Real-time online monitoring system of coal conveying system

Abstract

The invention provides a real-time on-line monitoring system of a coal conveying system, which relates to the field of fire coal conveying and comprises a data acquisition module used for acquiring data monitoring information of a plurality of monitoring points arranged on main equipment of the coal conveying system; the data transmission module is used for transmitting data monitoring information of the monitoring points to the monitoring center; the monitoring center is used for receiving the data monitoring information of each monitoring point, determining whether dangerous data monitoring information appears or not, analyzing the dangerous data monitoring information to determine an evaluation result, generating hidden danger information when the evaluation result shows that hidden danger exists, and sending the hidden danger information to the monitoring center after the hidden danger information is generated, and executing a corresponding hidden danger processing scheme based on the hidden danger information and performing hidden danger alarm. The monitoring information of the coal conveying system is obtained in real time, the hidden danger is alarmed in time, the hidden danger processing scheme is executed, the influence of the hidden danger on the coal conveying system is reduced, maintenance is conducted in time, and therefore safe operation of the coal conveying system is ensured, and the coal conveying effect is guaranteed.

Description

Technical Field

[0001] The invention relates to the technical field of coal transportation, and in particular to a real-time online monitoring system for a coal transportation system. Background Art

[0002] The coal transportation system of a coal-fired power plant occupies about 1 / 3 of the entire plant area, with long lines and numerous equipment. The main equipment configurations of the coal transportation system of a traditional thermal power plant include: coal storage yard, coal feeder, belt conveyor, roller screen, coal crusher, dust collector, sampling device, dumper, bucket wheel excavator, etc.

[0003] There are many rotating electromechanical equipment in the coal transportation system. Due to long-term operation, the existing online monitoring system is limited to the start and stop of the equipment and whether it is in a fault state. Hidden dangers are detected through manual inspections, which are time-consuming and have long cycle intervals. In summary, it is impossible to carry out targeted prevention in the early stage of hidden dangers. Summary of the invention

[0004] The present invention provides a real-time online monitoring system for a coal conveying system, which is used to solve the defect in the prior art that targeted prevention cannot be carried out in time at the early stage of a fault.

[0005] In one aspect, the present invention provides a real-time online monitoring system for a coal transportation system, comprising:

[0006] A data acquisition module is used to collect data monitoring information from several monitoring points set on the main equipment of the coal transportation system;

[0007] A data transmission module, used to transmit the data monitoring information of the monitoring point to the monitoring center;

[0008] The monitoring center is used to receive data monitoring information from each monitoring point, determine whether there is any dangerous data monitoring information, and determine the evaluation result by analyzing the dangerous data monitoring information. The evaluation result includes whether there is a hidden danger or not. When the evaluation result is that there is a hidden danger, the hidden danger information is generated. The hidden danger information includes the hidden danger location, hidden danger type and hidden danger severity;

[0009] The alarm module, when hidden danger information is generated, executes the corresponding hidden danger treatment plan based on the hidden danger information and issues a hidden danger alarm.

[0010] Preferably, the monitoring center includes:

[0011] A data receiving unit, used to receive data monitoring information of each monitoring point;

[0012] A data monitoring unit, used to monitor whether there is dangerous data monitoring information;

[0013] An evaluation and analysis unit, when there is dangerous data monitoring information, analyzes the dangerous data monitoring information to obtain an evaluation result;

[0014] The information generating unit generates hidden danger information based on the dangerous data monitoring information when the assessment result shows that there is a hidden danger.

[0015] Preferably, the evaluation and analysis unit includes:

[0016] A data extraction subunit, used to extract dangerous data monitoring information and its associated data monitoring information;

[0017] An assessment calculation subunit, used to calculate hidden danger assessment parameters;

[0018]

