Intelligent inspection method, intelligent inspection instrument and related device

Abstract

The invention provides an intelligent inspection method, an intelligent inspection instrument and a related device. The method comprises the following steps: acquiring target identity information of a target inspector; a target inspection route corresponding to the target identity information is determined, the target inspection route comprises n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to one inspection coordinate; n is a positive integer; acquiring a target position through a positioning sensor; when the distance between the target position and the target inspection coordinate is smaller than a preset distance, determining that the target inspector enters an inspection range of a target inspection point corresponding to the target inspection coordinate, and prompting the target inspector to execute a target inspection task corresponding to the target inspection point; the target inspection task comprises at least one task item; acquiring inspection data of each task item in the target inspection task to obtain at least one inspection data set; and executing the corresponding task item through the at least one inspection data set to obtain a target execution result.

Description

Technical Field

[0001] The present application relates to the field of smart property technology, computer technology, or smart city technology, and specifically to an intelligent inspection method, an intelligent inspection instrument, and related devices. Background Art

[0002] In real life, the inspection instrument is an industrial measurement and control instrument. For example, it can be used for property inspection. Usually, it can be used in conjunction with various sensors and transmitters. For example, it can perform inspection, alarm control, transmission output, data collection and communication on multiple industrial process parameters such as temperature, pressure, liquid level, flow, weight, current, voltage, etc. At present, the functions of the inspection instrument are not intelligent enough. Therefore, the problem of how to improve the intelligence of the inspection instrument needs to be solved urgently. Summary of the invention

[0003] The embodiments of the present application provide an intelligent inspection method, an intelligent inspection instrument, and related devices, which can improve the intelligence of the inspection instrument.

[0004] In a first aspect, an embodiment of the present application provides an intelligent inspection method, which is applied to an intelligent inspection instrument, and a target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the method includes:

[0005] Obtain target identity information of target inspectors;

[0006] Determine a target inspection route corresponding to the target identity information, wherein the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer;

[0007] Acquiring the target position by means of the positioning sensor;

[0008] When the distance between the target position and the target inspection coordinates is less than a preset distance, determining that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinates, and prompting the target inspector to perform a target inspection task corresponding to the target inspection point; the target inspection task includes at least one task item;

[0009] Acquire inspection data related to each task item in the target inspection task to obtain at least one inspection data set;

[0010] The corresponding task items are executed through the at least one inspection data set to obtain a target execution result.

[0011] In a second aspect, an embodiment of the present application provides an intelligent inspection device, which is applied to an intelligent inspection instrument, and a target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the device includes:

[0012] An acquisition unit, used for acquiring target identity information of a target inspector;

[0013] A determination unit, used to determine a target inspection route corresponding to the target identity information, wherein the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer;

[0014] A positioning unit, used for acquiring a target position through the positioning sensor;

[0015] The determination unit is further used to determine that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinates when the distance between the target position and the target inspection coordinates is less than a preset distance, and prompt the target inspector to perform the target inspection task corresponding to the target inspection point; the target inspection task includes at least one task item;

[0016] The acquisition unit is further used to acquire the inspection data of each task item in the target inspection task to obtain at least one inspection data set;

[0017] The execution unit is used to execute corresponding task items through the at least one inspection data set to obtain a target execution result.

[0018] In the third aspect, an embodiment of the present application provides an intelligent inspection meter, including a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the steps in the first aspect of the embodiment of the present application.

[0019] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps described in the first aspect of the embodiment of the present application.

[0020] In a fifth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute some or all of the steps described in the first aspect of the embodiment of the present application. The computer program product may be a software installation package.

[0021] The implementation of the embodiments of the present application has the following beneficial effects:

[0022] It can be seen that the intelligent inspection method, intelligent inspection instrument and related devices described in the embodiments of the present application are applied to the intelligent inspection instrument, and the target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the target identity information of the target inspector is obtained; the target inspection route corresponding to the target identity information is determined, and the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer; the target position is obtained by the positioning sensor; when the distance between the target position and the target inspection coordinate is less than a preset distance, it is determined that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinate, and the target inspector is prompted to perform the target inspection task corresponding to the target inspection point; the target The inspection task includes at least one task item; the inspection data of each task item in the target inspection task is obtained to obtain at least one inspection data set; the corresponding task item is executed through the at least one inspection data set to obtain the target execution result. First, the corresponding inspection route can be assigned based on the user identity, and the corresponding inspection points and inspection tasks can be set based on different inspection routes. Second, based on the positioning function, the corresponding reminder can be implemented when the user arrives at the corresponding inspection point, and the inspection task can be visualized as each task item, and the corresponding inspection data can be obtained, and the inspection task can be quickly executed to generate the corresponding execution result, thereby effectively preventing the omission of the inspection task, and making the inspection task reasonably arranged to ensure the completeness of the inspection task execution, thereby improving the inspection efficiency and the intelligence of the inspection instrument. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] 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 some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 It is a flowchart of an intelligent inspection method provided in an embodiment of the present application;

[0025] Figure 2 It is a structural schematic diagram of an intelligent inspection instrument provided in an embodiment of the present application;

[0026] Figure 3 It is a block diagram of the functional units of an intelligent inspection device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but in a possible example also includes steps or units that are not listed, or in a possible example also includes other steps or units inherent to these processes, methods, products or devices.

[0028] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0029] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0030] See also Figure 1 , Figure 1 It is a flow chart of an intelligent inspection method provided by an embodiment of the present application. As shown in the figure, it is applied to an intelligent inspection instrument, and the target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the intelligent inspection method includes:

[0031] 101. Obtain the target identity information of the target inspector.

