adjustment coefficient, u is the number of position reference points of concern, b is the reference point number adjustment constant, is the first block radius.

[0114] In some embodiments disclosed by the present invention, the method for analyzing the position relevance between the operation and maintenance retention block and several adjacent device nodes includes:

[0115] In the first step, calculate the nearest straight-line distance between the operation and maintenance retention block and several adjacent device nodes respectively, and identify it as the contact reference distance between the operation and maintenance retention block and the device node.

[0116] In the second step, for each adjacent device node, filter the position reference points in the operation and maintenance retention block based on a preset selection distance to obtain the relevant position reference points corresponding to the device node.

[0117] In the third step, determine the position relevance between the operation and maintenance retention block and the device node based on the number and retention time of the relevant position reference points corresponding to the device node.

[0118] In some embodiments disclosed by the present invention, the expression for calculating the position relevance between the operation and maintenance retention block and the device node is:

[0119] 。

[0120] Among them, is the position relevance between the operation and maintenance retention block and the device node, is the relevance adjustment coefficient, is the quantity weight coefficient, x is the number of relevant position reference points, is the time weight coefficient, is the residence time of the nth relevant position reference point, and c is the relevance adjustment constant.

[0121] In some embodiments disclosed by the present invention, the method for comparing the characteristics of the actual operation and maintenance process and the standard operation and maintenance process includes:

[0122] In the first step, analyze the characteristics of the actual operation and maintenance process and the standard operation and maintenance process to determine the actual operation and maintenance order of the actual device nodes, the standard operation and maintenance order of the standard device nodes, as well as the actual operation and maintenance time of the actual device nodes and the standard operation and maintenance time of the standard device nodes for different device nodes.

[0123] In the second step, configure a specific importance weight coefficient for each device node based on the importance level of each device node.

[0124] In the third step, combine the importance weight coefficient with the actual operation and maintenance order of the actual device nodes and the standard operation and maintenance order of the standard device nodes to construct an order behavior evaluation operator for a single device node.

[0125] In the fourth step, combine the importance weight coefficient with the actual operation and maintenance time of the actual device nodes and the standard operation and maintenance time of the standard device nodes to construct a time behavior evaluation operator for the targeted single device node.

[0126] In the fifth step, comprehensively analyze the order behavior evaluation operator and the time behavior operator of the device node to obtain the first operation and maintenance behavior evaluation.

[0127] The above steps describe an operation and maintenance behavior evaluation method based on device nodes. By analyzing the characteristics of the actual operation and maintenance process and the standard operation and maintenance process, combining the operation and maintenance order and operation and maintenance time of the device nodes, an evaluation operator is constructed, and finally the first operation and maintenance behavior evaluation is obtained.

[0128] Among them, the expression for calculating the first operation and maintenance behavior evaluation is:

[0129] .

[0130] Among them, is the first operation and maintenance behavior evaluation, is the first evaluation adjustment coefficient, is the second evaluation adjustment coefficient, is the importance weight coefficient of the nth device node, is the operation and maintenance order compliance parameter of the nth device node. If the actual operation and maintenance order of the actual device node is consistent with the standard operation and maintenance order of the standard device node, then is 1. If the actual operation and maintenance order of the actual device node is inconsistent with the standard operation and maintenance order of the standard device node, then is 0. is the actual operation and maintenance time corresponding to the nth device node, is the operation and maintenance time of the standard device node corresponding to the nth device node, and d is the time adjustment constant.

[0131] In some embodiments disclosed by the present invention, the method for determining the comprehensive operation and maintenance behavior evaluation includes:

[0132] First step, based on the current operation and maintenance log information, determine the current device state parameters.

[0133] Second step, obtain the device application log and calculate the conventional device state change amount.

[0134] Third step, analyze the operation and maintenance log information for the next time and determine the device state parameters for the next time.

[0135] Fourth step, calculate the state difference amount between the device state parameters for the next time and the current device state parameters, and based on the comparison difference amount between the state difference amount and the conventional device state change amount, determine the second operation and maintenance behavior evaluation.

[0136] Fifth step, configure the first operation and maintenance behavior evaluation weight for the first operation and maintenance behavior evaluation, and configure the second operation and maintenance behavior evaluation weight for the second operation and maintenance behavior evaluation.

[0137] Sixth step, based on the first operation and maintenance behavior evaluation weight, the first operation and maintenance behavior evaluation, the second operation and maintenance behavior evaluation, and the second operation and maintenance behavior evaluation weight, obtain the third operation and maintenance behavior evaluation.

