Automatic grading method and system for water coolers, computer equipment and storage medium

Abstract

The invention relates to the field of water cooler grading and grading, and discloses a water cooler automatic grading method and system, computer equipment and a storage medium, the method comprises the following steps: according to state data of a target water cooler at the current moment, grading and grading the target water cooler to obtain grading and grading data corresponding to the target water cooler at the current moment; wherein the state data comprises working state parameters and operation parameters; the score grading data comprises a state score and an operation state grade; and comparing the grading data corresponding to the target water cooler at the current moment with the grading data corresponding to the target water cooler at the previous moment so as to predict the leakage risk degree of the target water cooler. Real-time automatic scoring and grading are carried out according to the operation state data of the water cooler, the cost is low, and the efficiency is high; and the leakage risk degree of the target water cooler can be predicted by comparing the score grading data of the previous and later moments, so that a leakage event is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of water cooler grading and scoring, and particularly relates to an automatic grading method, system, computer device and storage medium for water coolers. Background Art

[0002] Closed-circuit cooling water systems are widely used in various industrial fields, such as power, metallurgy, chemical industry, pharmaceuticals, petrochemicals, etc. Their operating quality is one of the important factors for enterprises to maintain long-term stable production capacity. Among them, due to factors such as the quality of water coolers, pipeline aging, sealing technology, and operation fluctuations, medium leakage in the closed-circuit cooling water system may occur, resulting in a large amount of refractory organic matter in the circulating water, exacerbating circulating corrosion, not only affecting the heat exchange efficiency of water coolers, but also causing waste of water resources and environmental pollution.

[0003] Among them, the quality of water coolers is related to the service life. As the service life increases, the probability of water cooler leakage is constantly increasing, and its operating reliability is becoming increasingly difficult to master. In related technologies, due to the inability to predict the occurrence of water cooler leakage, the following two measures have to be taken: First, when a water cooler leaks, only manual chemical analysis can be relied on, which is inefficient and costly. Second, detection and analysis are carried out during major repairs or failures, which belongs to passive detection, lacks initiative, is inefficient, and the operation management of water coolers mainly relies on water cooler account books, and it is impossible to conduct automatic operation monitoring and predictive analysis on water coolers. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide an automatic grading method, system, computer device and storage medium for water coolers to solve the problems of low efficiency, high cost, and long detection lag caused by manual chemical analysis or passive detection in related technologies.

[0005] In a first aspect, an embodiment of the present invention provides an automatic grading method for a water cooler, the method comprising:

[0006] Scoring and grading a target water cooler according to the state data of the target water cooler at the current moment to obtain scoring and grading data corresponding to the target water cooler at the current moment; wherein, the state data includes: working state parameters and operating parameters; the scoring and grading data includes: state score and operating state level; the operating state level is determined based on the state score;

[0007] Comparing the scoring and grading data corresponding to the target water cooler at the current moment with the scoring and grading data corresponding to the target water cooler at the previous moment to predict the degree of leakage risk of the target water cooler.

[0008] In an alternative embodiment, before scoring and grading the target water cooler based on the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes:

[0009] Scoring and grading the target water cooler based on the status data of the target water cooler at the initial moment to obtain the scoring and grading data corresponding to the target water cooler at the initial moment;

[0010] Saving and displaying the scoring and grading data corresponding to the target water cooler at the initial moment.

[0011] In an alternative embodiment, the process of obtaining the status data includes:

[0012] Automatically obtaining the operating parameters of the monitoring point corresponding to the monitoring point number according to the monitoring point number corresponding to the target water cooler;

[0013] Automatically obtaining the working status parameters corresponding to the target water cooler according to the water cooler ledger;

[0014] When the operating parameters are insufficient, data coordination is performed through energy accounting to obtain the corrected operating parameters corresponding to the target water cooler.

[0015] In an alternative embodiment, after scoring and grading the target water cooler based on the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes:

[0016] When the status score corresponding to the target water cooler at the current moment reaches the warning value, a warning alarm is issued or a warning text message is sent to the user;

[0017] And / or, when the status score corresponding to the target water cooler at the current moment reaches the alarm value, an alarm is issued or an alarm text message is sent to the user.