[0032] The target identity information may include at least one of the following: age, occupation, position, job content, gender, etc., which are not limited here.

[0033] In a specific implementation, the target inspector can wear an intelligent inspection instrument, which includes a positioning sensor, and the positioning sensor can realize real-time positioning. Specifically, the target identity information of the target inspector can also be obtained.

[0034] In the embodiments of the present application, the intelligent inspection instrument can be applied to inspection scenarios, specifically, property inspection scenarios, border inspection scenarios, factory inspection scenarios, scenic spot inspection scenarios, etc., which are not limited here.

[0035] 102. Determine a target inspection route corresponding to the target identity information, wherein the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer.

[0036] In a specific implementation, different identity information may correspond to different inspection routes. Specifically, the mapping relationship between preset identity information and inspection routes may be pre-stored, and then the target inspection route corresponding to the target identity information may be determined based on the mapping relationship. The target inspection route may include n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer.

[0037] Among them, different inspection points can have different inspection tasks, and the inspection tasks can be pre-set or system default. The inspection tasks can include at least one of the following: clocking in, checking whether the gas pipeline is normal, monitoring whether it is normal, cleaning up garbage, serving the owner, etc., without limitation here.

[0038] Among them, the target inspection route can be displayed on the intelligent inspection instrument, so that the target inspectors can be guided to complete the inspection tasks according to the target inspection route.

[0039] Among them, each inspection task can also correspond to a corresponding execution time, so as to timely remind the target inspector of the specific inspection task at each time point, thereby helping to improve the inspection efficiency of the target inspector.

[0040] 103. Acquire a target position by using the positioning sensor.

[0041] In a specific implementation, the target position can be acquired through a positioning sensor, thereby achieving real-time positioning of the target inspector.

[0042] 104. When the distance between the target position and the target inspection coordinates is less than a preset distance, determine that the target inspector enters the inspection range of the target inspection point corresponding to the target inspection coordinates, and prompt the target inspector to perform the target inspection task corresponding to the target inspection point; the target inspection task includes at least one task item.

[0043] The preset distance may be preset or set by system default.

[0044] In the specific implementation, if the distance between the target position and the target inspection coordinates is less than the preset distance, it means that the target inspector has arrived at an inspection point, and it can be determined that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinates, and the target inspector is prompted to perform the target inspection task corresponding to the target inspection point. The target inspection task includes at least one task item, and the corresponding task item can be displayed on the intelligent inspection instrument. Each task item is an inspection task. Therefore, the target inspector can be reminded in time to perform inspections according to the corresponding task items, thereby ensuring the completeness of the inspection and helping to improve the inspection efficiency.

[0045] 105. Obtain inspection data related to each task item in the target inspection task to obtain at least one inspection data set.

[0046] In an embodiment of the present application, each of the n inspection points can be provided with various sensors, and each sensor can communicate with the intelligent inspection instrument. When the target inspector arrives at the corresponding inspection point, the sensor data of each sensor at the inspection point can be obtained, and the sensor data can be used as inspection data. Since different inspectors have different corresponding responsibilities and authorities, each inspector needs to obtain the inspection data corresponding to his inspection task, so as to use these inspection data to complete the corresponding inspection task.

[0047] The sensor may include at least one of the following: a pressure sensor, a temperature sensor, a humidity sensor, a camera, etc., which are not limited here.

[0048] 106. Execute corresponding task items through the at least one inspection data set to obtain a target execution result.

[0049] In the embodiment of the present application, each task item may correspond to an inspection data set, and each inspection data set may also correspond to an execution result. By summarizing the execution results of each task item at each inspection point, the target execution result can be obtained.

[0050] Optionally, the target identity information includes target position information; the above step 102, determining the target inspection route corresponding to the target identity information, may include the following steps:

[0051] Determine p inspection routes corresponding to the target position information; p is a positive integer;

[0052] Get the current time;

[0053] Selecting q inspection routes corresponding to the current moment from the p inspection routes; each of the q inspection routes is used to be assigned to an inspector; q is a positive integer not greater than p;

[0054] Obtaining target physiological state parameters of the target inspector;

[0055] Determine a target physical state evaluation value corresponding to the target physiological state parameter, and send the target physical state evaluation value to a server, determine a target ranking corresponding to the target physical state evaluation value through the server, and select the target inspection route from the q inspection routes based on the target ranking.

[0056] The target physiological state parameter may include at least one of the following: blood pressure, blood temperature, body temperature, respiratory parameters, venous activity parameters, brain waves, etc., which are not limited here.

[0057] In a specific implementation, different inspection routes can be set for different position information, that is, the mapping relationship between the preset position information and the inspection route can be pre-stored, and then, p inspection routes corresponding to the target position information can be determined based on the mapping relationship; p is a positive integer, and the current time can be obtained, and then, q inspection routes corresponding to the current time can be selected from the p inspection routes, and each of the q inspection routes is used to be assigned to an inspector; q is a positive integer not greater than p, and the target physiological state parameters of the target inspector can be obtained, and the preset physiological state parameters and body condition can be pre-stored. A mapping relationship between the physical state evaluation values ​​can be obtained, and then, based on the mapping relationship, the target physical state evaluation value corresponding to the target physiological state parameter can be determined, and the target physical state evaluation value can be sent to the server, and the target ranking corresponding to the target physical state evaluation value can be determined by the server, and the target inspection route can be selected from q inspection routes through the target ranking. In this way, not only can corresponding inspection routes be configured for different positions, but also corresponding inspection routes can be adapted based on the physical state of the inspection personnel, so that the inspection difficulty is strongly correlated with the physical fitness of the inspection personnel, which helps to ensure the safety of the inspection personnel and also helps to improve the inspection efficiency.

