False identification method for calibration process of underground coal mine sensor

Abstract

The invention belongs to the technical field of underground detection, and particularly relates to a coal mine underground sensor calibration process false identification method, which is characterized in that a remote control probe is arranged on a sensor to be calibrated and is used for detecting intervention data of a remote controller, and comprises the following steps: S1, when normal data of the sensor is changed, the uploaded frame number content comprises an event switch and process data; s2, when the sensor enters a remote control state, uploading frame number contents including an event switch, process data, a remote control function number and a remote controller key value; s3, identifying remote control probe data of the sensor by ground software, analyzing the uploaded data, obtaining a numerical value of the sensor according to a remote control function number and remote control key value data, and generating the numerical value through remote control; and S4, judging that the calibration process is artificial remote controller calibration faking. According to the method disclosed by the invention, the illegal operation is marked and reminded by analyzing an illegal operation method and through technical means such as automatic software identification.

Description

Technical Field

[0001] The invention belongs to the technical field of underground mine detection, and in particular relates to a method for identifying falsehoods in a sensor calibration process in an underground coal mine. Background Art

[0002] At present, the safety situation in coal mines remains severe and complex. In recent years, major and particularly serious accidents have rebounded. Although the technical equipment of coal mine safety monitoring systems has been popularized and applied in coal mining enterprises for many years, there are still problems such as unstable system operation, inaccurate monitoring parameters, non-compliant on-site use and maintenance, and even human influence. These problems have caused the monitoring system to fail to fully play its role, bringing hidden dangers to coal mine safety production.

[0003] From the analysis of accidents over the years, it can be seen that most accidents are caused by problems in the use of the system. The safety awareness of underground personnel is weak, and illegal operations lead to the failure of underground environmental monitoring sensors or data distortion, which cannot truly reflect the actual situation underground, thus leaving safety hazards. Therefore, coal mining enterprises and regulatory departments at all levels must strictly follow the laws and regulations and relevant standards to ensure the correct use, operation and maintenance of coal mine safety monitoring systems. At the same time, safety monitoring system manufacturers analyze the illegal operations and fraud of the mines, and avoid the above illegal operations through technology, which is of great significance to eliminate the safety hazards caused by them.

[0004] In response to the above-mentioned situations that lead to failure of safety monitoring system sensors or distortion of data, underground operation methods are concealed, and their illegal operation behaviors cannot be effectively analyzed during mine safety inspections. Various monitoring system software on the market cannot reflect relevant illegal operation traces or effective evidence of falsification, allowing some mine personnel to evade supervision, resulting in prominent hidden dangers in the underground safety working environment of coal mining enterprises. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a method for identifying fraud in the calibration process of underground coal mine sensors, which analyzes illegal operation methods and uses technical means such as automatic software recognition to mark and remind illegal operations.

[0006] The present invention provides a method for identifying false alarms during the calibration process of underground coal mine sensors. A remote control probe is arranged on the sensor to be calibrated to detect the intervention data of the remote control, and the method comprises the following steps:

[0007] S1. When the normal data of the sensor changes, the uploaded frame content includes: event switch and process data;

[0008] S2. When the sensor enters the remote control state, the uploaded frame content includes: event switch, process data, remote control function number and remote control key value;

[0009] S3, the ground software identifies the sensor remote control probe data, and parses the uploaded data, and obtains the sensor value generated by remote control according to the remote control function number and remote control key value data;

[0010] S4. It is determined that the calibration process was artificially falsified by the remote control calibration.

[0011] Furthermore, the event switch includes: sensor remote control key value, sensor entry remote control and sensor process data.

[0012] Furthermore, the process data is the data normally uploaded by the sensor, the remote control function number is the functional status of the remote control, the remote control key value is the numerical value input by the remote control button, and the remote control key value replaces the data normally uploaded by the sensor.

[0013] Furthermore, the event switch, the remote control function number and the remote control key value data are all 1 byte, and the process data is 2 bytes.