[0019] Among them, P is the hidden danger assessment parameter; M is the total number of dangerous data monitoring information; σ1 and σ2 are the weighting coefficients of dangerous data monitoring information and associated data monitoring information respectively; U i is the actual value of the ith hazardous data monitoring information; U imax is the maximum value of the data allowed range corresponding to the i-th hazardous data monitoring information; U imin is the minimum value of the data allowed range corresponding to the i-th dangerous data monitoring information; N i is the total number of associated data monitoring information corresponding to the ith dangerous data monitoring information; U ij is the actual value of the jth associated data monitoring information corresponding to the i-th dangerous data monitoring information; L (ij,i) is the distance between the monitoring point corresponding to the ith hazardous data monitoring information and the monitoring point of the jth associated data monitoring information corresponding to the ith hazardous data monitoring information; L0 is the unit distance; Z is the number of times the device generating the hazardous data monitoring information has generated hazardous data monitoring information in history; Z0 is the classification basis for the number of times the hazardous data monitoring information has been generated in history; ln is a logarithmic function with e as the base; e is a natural base; A is the service life of the device generating the hazardous data monitoring information; A0 is the theoretical life of the device generating the hazardous data monitoring information; C x The time without hidden dangers before the generation of dangerous data monitoring information; C s The time without hidden dangers before the sth generation of dangerous data monitoring information;

[0020] The result output subunit, when the hidden danger assessment parameter is greater than or equal to the preset first threshold, the assessment result is that there is a hidden danger; when the hidden danger assessment parameter is less than the preset first threshold, the assessment result is that there is no hidden danger.

[0021] Preferably, the information generating unit includes:

[0022] A location determination subunit, used to determine the hidden danger location according to the setting location of the monitoring point corresponding to the dangerous data monitoring information;

[0023] A category determination subunit is used to determine the category of hidden dangers based on the hazard data monitoring information;

[0024] Severity determination subunit, used to calculate the severity of hidden dangers:

[0025]

[0026] Among them, G is the severity of hidden danger; U i is the actual value of the ith hazardous data monitoring information; U imax is the maximum value of the data allowed range corresponding to the i-th hazardous data monitoring information; U imin is the minimum value of the data allowable range corresponding to the i-th dangerous data monitoring information; U i0 is the classification basis of the data type corresponding to the i-th dangerous data monitoring information; max is the maximum value function; is the ceiling function.

[0027] Preferably, the hidden danger alarm includes regional alarm and remote alarm, and the alarm module includes:

[0028] An automatic processing unit, when hidden danger information is generated, automatically executes a corresponding hidden danger processing plan based on the hidden danger information;

[0029] The regional alarm unit performs regional alarm in the corresponding hidden danger area based on the hidden danger information. The regional alarm is to broadcast the hidden danger information in the hidden danger area corresponding to the hidden danger position;

[0030] The terminal alarm unit executes a remote alarm to the corresponding remote receiving terminal based on the hidden danger information. The remote alarm is to send the hidden danger information to the corresponding remote receiving terminal.

[0031] Preferably, the workflow of the terminal alarm unit is:

[0032] Step S1, obtaining a list of remote receiving terminals corresponding to the hidden danger area based on the hidden danger location;

[0033] Step S2, based on the severity of the hidden danger, filtering out a target remote receiving terminal list from the remote receiving terminal list corresponding to the hidden danger area;

[0034] Step S3: Send hidden danger information to the remote receiving terminals in the target remote receiving terminal list.

[0035] Preferably, a maintenance planning module is also included, and the maintenance planning module includes:

[0036] The trigger unit controls the plan generation unit to work when a hidden danger occurs;

[0037] A judgment unit is used to regularly judge whether there is a maintenance plan currently. If there is no maintenance plan currently, no action is taken. If there is a maintenance plan currently, the control plan generation unit works;

[0038] A plan generating unit, used for generating a maintenance plan, and if a maintenance plan currently exists, using the generated maintenance plan to overwrite the existing maintenance plan;

[0039] The plan deletion unit is used to delete the maintenance plan after the maintenance plan is executed.

[0040] Preferably, the maintenance plan includes maintenance time, maintenance content and activation status of spare equipment, and the plan generation unit includes:

[0041] A maintenance time determination subunit is used to determine the maintenance time based on the severity of the hidden danger. The maintenance time includes immediate maintenance and planned maintenance.