[0058] Optionally, the above step 106, executing corresponding task items by using the at least one inspection data set to obtain a target execution result, may include the following steps:

[0059] Obtaining an inspection data set corresponding to each task item, determining a corresponding execution result according to the inspection data set, and obtaining at least one execution result;

[0060] The target execution result is determined according to the at least one execution result.

[0061] Among them, for each task item, the inspection data set corresponding to each task item can be obtained, and the corresponding execution result can be determined according to the inspection data set to obtain at least one execution result, and then the target execution result can be determined according to the at least one execution result, that is, each task item can correspond to an inspection data set, and each inspection data set can also correspond to an execution result, and then the execution results of each task item at each inspection point are summarized to obtain the target execution result. In this way, the inspection tasks can be refined, and each task can be recorded to ensure the completeness of the inspection and improve the inspection efficiency.

[0062] Optionally, when the inspection data set includes the target environmental parameters of the target gas pipeline, the gas monitoring data of the target gas pipeline in a preset time period, and the temperature data of the target gas pipeline, the above steps of determining the corresponding execution results according to the inspection data set to obtain at least one execution result may include the following steps:

[0063] Acquire multiple pressure values ​​in the preset time period through the gas monitoring data, each pressure value corresponding to a sampling time;

[0064] Detecting whether there is a pressure value that is not within a first preset range among the multiple pressure values;

[0065] When there is a pressure value that is not within the first preset range among the multiple pressure values, selecting an abnormal pressure value from the multiple pressure values ​​to obtain at least one abnormal pressure value, and determining a corresponding execution result according to the at least one abnormal pressure value;

[0066] When there is no pressure value that is not within the first preset range among the multiple pressure values, fitting is performed according to the multiple pressure values ​​and corresponding sampling moments to obtain a fitting curve segment of the preset time period;

[0067] Dividing the fitting curve segment into a plurality of segmented curve segments;

[0068] Determine the average energy value of each of the plurality of segmented curve segments to obtain a plurality of average energy values;

[0069] determining a first mean square error of the plurality of average energy values;

[0070] When the first mean square error is greater than a preset threshold, determining a corresponding execution result according to the first mean square error and the preset threshold;

[0071] When the first mean square error is less than or equal to the preset threshold, determining a first fitting straight line according to the temperature data, and acquiring a first slope of the first fitting straight line;

[0072] Perform fitting according to the multiple pressure values ​​and corresponding sampling moments to obtain a second fitting straight line;

[0073] detecting whether the first slope is within a second preset range and whether the second slope is within a third preset range;

[0074] When the first slope is within the second preset range and the second slope is within the third preset range, it is determined that the corresponding execution result is that the gas pipeline is normal.

[0075] The preset time period may be preset or set by system default.

[0076] Among them, the target environmental parameters may include at least one of the following: environmental humidity, inner wall material of the target gas pipeline, model of the target gas pipeline, pipeline length of the target gas pipeline, ambient light brightness, etc., which are not limited here.

[0077] In a specific implementation, the inspection data set may include target environmental parameters of the target gas pipeline, gas monitoring data for the target gas pipeline in a preset time period, and temperature data of the target gas pipeline.

[0078] The first preset range may be preset or set by system default. The abnormal pressure value may be understood as a pressure value that is not within the first preset range. The first preset range may be a dynamic range, which may be related to the internal temperature of the gas pipeline, or the first preset range may be a fixed range. The first preset range may include a lower threshold and an upper threshold.

[0079] In the embodiment of the present application, multiple pressure values ​​of a preset time period can be obtained through gas monitoring data, each pressure value corresponds to a sampling time, and then it is detected whether there is a pressure value that is not in the first preset range among the multiple pressure values. When there is a pressure value that is not in the first preset range among the multiple pressure values, an abnormal pressure value can be selected from the multiple pressure values ​​to obtain at least one abnormal pressure value, and a corresponding execution result is determined according to the at least one abnormal pressure value. For example, when the abnormal pressure value is less than the lower limit threshold of the first preset range, a first difference between the lower limit threshold and the abnormal pressure value can be determined. When the abnormal pressure value is greater than the upper limit threshold of the first preset range, a second difference between the abnormal pressure value and the upper limit threshold can be determined. Based on this principle, the difference corresponding to all abnormal pressure values ​​can be determined, and the target mean of these differences can be determined. According to the mapping relationship between the preset mean and the warning parameter, the first warning parameter corresponding to the target mean is determined, and the first warning operation corresponding to the first warning parameter is used as the execution result. The first warning parameter may include at least one of the following: abnormal level, warning mode, etc., which are not limited here. The warning mode may include at least one of the following: making a call, voice prompt, display reminder, vibration reminder, etc., which are not limited here.

[0080] The preset threshold value may be preset or set by system default. The preset threshold value may be related to environmental parameters, or the preset threshold value may also be related to temperature data.

[0081] Furthermore, when there is no pressure value that is not within the first preset range among the multiple pressure values, it means that although there is an abnormality, the abnormality is not serious. Then, fitting can be performed based on the multiple pressure values ​​and the corresponding sampling times to obtain a fitting curve segment of the preset time period, where the ordinate of the fitting curve segment is time, and the abscissa is the pressure value. The fitting curve segment is then divided into multiple segmented curve segments, and the number of segmented curve segments may be related to environmental parameters, or the number of segmented curve segments may also be related to temperature data.