[0018] In an alternative embodiment, during the process of scoring and grading the target water cooler based on the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes:

[0019] When the difference between the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment is greater than the set threshold, both the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment are marked.

[0020] In an alternative embodiment, scoring and grading the target water cooler based on the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment includes:

[0021] According to the state data and state scoring requirements of the target water cooler at the current moment, a scoring and grading algorithm is used to score the target water cooler to obtain the state score corresponding to the target water cooler at the current moment;

[0022] According to the corresponding relationship between the state score and the operating state level, the operating state level corresponding to the target water cooler at the current moment is obtained.

[0023] In an optional implementation manner, after scoring and grading the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes:

[0024] Save and display the state data and scoring and grading data corresponding to the target water cooler at the current moment and the moments before the current moment.

[0025] In a second aspect, an embodiment of the present invention provides a water cooler automatic grading system, and the system includes:

[0026] A scoring and grading module, configured to score and grade the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment; wherein, the state data includes: working state parameters and operating parameters; the scoring and grading data includes: state score and operating state level; the operating state level is determined based on the state score;

[0027] A leakage risk prediction module, configured to compare the scoring and grading data corresponding to the target water cooler at the current moment with the scoring and grading data corresponding to the target water cooler at the previous moment to predict the leakage risk degree of the target water cooler.

[0028] In a third aspect, an embodiment of the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the method according to the first aspect or any corresponding implementation manner thereof.

[0029] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the method according to the first aspect or any corresponding implementation manner thereof.

[0030] An embodiment of the present invention provides a method for automatic grading of water coolers. By automatically scoring and grading the status data of water coolers in real time, the labor cost and the duration of scoring and grading are reduced, with low cost and high efficiency. Moreover, the leakage risk degree of the target water cooler can be predicted by comparing the scoring and grading data at the previous and current moments, strengthening the operation monitoring and predictability of the water cooler, and providing effective, timely and reliable basis and data support for extending the service life of the water cooler, reducing the occurrence of leakage events, avoiding environmental protection risks and achieving long-term safe operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0032] Figure 1 is a schematic flowchart of a method for automatic grading of water coolers provided by an embodiment of the present invention;

[0033] Figure 2 is a structural block diagram of an automatic grading system for water coolers provided by an embodiment of the present invention;

[0034] Figure 3 is a schematic structural diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0036] Figure 1 is a schematic flowchart of a method for automatic grading of water coolers according to an embodiment of the present invention. As Figure 1 shown, the process includes the following steps:

[0037] Step S101: Score and grade the target water cooler according to the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment. Among them, the status data includes working state parameters and operating parameters; the scoring and grading data includes a status score and an operating state level; the operating state level is determined based on the status score.

[0038] Among them, the status data can be the operating status data of the target water cooler, including: working status parameters and operating parameters. The working status parameters can include: whether the water cooler is operating, the fluid types on the cold side and the hot side, etc. The operating parameters can include: the temperatures, flow rates, pressures, corrosion rates on the cold side and the hot side, and the material properties on the cold side and the hot side, etc.

[0039] In step S101, according to the status data of the target water cooler at the current moment, various status scores of the target water cooler can be calculated, and then the target water cooler can be classified into different operating status levels according to the various status scores.

[0040] Step S102: Compare the score classification data corresponding to the target water cooler at the current moment with the score classification data corresponding to the target water cooler at the previous moment to predict the leakage risk degree of the target water cooler.

[0041] Among them, the score classification data corresponding to the target water cooler at the previous moment can be the data obtained through scoring and classification based on the status data of the target water cooler at the previous moment. Among them, the status data can be obtained at set time intervals.

[0042] In step S102, by comparing the operating status levels corresponding to the target water cooler at the current moment and the previous moment, the change trend of the operating status level of the target water cooler can be obtained; by comparing the status scores corresponding to the target water cooler at the current moment and the previous moment, the factors affecting the operating status level of the target water cooler can be obtained. Then, based on the change trend and the influencing factors, the leakage risk degree of the target water cooler can be predicted, that is, a predictive analysis of the leakage of the target water cooler is carried out.