[0042]

[0043] Among them, V is the first discriminant parameter; B is the total number of current hidden dangers; G k is the severity of the kth hidden danger; θ k is the calculation coefficient corresponding to the hidden danger type of the kth hidden danger;

[0044] When the first discrimination parameter is greater than or equal to the preset second threshold, the maintenance time is immediate maintenance; when the first discrimination parameter is less than the preset second threshold, the maintenance time is planned maintenance;

[0045] The maintenance content determination subunit determines the maintenance content based on the current hidden dangers;

[0046] A standby device use subunit is used to determine the standby device activation status;

[0047]

[0048] Among them, H is the second discriminant parameter, max is the maximum value function; ln is the logarithmic function with e as the base; e is the natural base; D k is the service life of the equipment corresponding to the kth hidden danger; D0 is the classification basis of service life; G k is the severity of the kth hidden danger; T k is the reference maintenance time of the kth hidden danger according to the historical maintenance time; G k0 is the reference hidden danger severity corresponding to the reference maintenance time of the kth hidden danger; μ is the calculation coefficient of the influence of weather conditions on the maintenance speed; F Lis the predicted weather assessment index on the Lth day from the start of maintenance; F0 is the danger threshold of the weather assessment index; is the preparation time of spare parts required to repair the kth hidden danger; B is the total number of current hidden dangers; τ is the calculation coefficient of the impact of the number of hidden dangers on the total maintenance time; Y1 is the economic loss per unit time caused by the shutdown of the coal transportation system; Y2 is the operating cost per unit time during the operation of the standby equipment; Y3 is the startup cost of the standby equipment; T0 is the unit time;

[0049] When the second discrimination parameter is greater than 0, the backup device is enabled; when the second discrimination parameter is less than or equal to 0, the backup device is not enabled;

[0050] The data writing subunit is used to write the maintenance time, maintenance content and activation status of spare equipment into the preset maintenance plan template to generate a maintenance plan. When a maintenance plan already exists, the generated maintenance plan is used to overwrite the existing maintenance plan.

[0051] Compared with the prior art, the present invention has the following beneficial effects:

[0052] By setting up several monitoring points on the main equipment of the coal transportation system, real-time monitoring information of the main equipment of the coal transportation system can be obtained. When data deviation occurs in the main equipment of the coal transportation system, hidden dangers can be discovered in time. Before the hidden dangers continue to develop and cause failures, the hidden dangers can be alarmed in time and the hidden danger handling plan can be automatically executed, reducing the impact of hidden dangers on the coal transportation system and reminding staff to carry out maintenance in time, thereby ensuring that the coal transportation system operates under safe conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0054] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] In addition, in the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes, and do not specifically refer to the order or sequence, nor are they used to limit the present invention. They are only used to distinguish components or operations described with the same technical terms, and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions and technical features between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0057] Example 1

[0058] The embodiment of the present invention provides a real-time online monitoring system for a coal transportation system, comprising:

[0059] A data acquisition module is used to collect data monitoring information from several monitoring points set on the main equipment of the coal transportation system;

[0060] A data transmission module, used to transmit the data monitoring information of the monitoring point to the monitoring center;

[0061] The monitoring center is used to receive data monitoring information from each monitoring point, determine whether there is any dangerous data monitoring information, and determine the evaluation result by analyzing the dangerous data monitoring information. The evaluation result includes whether there is a hidden danger or not. When the evaluation result is that there is a hidden danger, the hidden danger information is generated. The hidden danger information includes the hidden danger location, hidden danger type and hidden danger severity;

[0062] The alarm module, when hidden danger information is generated, executes the corresponding hidden danger treatment plan based on the hidden danger information and issues a hidden danger alarm.

[0063] In this embodiment, the main equipment of the coal conveying system includes: a motor, a reducer, and a drum.

[0064] In this embodiment, the data monitoring information includes: the temperature and vibration value of the monitoring point.

[0065] In this embodiment, the dangerous data monitoring information is data monitoring information that exceeds the corresponding data allowable range.

[0066] The beneficial effects of the above technical solution are:

[0067] By setting up several monitoring points on the main equipment, it is possible to promptly determine whether there are hidden dangers in the main equipment. When hidden dangers are found, an alarm will be issued in a timely manner to remind the staff to carry out maintenance in a timely manner, and then the hidden dangers will be eliminated in time at the early stage of their occurrence, thereby ensuring that the coal transportation system remains in operation under safe conditions, thereby extending the service life of the equipment, reducing maintenance costs, avoiding the coal transportation system from stopping due to faults, and ensuring the safe operation of the coal transportation system.