[0082] Furthermore, the average energy value of each of the multiple segmented curve segments can be determined to obtain multiple average energy values, and then the first mean square error of the multiple average energy values ​​can be determined. When the first mean square error is greater than the preset threshold, it means that the pressure change is large, and the corresponding execution result can be determined according to the first mean square error and the preset threshold. For example, the first target difference between the first mean square error and the preset threshold can be determined, and different differences can correspond to different warning parameters, that is, according to the mapping relationship between the preset difference and the warning parameter, the second warning parameter corresponding to the first target difference is determined, and the second warning operation corresponding to the second warning parameter is used as the execution result. The second warning parameter may include at least one of the following: abnormality level, warning method, etc., which are not limited here. The warning method may include at least one of the following: making a call, voice prompt, display reminder, vibration reminder, etc., which are not limited here.

[0083] The second preset range and the third preset range may be preset or set by system default.

[0084] In a specific implementation, when the first mean square error is less than or equal to a preset threshold value, it means that although there is an abnormality, the abnormality is not serious. Then, a first fitting straight line can be determined according to the temperature data to obtain a first slope of the first fitting straight line. The horizontal axis of the first fitting straight line is time, and the vertical axis is temperature. Then, fitting can be performed according to multiple pressure values ​​and corresponding sampling times to obtain a second fitting straight line. Then, it can be detected whether the first slope is in the second preset range and whether the second slope is in the third preset range. When the first slope is in the second preset range and the second slope is in the third preset range, it is determined that the corresponding execution result is that the gas pipeline is normal. In this way, the safety of the gas pipeline can be deeply monitored.

[0085] Optionally, the following steps may also be included:

[0086] When the first slope is within the second preset range and the second slope is not within the third preset range, acquiring historical gas monitoring data corresponding to the target environmental parameter of the target gas pipeline, and acquiring corresponding historical pressure values ​​according to the historical gas monitoring data to obtain a plurality of historical pressure values;

[0087] Perform fitting according to the multiple historical pressure values ​​to obtain a third fitting straight line;

[0088] Obtaining a third slope of the third fitting straight line;

[0089] A corresponding execution result is determined according to a difference between the second slope and the third slope.

[0090] In the embodiment of the present application, when the first slope is within the second preset range and the second slope is not within the third preset range, it means that the temperature is normal but the pressure is abnormal, then the historical gas monitoring data corresponding to the target environmental parameters of the target gas pipeline can be obtained, and the corresponding historical pressure value can be obtained according to the historical gas monitoring data to obtain multiple historical pressure values, that is, big data can be used to draw on historical experience to analyze the current inspection results. Each historical pressure value can also correspond to a historical moment.

[0091] Specifically, a third fitting straight line can be obtained by fitting according to multiple historical pressure values, that is, the horizontal axis of the third fitting straight line is time, and the vertical axis is pressure value, then the third slope of the third fitting straight line can be obtained, and then the corresponding execution result can be determined according to the difference between the second slope and the third slope, and the difference between the second slope and the third slope can be determined to obtain the second target difference, that is, different differences can correspond to different warning parameters, that is, according to the mapping relationship between the preset difference and the warning parameter, the third warning parameter corresponding to the second target difference is determined, and the third warning operation corresponding to the third warning parameter is used as the execution result, the third warning parameter can include at least one of the following: abnormality level, warning method, etc., which are not limited here, and the warning method can include at least one of the following: making a call, voice prompt, display reminder, vibration reminder, etc., which are not limited here.

[0092] Optionally, the following steps may also be included:

[0093] When the first slope is not within the second preset range and the second slope is within the third preset range, determining a maximum value and a minimum value in the temperature data, and determining a target increment according to the maximum value and the minimum value;

[0094] A corresponding execution result is determined according to the first slope and the target increment.

[0095] In the embodiment of the present application, when the first slope is not within the second preset range and the second slope is within the third preset range, it means that the temperature is abnormal but the pressure is normal, then the maximum and minimum values ​​in the temperature data can be determined, and the target increment is determined according to the maximum and minimum values, the target increment = (maximum value - minimum value) / minimum value, then, the corresponding execution result can be determined according to the first slope and the target increment, that is, the third target difference between the first slope and the target increment can be determined, that is, different differences can correspond to different warning parameters, that is, according to the mapping relationship between the preset difference and the warning parameter, the fourth warning parameter corresponding to the third target difference is determined, and the fourth warning operation corresponding to the third warning parameter is used as the execution result, the third warning parameter may include at least one of the following: abnormal level, warning method, etc., which are not limited here, and the warning method may include at least one of the following: making a call, voice prompt, display reminder, vibration reminder, etc., which are not limited here.

[0096] Optionally, the following steps may also be included:

[0097] When the first slope is not within the second preset range and the second slope is not within the third preset range, determining an absolute value of a difference between the first slope and the second slope;

[0098] A corresponding execution result is determined according to the absolute value.

[0099] In a specific implementation, when the first slope is not within the second preset range and the second slope is not within the third preset range, it means that both the temperature and the pressure are abnormal, and the absolute value of the difference between the first slope and the second slope can be determined, and the mapping relationship between the preset absolute value and the warning parameter can be pre-stored. Furthermore, the corresponding target warning parameters can be determined based on the mapping relationship, and the target warning operation corresponding to the target warning parameters can be taken as the execution result. The target warning parameters can include at least one of the following: abnormality level, warning method, etc., which are not limited here. The warning method can include at least one of the following: making a call, voice prompt, display reminder, vibration reminder, etc., which are not limited here.