[0014] Furthermore, in the event switch, when there is a sensor remote control key value, a sensor entry remote control, and a sensor process data, the uploaded data is 1, and when not present, the uploaded data is 0.

[0015] Furthermore, the method for identifying false alarms during the calibration process of underground coal mine sensors also includes:

[0016] S5. Remind the customer that this calibration is fraudulent.

[0017] The beneficial effects of the present invention are:

[0018] The method for identifying illegal operations of underground coal mine sensors and over-limit alarms of the present invention can automatically identify illegal operations or fraudulent methods of underground mine operators, provide technical means for regulatory authorities, greatly reduce the safety production risks caused by illegal operations of underground coal mine enterprises, and indirectly ensure the safe production working environment of underground coal mines. At the same time, the present invention can also provide technical protection for monitoring system manufacturers to prevent unclear division of responsibilities when accidents occur.

[0019] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0021] Figure 1 This is a schematic diagram of the installation position of the sensor in the mine of the present invention;

[0022] Figure 2 A flow chart of a false identification method for the coal mine underground sensor calibration process of the present invention;

[0023] Figure 3 This is a flow chart of the method for identifying illegal operation of sensor calibration in underground coal mines of the present invention;

[0024] Figure 4 This is a flow chart of the method for identifying illegal operations of over-limit alarm of underground coal mine sensors of the present invention. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] According to the use of the on-site coal mine safety monitoring system, the illegal use of underground personnel and calibration of sensors resulting in sensor failure or data distortion can be divided into the following situations:

[0027] 1. The sensor calibration process is falsified, resulting in poor sensor stability and distorted display data.

[0028] Article 492 of the 2022 version of the "Safety Regulations for Coal Mines" states that methane sensors using carrier catalytic elements must be calibrated at the equipment installation site using standard gas samples and air samples. The methane electric interlock and wind power interlock functions are tested once every 15 days. The methane sensor calibration and methane electric interlock test stipulated in this article are to ensure that the methane sensor accurately feedbacks the methane concentration in the underground environment within its characteristic stability period, and realizes the accurate and reliable execution of the methane over-limit interlock, thereby ensuring safe production in coal mines.

[0029] However, some underground mine sensor calibration personnel falsified the sensor calibration process and methane electric interlock test, which caused hidden dangers in underground coal mine safety production. The specific falsification is manifested in the following aspects:

[0030] 1) No standard gas sample is introduced during the calibration process. Only manual interaction means such as remote control are used to enable the sensor to automatically generate a calibration curve, thereby simulating the actual ventilation process underground.

[0031] 2) The sensor is not calibrated at the sensor installation location, such as Figure 1As shown in the figure, the sensor installation position is at position T1 in the figure, that is, sensor A. Under normal circumstances, the sensor A installed at position T1 should be subjected to ventilation calibration test. Since the installation position T1 is far from the return air outlet and the environment is poor, some calibration personnel are unwilling to go to position T1 to calibrate and test sensor A. Therefore, a sensor interface is reserved at position T2 of the return air outlet. First, the communication of sensor A is cut off at position T1, and another sensor A1 (where the address and type of sensor A1 are consistent with those of sensor A) is connected to the sensor interface reserved at T2, and then a ventilation calibration test is performed on sensor A1. Then the data displayed on the ground software is consistent with the data when sensor A is calibrated at position T1. Therefore, this kind of fraud cannot be distinguished on the ground software.

[0032] 2. When there is gas overflow in the underground environment, the sensor can be replaced so that it cannot truly feedback the underground gas situation on the ground.

[0033] As the supervision of coal mine safety monitoring system alarms by regulatory authorities becomes increasingly strict, especially the alarms of underground methane sensors and carbon monoxide sensors, some alarms will be fined to coal mine enterprises after verification by regulatory authorities. Therefore, coal mine enterprises have increasingly strict requirements for the management of safety monitoring system alarms, and even require the monitoring system management and use departments in mines to achieve zero alarms for methane and carbon monoxide sensors.