[0043] As an example, assume that the operating status level is divided into three levels: A, B, and C. Level A corresponds to the interval with the lowest score, indicating the best operating status; Level C corresponds to the interval with the highest score, indicating the worst operating status; Level B corresponds to the interval with the middle score, indicating a good operating status. Assume that the operating status level corresponding to the target water cooler at the current moment is Level A, and the operating status level corresponding to the target water cooler at the previous moment is Level B. It can be seen from this that the change trend of the operating status level is gradually decreasing, which means that the operating status of the target water cooler is gradually deteriorating, and the leakage risk degree of the target water cooler also increases accordingly. When the leakage risk degree reaches the set threshold, the staff can take certain measures for prevention or remedy, such as: carrying out proactive maintenance or replacing new equipment, etc.

[0044] In the embodiments of the present invention, the status data of the water cooler is automatically scored and graded in real time, reducing labor costs and the duration of scoring and grading, with low cost and high efficiency. Moreover, the scoring and grading data at different times can be compared to predict the leakage risk degree of the target water cooler, strengthening the operation monitoring and predictability of the water cooler, and providing effective, timely and reliable basis and data support for extending the service life of the water cooler, reducing leakage incidents, avoiding environmental protection risks and achieving long-term safe operation.

[0045] In some alternative embodiments, before scoring and grading the target water cooler according to the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the automatic grading method for the water cooler further includes:

[0046] Scoring and grading the target water cooler according to the status data of the target water cooler at the initial moment to obtain the scoring and grading data corresponding to the target water cooler at the initial moment;

[0047] Saving and displaying the scoring and grading data corresponding to the target water cooler at the initial moment.

[0048] Among them, the scoring and grading data corresponding to the target water cooler at the initial moment can be saved in the basic ledger of the water cooler so that the staff can check it in real time.

[0049] In some alternative embodiments, the process of obtaining the status data includes:

[0050] Automatically obtaining the operation parameters of the monitoring points corresponding to the monitoring point numbers according to the monitoring point numbers corresponding to the target water cooler;

[0051] Automatically obtaining the working status parameters corresponding to the target water cooler according to the water cooler ledger;

[0052] When the operation parameters are insufficient, data coordination is performed through energy accounting or material balance calculation to obtain the corrected operation parameters corresponding to the target water cooler.

[0053] Specifically, the monitoring point numbers corresponding to the target water cooler can be obtained from the water cooler ledger. After obtaining the monitoring point numbers corresponding to the target water cooler, the relevant monitoring system sources are connected through a dedicated service interface to extract the operation parameters of the monitoring points corresponding to the monitoring point numbers. In the case of insufficient original operation parameters, data coordination can be carried out by means of energy accounting and other methods to obtain the corrected operation parameters corresponding to the target water cooler.

[0054] It should be noted that the entire process of obtaining status data is automated and continuously executed. When it is necessary to obtain status data, the monitoring point numbers corresponding to the target water cooler are automatically obtained from the water cooler ledger, and the operating parameters of the monitoring points corresponding to the monitoring point numbers are automatically obtained based on the monitoring point numbers corresponding to the target water cooler. Similarly, the working status parameters corresponding to the target water cooler are also automatically and continuously obtained from the water cooler ledger.

[0055] Among them, the energy accounting is described as follows:

[0056] The energy accounting method is carried out through the first law of thermodynamics. Usually, there is no phase change heat transfer on both the material side and the water side of the water cooler. At this time, the missing data can be calculated according to formula (1).

[0057]

[0058] Among them, is the mass flow rate of the hot stream, with the unit of kg / h, c p,h is the specific heat capacity of the hot stream, with the unit of KJ / kg·K, T h,in and T h,out are the inlet and outlet temperatures of the hot fluid respectively, with the unit of K or °C, is the mass flow rate of the cooling water, with the unit of kg / h, c p,c is the specific heat capacity of the cooling water, with the unit of KJ / kg·K. Usually, it is taken as 4.186 KJ / kg·K, T c,in and T c,out are the inlet and outlet temperatures of the cooling water respectively, with the unit of K or °C.