[0138] Among them, the expression for calculating the third operation and maintenance behavior evaluation is:

[0139] .

[0140] Among them, is the third operation and maintenance behavior evaluation, is the first operation and maintenance behavior evaluation weight, is the second operation and maintenance behavior evaluation weight, is the first operation and maintenance behavior evaluation, is the comparison difference amount between the state difference amount and the conventional device state change amount, and m is the state difference amount adjustment constant.

[0141] In some embodiments disclosed by the present invention, there is also disclosed an operation and maintenance behavior analysis system based on WIFI signal interaction, including:

[0142] The first module is used to design the structure information for the device yard, construct the yard reference diagram, and based on the locations of different devices, construct device nodes on the yard reference diagram, obtain the layout locations of WIFI devices, and construct WIFI device nodes on the yard reference diagram;

[0143] The second module is used to obtain the identity information of the WIFI access terminal, and based on the authentication of the identity information of the WIFI access terminal, determine whether to perform operation and maintenance behavior analysis on the WIFI access terminal. When performing operation and maintenance behavior analysis on the WIFI access terminal, obtain the dynamic signal strength when different WIFI devices collect the signal of the WIFI access terminal, and based on the proportional relationship between the dynamic signal strengths, determine the dynamic position of the WIFI access terminal. Based on the dynamic positions of the WIFI access terminal at different time nodes, construct the actual operation and maintenance trajectory, and based on the relative position characteristics of different device nodes on the station reference map and the actual operation and maintenance trajectory, determine the actual operation and maintenance process characteristics;

[0144] The third module is used to obtain the operation and maintenance target information, and based on the operation and maintenance target information, determine the standard operation and maintenance process characteristics. Compare the actual operation and maintenance process characteristics with the standard operation and maintenance process characteristics, and based on the comparison result, determine the first operation and maintenance behavior evaluation. Obtain the next operation and maintenance log information, and based on the next operation and maintenance log information and the device status calculation result, determine the second operation and maintenance behavior evaluation. Based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, determine the third operation and maintenance behavior evaluation. Based on the third operation and maintenance behavior evaluations of several consecutive times, determine the comprehensive operation and maintenance behavior evaluation.

[0145] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by hardware or by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various implementation scenarios of the present invention.

[0146] The present invention discloses a method and system for analyzing operation and maintenance behavior based on WIFI signal interaction, which relates to the technical field of environmental protection equipment operation and maintenance. Specifically, it discloses constructing a station reference map, and based on the authentication of the identity information of the WIFI access terminal, determining whether to perform operation and maintenance behavior analysis on the WIFI access terminal. Based on the relative position characteristics of different device nodes on the station reference map and the actual operation and maintenance trajectory, determining the actual operation and maintenance process characteristics, comparing the actual operation and maintenance process characteristics with the standard operation and maintenance process characteristics, determining the first operation and maintenance behavior evaluation, based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, determining the third operation and maintenance behavior evaluation, and based on the third operation and maintenance behavior evaluations of several consecutive times, determining the comprehensive operation and maintenance behavior evaluation. Through the above technical solutions, the present invention realizes the analysis of the operation and maintenance behavior of enterprise internal personnel, and based on the analysis results, determines the operation and maintenance behavior evaluation, realizing the quantitative analysis of enterprise operation and maintenance behavior.

[0147] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions of the present invention or make equivalent replacements, and these modifications or equivalent replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for analyzing operation and maintenance behavior based on WIFI signal interaction, characterized in that: include: Design the structural information of the equipment station, build a station reference map, and build the equipment nodes on the station reference map based on the location of different equipment; Obtain the layout location of WIFI devices and construct WIFI device nodes on the site reference map; Obtain the identity information of the WIFI access terminal, and determine whether to perform operation and maintenance behavior analysis on the WIFI access terminal based on the authentication of the identity information of the WIFI access terminal; When analyzing the operation and maintenance behavior of the WIFI access terminal, the dynamic signal strength when different WIFI devices collect the WIFI access terminal signal is obtained, and the dynamic position of the WIFI access terminal is determined based on the proportional relationship between the dynamic signal strengths; Based on the dynamic position of the WIFI access terminal at different time nodes, the actual operation and maintenance trajectory is constructed, and the actual operation and maintenance process characteristics are determined based on the relative position characteristics of different equipment nodes on the site reference map and the actual operation and maintenance trajectory; Acquire operation and maintenance target information, determine standard operation and maintenance process characteristics based on the operation and maintenance target information, compare actual operation and maintenance process characteristics with standard operation and maintenance process characteristics, and determine a first operation and maintenance behavior evaluation based on the comparison result; Obtaining the next operation and maintenance log information, and determining the second operation and maintenance behavior evaluation based on the next operation and maintenance log information and the equipment status estimation result; Based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, a third operation and maintenance behavior evaluation is determined, and based on several consecutive third operation and maintenance behavior evaluations, a comprehensive operation and maintenance behavior evaluation is determined.

