Safe operation method and system of electric energy equipment based on industrial Internet

Abstract

The present invention belongs to the technical field of safe operation of power equipment. The present invention provides a safe operation method and system for power energy equipment based on the industrial Internet. Based on a large signal of the degree of influence, it evaluates whether adjustment work can be performed, generates a battery adjustment signal, and based on the battery adjustment signal, adjusts and replaces the abnormal batteries in the sub-area with the largest number of abnormalities with the normal batteries in the sub-area with the smallest number of abnormalities, obtains the temperature replacement difference, generates a battery replacement signal, and replaces the abnormal batteries in the sub-area with the largest number of abnormalities with the normal batteries in the sub-area with the smallest number of abnormalities. This helps to improve the temperature distribution of the equipment, reduce temperature imbalance, and reduce the risk of equipment failure due to overheating or overcooling.

Description

Technical Field

[0001] The present invention relates to the field of safe operation of electric power equipment, and specifically to a method and system for safe operation of electric energy equipment based on the Industrial Internet. Background Art

[0002] The Industrial Internet of Things (IIoT) is the continuous integration of various acquisition and control sensors or controllers with perception and monitoring capabilities, as well as mobile communications, intelligent analysis and other technologies into all aspects of the industrial production process. The development of this technology enables the operating status of power equipment to be monitored and controlled in real time and accurately, providing technical support for the safe operation of power equipment.

[0003] A Chinese patent with publication number CN117856438A discloses a safe operation system and method for power equipment based on the industrial Internet. The power equipment end is connected to a control module, and the control module can control the start and stop of the power equipment end. The power equipment end includes power equipment, and power monitoring sensors are installed inside the power equipment. The power monitoring sensors are used to monitor the operating status and power quality of the power equipment in real time, and to warn of equipment failures or abnormal conditions.

[0004] In the existing technology, only when the obtained electrical signal is compared with the preset electrical signal and is different, the electrical signal is sent to the server side for range judgment, and the abnormal signal is returned to the monitoring side to determine the location, type and degree of the fault. However, the temperature of the power energy equipment is not monitored in real time, and the standard deviation of the temperature is not calculated to determine whether the equipment is in a temperature balance state. When temperature imbalance is found, it is possible to accurately identify which battery cells have a greater impact on the overall temperature and obtain the temperature influence coefficient of a single cell battery. The temperature influence coefficient of a single cell battery can be used to quantitatively evaluate the degree of influence of a single cell battery on the overall temperature of the power energy equipment. The abnormal batteries in the sub-area with the largest number of abnormalities are not replaced with the normal batteries in the sub-area with the least number of abnormalities, which helps to improve the temperature distribution of the equipment, reduce temperature imbalance, and reduce the risk of equipment failure due to overheating or overcooling.

[0005] To this end, the present invention provides a method and system for safe operation of electric energy equipment based on the Industrial Internet. Summary of the Invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a method for safe operation of electric energy equipment based on the industrial Internet, comprising the following steps:

[0008] Step 1: Monitor the temperature of the power energy equipment in real time, compare it with the temperature standard deviation threshold, determine whether the temperature of the power energy equipment is balanced, and generate a temperature balance signal;

[0009] In step 1, if the device temperature standard deviation value is greater than or equal to the device temperature standard deviation threshold, a temperature imbalance signal is generated;

[0010] Step 2: Based on the temperature imbalance signal, obtain the temperature impact value of the single battery cell, mark it as the single battery temperature impact value, and compare it with the threshold to evaluate whether the single battery cell temperature has an impact, and generate a single battery impact signal;

[0011] If the single cell battery temperature impact value is greater than or equal to the single cell battery temperature impact threshold, an impact signal is generated;

[0012] Step 3: Based on the impact signal, obtain the temperature impact coefficient of the single-cell battery, compare it with the threshold, evaluate the impact of the single-cell battery temperature on the temperature of the power energy equipment, and generate an impact degree signal;

[0013] If the temperature influence coefficient of a single cell battery is greater than or equal to the temperature influence coefficient threshold of a single cell battery, a high influence signal is generated;

[0014] Step 4: Based on the impact signal, evaluate whether adjustment can be performed and generate a battery adjustment signal;

[0015] Step 5: Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained to generate a battery replacement signal.