[0059] If there is phase change heat transfer, the calculation is carried out according to formula (2).

[0060]

[0061] Among them, h h,in and h h,out are the inlet and outlet enthalpy values of the hot fluid respectively, with the unit of KJ / kg, h c,in and h c,out are the inlet and outlet enthalpy values of the cooling water respectively, with the unit of KJ / kg.

[0062] If there are missing operating parameters, the corresponding operating parameters can be solved through the above formula (1) and formula (2) and uploaded to the water cooler ledger.

[0063] Among them, the operating parameters are collected by the on-line monitoring instruments, automated sensors and automated sampling and testing equipment arranged at the monitoring points, and are arranged upstream and downstream of the tube side and shell side of the target water cooler.

[0064] It should be noted that the state data of the target water cooler at the initial moment can be used as the initialization data for scoring and grading. The state data parameters can be freely set by the staff according to the running time, and no specific limitation is made here.

[0065] By automatically collecting the working state parameters and running parameters of the target water cooler in real time in the embodiments of the present invention, data support can be provided for the automatic scoring and grading of the target water cooler.

[0066] In some optional embodiments, after scoring and grading the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the water cooler automatic grading method further includes:

[0067] When the state score corresponding to the target water cooler at the current moment reaches the warning value, a warning alarm is issued or a warning text message is sent to the user;

[0068] And / or, when the state score corresponding to the target water cooler at the current moment reaches the alarm value, an alarm is issued or an alarm text message is sent to the user.

[0069] Specifically, the main purpose of setting the alarm value for the target water cooler is to ensure the normal operation and safe use of the target water cooler.

[0070] As an example, when the temperature or pressure of the target water cooler exceeds the preset safety range, that is, exceeds the alarm value, by issuing an alarm or sending an alarm text message to the staff, the staff is timely reminded to take corresponding measures to prevent the equipment from being damaged due to overheating or overpressure. By setting the alarm value, potential problems can be timely discovered and solved, and the failure of the equipment caused by abnormal conditions such as overheating and overpressure can be avoided, ensuring the stability and continuity of production. Similarly, when the temperature or pressure of the target water cooler approaches the maximum value of the safety range, by issuing a warning alarm or sending a warning text message to the staff, the staff is timely reminded to take preventive measures in advance to avoid the situation that the equipment is damaged due to overheating or overpressure.

[0071] In some optional embodiments, during the process of scoring and grading the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the water cooler automatic grading method further includes:

[0072] When the difference between the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment is greater than the set threshold, both the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment are marked.

[0073] Specifically, by annotating the scoring and grading data with large differences, it is convenient for the staff to check and analyze, and it can also help the staff to immediately take corresponding measures after timely discovering abnormal situations to prevent potential safety problems of the water cooler.

[0074] In some alternative embodiments, according to the status data at the current moment, the target water cooler is scored and graded to obtain the scoring and grading data corresponding to the target water cooler at the current moment, including:

[0075] According to the status data of the target water cooler at the current moment and the status scoring requirements, a scoring and grading algorithm is used to score the target water cooler to obtain the status score corresponding to the target water cooler at the current moment;

[0076] According to the correspondence between the status score and the operating status level, the operating status level corresponding to the target water cooler at the current moment is obtained.

[0077] Among them, the status scoring requirements and the correspondence between the status score and the operating status level can both be set according to the actual situation and are not specifically limited here.