[0034] Due to the harsh environment in some coal mines, after various gas emission measures are implemented as required, there are still some gas overflow or protrusion problems, which will cause the monitoring system sensor to alarm. However, the mine owners want to achieve the zero alarm target, and some personnel avoid alarms by replacing sensors when the gas is about to exceed the limit, such as the following:

[0035] like Figure 1 As shown, sensor A is installed at position T1. Position T1 is close to the return air corner. Gas at this position is easy to gather, and its sensor can most truly feedback the gas environment on the working face. Position T2 is close to the return air outlet of the working face. The methane overflowed from position T1 is diluted by other gases in the tunnel between T1 and T2. When it reaches position T2, the concentration is much lower than the alarm concentration at position T1. Therefore, when gas overflows on the working face, the monitoring value of sensor A will slowly rise, and its rising process is different from the situation where there is no gas overflow. At this time, the underground staff uses a method similar to 1-2) above to make the sensor at position T2 work instead of sensor A. As a result, the data of the sensor at position T1 will not have an over-limit alarm on the ground software. This operation method makes it impossible for managers to correctly perceive changes in the underground environment, which leads to wrong decisions and safety hazards.

[0036] Through the above-mentioned illegal and fraudulent methods of underground coal mine operators, the ground software monitoring data cannot truly reflect the underground situation. At present, various monitoring system software on the market cannot reflect the relevant illegal operation traces or effective evidence of fraud, so that some personnel of the mine evade supervision, resulting in prominent hidden dangers of underground safety working environment of coal mine enterprises. Therefore, the present invention identifies the above-mentioned fraudulent means through relevant technical methods, thereby marking or recording relevant illegal operations, and indirectly ensuring the safe production operation of coal mines.

[0037] In view of the above problem 1-1), a false identification method is proposed for the sensor calibration process, such as Figure 2 As shown, the present invention provides a method for identifying false alarms during the calibration process of underground coal mine sensors. A remote control probe is set on the sensor to be calibrated to detect the intervention data of the remote control, including the following steps:

[0038] S1. When the normal data of the sensor changes, the uploaded frame content includes: event switch and process data;

[0039] S2. When the sensor enters the remote control state, the uploaded frame content includes: event switch, process data, remote control function number and remote control key value;

[0040] S3, the ground software identifies the sensor remote control probe data, and parses the uploaded data, and obtains the sensor value generated by remote control according to the remote control function number and remote control key value data;

[0041] S4, judging that the calibration process is a fraudulent calibration of the remote controller;

[0042] S5. Remind the customer that this calibration is fraudulent.

[0043] The event switch includes: sensor remote control key value, sensor entry remote control and sensor process data. Process data is the data uploaded by the sensor normally, remote control function number is the function status of the remote control, remote control key value is the value input by the remote control button, and the remote control key value replaces the data uploaded by the sensor normally.

[0044] The event switch, remote control function number and remote control key value data are all 1 byte, and the process data is 2 bytes. In the event switch, when the sensor remote control key value, sensor entry remote control and sensor process data exist, the uploaded data is 1, and when they do not exist, the uploaded data is 0.

[0045] Since the sensor in the normal ventilation state does not need the intervention of the remote control, its data generation process is the sensor's spontaneous gas data monitoring process. The artificial fake data is controlled by the remote control to enter a certain function, and the parameters are adjusted to make the sensor simulate the data change trend of the standard gas sample. Therefore, a diagnostic probe for the sensor to enter each state and parameter adjustment of the remote control is added. When the sensor receives the signal from the remote control, it automatically identifies the remote control key value according to the protocol, and the sensor software automatically enters the corresponding remote control function according to the current state. At this time, the sensor adds a register probe to record the function state and data adjusted by the remote control, and then uploads it to the ground software through the bus channel via the transmission protocol, providing a basis for ground software identification and analysis.