[0100] Optionally, the intelligent inspection instrument further includes a fingerprint recognition module, and may further include the following steps:

[0101] Acquiring a target fingerprint image of the target inspector through the fingerprint recognition module;

[0102] Matching the target fingerprint image with a preset fingerprint template;

[0103] When the target fingerprint image successfully matches the preset fingerprint template, the step of obtaining the target identity information of the target inspector is performed.

[0104] In the embodiment of the present application, the preset fingerprint template can be pre-set or system default.

[0105] In a specific implementation, the target fingerprint image of the target inspector can be obtained through the fingerprint recognition module, and the target fingerprint image can be matched with a preset fingerprint template. When the target fingerprint image matches the preset fingerprint template successfully, the step of obtaining the target identity information of the target inspector is executed, thereby ensuring the security of the inspection and preventing the inspection instrument from being misused.

[0106] When the target fingerprint image successfully matches the preset fingerprint template, it means that the target inspector is not the target inspector, and the administrator can be prompted that the intelligent inspection instrument is lost. Of course, the fingerprint recognition failure can also be prompted.

[0107] It can be seen that the intelligent inspection method described in the embodiment of the present application is applied to an intelligent inspection instrument, and the target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the target identity information of the target inspector is obtained; the target inspection route corresponding to the target identity information is determined, and the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer; the target position is obtained by the positioning sensor; when the distance between the target position and the target inspection coordinate is less than a preset distance, it is determined that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinate, and the target inspector is prompted to perform the target inspection task corresponding to the target inspection point; the target inspection task includes At least one task item; obtaining the inspection data of each task item in the target inspection task to obtain at least one inspection data set; executing the corresponding task item through the at least one inspection data set to obtain the target execution result. First, the corresponding inspection route can be assigned based on the user identity, and the corresponding inspection points and inspection tasks can be set based on different inspection routes. Second, based on the positioning function, the corresponding reminder can be implemented when the user arrives at the corresponding inspection point, and the inspection task can be visualized as each task item, and the corresponding inspection data can be obtained, and the inspection task can be quickly executed to generate the corresponding execution result, thereby effectively preventing the omission of the inspection task, and making the inspection task reasonably arranged to ensure the completeness of the inspection task execution, thereby improving the inspection efficiency and the intelligence of the inspection instrument.

[0108] In accordance with the above embodiment, please refer to Figure 2 , Figure 2: is a structural schematic diagram of an intelligent patrol meter provided in an embodiment of the present application. As shown in the figure, the intelligent patrol meter includes a processor, a memory, a communication interface and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor. In the embodiment of the present application, the target inspector wears the intelligent patrol meter; the intelligent patrol meter includes a positioning sensor; the program includes instructions for executing the following steps:

[0109] Obtain target identity information of target inspectors;

[0110] Determine a target inspection route corresponding to the target identity information, wherein the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer;

[0111] Acquiring the target position by means of the positioning sensor;

[0112] When the distance between the target position and the target inspection coordinates is less than a preset distance, determining that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinates, and prompting the target inspector to perform a target inspection task corresponding to the target inspection point; the target inspection task includes at least one task item;

[0113] Acquire inspection data related to each task item in the target inspection task to obtain at least one inspection data set;

[0114] The corresponding task items are executed through the at least one inspection data set to obtain a target execution result.

[0115] Optionally, the target identity information includes target position information;

[0116] In terms of determining the target inspection route corresponding to the target identity information, the program includes instructions for performing the following steps:

[0117] Determine p inspection routes corresponding to the target position information; p is a positive integer;

[0118] Get the current time;

[0119] Selecting q inspection routes corresponding to the current moment from the p inspection routes; each of the q inspection routes is used to be assigned to an inspector; q is a positive integer not greater than p;

[0120] Obtaining target physiological state parameters of the target inspector;

[0121] Determine a target physical state evaluation value corresponding to the target physiological state parameter, and send the target physical state evaluation value to a server, determine a target ranking corresponding to the target physical state evaluation value through the server, and select the target inspection route from the q inspection routes based on the target ranking.

[0122] Optionally, in the aspect of executing the corresponding task items through the at least one inspection data set to obtain the target execution result, the above program includes instructions for executing the following steps:

[0123] Obtaining an inspection data set corresponding to each task item, determining a corresponding execution result according to the inspection data set, and obtaining at least one execution result;

[0124] The target execution result is determined according to the at least one execution result.

[0125] Optionally, when the inspection data set includes target environmental parameters of a target gas pipeline, gas monitoring data for the target gas pipeline in a preset time period, and temperature data of the target gas pipeline, in determining a corresponding execution result according to the inspection data set and obtaining at least one execution result, the program includes instructions for executing the following steps:

[0126] Acquire multiple pressure values ​​in the preset time period through the gas monitoring data, each pressure value corresponding to a sampling time;

[0127] Detecting whether there is a pressure value that is not within a first preset range among the multiple pressure values;

[0128] When there is a pressure value that is not within the first preset range among the multiple pressure values, selecting an abnormal pressure value from the multiple pressure values ​​to obtain at least one abnormal pressure value, and determining a corresponding execution result according to the at least one abnormal pressure value;

[0129] When there is no pressure value that is not within the first preset range among the multiple pressure values, fitting is performed according to the multiple pressure values ​​and corresponding sampling moments to obtain a fitting curve segment of the preset time period;

[0130] Dividing the fitting curve segment into a plurality of segmented curve segments;

[0131] Determine the average energy value of each of the plurality of segmented curve segments to obtain a plurality of average energy values;

[0132] determining a first mean square error of the plurality of average energy values;

[0133] When the first mean square error is greater than a preset threshold, determining a corresponding execution result according to the first mean square error and the preset threshold;

[0134] When the first mean square error is less than or equal to the preset threshold, determining a first fitting straight line according to the temperature data, and acquiring a first slope of the first fitting straight line;

[0135] Perform fitting according to the multiple pressure values ​​and corresponding sampling moments to obtain a second fitting straight line;

[0136] detecting whether the first slope is within a second preset range and whether the second slope is within a third preset range;

[0137] When the first slope is within the second preset range and the second slope is within the third preset range, it is determined that the corresponding execution result is that the gas pipeline is normal.