[0016] The present invention further illustrates that in step 1, the method for obtaining the device temperature standard deviation is as follows:

[0017] Divide the monitoring area into several equal sub-areas, obtain the temperature value of each sub-area, add up the temperature values ​​of all sub-areas and take the average value to obtain the device temperature value;

[0018] During the monitoring period, the monitoring period is divided into several equal sub-time periods, the device temperature value corresponding to each sub-time period is obtained, and the standard deviation of the device temperature values ​​corresponding to all sub-time periods is calculated to obtain the device temperature standard deviation value.

[0019] The present invention further illustrates that in step 2, the method for obtaining the temperature impact value of a single cell battery is as follows:

[0020] The number ratio of single-cell batteries with abnormal temperatures in the sub-area is obtained, and the number ratio of single-cell batteries with abnormal temperatures in each sub-area is added together to obtain the temperature impact value of the single-cell battery.

[0021] The present invention further explains: In step 2, the method for obtaining the ratio of the number of single cells with abnormal temperature in the sub-area is:

[0022] The number of single cells with abnormal temperatures in the sub-region and the total number of single cells in the sub-region are obtained, and the ratio of the number of single cells with abnormal temperatures in the sub-region to the total number of single cells in the sub-region is calculated to obtain the ratio of the number of single cells with abnormal temperatures in the sub-region.

[0023] The present invention further illustrates that in step 3, the temperature influence coefficient of a single cell is obtained by:

[0024] The temperature impact coefficient of a single cell battery is obtained by calculating the ratio of the single cell temperature abnormality time coefficient to the circuit device temperature abnormality time coefficient.

[0025] The present invention further illustrates that in step 3, the method for obtaining the single-cell temperature abnormality time ratio coefficient is as follows:

[0026] During the monitoring sub-time period, the duration of the abnormal temperature of the single battery cell is obtained and marked as the abnormal temperature time of the single battery cell. The abnormal temperature time of the single battery cell is calculated by ratio with the monitoring sub-time period to obtain the abnormal temperature time ratio coefficient of the single battery cell.

[0027] How to obtain the electrical equipment temperature abnormality time ratio coefficient:

[0028] During the monitoring sub-time period, the duration of the abnormal temperature of the electric energy equipment is obtained and marked as the abnormal temperature time of the electric equipment. The abnormal temperature time of the electric equipment is ratio-calculated to the monitoring sub-time period to obtain the abnormal temperature time ratio coefficient of the electric equipment.

[0029] The present invention further illustrates that in step 4, the number of abnormal batteries and the number of normal batteries in the sub-area are obtained, the number of abnormal batteries in each sub-area is compared, and the sub-area with the largest number of abnormal batteries and the sub-area with the smallest number of abnormal batteries are extracted.

[0030] The present invention further states: in step 4, the sub-region with the largest number of abnormal batteries is marked as the sub-region with the largest number of abnormal batteries;

[0031] The sub-region with the smallest number of abnormal batteries is marked as the sub-region with the smallest number of abnormal batteries;

[0032] Obtain the number of abnormal batteries in the sub-region with the largest number of abnormalities, and mark it as the number of abnormal points in the largest sub-region;

[0033] Get the number of normal batteries in the sub-area with the smallest number of abnormal batteries, and mark it as the number of positive batteries in the smallest sub-area;

[0034] The number of abnormal points in the largest sub-region is compared with the number of positive charges in the smallest sub-region. If the number of abnormal batteries in the sub-region with the largest number of abnormalities is less than the number of abnormal batteries in the sub-region with the smallest number of abnormalities, a battery adjustment signal is generated.

