[0037] The technical solutions of the present invention will be described below in conjunction with examples, as will be described, as described herein, only the embodiments of the invention, not all embodiments. Based on the embodiments of the present invention, those of ordinary skill in the art will belong to the scope of the present invention in the scope of the present invention without making creative labor premises.
[0038] Such as figure 1 As shown, the remote equipment control system based on wisdom agriculture includes data acquisition module, monitoring center, database, alarm module, display module, repair center, device monitoring module, maintenance analysis module, and storage module;
[0039] When the remote device works, trigger the data acquisition module to collect the work environment information of the remote device in real time. Work environment information includes the value of each running parameter during the operation of the remote device, where each of the operating parameters includes noise score, vibration information, temperature information, load Voltage and load current;
[0040] The data acquisition module is used to upload the work environment information of the acquired remote device to the monitoring center, and the monitoring center is used to analyze the working status of the remote device according to the working environment information during operation of the remote device. The specific analysis steps are as follows:
[0041] Step 1: Get the working environment information of the remote device, compare the values of each running parameter in the work environment information to the security data of the corresponding operational parameters stored in the database, obtain the data difference value corresponding to the operational parameters;
[0042] If the data difference between the corresponding operation parameters is less than or equal to zero, it indicates that the current value corresponding to the operation parameter does not affect the normal operation of the remote device; where the data difference value of the running parameter includes noise division, vibration difference, temperature difference, load voltage Difference and load current difference;
[0043] Step 2: Get the data difference value of each running parameter greater than zero, combine the impact factor of the operational parameters stored in the database to calculate the integrated influence coefficient of the working device work;
[0044] Step 3: Compare the calculated integrated influence coefficients with the preset coefficient threshold;
[0045] If the integrated influence coefficient ≥ the preset coefficient threshold, it is determined that there is a risk of running in the remote device at this time, generating an abnormal signal and labeled the corresponding remote device as an abnormal device.
[0046]The monitoring center is used to receive an abnormal signal, and the control drive alarm module issues an alarm and sends a comprehensive impact factor corresponding to the operation of the remote device to the display module;
[0047] The present invention collects the working environment information of the remote device in real time through the data acquisition module, compares the security data of each running parameter in the working environment information to the security data stored in the database, realizing the security monitoring of remote devices, effectively preventing faults. When there is a risk of running in the remote device, it is possible to have a alarm in the first time, and the role of advance prediction and active prevention is played, and the occurrence of safety accidents is effectively reduced;
[0048] The alarm module receives the location information of the corresponding exception device, and generates the device service task to the maintenance center; the equipment maintenance task carries the location information of the corresponding exception device;
[0049] The maintenance center analyzes the received equipment inspection task and reasonably assigns the corresponding maintenance personnel to overhaul; specifically:
[0050] S1: Mark the exception device corresponding to the equipment maintenance task as the device to be repaired;
[0051] Automatically obtain the maintenance factor of the device to be maintained from the storage module is GX;
[0052] S2: Compare the maintenance coefficient GX with the preset threshold; where the preset threshold includes L1, L2, and L1> L2;
[0053] If GX> L1, the corresponding equipment service task is assigned to the first grade maintenance person;
[0054] If L2
[0055] If GX ≤ L2, the corresponding equipment inspection task is assigned to the third grade maintenance person; in which the first level> The second level, the higher the level, the more maintenance experience, the more maintenance level high;
[0056] The device monitoring module is used to monitor the remote device. When monitoring the remote device is overhaul, record the overhaul information and transfer the maintenance information to the database to the database for real-time storage; in which the maintenance information includes maintenance time and maintenance level; maintenance level Representing the fault problem of the remote device, uploaded from the maintenance personnel to the maintenance center; where the fault problem level is, the more serious the fault problem;
[0057] The maintenance analysis module is used to overhaul coefficient analysis of timestamps stored in the database. The specific analysis method is:
[0058] G1: Depending on the timestamp, it is acquired over 10 maintenance information before the current time of the system;
[0059] G2: According to the remote device, count the number of overhauls of the same remote device and mark C1;
[0060] In response to the same remote device, the remote device is compared to the preset time long threshold; if the time long ≥ the preset time length threshold, the corresponding maintenance time is marked as the influence of time; the number of times the statistical impact is time C2, calculate the difference value of the difference with the preset time length threshold to obtain the timeout value, and obtain all timeout values and get the overtime total value CZ;
[0061] The number of times that affects the time long, the timeout total value is normalized and the value is taken;
[0062] The timeout coefficient CS was calculated using formula CS = C2 × K1 + CZ × K2, wherein K1 and K2 are preset coefficient factors;
[0063] G3: For the same remote device, the maintenance level of the remote device is compared to the preset level threshold; if the overhaul level ≥ the preset level threshold, the corresponding maintenance level is marked as the impact level; the statistical impact level appears The number of times is D1, and the rational rating is calculated to obtain an over-equivalent, and all super equivalents are obtained and the super-equivalent value Cd is obtained.