[0046] The format of sensor upload data is shown in the following table:

[0047] When the sensor's normal data changes, the uploaded data frame content is: event switch and process data. For example, if the sensor uploads data 1, the data content is: 01 00 01.

[0048] When the sensor enters the remote control state and the analog value rises, the sensor data upload content is the event switch, process data, remote control function number and remote control key value. For example, the sensor remote control enters function 1 and remote control generates data 2, then the data content is: 03 00 02 01 02. The first byte 03 represents that there is sensor process data, the sensor enters the remote control state, and the sensor has a remote control key value. The second and third bytes are the sensor upload process data 2, the fourth byte is the remote control function 1, and the fifth byte is the remote control key value 2.

[0049] In view of the above problems 1-2), a false identification method is proposed in the sensor calibration process, such as Figure 3 As shown, the present invention provides a method for calibrating sensors in coal mines and identifying illegal operations of over-limit alarms, wherein the sensors in the mines are set at positions T1 and T2, T1 and T2 are set in the same tunnel, T1 is close to the return air corner, T2 is close to the return air outlet, the sensor at position T1 is set as sensor A, and the sensor at position T2 is set as sensor B, comprising the following steps:

[0050] S1. Determine whether sensor A at position T1 is disconnected. If so, determine whether a new sensor is connected. Assume that the newly connected sensor is sensor A1. Sensor A1 is set at position T2 or other position close to the return air outlet. The address and type of sensor A1 are consistent with those of sensor A.

[0051] S2. If there is a new sensor A1, determine whether the unique identification code of sensor A1 is consistent with that of sensor A. If not, determine that the sensor is replaced;

[0052] S3, calibrate sensor A1, after which sensor A1 is disconnected;

[0053] S4, after sensor A1 is disconnected, the original sensor A is connected to determine whether the calibration is fake;

[0054] S5. Remind the customer to recalibrate.

[0055] Since the fraud in the above problem 1-2) is carried out by replacing the sensor, in order to identify different sensors, the sensor needs to have a unique identification code. This unique identification code is provided by the unique code chip on the sensor. This unique code cannot be modified and is 16 bytes of data. The unique identification code of the sensor communicates with the MCU through IIC communication. IIC reads the unique identification code, records it in the sensor register after reading, and then uploads it to the ground software through bus communication.

[0056] The ground software will record the access process during the sensor replacement process. When the sensor is connected to the system, the ground software will read the sensor's unique identification code and record it. When the unique identification code of the newly connected sensor is inconsistent with the last sensor of the same type at the same location connected to the system, the access can be marked as a sensor replacement behavior.

[0057] Since the downhole sensors have a normal maintenance and replacement process, the ground software's recognition of sensor replacement cannot be considered a fraudulent act. However, for the above-mentioned problem 1-2), sensor A at position T1 is disconnected first. After sensor A is disconnected, the replaced sensor A1 is connected, and sensor A1 begins to be calibrated. After the calibration, sensor A1 is withdrawn from the system, and sensor A is replaced again.

[0058] For the above problem 2, the sensor is about to exceed the limit and the sensor replacement identification method is as follows: Figure 4 As shown, the present invention provides a method for calibrating sensors in coal mines and identifying illegal operations of over-limit alarms, wherein the sensors in the mines are set at positions T1 and T2, T1 and T2 are set in the same tunnel, T1 is close to the return air corner, T2 is close to the return air outlet, the sensor at position T1 is set as sensor A, and the sensor at position T2 is set as sensor B, comprising the following steps:

[0059] S0, determine whether the data of sensor A has a sudden change or is about to alarm;

[0060] S1. Determine whether sensor A at position T1 is disconnected. If so, determine whether a new sensor is connected. Assume that the newly connected sensor is sensor A1. Sensor A1 is set at position T2 or other position close to the return air outlet. The address and type of sensor A1 are consistent with those of sensor A.