[0035] The present invention further illustrates that: in step five, the number of abnormal batteries in the sub-region with the largest number of abnormal batteries and the temperature Ty of each abnormal battery are obtained;

[0036] Then, obtain the temperatures of the normal batteries adjacent to the abnormal battery in the sub-region with the smallest number of abnormalities, add and average them, and obtain the temperature replacement value of the normal batteries in the sub-region with the smallest number of abnormalities, which is marked as Tth;

[0037] The temperature replacement difference Ttc is calculated by the formula: Ttc = |Tth-Ty|;

[0038] The temperature replacement difference value Ttc is compared with the temperature replacement difference threshold value. The comparison process is as follows:

[0039] If the temperature replacement difference Ttc is greater than or equal to the temperature replacement difference threshold, a battery replacement signal is generated.

[0040] The safe operation system of electric energy equipment based on the Industrial Internet includes the following modules:

[0041] Balance detection module: monitors the temperature of power energy equipment in real time, compares it with the temperature standard deviation threshold, determines whether the temperature of power equipment and energy equipment is balanced, and generates a temperature balance signal;

[0042] If the device temperature standard deviation value is greater than or equal to the device temperature standard deviation threshold, a temperature imbalance signal is generated;

[0043] Impact analysis module: Based on the temperature imbalance signal, it obtains the temperature impact value of each battery cell, marks it as the single battery temperature impact value, and compares it with the threshold to evaluate whether the single battery cell temperature has an impact, and generates a single battery impact signal;

[0044] If the single cell battery temperature impact value is greater than or equal to the single cell battery temperature impact threshold, an impact signal is generated;

[0045] Impact assessment module: Based on the impact signal, it obtains the temperature impact coefficient of a single battery cell, compares it with the threshold, evaluates the impact of the single battery cell temperature on the temperature of the power energy equipment, and generates an impact degree signal;

[0046] If the temperature influence coefficient of a single cell battery is greater than or equal to the temperature influence coefficient threshold of a single cell battery, a high influence signal is generated;

[0047] Adjustment analysis module: Based on the impact degree signal, it evaluates whether the adjustment work can be carried out and generates a signal whether the battery should be adjusted;

[0048] Adjustment and optimization module: Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained to generate a signal whether to replace the battery.

[0049] The beneficial effects of the present invention are as follows:

[0050] 1. The present invention monitors the temperature of the electric energy equipment in real time, compares it with the temperature standard deviation threshold, determines whether the temperature of the electric energy equipment is balanced, generates a temperature balance signal, obtains a single-cell battery temperature impact value based on the temperature imbalance signal, marks it as a single-cell temperature impact value, and compares it with the threshold to evaluate whether the single-cell battery temperature has an impact, generates a single-cell impact signal, obtains a single-cell battery temperature impact coefficient based on the impact signal, compares it with the threshold, evaluates the degree of impact of the single-cell battery temperature on the temperature of the electric energy equipment, and generates an impact degree signal. By monitoring the temperature of the electric energy equipment in real time and calculating the standard deviation of the temperature, and then comparing it with a preset temperature standard deviation threshold, it can be determined whether the equipment is in a temperature balance state. When temperature imbalance is found, it can be accurately identified which battery cells have a greater impact on the overall temperature, and the temperature impact coefficient of the single cell battery can be obtained. The temperature impact coefficient of the single cell battery can be used to quantitatively evaluate the degree of impact of the single cell battery on the overall temperature of the electric energy equipment.

[0051] 2. The present invention evaluates whether adjustment can be performed based on a large impact signal, generates a battery adjustment signal, and based on the battery adjustment signal, adjusts and replaces the abnormal batteries in the sub-area with the largest number of abnormalities with the normal batteries in the sub-area with the smallest number of abnormalities, obtains the temperature replacement difference, generates a battery replacement signal, and replaces the abnormal batteries in the sub-area with the largest number of abnormalities with the normal batteries in the sub-area with the smallest number of abnormalities. This helps to improve the temperature distribution of the equipment, reduce temperature imbalance, and reduce the risk of equipment failure due to overheating or overcooling. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The present invention will be further described below with reference to the accompanying drawings.

