A power data asset analysis system

Abstract

The present invention relates to an electric power data asset analysis system, comprising a raw material management module, a production management module, and an analysis module. The analysis module further comprises a first data processing unit, a second data processing unit, a data determination unit, and a data analysis unit that are electrically coupled; the first data processing unit obtains a standard loss value as a reference standard; the second data processing unit calculates an actual loss value; the data determination unit is used to determine the state of production assets based on the standard loss value and the actual loss value; the data analysis unit is used to analyze the state of production assets determined by the data determination unit and derive the cause of the abnormality. By obtaining the difference between the actual loss value and the standard loss value in different time periods, multiple differences in continuous time periods are finally obtained, and then the discrete coefficients of the multiple differences are calculated. Based on the discrete coefficients, it is determined whether production is normal, which can accurately reflect the situation, facilitate asset adjustment and management, reduce raw material waste, and save costs.

Description

Technical Field

[0001] The present invention relates to the technical field of analysis systems, and in particular to an electric power data asset analysis system. Background Art

[0002] With the rapid growth of China's economy, its informatization has seen significant development and progress, narrowing the gap with developed countries. my country's informatization has progressed through two stages and is now heading towards the third. This third stage is defined as emerging social productive forces, primarily represented by the Internet of Things and cloud computing. These two technologies have sparked the 4C revolution of computers, communications, and the monitoring and control of information content. Network capabilities are beginning to be fully applied across various industries and social life. Informatization refers to the historical process of cultivating and developing new productive forces, represented by computer-based intelligent tools, and enabling them to benefit society. Productive forces adapted to intelligent tools are known as information-based productive forces. Based on modern communications, networking, and database technologies, informatization is a technology that guides production decisions. Its use can greatly improve the efficiency of various activities and provide significant technical support for the advancement of human society. The term "asset operation" has both broad and narrow meanings. In the broad sense, asset management refers to the fundamental purpose of maximizing asset value, characterized by value management, through the optimal allocation of all capital and production factors and the dynamic adjustment of industrial structure.

[0003] In some related technologies, the monitoring method of power equipment in the fixed asset management system during operation is to perform automatic meter reading on the electric meter of the power equipment, and then obtain the power trend curve of the power equipment based on the obtained meter data. The power trend curve can intuitively display the working status and time of each circuit, find the abnormal power consumption circuit on the fitted power trend curve and make timely rectification; however, this power trend curve fitted by the power consumption of the power equipment has a certain lag for the monitoring of the power equipment, and the power consumption of the power equipment needs to accumulate a certain basis or the abnormal power consumption situation will be fed back to the power trend curve after it occurs. At this time, the power equipment failure has occurred or even damage has occurred. Therefore, how to predict this situation in advance and avoid the destruction of power assets is also a problem that needs to be solved in asset operation management.

[0004] In some other related technologies, the existing power fixed asset management system includes functions such as user information maintenance, manufacturer information maintenance, supplier information maintenance and material information maintenance. However, the material information maintenance includes the management of production raw materials and finished products. Since there is a certain amount of material loss in the process from raw materials to finished products due to uncertain factors in the production process, how to control material loss and thus control costs in order to effectively manage assets is an urgent problem that needs to be solved. Summary of the Invention

[0005] An embodiment of the present application provides an electric power data asset analysis system to solve the problem in related technologies that it is impossible to judge whether the consumption of materials in the production process is normal, resulting in the inability to maximize utilization and waste of assets, as well as the problem of difficulty in predicting the damage of electric power assets.

[0006] In a first aspect, a power data asset analysis system includes a raw material management module, a production management module, and an analysis module, and also includes a magnetic field information collection module provided on the power equipment, the magnetic field information collection module including a magnetic field collection unit and a temperature collection unit;

[0007] The analysis module further comprises a first data processing unit, a second data processing unit, a third data processing unit, a data determination unit and a data analysis unit which are electrically coupled;

[0008] The first data processing unit is configured to obtain product type information and the types of raw materials required to produce each product from the raw material management module to form a first database; and is further configured to form a second database based on the first database and a standard loss value of each product during a standard production process; the standard loss value is the ratio between the amount of raw materials consumed to produce a standard quantity of products and the standard quantity, where the standard quantity is one or more products;

[0009] The third data processing unit is used to obtain the number and value of magnetic field anomalies and the number and value of device temperature anomalies within a set time from the magnetic field information acquisition module, and form a fourth database;

[0010] a second data processing unit configured to obtain, from the production management module, an actual loss value of each product during the production process and form a third database; the actual loss value being the ratio between the amount of raw materials consumed in producing a standard quantity of products during the actual production process and the standard quantity;

[0011] a data determination unit, configured to determine a production asset state based on a standard loss value and an actual loss value, and further configured to determine an operating state of the power equipment based on a fourth database;

[0012] The data analysis unit is used to analyze the production asset status determined by the data determination unit and the operating status of the power equipment to obtain the cause of the abnormality.