[0061] S2. If there is a new sensor A1, determine whether the unique identification code of sensor A1 is consistent with that of sensor A. If not, determine that the sensor is replaced;

[0062] S3', determine whether the data of sensor A1 is consistent with the data of sensor B;

[0063] S4', if they are consistent, it is determined as an act of avoiding over-limit alarm;

[0064] S5. Remind the customer that the over-limit alarm is false.

[0065] Since sensor replacement cannot be considered as fraudulent behavior, but sensor A at position T1 had a data increase process that was different from normal before being replaced, the software can determine the abnormal process of sensor data mutation. The concentration value of the sensor under normal conditions is basically maintained within a certain range. For example, the methane sensor maintains a value between 0.00 and 0.10 under normal circumstances. When the underground gas overflows, the sensor data changes greatly, and its value will rise from 0.10 to close to 0.8 (0.8 is generally the alarm value set by the mine). Therefore, the software determines the sensor is approaching an alarm by determining the sudden change or increase of sensor data within a certain period of time.

[0066] Since sensor A is replaced with A1, and A1 is set at T2, the value of sensor A1 is consistent with the data change trend of the sensor installed at T2. The software analyzes whether the data range and change trend of sensor A1 are consistent with those of the sensor installed at T2.

[0067] By analyzing the above-mentioned changes, the ground software can identify the sensor replacement fraud behavior, thereby marking the incident and reminding the customer to handle it.

[0068] In summary, the coal mine underground sensor calibration, over-limit alarm and illegal operation identification method of the present invention can automatically identify the illegal operation or fraud method of the underground operator, provide technical means for the regulatory department, greatly reduce the safety production risk caused by illegal operation of coal mine enterprises underground, and indirectly ensure the safe production working environment of coal mines underground. At the same time, the present invention can also provide technical protection for monitoring system manufacturers to prevent the problem of unclear division of responsibilities when accidents occur.

[0069] The various devices selected in this application are all universal standard parts or parts known to those skilled in the art, and their structures and principles can be known to those skilled in the art through technical manuals or conventional experimental methods.

[0070] In the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0071] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0072] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for identifying false alarms during the calibration process of underground coal mine sensors, wherein a remote control probe is arranged on the sensor to be calibrated to detect the intervention data of the remote control, characterized in that: The following steps are involved: S1. When the normal data of the sensor changes, the uploaded frame content includes: event switch and process data; S2. When the sensor enters the remote control state, the uploaded frame content includes: event switch, process data, remote control function number and remote control key value; S3, the ground software identifies the sensor remote control probe data, and parses the uploaded data, and obtains the sensor value generated by remote control according to the remote control function number and remote control key value data; S4. It is determined that the calibration process was artificially falsified by the remote control calibration.

2. The method for identifying fraud in the calibration process of underground coal mine sensors according to claim 1, characterized in that: Event switches include: sensor remote control key value, sensor entry remote control, and sensor process data.

3. The method for identifying fraud in the calibration process of underground coal mine sensors according to claim 2, characterized in that: The process data is the data normally uploaded by the sensor, the remote control function number is the functional status of the remote control, the remote control key value is the numerical value input by the remote control button, and the remote control key value replaces the data normally uploaded by the sensor.

4. The method for identifying fraud in the calibration process of underground coal mine sensors according to claim 1, characterized in that: The event switch, the remote control function number and the remote control key value data are all 1 byte, and the process data is 2 bytes.

5. The method for identifying fraud in the sensor calibration process in underground coal mines according to claim 2, characterized in that: In the event switch, when there is a sensor remote control key value, a sensor entering the remote control, and a sensor process data, the uploaded data is 1, and when it does not exist, the uploaded data is 0.

6. The method for identifying fraud in the calibration process of underground coal mine sensors according to claim 1, characterized in that: Also includes: S5. Remind the customer that this calibration is fraudulent.

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