[0053] Figure 1 is a flow chart of Example 1 of the present invention;

[0054] Figure 2 is a flow chart of Example 2 of the present invention;

[0055] Figure 3 This is a system module diagram of Example 3 of the present invention. DETAILED DESCRIPTION

[0056] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0057] Example 1

[0058] like Figure 1 As shown, the method for safe operation of electric energy equipment based on the industrial Internet according to an embodiment of the present invention includes the following steps:

[0059] Step 1: Monitor the temperature of the power energy equipment in real time, compare it with the temperature standard deviation threshold, determine whether the temperature of the power energy equipment is balanced, and generate a temperature balance signal;

[0060] In some embodiments, the monitoring area is divided into several equal sub-areas, the temperature value of each sub-area is obtained, and the temperature values ​​of all sub-areas are added and averaged to obtain the device temperature value;

[0061] During the monitoring period, the monitoring period is divided into several equal sub-time periods, the device temperature value corresponding to each sub-time period is obtained, and the standard deviation of the device temperature values ​​corresponding to all sub-time periods is calculated to obtain the device temperature standard deviation value;

[0062] How to obtain the temperature value of the sub-area:

[0063] Get the temperature value of each battery in the sub-area, mark it as the single battery temperature value, add up all the single battery temperature values ​​and take the average value to get the sub-area temperature value;

[0064] Compare the device temperature standard deviation value with the device temperature standard deviation threshold. The comparison process is as follows:

[0065] If the device temperature standard deviation value is greater than or equal to the device temperature standard deviation threshold, the power energy device temperature is unbalanced, and a temperature imbalance signal is generated;

[0066] If the device temperature standard deviation value is less than the device temperature standard deviation threshold, the power energy device temperature is balanced, and a temperature balance signal is generated;

[0067] Step 2: Based on the temperature imbalance signal, obtain the temperature impact value of the single battery cell, mark it as the single battery temperature impact value, and compare it with the threshold to evaluate whether the single battery cell temperature has an impact, and generate a single battery impact signal;

[0068] Whether a single battery affects the signal includes whether a single battery affects the signal and whether a single battery does not affect the signal;

[0069] In some embodiments, the single cell battery temperature impact value is obtained in the following manner:

[0070] Obtain the ratio of the number of single-cell batteries with abnormal temperatures in the sub-area, add up the ratio of the number of single-cell batteries with abnormal temperatures in each sub-area, and obtain the temperature impact value of the single-cell battery;

[0071] Exemplarily, the method for obtaining the ratio of the number of single-cell batteries with abnormal temperature in a sub-region is as follows:

[0072] Obtain the number of single-cell batteries with abnormal temperatures in the sub-region and the total number of single-cell batteries in the sub-region, calculate the ratio of the number of single-cell batteries with abnormal temperatures in the sub-region to the total number of single-cell batteries in the sub-region, and obtain the ratio of the number of single-cell batteries with abnormal temperatures in the sub-region;

[0073] Furthermore, the process of determining a battery cell with abnormal temperature is as follows:

[0074] During the monitoring period, the temperature of each cell battery in each sub-time period is obtained, marked as the cell battery temperature, and the standard deviation of all cell battery temperatures is calculated to obtain the cell battery temperature standard deviation value;

[0075] Compare the single-cell battery temperature standard deviation value with the single-cell battery temperature standard deviation threshold. The comparison process is as follows:

[0076] If the single-cell battery temperature standard deviation value is greater than or equal to the single-cell battery temperature standard deviation threshold, the single-cell battery temperature changes significantly during the monitoring period, and the single-cell battery is marked as a single-cell battery with abnormal temperature;

[0077] If the single-cell battery temperature standard deviation value is less than the single-cell battery temperature standard deviation threshold, the single-cell battery temperature change is small during the monitoring period, and the single-cell battery is marked as a single-cell battery with normal temperature;

[0078] The single-cell battery temperature impact value is compared with the single-cell battery temperature impact threshold. The comparison process is as follows:

[0079] If the single-cell battery temperature impact value is greater than or equal to the single-cell battery temperature impact threshold, it means that the single-cell battery temperature has an impact on the temperature of the electric energy equipment, and an impact signal is generated;

[0080] If the single-cell battery temperature impact value is less than the single-cell battery temperature impact threshold, it means that the single-cell battery temperature has no impact on the temperature of the electric energy equipment, and a no-impact signal is generated;

[0081] Step 3: Based on the impact signal, obtain the temperature impact coefficient of the single-cell battery, compare it with the threshold, evaluate the impact of the single-cell battery temperature on the temperature of the power energy equipment, and generate an impact degree signal;

[0082] In some embodiments, the temperature influence coefficient of a single battery cell is obtained in the following manner:

[0083] The temperature impact coefficient of a single cell battery is obtained by calculating the ratio of the single cell temperature abnormality time coefficient to the circuit device temperature abnormality time coefficient.