[0013] In a preferred embodiment, the data determination unit is used to determine the production asset status according to the standard loss value and the actual loss value in the following specific steps:

[0014] Obtaining an actual loss value corresponding to the product in the third database during the first production time period, and subtracting a standard loss value corresponding to the product in the second database from the actual loss value to obtain a first difference value;

[0015] Repeat the above steps to obtain the second difference in the second production time period and the third difference in the third production time period; calculate the coefficient of variation of the first difference, the second difference, and the third difference; wherein the first production time period is the first time period;

[0016] The judgment is made based on the discrete coefficient. If the discrete coefficient is greater than the set coefficient, the data analysis unit is used for analysis. Otherwise, it is a normal state and the product continues to be produced.

[0017] In a preferred embodiment, the data analysis unit is used to analyze the production asset status determined by the data determination unit, and the specific steps of determining the cause of the abnormality include:

[0018] Obtain the equipment status on the production line of the corresponding product and the quantity of raw materials for the corresponding product in the raw material library;

[0019] If there is any abnormality in the equipment, an abnormality alarm will be issued and the number of abnormalities will be recorded;

[0020] If the quantity of raw materials for the corresponding product in the raw material warehouse is lower than the critical value, a replenishment alarm will be issued and the number of out-of-stock times will be recorded.

[0021] In a preferred embodiment, obtaining the equipment status on the production line of the corresponding product includes the following steps:

[0022] Obtain maintenance personnel's maintenance frequency and maintenance time, as well as maintenance schedule;

[0023] If the number of maintenance times and maintenance times are different from the maintenance schedule, it indicates an abnormality; otherwise, it is normal.

[0024] In a preferred embodiment, when the number of equipment anomalies or out-of-stock times exceeds the number of warnings in a week, a month, or a quarter, it is considered an asset risk situation, and the number of equipment anomalies or out-of-stock times is sent to the management personnel.

[0025] In a preferred embodiment, the second data processing unit is further configured to record the storage time, batch, and storage quantity of the produced products as a third database;

[0026] The data determination unit is further configured to obtain the outbound time of the products sold within a set time period; to obtain the storage time by subtracting the storage time from the outbound time in the third database; and to obtain the depreciation rate of the sold products by dividing the storage time by the set time period.

[0027] In a preferred embodiment, the second data processing unit is further configured to obtain the quantity and time of shipment of unsold products within a set time period;

[0028] The data determination unit is further configured to divide the number of unsold products shipped out of the warehouse by the total amount of the product to obtain the stocking rate of the product;

[0029] The data analysis unit is further configured to record the depreciation rate of the sold product and the product stock rate, and perform analysis according to the following rules:

[0030] If at least one of the depreciation rate of the sold product and the accumulation rate of the product exceeds its corresponding risk value, an asset risk warning will be issued.

[0031] In a preferred embodiment, the specific steps for the data determination unit to determine the operating status of the power equipment according to the fourth database include:

[0032] If the number of magnetic field anomalies and the value of anomalies within the set time are both less than the first set threshold, and the device temperature is normal, it is a level 1 power usage situation;

[0033] If the number of magnetic field anomalies and the value of the anomaly within the set time are both greater than the first set threshold, and the device temperature is normal, it is a level 2 power usage situation;

[0034] If the number of magnetic field anomalies and the value of the anomaly within the set time are both greater than the first set threshold, and the device temperature is greater than the second set threshold, it is a risky power usage situation.