[0068] Example 2

[0069] Based on Example 1, the monitoring center includes:

[0070] A data receiving unit, used to receive data monitoring information of each monitoring point;

[0071] A data monitoring unit, used to monitor whether there is dangerous data monitoring information;

[0072] An evaluation and analysis unit, when there is dangerous data monitoring information, analyzes the dangerous data monitoring information to obtain an evaluation result;

[0073] The information generating unit generates hidden danger information based on the dangerous data monitoring information when the assessment result shows that there is a hidden danger.

[0074] Preferably, the evaluation and analysis unit includes:

[0075] A data extraction subunit, used to extract dangerous data monitoring information and its associated data monitoring information;

[0076] An assessment calculation subunit, used to calculate hidden danger assessment parameters;

[0077]

[0078] Among them, P is the hidden danger assessment parameter; M is the total number of dangerous data monitoring information; σ1 and σ2 are the weighting coefficients of dangerous data monitoring information and associated data monitoring information respectively; U i is the actual value of the ith hazardous data monitoring information; U imax is the maximum value of the data allowed range corresponding to the i-th hazardous data monitoring information; U imin is the minimum value of the data allowed range corresponding to the i-th dangerous data monitoring information; N i is the total number of associated data monitoring information corresponding to the ith dangerous data monitoring information; U ij is the actual value of the jth associated data monitoring information corresponding to the i-th dangerous data monitoring information; L (ij,i)is the distance between the monitoring point corresponding to the ith hazardous data monitoring information and the monitoring point of the jth associated data monitoring information corresponding to the ith hazardous data monitoring information; L0 is the unit distance; Z is the number of times the device generating the hazardous data monitoring information has generated hazardous data monitoring information in history; Z0 is the classification basis for the number of times the hazardous data monitoring information has been generated in history; ln is a logarithmic function with e as the base; e is a natural base; A is the service life of the device generating the hazardous data monitoring information; A0 is the theoretical life of the device generating the hazardous data monitoring information; C x The time without hidden dangers before the generation of dangerous data monitoring information; C s The time without hidden dangers before the sth generation of dangerous data monitoring information;

[0079] The result output subunit, when the hidden danger assessment parameter is greater than or equal to the preset first threshold, the assessment result is that there is a hidden danger; when the hidden danger assessment parameter is less than the preset first threshold, the assessment result is that there is no hidden danger.

[0080] Preferably, the information generating unit includes:

[0081] A location determination subunit, used to determine the hidden danger location according to the setting location of the monitoring point corresponding to the dangerous data monitoring information;

[0082] A category determination subunit is used to determine the category of hidden dangers based on the hazard data monitoring information;

[0083] Severity determination subunit, used to calculate the severity of hidden dangers:

[0084]

[0085] Among them, G is the severity of hidden danger; U i is the actual value of the ith hazardous data monitoring information; U imax is the maximum value of the data allowed range corresponding to the i-th hazardous data monitoring information; U imin is the minimum value of the data allowable range corresponding to the i-th dangerous data monitoring information; U i0 is the classification basis of the data type corresponding to the i-th dangerous data monitoring information; max is the maximum value function; is the ceiling function.

[0086] In this embodiment, the associated data monitoring information is data monitoring information that is associated with the dangerous data monitoring information, that is, the same type of data monitoring information of all monitoring points on the same device. For example, if the dangerous data monitoring information is the temperature of a monitoring point on a motor, then the associated data monitoring information is the temperature of all monitoring points on the motor.

[0087] In this embodiment, the risk-free time period is the time interval from the last time the risk data monitoring information was generated to the current time the risk data monitoring information was generated.

[0088] In this embodiment, the types of hidden dangers include: excessive temperature and excessive vibration.

[0089] The beneficial effects of the above technical solution are:

[0090] By real-time monitoring of the data monitoring information of each monitoring point, when the data monitoring information exceeds the corresponding data allowable range (that is, it becomes dangerous data monitoring information), timely evaluation is carried out to determine whether the dangerous data monitoring information is caused by hidden dangers (excluding data detection anomalies caused by detection equipment failure, normal data fluctuations of working equipment, etc.), and hidden danger information is generated based on the dangerous data monitoring information. By calculating the severity of the hidden danger, the severity of the hidden danger can be intuitively reflected; it is convenient for the targeted elimination of hidden dangers, avoids the waste of maintenance resources, and reduces the workload of staff.