[0084] For example, the method for obtaining the single-cell temperature abnormality time ratio coefficient is as follows:

[0085] During the monitoring sub-time period, the duration of the abnormal temperature of the single battery cell is obtained and marked as the abnormal temperature time of the single battery cell. The abnormal temperature time of the single battery cell is calculated by ratio with the monitoring sub-time period to obtain the abnormal temperature time ratio coefficient of the single battery cell.

[0086] Furthermore, the method for obtaining the coefficient of the abnormal time of the electrical device temperature is as follows:

[0087] During the monitoring sub-time period, the duration of the abnormal temperature of the electric energy equipment is obtained, marked as the abnormal temperature time of the electric equipment, and the ratio of the abnormal temperature time of the electric equipment to the monitoring sub-time period is calculated to obtain the abnormal temperature time ratio coefficient of the electric equipment;

[0088] The temperature impact coefficient of a single cell battery is compared with the temperature impact coefficient threshold of a single cell battery. The comparison process is as follows:

[0089] If the single-cell battery temperature influence coefficient is greater than or equal to the single-cell battery temperature influence coefficient threshold, it means that the abnormal temperature of the single-cell battery has a greater impact on the abnormal temperature of the power energy equipment, and a high impact signal is generated;

[0090] If the temperature influence coefficient of a single cell battery is less than the temperature influence coefficient threshold of a single cell battery, it means that the abnormal temperature of the single cell battery has a small impact on the temperature of the electric energy equipment, and a small impact signal is generated;

[0091] The embodiment of the present invention is conceived as follows: monitoring the temperature of the electric energy equipment in real time, comparing it with the temperature standard deviation threshold, determining whether the temperature of the electric energy equipment is balanced, generating a temperature balance signal, obtaining a single-cell battery temperature impact value based on the temperature imbalance signal, marking it as a single-cell temperature impact value, and comparing it with the threshold, evaluating whether the single-cell battery temperature has an impact, generating a single-cell impact signal, obtaining a single-cell battery temperature impact coefficient based on the impact signal, comparing it with the threshold, evaluating the degree of impact of the single-cell battery temperature on the temperature of the electric energy equipment, and generating an impact degree signal, by monitoring the temperature of the electric energy equipment in real time and calculating the standard deviation of the temperature, and then comparing it with the preset temperature standard deviation threshold, it is possible to quickly determine whether the equipment is in a temperature balance state, and when temperature imbalance is found, it is possible to accurately identify which battery cells have a greater impact on the overall temperature, and obtain the temperature impact coefficient of the single-cell battery, and the temperature impact coefficient of the single-cell battery can be used to quantitatively evaluate the degree of impact of the single-cell battery on the overall temperature of the electric energy equipment.

[0092] Example 2

[0093] like Figure 2 As shown, the method and system for safe operation of electric energy equipment based on the industrial Internet according to the embodiment of the present invention further include the following steps:

[0094] Step 4: Based on the impact signal, evaluate whether adjustment can be performed and generate a battery adjustment signal;

[0095] The signal indicating whether to replace the battery includes a battery adjustment signal and a battery non-adjustment signal;

[0096] In some embodiments, the number of abnormal batteries and the number of normal batteries in the sub-region are obtained, the number of abnormal batteries in each sub-region is compared, and the sub-region with the largest number of abnormal batteries and the sub-region with the smallest number of abnormal batteries are extracted;

[0097] Mark the sub-region with the largest number of abnormal batteries as the sub-region with the largest number of abnormal batteries;