[0138] Optionally, the program further includes instructions for executing the following steps:

[0139] When the first slope is within the second preset range and the second slope is not within the third preset range, acquiring historical gas monitoring data corresponding to the target environmental parameter of the target gas pipeline, and acquiring corresponding historical pressure values ​​according to the historical gas monitoring data to obtain a plurality of historical pressure values;

[0140] Perform fitting according to the multiple historical pressure values ​​to obtain a third fitting straight line;

[0141] Obtaining a third slope of the third fitting straight line;

[0142] A corresponding execution result is determined according to a difference between the second slope and the third slope.

[0143] Optionally, the program further includes instructions for executing the following steps:

[0144] When the first slope is not within the second preset range and the second slope is within the third preset range, determining a maximum value and a minimum value in the temperature data, and determining a target increment according to the maximum value and the minimum value;

[0145] A corresponding execution result is determined according to the first slope and the target increment.

[0146] Optionally, the program further includes instructions for executing the following steps:

[0147] When the first slope is not within the second preset range and the second slope is not within the third preset range, determining an absolute value of a difference between the first slope and the second slope;

[0148] A corresponding execution result is determined according to the absolute value.

[0149] Optionally, the intelligent inspection instrument further includes a fingerprint recognition module, and the above program further includes instructions for executing the following steps:

[0150] Acquiring a target fingerprint image of the target inspector through the fingerprint recognition module;

[0151] Matching the target fingerprint image with a preset fingerprint template;

[0152] When the target fingerprint image successfully matches the preset fingerprint template, the step of obtaining the target identity information of the target inspector is performed.

[0153] It can be seen that in the intelligent patrol instrument described in the embodiment of the present application, the target patrolman wears the intelligent patrol instrument; the intelligent patrol instrument includes a positioning sensor; the target identity information of the target patrolman is obtained; the target patrol route corresponding to the target identity information is determined, and the target patrol route includes n patrol points, each patrol point corresponds to at least one patrol task, and each patrol point corresponds to an patrol coordinate; n is a positive integer; the target position is obtained by the positioning sensor; when the distance between the target position and the target patrol coordinate is less than a preset distance, it is determined that the target patrolman enters the patrol range of the target patrol point corresponding to the target patrol coordinate, and the target patrolman is prompted to perform the target patrol task corresponding to the target patrol point; the target patrol task includes at least one task task items; obtain the inspection data of each task item in the target inspection task to obtain at least one inspection data set; execute the corresponding task items through the at least one inspection data set to obtain the target execution result. First, the corresponding inspection route can be assigned based on the user identity, and the corresponding inspection points and inspection tasks can be set based on different inspection routes. Second, based on the positioning function, the corresponding reminder can be realized when the user arrives at the corresponding inspection point, and the inspection task can be visualized as each task item, and the corresponding inspection data can be obtained, and the inspection task can be quickly executed to generate the corresponding execution result, thereby effectively preventing the omission of the inspection task, and making the inspection task reasonably arranged to ensure the completeness of the inspection task execution, thereby improving the inspection efficiency and the intelligence of the inspection instrument.

[0154] Figure 3 This is a functional unit block diagram of an intelligent inspection device 300 involved in an embodiment of the present application. The intelligent inspection device 300 is applied to an intelligent inspection instrument, and the target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the intelligent inspection device 300 includes:

[0155] An acquisition unit 301 is used to acquire target identity information of a target inspector;

[0156] The determination unit 302 is used to determine a target inspection route corresponding to the target identity information, wherein the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer;

[0157] A positioning unit 303, configured to obtain a target position through the positioning sensor;

[0158] The determination unit 302 is further configured to determine that the target inspector enters the inspection range of the target inspection point corresponding to the target inspection coordinates when the distance between the target position and the target inspection coordinates is less than a preset distance, and prompt the target inspector to perform a target inspection task corresponding to the target inspection point; the target inspection task includes at least one task item;

[0159] The acquisition unit 301 is further used to acquire the inspection data of each task item in the target inspection task to obtain at least one inspection data set;

[0160] The execution unit 304 is used to execute corresponding task items through the at least one inspection data set to obtain a target execution result.

[0161] Optionally, the target identity information includes target position information;

[0162] In determining the target inspection route corresponding to the target identity information, the determining unit 302 is specifically used to:

[0163] Determine p inspection routes corresponding to the target position information; p is a positive integer;

[0164] Get the current time;

[0165] Selecting q inspection routes corresponding to the current moment from the p inspection routes; each of the q inspection routes is used to be assigned to an inspector; q is a positive integer not greater than p;

[0166] Obtaining target physiological state parameters of the target inspector;

[0167] Determine a target physical state evaluation value corresponding to the target physiological state parameter, and send the target physical state evaluation value to a server, determine a target ranking corresponding to the target physical state evaluation value through the server, and select the target inspection route from the q inspection routes based on the target ranking.