2. According to the operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 1, it is characterized in that: According to the equipment station design structure information, a station reference map is constructed, and based on the location of different equipment, a method for constructing equipment nodes on the station reference map includes: Based on the equipment station design structure information, construct the station plan, and build a reference coordinate system for the station plan; Based on the reference coordinate system, several location reference points are set in the site plan. Based on the location and floor area of ​​different equipment, several location reference points are designated as equipment nodes.

3. According to claim 2, the operation and maintenance behavior analysis method based on WIFI signal interaction is characterized in that: Based on the proportional relationship between dynamic signal strengths, the method for determining the dynamic position of a WIFI access terminal includes: Based on the proportional relationship between the dynamic signal intensities, the propulsion speed ratio of the signal scanning circle line is determined; Taking the WIFI device node on the station map as the center of the circle, the propulsion speed units of different signal scanning circles are set according to the determined propulsion speed ratio to simulate the dynamic changes of different signal scanning circles; The dynamic position of the WIFI access terminal is determined according to the intersection positions of the signal scanning circle lines at different time nodes.

4. The operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 2 is characterized in that: Based on the relative position characteristics of different equipment nodes on the station reference map and the actual operation and maintenance trajectory, the method for determining the characteristics of the actual operation and maintenance process includes: Based on the dynamic location of the WIFI access terminal at different time nodes, the corresponding location reference points on the station map are mapped, and the mapped location reference points are marked with the mapping time nodes; Based on the time sequence of the mapped time nodes, the mapped location reference points are connected to obtain the actual operation and maintenance trajectory; Analyze the location reference points mapped by the actual operation and maintenance trajectory, and select a number of mapped location reference points whose sequential interval order is less than a preset order number and whose total residence time is greater than a preset residence time, and record them as the focus location reference points; Analyze the clustering characteristics of the reference points of the concerned locations, and based on the analysis results, construct operation and maintenance retention blocks for the reference points of the concerned locations; Perform location correlation analysis on the operation and maintenance stranded block and several adjacent device nodes, and determine the operation and maintenance time length for different device nodes based on the analysis results.

5. The operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 4 is characterized in that: Methods for analyzing the clustering characteristics of reference points at the locations of interest include: Calculate the straight-line distance from the farthest reference point of the position of interest and identify it as the first block radius; According to the number of reference points of the concerned position, the radius of the first block is corrected to obtain the radius of the second block; Based on the radius of the second block, a dynamic operation and maintenance block is constructed, and the position of the dynamic operation and maintenance block is dynamically changed according to a preset position change unit; Calculate the boundary distance between the dynamic operation and maintenance block and the reference point of the concerned location after each dynamic position change, and select the shortest boundary distance; Compare the shortest boundary distances of dynamic operation and maintenance blocks after different dynamic position changes, and identify the dynamic operation and maintenance block with the longest shortest boundary distance as the operation and maintenance stranded block; Among them, the expression for calculating the radius of the second block is: ； in, is the radius of the second block, is the radius adjustment coefficient, u is the number of reference points at the focus position, b is the reference point number adjustment constant, is the radius of the first block.

6. The operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 4 is characterized in that: The method for analyzing the location correlation of the operation and maintenance stranded block and several adjacent device nodes includes: Calculate the shortest straight-line distances between the operation and maintenance stranded block and several adjacent device nodes respectively, and identify them as the contact reference distances between the operation and maintenance stranded block and the device nodes; For each adjacent device node, the location reference points in the operation and maintenance retention block are screened based on the preset interception distance to obtain the relevant location reference points corresponding to the device node; Based on the number and retention time of relevant location reference points corresponding to the device node, the location correlation between the operation and maintenance retention block and the device node is determined.

7. The operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 6 is characterized in that: The expression for calculating the location correlation between the operation and maintenance stranded block and the device node is: ； in, To maintain the location correlation between the stranded blocks and the device nodes, is the correlation adjustment coefficient, is the quantity weight coefficient, x is the number of reference points at the relevant location, is the time weight coefficient, is the residence time of the nth related position reference point, and c is the correlation adjustment constant.