[0035] In a preferred embodiment, the data analysis unit is used to analyze the operating status of the power equipment and determine the cause of the abnormality, including the following steps:

[0036] When the operating state is the first level power consumption state or the second level power consumption state, the data analysis unit does not operate;

[0037] When the operating status is risky power usage, obtain the ambient temperature within the set time and proceed to the following steps:

[0038] If the ambient temperature is greater than the third set threshold and the device temperature is less than the fourth set threshold, it is the third level of power consumption;

[0039] If the ambient temperature is greater than the third set threshold and the device temperature is greater than the fourth set threshold within the set time, an electrical equipment failure alarm is issued;

[0040] If the ambient temperature is lower than the third set threshold and the device temperature is higher than the fourth set threshold, an electrical equipment failure alarm is issued.

[0041] In a preferred embodiment, a terminal module connected to the data analysis unit is further included, the terminal module serving as a user login device and a user control terminal;

[0042] The terminal module includes an identity authentication unit and a display unit. The identity authentication unit is used as a monitoring platform for users to log in to the analysis system and as a security protection system for the analysis system; the display unit is used to display the cause of the abnormality and authentication information.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. This power data asset analysis system calculates the standard loss value by taking the amount of raw materials consumed and the amount of products obtained in the normal production process of each product as a reference standard; then calculates the actual loss value in different production times during the actual production process; then obtains the difference between the actual loss value and the standard loss value in different time periods, and finally obtains multiple differences in continuous time periods, and then calculates the dispersion coefficient of the multiple differences. Based on the dispersion coefficient, it judges whether the production is normal. It takes into account that personnel transfers, equipment operation conditions, etc. in the production process will affect the production progress and consumables, which will make the differences in different time periods different. Therefore, the dispersion coefficient of the differences in multiple different time periods is used as the standard for whether it is normal, so it can accurately reflect the situation, facilitate asset adjustment and management, reduce raw material waste, and save costs;

[0045] 2. This power data asset analysis system can analyze whether the specific cause of abnormal raw material loss is due to equipment problems, raw material shortages, or insufficient supply, and can provide managers with accurate judgment criteria;

[0046] 3. This power data asset analysis system helps managers to understand the production and sales status of products in a timely and intuitive manner by calculating the depreciation rate and storage rate, making it easier to make adjustments, achieve reasonable management of assets, and avoid waste.

[0047] 4. During operation, power equipment generates relatively stable magnetic fields and temperatures. However, when power equipment experiences operational failures or high power consumption, the magnetic field fluctuates. The above steps distinguish between high power consumption and actual equipment failures. Using the set threshold, it can be determined whether a failure has occurred and trigger an alarm. This also takes into account high summer temperatures for more accurate analysis, facilitating operational management of power equipment assets. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of the analysis process of a power data asset analysis system according to the present invention;

[0049] Figure 2 This is a schematic diagram of a power data asset analysis system according to the present invention. DETAILED DESCRIPTION

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0051] An embodiment of the present application provides an electric power data asset analysis system to solve the problem in related technologies of being unable to judge whether the consumption of materials in the production process is normal, resulting in failure to maximize utilization and waste of assets.

[0052] See also Figure 1 , a power data asset analysis system, comprising:

[0053] It includes a raw material management module, a production management module and an analysis module. The analysis module also includes a first data processing unit, a second data processing unit, a third data processing unit, a data determination unit and a data analysis unit that are electrically coupled. It also includes a magnetic field information acquisition module provided on the power equipment. The magnetic field information acquisition module includes a magnetic field acquisition unit and a temperature acquisition unit.

[0054] The first data processing unit is configured to obtain product type information and the types of raw materials required to produce each product from the raw material management module to form a first database; and is further configured to form a second database based on the first database and the standard loss value of each product during the standard production process; the standard loss value is the ratio between the amount of raw materials consumed to produce a standard quantity of products and the standard quantity, where the standard quantity is one or more products;

[0055] The third data processing unit is used to obtain the number and value of magnetic field anomalies and the number and value of device temperature anomalies within a set time from the magnetic field information acquisition module, and form a fourth database;

[0056] a second data processing unit configured to obtain, from the production management module, the actual loss value of each product during the production process and form a third database; the actual loss value being the ratio between the amount of raw materials consumed in producing a standard quantity of products during the actual production process and the standard quantity;

[0057] a data determination unit, configured to determine a production asset state based on a standard loss value and an actual loss value, and further configured to determine an operating state of the power equipment based on a fourth database;

[0058] The data analysis unit is used to analyze the production asset status determined by the data determination unit and the operating status of the power equipment to obtain the cause of the abnormality.