[0098] The sub-region with the smallest number of abnormal batteries is marked as the sub-region with the smallest number of abnormal batteries;

[0099] Obtain the number of abnormal batteries in the sub-region with the largest number of abnormalities, and mark it as the number of abnormal points in the largest sub-region;

[0100] Get the number of normal batteries in the sub-area with the smallest number of abnormal batteries, and mark it as the number of positive batteries in the smallest sub-area;

[0101] Compare the number of outliers in the largest sub-region with the number of positive charges in the smallest sub-region. The comparison process is as follows:

[0102] If the number of outliers in the largest sub-region is greater than or equal to the number of positive charges in the smallest sub-region, then the sub-region with the largest number of outliers has more outliers than the sub-region with the smallest number of outliers, and a battery no-adjustment signal is generated;

[0103] If the number of abnormal batteries in the sub-region with the largest number of abnormalities is less than the number of abnormal batteries in the sub-region with the smallest number of abnormalities, then there are fewer abnormal batteries in the sub-region with the largest number of abnormalities, and a battery adjustment signal is generated;

[0104] Step 5: Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained to generate a battery replacement signal;

[0105] In some embodiments, the number of abnormal batteries in the sub-region with the largest number of abnormal batteries and the temperature Ty of each abnormal battery are obtained;

[0106] Then, obtain the temperatures of the normal batteries adjacent to the abnormal battery in the sub-region with the smallest number of abnormalities, add and average them, and obtain the temperature replacement value of the normal batteries in the sub-region with the smallest number of abnormalities, which is marked as Tth;

[0107] The temperature replacement difference Ttc is calculated by the formula: Ttc = |Tth-Ty|;

[0108] The temperature replacement difference value Ttc is compared with the temperature replacement difference threshold value. The comparison process is as follows:

[0109] If the temperature replacement difference Ttc is greater than or equal to the temperature replacement difference threshold, a battery replacement signal is generated;

[0110] If the temperature replacement difference Ttc is less than or equal to the temperature replacement difference threshold, a battery non-replacement signal is generated;

[0111] The embodiment of the present invention is conceived as follows: based on a large impact signal, whether adjustment work can be performed is evaluated, and a battery adjustment signal is generated. Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained. The battery replacement signal is generated, and the abnormal batteries in the sub-area with the largest number of abnormalities are replaced with the normal batteries in the sub-area with the smallest number of abnormalities. This helps to improve the temperature distribution of the equipment, reduce temperature imbalance, and reduce the risk of equipment failure due to overheating or overcooling.

[0112] Example 3

[0113] The safe operation system for electric energy equipment based on the Industrial Internet according to an embodiment of the present invention includes the following modules:

[0114] Balance detection module: monitors the temperature of power energy equipment in real time, compares it with the temperature standard deviation threshold, determines whether the temperature of power equipment and energy equipment is balanced, and generates a temperature balance signal;

[0115] If the device temperature standard deviation value is greater than or equal to the device temperature standard deviation threshold, a temperature imbalance signal is generated;

[0116] Impact analysis module: Based on the temperature imbalance signal, it obtains the temperature impact value of each battery cell, marks it as the single battery temperature impact value, and compares it with the threshold to evaluate whether the single battery cell temperature has an impact, and generates a single battery impact signal;

[0117] If the single cell battery temperature impact value is greater than or equal to the single cell battery temperature impact threshold, an impact signal is generated;

[0118] Impact assessment module: Based on the impact signal, it obtains the temperature impact coefficient of a single battery cell, compares it with the threshold, evaluates the impact of the single battery cell temperature on the temperature of the power energy equipment, and generates an impact degree signal;

[0119] If the temperature influence coefficient of a single cell battery is greater than or equal to the temperature influence coefficient threshold of a single cell battery, a high influence signal is generated;

[0120] Adjustment analysis module: Based on the impact degree signal, it evaluates whether the adjustment work can be carried out and generates a signal whether the battery should be adjusted;

[0121] Adjustment and optimization module: Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained to generate a signal whether to replace the battery.