[0078] It should be noted that the calculation software of the scoring and grading algorithm includes: (1) a set of dynamically maintainable scoring rule libraries, which are based on the aforementioned working state parameters and operating parameters of the target water cooler, and use the method of formula calculation + rule judgment to describe the grading judgment rules of the target water cooler. The rule library can be expanded and modified according to the actual operation situation to adapt to different working conditions; (2) a grading calculation program library, which uses the above scoring rule library, substitutes the actual values of the working state and operating parameters of the target water cooler, and realizes the logical process of judgment. The final output result is the operating status level corresponding to each target water cooler. ③ An automated calculation tool, which can call the aforementioned working state parameters and operating parameters of the target water cooler, load the background scoring rule library at the same time, call the grading calculation program, and realize the above scoring and grading calculations. ④ A set of comprehensive management software. This software can realize the dynamic maintenance of the scoring rule library, the invocation and log viewing of the grading calculation tool, and the historical data of the scoring and grading of the water cooler.

[0079] As an example, assume that the status scoring requirements include the following aspects of indicators: water treatment effect status, flow rate status, and medium temperature status.

[0080] The scoring requirements for the water treatment effect status are as follows:

[0081] 4 points: The corrosion rate and adhesion rate exceed the set standards for two consecutive months, or occur intermittently three or more times within one year (set standards for corrosion rate: chemical industry sector ≤ 0.075 mm / a, refining sector ≤ 0.10 mm / a; set standards for adhesion rate: chemical industry sector ≤ 15 mcm, refining sector ≤ 20 mcm).

[0082] 3 points: The corrosion rate and adhesion rate indicators are within the set standard ranges and occur three or more times within one year. (Set standard ranges for corrosion rate: chemical industry sector 0.05 - 0.075 mm / a, refining sector 0.075 - 0.10 mm / a; set standard ranges for adhesion rate: chemical industry sector 10 - 15 mcm, refining sector 15 - 20 mcm).

[0083] 2 points: The corrosion rate and adhesion rate indicators reach the set standards. (Set standards for corrosion rate: chemical industry sector ≤ 0.05 mm / a, refining sector ≤ 0.075 mm / a; set standards for adhesion rate: chemical industry sector ≤ 10 mcm, refining sector ≤ 15 mcm).

[0084] 1 point: The corrosion rate and adhesion rate indicators reach the set standards in the long term. (Set standards for corrosion rate: chemical industry sector ≤ 0.05 mm / a, refining sector ≤ 0.075 mm / a; set standards for adhesion rate: chemical industry sector ≤ 10 mcm, refining sector ≤ 15 mcm).

[0085] The scoring requirements for the flow velocity conditions are as follows:

[0086] 4 points: The tube-side flow velocity is long-term lower than 0.3 m / s.

[0087] 3 points: The tube-side flow velocity is between 0.3 m / s - 0.5 m / s.

[0088] 2 points: The tube-side flow velocity is 0.5 m / s - 1.0 m / s.

[0089] 1 point: The tube-side flow velocity is greater than 1.0 m / s.

[0090] The scoring requirements for the medium temperature conditions are as follows:

[0091] 4 points: The medium temperature is greater than 150 °C, or the circulating water outlet temperature is greater than 50 °C.

[0092] 3 points: The medium temperature is greater than 135 °C, or the circulating water outlet temperature is greater than 45 °C.

[0093] 2 points: The medium temperature is 100 °C - 135 °C, and the circulating water outlet temperature is lower than 45 °C.

[0094] 1 point: The medium temperature is 100 °C - 135 °C, and the circulating water outlet temperature is lower than 45 °C.

[0095] Total score = A × water treatment effect + B × flow velocity condition + C × medium temperature condition; A is 0.07, B is 0.22, and C is 0.11.

[0096] It is assumed that the correspondence between the status score and the operation status level is as follows:

[0097] Grade D: The total score is between 3.68 and 3.9

[0098] Grade C: The total score is between 3 and 3.67

[0099] Grade B: The total score is between 2.22 and 2.9

[0100] Grade A: The total score is between 1 and 2.21

[0101] If the status scores corresponding to the status data of the target water cooler at the current moment are 4 points, 3 points, and 3 points respectively, then the total status score is 0.28 + 0.66 + 0.33 = 1.27.

[0102] In some alternative embodiments, after scoring and grading the target water cooler according to the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the automatic grading method for the water cooler further includes:

[0103] Save and display the status data and scoring and grading data corresponding to the target water cooler at the current moment and the moments before the current moment.