8. The operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 4 is characterized in that: Methods for comparing the characteristics of the actual operation and maintenance process with the characteristics of the standard operation and maintenance process include: Analyze the characteristics of the actual operation and maintenance process and the characteristics of the standard operation and maintenance process to determine the actual device node operation and maintenance order and the standard device node operation and maintenance order of different device nodes, as well as the actual device node operation and maintenance time and the standard device node operation and maintenance time of different device nodes; Based on the importance of each device node, a specific importance weight coefficient is configured for each device node; The important weight coefficients are combined with the actual equipment node operation and maintenance order and the standard equipment node operation and maintenance order to construct an order behavior evaluation operator for a single equipment node; The important weight coefficients are combined with the actual equipment node operation and maintenance time and the standard equipment node operation and maintenance time to construct a time behavior evaluation operator for a single equipment node; Performing a comprehensive analysis on the order behavior evaluation operator and the time behavior operator of the device node to obtain a first operation and maintenance behavior evaluation; Among them, the expression for calculating the first operation and maintenance behavior evaluation is: ； in, For the first operation and maintenance behavior evaluation, is the first evaluation adjustment coefficient, is the second evaluation adjustment coefficient, is the important weight coefficient of the nth device node, is the operation and maintenance order matching parameter of the nth device node. If the actual device node operation and maintenance order matches the standard device node operation and maintenance order, then If the actual device node operation and maintenance order does not match the standard device node operation and maintenance order, then is 0, is the actual device node operation and maintenance time corresponding to the nth device node, is the standard device node operation and maintenance time corresponding to the nth device node, and d is the time adjustment constant.

9. The operation and maintenance behavior analysis method based on WIFI signal interaction according to claim 8 is characterized in that: Methods for determining comprehensive operation and maintenance behavior evaluation include: Determine the current equipment status parameters based on the current operation and maintenance log information; Obtain device application logs and estimate changes in regular device status; Analyze the next operation and maintenance log information to determine the next equipment status parameters; Calculate the state difference between the next device state parameter and the current device state parameter, and determine the second operation and maintenance behavior evaluation based on the comparison difference between the state difference and the conventional device state change; The first operation and maintenance behavior evaluation weight is configured for the first operation and maintenance behavior evaluation, and the second operation and maintenance behavior evaluation weight is configured for the second operation and maintenance behavior evaluation; Based on the first operation and maintenance behavior evaluation weight, the first operation and maintenance behavior evaluation, the second operation and maintenance behavior evaluation, and the second operation and maintenance behavior evaluation weight, a third operation and maintenance behavior evaluation is obtained; Among them, the expression for calculating the third operation and maintenance behavior evaluation is: ； in, For the third-party operation and maintenance behavior evaluation, is the evaluation weight of the first operation and maintenance behavior, is the evaluation weight of the second operation and maintenance behavior, For the first operation and maintenance behavior evaluation, is the comparison difference between the state difference and the conventional equipment state change, and m is the state difference adjustment constant.

10. An operation and maintenance behavior analysis system based on WIFI signal interaction, characterized in that: include: The first module is used to design structural information of the equipment station, build a station reference map, and build device nodes on the station reference map based on the locations of different devices, obtain the layout location of the WIFI device, and build the WIFI device node on the station reference map; The second module is used to obtain the identity information of the WIFI access terminal, and based on the authentication of the identity information of the WIFI access terminal, determine whether to perform operation and maintenance behavior analysis on the WIFI access terminal. When performing operation and maintenance behavior analysis on the WIFI access terminal, obtain the dynamic signal strength when different WIFI devices collect the WIFI access terminal signal, and determine the dynamic position of the WIFI access terminal based on the proportional relationship between the dynamic signal strengths. Based on the dynamic position of the WIFI access terminal at different time nodes, construct an actual operation and maintenance trajectory, and determine the actual operation and maintenance process characteristics based on the relative position characteristics of different device nodes on the site reference map and the actual operation and maintenance trajectory; The third module is used to obtain operation and maintenance target information, and determine standard operation and maintenance process characteristics based on the operation and maintenance target information, compare the actual operation and maintenance process characteristics with the standard operation and maintenance process characteristics, and determine a first operation and maintenance behavior evaluation based on the comparison result, obtain the next operation and maintenance log information, and determine the second operation and maintenance behavior evaluation based on the next operation and maintenance log information and the equipment status calculation result, determine the third operation and maintenance behavior evaluation based on the first operation and maintenance behavior evaluation and the second operation and maintenance behavior evaluation, and determine a comprehensive operation and maintenance behavior evaluation based on several consecutive third operation and maintenance behavior evaluations.

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