[0122] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for safe operation of electric energy equipment based on the Industrial Internet, characterized by: The following steps are involved: Step 1: Monitor the temperature of the power energy equipment in real time, compare it with the temperature standard deviation threshold, determine whether the temperature of the power energy equipment is balanced, and generate a temperature balance signal; In step 1, if the device temperature standard deviation value is greater than or equal to the device temperature standard deviation threshold, a temperature imbalance signal is generated; Step 2: Based on the temperature imbalance signal, obtain the temperature impact value of the single battery cell, mark it as the single battery temperature impact value, and compare it with the threshold to evaluate whether the single battery cell temperature has an impact, and generate a single battery impact signal; If the single cell battery temperature impact value is greater than or equal to the single cell battery temperature impact threshold, an impact signal is generated; Step 3: Based on the impact signal, obtain the temperature impact coefficient of the single-cell battery, compare it with the threshold, evaluate the impact of the single-cell battery temperature on the temperature of the power energy equipment, and generate an impact degree signal; If the temperature influence coefficient of a single cell battery is greater than or equal to the temperature influence coefficient threshold of a single cell battery, a high influence signal is generated; Step 4: Based on the impact signal, evaluate whether to perform adjustment work and generate a battery adjustment signal; In step 4, the sub-region with the largest number of abnormal batteries is marked as the sub-region with the largest number of abnormal batteries; The sub-region with the smallest number of abnormal batteries is marked as the sub-region with the smallest number of abnormal batteries; Obtain the number of abnormal batteries in the sub-region with the largest number of abnormalities, and mark it as the number of abnormal points in the largest sub-region; Get the number of normal batteries in the sub-area with the smallest number of abnormal batteries, and mark it as the number of positive batteries in the smallest sub-area; Compare the number of abnormal points in the largest sub-region with the number of positive charges in the smallest sub-region. If the number of abnormal batteries in the sub-region with the largest number of abnormalities is less than the number of abnormal batteries in the sub-region with the smallest number of abnormalities, generate a battery adjustment signal. Step 5: Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained to generate a battery replacement signal; In step 5, the number of abnormal batteries in the sub-region with the largest number of abnormal batteries and the temperature Ty of each abnormal battery are obtained; Then, obtain the temperatures of the normal batteries adjacent to the abnormal battery in the sub-region with the smallest number of abnormalities, add and average them, and obtain the temperature replacement value of the normal batteries in the sub-region with the smallest number of abnormalities, which is marked as Tth; The temperature replacement difference Ttc is calculated by the formula: Ttc = |Tth-Ty|; The temperature replacement difference value Ttc is compared with the temperature replacement difference threshold value. The comparison process is as follows: If the temperature replacement difference Ttc is greater than or equal to the temperature replacement difference threshold, a battery replacement signal is generated.

2. The method for safe operation of electric energy equipment based on the Industrial Internet according to claim 1 is characterized in that: In step 1, the device temperature standard deviation is obtained as follows: Divide the monitoring area into several equal sub-areas, obtain the temperature value of each sub-area, add up the temperature values ​​of all sub-areas and take the average value to obtain the device temperature value; During the monitoring period, the monitoring period is divided into several equal sub-time periods, the device temperature value corresponding to each sub-time period is obtained, and the standard deviation of the device temperature values ​​corresponding to all sub-time periods is calculated to obtain the device temperature standard deviation value.

3. The method for safe operation of electric energy equipment based on the Industrial Internet according to claim 2 is characterized in that: In step 2, the method for obtaining the temperature impact value of a single battery cell is as follows: The number ratio of single-cell batteries with abnormal temperatures in the sub-area is obtained, and the number ratio of single-cell batteries with abnormal temperatures in each sub-area is added together to obtain the temperature impact value of the single-cell battery.

4. The method for safe operation of electric energy equipment based on the Industrial Internet according to claim 1 is characterized in that: In step 2, the ratio of the number of cells with abnormal temperature in the sub-area is obtained as follows: The number of single cells with abnormal temperatures in the sub-region and the total number of single cells in the sub-region are obtained, and the ratio of the number of single cells with abnormal temperatures in the sub-region to the total number of single cells in the sub-region is calculated to obtain the ratio of the number of single cells with abnormal temperatures in the sub-region.