[0104] Among them, the status data and status scores corresponding to the target water cooler at the current moment and the moments before the current moment can be saved in the dynamic grading information database of the water cooler. The operation status levels corresponding to the target water cooler at the current moment and the moments before the current moment can be saved in the historical ledger of water cooler grading.

[0105] Among them, both the dynamic grading information database of the water cooler and the historical ledger of water cooler grading are available for the staff to check in real time.

[0106] The embodiments of the present invention can automatically, efficiently, and accurately score the water cooler. According to the scoring and grading results of the water cooler, the operation status and performance of the water cooler can be dynamically displayed, so that the staff can timely understand the working and operating status of the water cooler, and can check the historical status data and scoring and grading data of the water cooler at any time. It has strong reliability, high timeliness, and low required cost. At the same time, it provides a basis for the priorities of water cooler maintenance, improves the pertinence and effectiveness of maintenance, and realizes dynamic management.

[0107] The embodiments of the present invention provide a water cooler automatic grading system, as Figure 2 shown, including:

[0108] The scoring and grading module 201 is used to score and grade the target water cooler according to the status data of the target water cooler at the current moment, so as to obtain the scoring and grading data corresponding to the target water cooler at the current moment; wherein, the status data includes: working status parameters and operating parameters; the scoring and grading data includes: status score and operating status level; the operating status level is determined based on the status score;

[0109] The leakage risk prediction module 202 is used to compare the scoring and grading data corresponding to the target water cooler at the current moment with the scoring and grading data corresponding to the target water cooler at the previous moment, so as to predict the degree of leakage risk of the target water cooler.

[0110] In some optional embodiments, the water cooler automatic grading system further includes an initialization module 203, which is used to score and grade the target water cooler according to the status data of the target water cooler at the initial moment, so as to obtain the scoring and grading data corresponding to the target water cooler at the initial moment; and save and display the scoring and grading data corresponding to the target water cooler at the initial moment.

[0111] In some optional embodiments, the water cooler automatic grading system further includes a warning module 204;

[0112] The warning module 204 further includes:

[0113] The early warning unit 2041 is used to send an early warning alarm or send an early warning text message to the user when the status score corresponding to the target water cooler at the current moment reaches the early warning value.

[0114] And / or, the alarm unit 2042 is used to send an alarm or send an alarm text message to the user when the status score corresponding to the target water cooler at the current moment reaches the alarm value.

[0115] In an optional embodiment, the water cooler automatic grading system further includes a marking module 205, which is used to mark both the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment when the difference between the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment is greater than the set threshold.

[0116] In some optional embodiments, the scoring and grading module 201 further includes:

[0117] The scoring unit 2011 is used to score the target water cooler by using a scoring and grading algorithm according to the status data of the target water cooler at the current moment and the status score requirement, so as to obtain the status score corresponding to the target water cooler at the current moment.

[0118] The grading unit 2012 is configured to obtain the operation status level corresponding to the target water cooler at the current moment according to the correspondence between the status score and the operation status level.

[0119] In some alternative embodiments, the water cooler automatic grading system further includes a historical data query module 206, which is configured to save and display the status data and grading data corresponding to the target water cooler at the current moment and the moments before the current moment.

[0120] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding embodiments above, and will not be elaborated here.

[0121] The vehicle driving direction recognition device in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0122] The embodiment of the present invention further provides a computer device having the above-mentioned Figure 2 shown vehicle driving direction recognition device.

[0123] Please refer to Figure 3 , the computer device includes: one or more processors 10, a memory 20, and an interface for connecting each component, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as an array of servers, a set of blade servers, or a multi-processor system). Figure 3 Taking one processor 10 as an example in

[0124] The processor 10 can be a central processor, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above-mentioned hardware chip can be an application specific integrated circuit, a programmable logic device, or a combination thereof. The above-mentioned programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.

[0125] Among them, the memory 20 stores instructions that can be executed by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.