[0091] Example 3

[0092] Based on the embodiment 1 or 2, the hidden danger alarm includes a regional alarm and a remote alarm, and the alarm module includes:

[0093] An automatic processing unit, when hidden danger information is generated, automatically executes a corresponding hidden danger processing plan based on the hidden danger information;

[0094] The regional alarm unit performs regional alarm in the corresponding hidden danger area based on the hidden danger information. The regional alarm is to broadcast the hidden danger information in the hidden danger area corresponding to the hidden danger position;

[0095] The terminal alarm unit executes a remote alarm to the corresponding remote receiving terminal based on the hidden danger information. The remote alarm is to send the hidden danger information to the corresponding remote receiving terminal.

[0096] Preferably, the workflow of the terminal alarm unit is:

[0097] Step S1, obtaining a list of remote receiving terminals corresponding to the hidden danger area based on the hidden danger location;

[0098] Step S2, based on the severity of the hidden danger, filtering out a target remote receiving terminal list from the remote receiving terminal list corresponding to the hidden danger area;

[0099] Step S3: Send hidden danger information to the remote receiving terminals in the target remote receiving terminal list.

[0100] In this embodiment, the remote receiving terminal includes a mobile phone, a tablet and a computer that can connect to a wireless network.

[0101] In this embodiment, the hidden danger handling solution is an automatic handling solution corresponding to the hidden danger stored in advance, which is used to slow down the deterioration rate of the hidden danger. For example, when the surface temperature of the device is too high, the ventilation volume at the position with too high temperature is increased.

[0102] In this embodiment, the hidden danger area is the area where the hidden danger position is located.

[0103] The beneficial effects of the above technical solution are:

[0104] After the hidden danger information is generated, the corresponding hidden danger handling plan is automatically executed to slow down the deterioration rate of the hidden danger, and the impact of the hidden danger on the coal transportation system before maintenance is reduced, thereby providing sufficient buffer time for eliminating the hidden danger. By performing regional alarms, the staff in the hidden danger area are reminded to execute the response plan for the hidden danger (go to the hidden danger location to handle the hidden danger or evacuate the hidden danger area), evacuate irrelevant staff in the hidden danger area, and remind staff with maintenance capabilities to carry out maintenance as soon as possible, thereby improving the hidden danger handling speed. By performing remote alarms, it can be ensured that the staff will receive the hidden danger information in time no matter where they are, so that the hidden danger can be handled in time, which improves the hidden danger handling speed. By screening the hidden danger area and the severity of the hidden danger, it is ensured that the hidden danger information can be sent to the appropriate remote receiving terminal according to the situation, ensuring the accurate sending of the hidden danger information and avoiding the full coverage of the hidden danger information. The staff will receive a large amount of irrelevant hidden danger information, resulting in low sensitivity of the staff to the hidden danger information, affecting the reaction speed of the hidden danger handling.

[0105] Example 4

[0106] Based on any one of embodiments 1-3, a maintenance planning module is further included, and a maintenance planning module is further included, the maintenance planning module includes:

[0107] The trigger unit controls the plan generation unit to work when a hidden danger occurs;

[0108] A judgment unit is used to regularly judge whether there is a maintenance plan currently. If there is no maintenance plan currently, no action is taken. If there is a maintenance plan currently, the control plan generation unit works;

[0109] A plan generating unit, used for generating a maintenance plan, and if a maintenance plan currently exists, using the generated maintenance plan to overwrite the existing maintenance plan;

[0110] The plan deletion unit is used to delete the maintenance plan after the maintenance plan is executed.

[0111] Preferably, the maintenance plan includes maintenance time, maintenance content and activation status of spare equipment, and the plan generation unit includes:

[0112] A maintenance time determination subunit is used to determine the maintenance time based on the severity of the hidden danger. The maintenance time includes immediate maintenance and planned maintenance.