5. The method for safe operation of electric energy equipment based on the Industrial Internet according to claim 4 is characterized in that: In step 3, the temperature influence coefficient of a single cell is obtained as follows: The temperature impact coefficient of a single cell battery is obtained by calculating the ratio of the single cell temperature abnormality time coefficient to the circuit device temperature abnormality time coefficient.

6. The method for safe operation of electric energy equipment based on the Industrial Internet according to claim 1 is characterized in that: In step 3, the method for obtaining the single-cell temperature abnormality time coefficient is as follows: During the monitoring sub-time period, the duration of the abnormal temperature of the single battery cell is obtained and marked as the abnormal temperature time of the single battery cell. The abnormal temperature time of the single battery cell is calculated by ratio with the monitoring sub-time period to obtain the abnormal temperature time ratio coefficient of the single battery cell. How to obtain the electrical equipment temperature abnormality time ratio coefficient: During the monitoring sub-time period, the duration of the abnormal temperature of the electric energy equipment is obtained and marked as the abnormal temperature time of the electric equipment. The abnormal temperature time of the electric equipment is ratio-calculated to the monitoring sub-time period to obtain the abnormal temperature time ratio coefficient of the electric equipment.

7. The method for safe operation of electric energy equipment based on the Industrial Internet according to claim 1 is characterized in that: In step 4, the number of abnormal batteries and the number of normal batteries in the sub-region are obtained, the number of abnormal batteries in each sub-region is compared, and the sub-region with the largest number of abnormal batteries and the sub-region with the smallest number of abnormal batteries are extracted.

8. The safe operation system of electric energy equipment based on the Industrial Internet is characterized by: The system is used to execute the method according to any one of claims 1 to 7, and the system includes the following modules: Balance detection module: monitors the temperature of power energy equipment in real time, compares it with the temperature standard deviation threshold, determines whether the temperature of power equipment and energy equipment is balanced, and generates a temperature balance signal; If the device temperature standard deviation value is greater than or equal to the device temperature standard deviation threshold, a temperature imbalance signal is generated; Impact analysis module: Based on the temperature imbalance signal, it obtains the temperature impact value of each battery cell, marks it as the single battery temperature impact value, and compares it with the threshold to evaluate whether the single battery cell temperature has an impact, and generates a single battery impact signal; If the single cell battery temperature impact value is greater than or equal to the single cell battery temperature impact threshold, an impact signal is generated; Impact assessment module: Based on the impact signal, it obtains the temperature impact coefficient of a single battery cell, compares it with the threshold, evaluates the impact of the single battery cell temperature on the temperature of the power energy equipment, and generates an impact degree signal; If the temperature influence coefficient of a single cell battery is greater than or equal to the temperature influence coefficient threshold of a single cell battery, a high influence signal is generated; Adjustment analysis module: Based on the impact degree signal, it evaluates whether to make adjustments and generates a signal indicating whether the battery should be adjusted; In step 4, the sub-region with the largest number of abnormal batteries is marked as the sub-region with the largest number of abnormal batteries; The sub-region with the smallest number of abnormal batteries is marked as the sub-region with the smallest number of abnormal batteries; Obtain the number of abnormal batteries in the sub-region with the largest number of abnormalities, and mark it as the number of abnormal points in the largest sub-region; Get the number of normal batteries in the sub-area with the smallest number of abnormal batteries, and mark it as the number of positive batteries in the smallest sub-area; Compare the number of abnormal points in the largest sub-region with the number of positive charges in the smallest sub-region. If the number of abnormal batteries in the sub-region with the largest number of abnormalities is less than the number of abnormal batteries in the sub-region with the smallest number of abnormalities, generate a battery adjustment signal. Adjustment and optimization module: Based on the battery adjustment signal, the abnormal batteries in the sub-area with the largest number of abnormalities are adjusted and replaced with the normal batteries in the sub-area with the smallest number of abnormalities, and the temperature replacement difference is obtained to generate a signal whether to replace the battery.

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