[0126] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely provided with respect to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0127] The memory 20 may include a volatile memory, for example, a random access memory; the memory may also include a non-volatile memory, for example, a flash memory, a hard disk, or a solid-state drive; the memory 20 may also include a combination of the above types of memories.

[0128] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 may be connected through a bus or other means. Figure 3 Taking the connection through the bus as an example.

[0129] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (for example, an LED), and a haptic feedback device (for example, a vibration motor), etc. The above display device includes but is not limited to a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0130] Embodiments of the present invention also provide a computer-readable storage medium. The methods according to the embodiments of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented by downloading over a network and originally stored in a remote storage medium or a non-transitory machine-readable storage medium and to be stored in a local storage medium, so that the methods described herein can be stored as such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.

[0131] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A water cooler automatic grading method, characterized in that: include: According to the state data of the target water cooler at the current moment, the target water cooler is scored and graded to obtain the score and grade data corresponding to the target water cooler at the current moment; wherein the state data includes: working state parameters and operating parameters; the score and grade data includes: state score and operating state grade; the operating state grade is determined based on the state score; The scoring and grading data corresponding to the target water cooler at the current moment are compared with the scoring and grading data corresponding to the target water cooler at the previous moment to predict the leakage risk degree of the target water cooler.

2. The method according to claim 1, characterized in that Before scoring and grading the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes: Scoring and grading the target water cooler according to the state data of the target water cooler at the initial moment, and obtaining scoring and grading data corresponding to the target water cooler at the initial moment; The scoring and grading data corresponding to the target water cooler at the initial moment are saved and displayed.

3. The method according to claim 2, characterized in that The process of obtaining the status data includes: According to the monitoring point number corresponding to the target water cooler, the operating parameters of the monitoring point corresponding to the monitoring point number are automatically obtained; According to the water cooler ledger, automatically obtain the working status parameters corresponding to the target water cooler; When the operating parameters are insufficient, data coordination is performed through energy accounting to obtain the corrected operating parameters corresponding to the target water cooler.

4. The method according to claim 3, characterized in that After scoring and grading the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes: When the status score corresponding to the target water cooler at the current moment reaches the warning value, a warning alarm is issued or a warning SMS is sent to the user; And / or, when the status score corresponding to the target water cooler at the current moment reaches the alarm value, an alarm is issued or an alarm text message is sent to the user.

5. The method according to claim 3, characterized in that: During the process of scoring and grading the target water cooler according to the status data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes: When the difference between the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment is greater than the set threshold, the scoring and grading data corresponding to the target water cooler at the current moment and the scoring and grading data corresponding to the target water cooler at the previous moment are both marked.

6. The method according to claim 3, characterized in that According to the status data of the target water cooler at the current moment, the target water cooler is scored and graded to obtain the scoring and grading data corresponding to the target water cooler at the current moment, including: According to the state data and state scoring requirements of the target water cooler at the current moment, the target water cooler is scored using a scoring and grading algorithm to obtain the state score corresponding to the target water cooler at the current moment; According to the corresponding relationship between the state score and the operating state level, the operating state level corresponding to the target water cooler at the current moment is obtained.

7. The method according to claim 3, characterized in that After scoring and grading the target water cooler according to the state data of the target water cooler at the current moment to obtain the scoring and grading data corresponding to the target water cooler at the current moment, the method further includes: The status data and scoring data corresponding to the target water cooler at the current moment and the moment before the current moment are saved and displayed.

8. An automatic grading system for water coolers, characterized in that: The system comprises: The scoring and grading module is used to score and grade the target water cooler according to the state data of the target water cooler at the current moment, and obtain the scoring and grading data corresponding to the target water cooler at the current moment; wherein the state data includes: working state parameters and operating parameters; the scoring and grading data includes: state score and operating state grade; the operating state grade is determined based on the state score; The leakage risk prediction module is used to compare the scoring and grading data corresponding to the target water cooler at the current moment with the scoring and grading data corresponding to the target water cooler at the previous moment to predict the leakage risk degree of the target water cooler.

9. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 7.

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