[0113]

[0114] Among them, V is the first discriminant parameter; B is the total number of current hidden dangers; G k is the severity of the kth hidden danger; θ k is the calculation coefficient corresponding to the hidden danger type of the kth hidden danger (the value is greater than 0 and less than 1);

[0115] When the first discrimination parameter is greater than or equal to the preset second threshold, the maintenance time is immediate maintenance; when the first discrimination parameter is less than the preset second threshold, the maintenance time is planned maintenance;

[0116] The maintenance content determination subunit determines the maintenance content based on the current hidden dangers;

[0117] A standby device use subunit is used to determine the standby device activation status;

[0118]

[0119] Among them, H is the second discriminant parameter, max is the maximum value function; ln is the logarithmic function with e as the base; e is the natural base; D k is the service life of the equipment corresponding to the kth hidden danger; D0 is the classification basis of service life; G k is the severity of the kth hidden danger; T k is the reference maintenance time of the kth hidden danger according to the historical maintenance time; G k0 is the reference hidden danger severity corresponding to the reference maintenance time of the kth hidden danger; μ is the calculation coefficient of the influence of weather conditions on the maintenance speed (the value is greater than 1); F L is the predicted weather assessment index on the Lth day from the start of maintenance; F0 is the danger threshold of the weather assessment index; is the preparation time of spare parts required to repair the kth hidden danger; B is the total number of current hidden dangers; τ is the calculation coefficient of the impact of the number of hidden dangers on the total maintenance time (the value is greater than 0 and less than 1); Y1 is the economic loss per unit time caused by the shutdown of the coal transportation system; Y2 is the operating cost per unit time during the operation of the standby equipment; Y3 is the startup cost of the standby equipment; T0 is the unit time;

[0120] When the second discrimination parameter is greater than 0, the backup device is enabled; when the second discrimination parameter is less than or equal to 0, the backup device is not enabled;

[0121] The data writing subunit is used to write the maintenance time, maintenance content and activation status of spare equipment into the preset maintenance plan template to generate a maintenance plan. When a maintenance plan already exists, the generated maintenance plan is used to overwrite the existing maintenance plan.

[0122] In this embodiment, immediate maintenance refers to immediate maintenance of the coal transportation system; planned maintenance refers to maintenance of the coal transportation system at a preset daily maintenance time.

[0123] In this embodiment, the reference maintenance time is obtained based on the analysis of the historical maintenance time of this type of hidden danger. When the hidden danger severity of the hidden danger is the reference hidden danger severity, the estimated maintenance time is the reference maintenance time.

[0124] In this embodiment, the weather assessment index is data for assessing weather conditions, and is obtained by looking up a table based on the weather forecast for the day.

[0125] The beneficial effects of the above technical solution are:

[0126] When hidden dangers occur, maintenance is planned by generating a maintenance plan to ensure the orderliness of maintenance and reduce the impact of the maintenance process on the operation of the coal transportation system; when a maintenance plan exists, it is ensured that the hidden danger situation is controlled by regenerating the maintenance plan regularly, ensuring that the hidden danger is within the controllable range and avoiding the deterioration of hidden dangers to affect the coal transportation system. By updating the maintenance plan, it is ensured that only one maintenance plan exists at the same time, ensuring that all hidden dangers can be repaired in one maintenance, avoiding frequent maintenance of the coal transportation system due to lack of information concentration, affecting the normal maintenance cycle, and affecting the working effect of the coal transportation system.

[0127] When determining the maintenance time, the severity of all currently existing hidden dangers is comprehensively considered, and the severity of all hidden dangers is weightedly calculated according to the corresponding calculation coefficient to obtain the first discrimination parameter, thereby reflecting the hidden danger situation of the current coal transportation system. When the hidden danger situation is not serious, the coal transportation system is repaired at the pre-set daily maintenance time to reduce unplanned shutdown of the coal transportation system and ensure the operation effect of the coal transportation system. When the hidden danger situation is more serious, the coal transportation system is repaired immediately to avoid damage to the coal transportation system due to the deterioration of the hidden danger, thereby causing greater economic losses.