[0168] Optionally, in the aspect of executing the corresponding task item through the at least one inspection data set to obtain the target execution result, the execution unit 304 is specifically used to:

[0169] Obtaining an inspection data set corresponding to each task item, determining a corresponding execution result according to the inspection data set, and obtaining at least one execution result;

[0170] The target execution result is determined according to the at least one execution result.

[0171] Optionally, when the inspection data set includes the target environmental parameters of the target gas pipeline, the gas monitoring data for the target gas pipeline in a preset time period, and the temperature data of the target gas pipeline, in determining the corresponding execution result according to the inspection data set and obtaining at least one execution result, the execution unit 304 is specifically used to:

[0172] Acquire multiple pressure values ​​in the preset time period through the gas monitoring data, each pressure value corresponding to a sampling time;

[0173] Detecting whether there is a pressure value that is not within a first preset range among the multiple pressure values;

[0174] When there is a pressure value that is not within the first preset range among the multiple pressure values, selecting an abnormal pressure value from the multiple pressure values ​​to obtain at least one abnormal pressure value, and determining a corresponding execution result according to the at least one abnormal pressure value;

[0175] When there is no pressure value that is not within the first preset range among the multiple pressure values, fitting is performed according to the multiple pressure values ​​and corresponding sampling moments to obtain a fitting curve segment of the preset time period;

[0176] Dividing the fitting curve segment into a plurality of segmented curve segments;

[0177] Determine the average energy value of each of the plurality of segmented curve segments to obtain a plurality of average energy values;

[0178] determining a first mean square error of the plurality of average energy values;

[0179] When the first mean square error is greater than a preset threshold, determining a corresponding execution result according to the first mean square error and the preset threshold;

[0180] When the first mean square error is less than or equal to the preset threshold, determining a first fitting straight line according to the temperature data, and acquiring a first slope of the first fitting straight line;

[0181] Perform fitting according to the multiple pressure values ​​and corresponding sampling moments to obtain a second fitting straight line;

[0182] detecting whether the first slope is within a second preset range and whether the second slope is within a third preset range;

[0183] When the first slope is within the second preset range and the second slope is within the third preset range, it is determined that the corresponding execution result is that the gas pipeline is normal.

[0184] Optionally, the execution unit 304 is further specifically configured to:

[0185] When the first slope is within the second preset range and the second slope is not within the third preset range, acquiring historical gas monitoring data corresponding to the target environmental parameter of the target gas pipeline, and acquiring corresponding historical pressure values ​​according to the historical gas monitoring data to obtain a plurality of historical pressure values;

[0186] Perform fitting according to the multiple historical pressure values ​​to obtain a third fitting straight line;

[0187] Obtaining a third slope of the third fitting straight line;

[0188] A corresponding execution result is determined according to a difference between the second slope and the third slope.

[0189] Optionally, the execution unit 304 is further specifically configured to:

[0190] When the first slope is not within the second preset range and the second slope is within the third preset range, determining a maximum value and a minimum value in the temperature data, and determining a target increment according to the maximum value and the minimum value;

[0191] A corresponding execution result is determined according to the first slope and the target increment.

[0192] Optionally, the execution unit 304 is further specifically configured to:

[0193] When the first slope is not within the second preset range and the second slope is not within the third preset range, determining an absolute value of a difference between the first slope and the second slope;

[0194] A corresponding execution result is determined according to the absolute value.

[0195] Optionally, the intelligent inspection instrument further includes a fingerprint recognition module, and the intelligent inspection device 300 is further specifically used for:

[0196] Acquiring a target fingerprint image of the target inspector through the fingerprint recognition module;

[0197] Matching the target fingerprint image with a preset fingerprint template;

[0198] When the target fingerprint image successfully matches the preset fingerprint template, the step of obtaining the target identity information of the target inspector is performed.

[0199] It can be seen that the intelligent inspection device described in the embodiment of the present application is applied to an intelligent inspection instrument, and the target inspector wears the intelligent inspection instrument; the intelligent inspection instrument includes a positioning sensor; the target identity information of the target inspector is obtained; the target inspection route corresponding to the target identity information is determined, and the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer; the target position is obtained by the positioning sensor; when the distance between the target position and the target inspection coordinate is less than a preset distance, it is determined that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinate, and the target inspector is prompted to perform the target inspection task corresponding to the target inspection point; the target inspection task includes At least one task item; obtaining the inspection data of each task item in the target inspection task to obtain at least one inspection data set; executing the corresponding task item through the at least one inspection data set to obtain the target execution result. First, the corresponding inspection route can be assigned based on the user identity, and the corresponding inspection points and inspection tasks can be set based on different inspection routes. Second, based on the positioning function, the corresponding reminder can be implemented when the user arrives at the corresponding inspection point, and the inspection task can be visualized as each task item, and the corresponding inspection data can be obtained, and the inspection task can be quickly executed to generate the corresponding execution result, thereby effectively preventing the omission of the inspection task, and making the inspection task reasonably arranged to ensure the completeness of the inspection task execution, thereby improving the inspection efficiency and the intelligence of the inspection instrument.

[0200] It can be understood that the functions of each program module of the intelligent inspection device of this embodiment can be specifically implemented according to the method in the above method embodiment, and its specific implementation process can refer to the relevant description of the above method embodiment, which will not be repeated here.

[0201] An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute part or all of the steps of any method recorded in the above method embodiments, and the above computer includes an intelligent inspection instrument.

[0202] The embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, the computer program is operable to cause a computer to execute some or all of the steps of any method described in the method embodiment. The computer program product can be a software installation package, and the computer includes an intelligent inspection instrument.