[0064] The number of times that affects the level, the total value is normalized and the value is taken;
[0065] Ultra-range coefficient DS is calculated using formula DS = D1 × K3 + CD × K4, where K3 and K4 are preset coefficients;
[0066] G4: Number of overhauls, timeout factor, and super-consolidation and take a value;
[0067] The maintenance coefficient GX of the remote device is calculated using formula Gx = C1 × A1 + CS × A2 + DS × A3, where all A1, A2, and A3 are preset coefficient factors; wherein the maintenance coefficient Gx is, the corresponding remote device is indicated. The higher the fault frequency, the higher the possibility of a serious or time-consuming failure problem;
[0068] The maintenance analysis module is used to transfer the maintenance factor of the remote device to the storage module by the monitoring center;
[0069] After receiving the equipment inspection task in the maintenance center in the present invention, obtaining the number of maintenance times, timeout coefficients, and super coefficients within sixty days before the current time of the system, using formulas to obtain this exception by analyzing the overhaul information of the abnormal device. The maintenance factor of the device, the corresponding equipment maintenance task is assigned to different levels of maintenance personnel according to the maintenance factor of the abnormal device, effectively improvement of maintenance efficiency, and maximizing personnel allocation;
[0070] Such as figure 2 As shown, the remote device control method based on wisdom agriculture includes the following steps:
[0071] V1: When the remote device works, collect the working environment information of the remote device in real time and upload to the monitoring center;
[0072] V2: The monitoring center compares the values of each running parameters in the work environment information to the security data stored in the corresponding operational parameters stored in the database, obtain the data difference value corresponding to the operation parameters, and determine whether the remote device is running; specifically:
[0073] Gets data differences greater than the running parameters of zero, combined with the impact factors of the operating parameters stored in the database, calculate the integrated influence factor corresponding to the operation of remote equipment;
[0074] If the integrated influence coefficient ≥ the preset coefficient threshold, it is determined that there is a risk of running in the remote device at this time, generating an abnormal signal and labeled the corresponding remote device as an abnormal device.
[0075] V3: If the remote device has an abnormality, generate the equipment service task to the maintenance center; the maintenance center analyzes the received equipment overhaul task and assigns different levels of maintenance personnel for maintenance; specific:
[0076] The exception device corresponding to the equipment maintenance task is marked as to be checked, and obtains maintenance information within 60 days before the system is currently maintained;
[0077] Statistically the number of maintenance of the equipment to be maintained and marked as C1;
[0078] The timeout coefficient CS is obtained by the preset time long threshold for each maintenance device to be maintained.
[0079] The maintenance level of each maintenance device to be maintained is compared to the preset level threshold. The correlation processing is obtained by the relevant process; the main formula Gx = C1 × A1 + CS × A2 + DS × A3 calculates the maintenance factor of the remote device. GX;
[0080] Compare the maintenance coefficient GX with the preset threshold; where the preset threshold includes L1, L2, and L1> L2;
[0081] If GX> L1, the corresponding equipment service task is assigned to the first grade maintenance person;
[0082] If L2
[0083] If GX ≤ L2, the corresponding equipment overhaul task is assigned to the third grade maintenance personnel.
[0084] The above formula is the value calculation of the removal of the amount, the formula is a formula for software simulation to acquire a large amount of data to obtain the closest-to-real case, and the preset parameter and preset threshold in the formula are set according to the skill in the art. Or a large amount of data simulation is obtained.
[0085] Working principle of the present invention:
[0086] Based on the remote equipment control system and control method thereof, at work, the data acquisition module collects the work environment information of the remote device in real time, the monitoring center is used to run the value of each running parameter in the work environment information and the corresponding operation of the database stored in the database. The security data of the parameter is compared, obtaining the data difference between the operation parameters, combining the operational parameters of the operation parameters stored in the database, calculates the integrated influence coefficient of the corresponding remote device work; if the integrated influence coefficient ≥ preset coefficient The threshold is determined that there is a risk of running in the remote device at this time, generating an abnormal signal, and the alarm module issues an alarm;
[0087] After receiving the abnormal signal, the alarm module obtains the location information of the corresponding exception device, and generates the equipment overhaul task to the maintenance center; the maintenance center analyzes the received equipment inspection task and assigns different levels of maintenance personnel; first get the stay The maintenance equipment is over 60 days before the current time of the system. After related processing, the total number of maintenance equipment to be maintained, the timeout coefficient and the super coefficient are obtained, and the formula is calculated to obtain the maintenance factor of the maintenance equipment; according to the maintenance factor The equipment maintenance task is assigned to different levels of maintenance personnel, effectively improvement of maintenance efficiency, and maximizing personnel allocation utilization.
[0088] In the description of the present specification, a description of the reference terms "an embodiment", "Example", "Specific Examples", etc. One embodiment or in the example. In the present specification, the meaning of the above term is not necessarily referred to as the same embodiments or examples. Moreover, the specific features, structures, materials or features described may be combined in any one or more embodiments or examples.
[0089] The preferred embodiments of the invention disclosed above are only used to help illustrate the invention. The preferred embodiment does not detail all details, nor does not limit the embodiments of the invention. Obviously, according to the content of this specification, many modifications and changes can be made. The present specification is selected and specifically described, in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is limited only by the claims and the entire range and equivalents.