[0128] When repairing, The longest repair time of all existing hidden dangers is obtained, and the influence of the number of hidden dangers on the hidden danger repair time is corrected by (1+τB), so as to obtain the estimated maintenance time. According to (Y1-Y2), the difference between the economic loss caused by the shutdown of the coal transportation system avoided by activating the backup equipment during the maintenance process and the operating cost of the backup equipment is calculated, and the economic benefit generated by the backup equipment per unit time is obtained. Then, the startup cost of the backup equipment is subtracted to obtain the estimated economic benefit of activating the backup equipment during this maintenance process. When the economic benefit is negative, it means that the cost of activating the backup equipment is high and not cost-effective. When the economic benefit is positive, it means that activating the backup equipment can effectively reduce the economic loss caused by the maintenance process. By calculating the second discrimination parameter, reliable data support is provided for determining the activation of the backup equipment, thereby ensuring the economy of activating the backup equipment.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A real-time online monitoring system for a coal transportation system, characterized in that: include: A data acquisition module is used to collect data monitoring information from several monitoring points set on the main equipment of the coal transportation system; A data transmission module, used to transmit the data monitoring information of the monitoring point to the monitoring center; The monitoring center is used to receive data monitoring information from each monitoring point, determine whether there is any dangerous data monitoring information, and determine the evaluation result by analyzing the dangerous data monitoring information. The evaluation result includes whether there is a hidden danger or not. When the evaluation result is that there is a hidden danger, the hidden danger information is generated. The hidden danger information includes the hidden danger location, hidden danger type and hidden danger severity; The alarm module, when hidden danger information is generated, executes the corresponding hidden danger treatment plan based on the hidden danger information and issues a hidden danger alarm.

2. A real-time online monitoring system for a coal transportation system according to claim 1, characterized in that: The monitoring centers include: A data receiving unit, used to receive data monitoring information of each monitoring point; A data monitoring unit, used to monitor whether there is dangerous data monitoring information; An evaluation and analysis unit, when there is dangerous data monitoring information, analyzes the dangerous data monitoring information to obtain an evaluation result; The information generating unit generates hidden danger information based on the dangerous data monitoring information when the assessment result shows that there is a hidden danger.

3. A real-time online monitoring system for a coal transportation system according to claim 2, characterized in that: The evaluation and analysis units include: A data extraction subunit, used to extract dangerous data monitoring information and its associated data monitoring information; An assessment calculation subunit, used to calculate hidden danger assessment parameters; Among them, P is the hidden danger assessment parameter; M is the total number of dangerous data monitoring information; σ1 and σ2 are the weighting coefficients of dangerous data monitoring information and associated data monitoring information respectively; U i is the actual value of the ith hazardous data monitoring information; U imax is the maximum value of the data allowed range corresponding to the i-th hazardous data monitoring information; U imin is the minimum value of the data allowed range corresponding to the i-th dangerous data monitoring information; N i is the total number of associated data monitoring information corresponding to the ith dangerous data monitoring information; U ij is the actual value of the jth associated data monitoring information corresponding to the i-th dangerous data monitoring information; L (ij,i) is the distance between the monitoring point corresponding to the ith hazardous data monitoring information and the monitoring point of the jth associated data monitoring information corresponding to the ith hazardous data monitoring information; L0 is the unit distance; Z is the number of times the device generating the hazardous data monitoring information has generated hazardous data monitoring information in history; Z0 is the classification basis for the number of times the hazardous data monitoring information has been generated in history; ln is a logarithmic function with e as the base; e is a natural base; A is the service life of the device generating the hazardous data monitoring information; A0 is the theoretical life of the device generating the hazardous data monitoring information; C x The time without hidden dangers before the generation of dangerous data monitoring information; C s The time without hidden dangers before the sth generation of dangerous data monitoring information; The result output subunit, when the hidden danger assessment parameter is greater than or equal to the preset first threshold, the assessment result is that there is a hidden danger; when the hidden danger assessment parameter is less than the preset first threshold, the assessment result is that there is no hidden danger.

4. A real-time online monitoring system for a coal transportation system according to claim 2, characterized in that: The information generation unit includes: A location determination subunit, used to determine the hidden danger location according to the setting location of the monitoring point corresponding to the dangerous data monitoring information; A category determination subunit is used to determine the category of hidden dangers based on the hazard data monitoring information; Severity determination subunit, used to calculate the severity of hidden dangers: Among them, G is the severity of hidden danger; U i is the actual value of the ith hazardous data monitoring information; U imax is the maximum value of the data allowed range corresponding to the i-th hazardous data monitoring information; U imin is the minimum value of the data allowed range corresponding to the i-th dangerous data monitoring information; U i0 is the classification basis of the data type corresponding to the i-th dangerous data monitoring information; max is the maximum value function; is the ceiling function.