[0203] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0204] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0205] In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0206] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0207] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0208] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.

[0209] A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, etc.

[0210] The embodiments of the present application are introduced in detail above. Specific examples are used in this article 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 and core idea of ​​the present application. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. An intelligent inspection method, characterized in that: Applied to an intelligent patrol instrument, the target inspector wears the intelligent patrol instrument; the intelligent patrol instrument includes a positioning sensor; the method includes: Obtain target identity information of target inspectors; Determine a target inspection route corresponding to the target identity information, wherein the target inspection route includes n inspection points, each inspection point corresponds to at least one inspection task, and each inspection point corresponds to an inspection coordinate; n is a positive integer; Acquiring the target position by means of the positioning sensor; When the distance between the target position and the target inspection coordinates is less than a preset distance, determining that the target inspector has entered the inspection range of the target inspection point corresponding to the target inspection coordinates, and prompting the target inspector to perform a target inspection task corresponding to the target inspection point; the target inspection task includes at least one task item; Acquire inspection data related to each task item in the target inspection task to obtain at least one inspection data set; The corresponding task items are executed through the at least one inspection data set to obtain a target execution result.

2. The method according to claim 1, characterized in that The target identity information includes target position information; The determining of the target inspection route corresponding to the target identity information includes: Determine p inspection routes corresponding to the target position information; p is a positive integer; Get the current time; Selecting q inspection routes corresponding to the current moment from the p inspection routes; each of the q inspection routes is used to be assigned to an inspector; q is a positive integer not greater than p; Obtaining target physiological state parameters of the target inspector; Determine a target physical state evaluation value corresponding to the target physiological state parameter, and send the target physical state evaluation value to a server, determine a target ranking corresponding to the target physical state evaluation value through the server, and select the target inspection route from the q inspection routes based on the target ranking.

3. The method according to claim 1 or 2, characterized in that: The performing of corresponding task items through the at least one inspection data set to obtain a target execution result includes: Obtaining an inspection data set corresponding to each task item, determining a corresponding execution result according to the inspection data set, and obtaining at least one execution result; The target execution result is determined according to the at least one execution result.

4. The method according to claim 3, characterized in that When the inspection data set includes the target environmental parameters of the target gas pipeline, the gas monitoring data of the target gas pipeline in a preset time period, and the temperature data of the target gas pipeline, the corresponding execution result is determined according to the inspection data set to obtain at least one execution result, including: Acquire multiple pressure values ​​in the preset time period through the gas monitoring data, each pressure value corresponding to a sampling time; Detecting whether there is a pressure value that is not within a first preset range among the multiple pressure values; When there is a pressure value that is not within the first preset range among the multiple pressure values, selecting an abnormal pressure value from the multiple pressure values ​​to obtain at least one abnormal pressure value, and determining a corresponding execution result according to the at least one abnormal pressure value; When there is no pressure value that is not within the first preset range among the multiple pressure values, fitting is performed according to the multiple pressure values ​​and corresponding sampling moments to obtain a fitting curve segment of the preset time period; Dividing the fitting curve segment into a plurality of segmented curve segments; Determine the average energy value of each of the plurality of segmented curve segments to obtain a plurality of average energy values; determining a first mean square error of the plurality of average energy values; When the first mean square error is greater than a preset threshold, determining a corresponding execution result according to the first mean square error and the preset threshold; When the first mean square error is less than or equal to the preset threshold, determining a first fitting straight line according to the temperature data, and acquiring a first slope of the first fitting straight line; Perform fitting according to the multiple pressure values ​​and corresponding sampling moments to obtain a second fitting straight line; detecting whether the first slope is within a second preset range and whether the second slope is within a third preset range; When the first slope is within the second preset range and the second slope is within the third preset range, it is determined that the corresponding execution result is that the gas pipeline is normal.

5. The method according to claim 4, characterized in that The method further comprises: When the first slope is within the second preset range and the second slope is not within the third preset range, acquiring historical gas monitoring data corresponding to the target environmental parameter of the target gas pipeline, and acquiring corresponding historical pressure values ​​according to the historical gas monitoring data to obtain a plurality of historical pressure values; Perform fitting according to the multiple historical pressure values ​​to obtain a third fitting straight line; Obtaining a third slope of the third fitting straight line; A corresponding execution result is determined according to a difference between the second slope and the third slope.

6. The method according to claim 5, characterized in that The method further comprises: When the first slope is not within the second preset range and the second slope is within the third preset range, determining a maximum value and a minimum value in the temperature data, and determining a target increment according to the maximum value and the minimum value; A corresponding execution result is determined according to the first slope and the target increment.

7. The method according to claim 6, characterized in that The method further comprises: When the first slope is not within the second preset range and the second slope is not within the third preset range, determining an absolute value of a difference between the first slope and the second slope; A corresponding execution result is determined according to the absolute value.

8. The method according to claim 1 or 2, characterized in that: The intelligent inspection instrument further includes a fingerprint recognition module, and the method further includes: Acquiring a target fingerprint image of the target inspector through the fingerprint recognition module; Matching the target fingerprint image with a preset fingerprint template; When the target fingerprint image successfully matches the preset fingerprint template, the step of obtaining the target identity information of the target inspector is performed.

9. An intelligent inspection instrument, characterized in that: The method comprises a processor and a memory, wherein the memory is used to store one or more programs and is configured to be executed by the processor, wherein the programs include instructions for executing the steps in the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that: A computer program for electronic data exchange is stored, wherein the computer program enables a computer to execute the method according to any one of claims 1 to 8.

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