5. A real-time online monitoring system for a coal transportation system according to claim 1, characterized in that: Hidden danger alarm includes regional alarm and remote alarm. The alarm module includes: An automatic processing unit, when hidden danger information is generated, automatically executes a corresponding hidden danger processing plan based on the hidden danger information; The regional alarm unit performs regional alarm in the corresponding hidden danger area based on the hidden danger information. The regional alarm is to broadcast the hidden danger information in the hidden danger area corresponding to the hidden danger position; The terminal alarm unit executes a remote alarm to the corresponding remote receiving terminal based on the hidden danger information. The remote alarm is to send the hidden danger information to the corresponding remote receiving terminal.

6. A real-time online monitoring system for a coal transportation system according to claim 5, characterized in that: The working process of the terminal alarm unit is: Step S1, obtaining a list of remote receiving terminals corresponding to the hidden danger area based on the hidden danger location; Step S2, based on the severity of the hidden danger, filtering out a target remote receiving terminal list from the remote receiving terminal list corresponding to the hidden danger area; Step S3: Send hidden danger information to the remote receiving terminals in the target remote receiving terminal list.

7. A real-time online monitoring system for a coal transportation system according to claim 4, characterized in that: It also includes a maintenance planning module, which includes: The trigger unit controls the plan generation unit to work when a hidden danger occurs; A judgment unit is used to regularly judge whether there is a maintenance plan currently. If there is no maintenance plan currently, no action is taken. If there is a maintenance plan currently, the control plan generation unit works; A plan generating unit, used for generating a maintenance plan, and if a maintenance plan currently exists, using the generated maintenance plan to overwrite the existing maintenance plan; The plan deletion unit is used to delete the maintenance plan after the maintenance plan is executed.

8. A real-time online monitoring system for a coal transportation system according to claim 7, characterized in that: The maintenance plan includes maintenance time, maintenance content and activation of spare equipment. The plan generation unit includes: A maintenance time determination subunit is used to determine the maintenance time based on the severity of the hidden danger. The maintenance time includes immediate maintenance and planned maintenance. Among them, V is the first discriminant parameter; B is the total number of current hidden dangers; G k is the severity of the kth hidden danger; θ k is the calculation coefficient corresponding to the hidden danger type of the kth hidden danger; When the first discrimination parameter is greater than or equal to the preset second threshold, the maintenance time is immediate maintenance; when the first discrimination parameter is less than the preset second threshold, the maintenance time is planned maintenance; The maintenance content determination subunit determines the maintenance content based on the current hidden dangers; A standby device use subunit is used to determine the standby device activation status; Among them, H is the second discriminant parameter, max is the maximum value function; ln is the logarithmic function with e as the base; e is the natural base; D k is the service life of the equipment corresponding to the kth hidden danger; D0 is the classification basis of service life; G k is the severity of the kth hidden danger; T k is the reference maintenance time of the kth hidden danger according to the historical maintenance time; G k0 is the reference hidden danger severity corresponding to the reference maintenance time of the kth hidden danger; μ is the calculation coefficient of the influence of weather conditions on the maintenance speed; F L is the predicted weather assessment index on the Lth day from the start of maintenance; F0 is the danger threshold of the weather assessment index; is the preparation time of spare parts required to repair the kth hidden danger; B is the total number of current hidden dangers; τ is the calculation coefficient of the impact of the number of hidden dangers on the total maintenance time; Y1 is the economic loss per unit time caused by the shutdown of the coal transportation system; Y2 is the operating cost per unit time during the operation of the standby equipment; Y3 is the startup cost of the standby equipment; T0 is the unit time; When the second discrimination parameter is greater than 0, the backup device is enabled; when the second discrimination parameter is less than or equal to 0, the backup device is not enabled; The data writing subunit is used to write the maintenance time, maintenance content and activation status of spare equipment into the preset maintenance plan template to generate a maintenance plan. When a maintenance plan already exists, the generated maintenance plan is used to overwrite the existing maintenance plan.

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