[0059] Through the above equipment, the amount of raw materials consumed in the normal production process of each product and the number of products obtained are calculated to obtain the standard loss value as a reference standard; then the actual loss value in different production times is calculated during the actual production process; then the difference between the actual loss value and the standard loss value in different time periods is obtained, and finally multiple differences in continuous time periods are obtained. Then, the dispersion coefficient of multiple differences is calculated, and whether normal production is judged based on the dispersion coefficient. It takes into account that during the production process, personnel transfers, equipment operation conditions, etc. will affect the production progress and consumables, which will make the differences in different time periods different. Therefore, the dispersion coefficient of the differences in multiple different time periods is used as the standard for whether it is normal, so it can accurately reflect the situation, reduce raw material waste, maximize utilization, and save costs. It provides a reasonable adjustment basis for asset management analysis, and can know the production situation in real time, which is convenient for asset adjustment and management.

[0060] In some preferred embodiments, the data determination unit is used to determine the production asset status according to the standard loss value and the actual loss value in the following specific steps:

[0061] Obtaining an actual loss value corresponding to the product in the third database during the first production time period, and subtracting a standard loss value corresponding to the product in the second database from the actual loss value to obtain a first difference value;

[0062] Repeat the above steps to obtain the second difference in the second production time period and the third difference in the third production time period; calculate the coefficient of variation of the first difference, the second difference, and the third difference; wherein the first production time period is the first time period;

[0063] According to the discrete coefficient, if the discrete coefficient is greater than the set coefficient, the data analysis unit is used for analysis. Otherwise, it is a normal state and the product is continued to be produced.

[0064] Furthermore, to improve the accuracy of the analysis, the above steps are repeated to obtain the second difference value in the second production time period and the third difference value in the third production time period, further comprising:

[0065] Get the nth difference value in the nth production time period.

[0066] The analysis is performed over multiple production time periods, which can be 12 hours, 24 hours, or 48 hours.

[0067] In some preferred embodiments, the data analysis unit is configured to analyze the production asset status determined by the data determination unit, and specific steps for determining the cause of the abnormality include:

[0068] Obtain the equipment status on the production line of the corresponding product and the quantity of raw materials for the corresponding product in the raw material library;

[0069] If there is any abnormality in the equipment, an abnormality alarm will be issued and the number of abnormalities will be recorded;

[0070] If the quantity of raw materials for the corresponding product in the raw material warehouse is lower than the critical value, a replenishment alarm will be issued and the number of out-of-stock times will be recorded.

[0071] In this way, we can know whether the waste of raw materials is caused by insufficient raw materials or equipment abnormality, because these two reasons are the main causes. Insufficient raw materials is a normal reason, which means that it does not affect the waste of raw materials. It is just included in it through the above ideas and judgment methods. This step is to make a distinction.

[0072] Furthermore, how to obtain the equipment status, the following steps are performed: Obtaining the equipment status on the production line of the corresponding product includes the following steps:

[0073] Obtain maintenance personnel's maintenance frequency and maintenance time, as well as maintenance schedule;

[0074] If the number of maintenance times and maintenance times are different from the maintenance schedule, it indicates an abnormality; otherwise, it is normal.

[0075] The above steps distinguish whether the abnormality is caused by normal maintenance and repair of the equipment or by equipment damage. This not only ensures the full utilization of raw materials, but also facilitates equipment management.

[0076] Furthermore, if the number of equipment anomalies or stock-outs exceeds the number of warnings in a week, month, or quarter, it indicates an asset risk situation and the number of equipment anomalies or stock-outs is sent to management. Depending on the actual situation, the occurrence of an asset risk situation indicates a problem with the equipment, prompting asset management to promptly initiate repairs and reminding maintenance personnel to conduct a comprehensive and detailed inspection to avoid large-scale equipment damage and the resulting risks. This also provides reminders for raw material procurement.

[0077] In some preferred embodiments, market demand is ever-changing. Immediate sales of products, as well as immediate production suspension or reduction, require immediate adjustments to avoid waste of assets. However, it is often difficult to determine the direction of adjustment. Here, we provide directions from the perspective of asset management, as follows:

[0078] The second data processing unit is also used to record the storage time, batch, and storage quantity of the produced products as a third database;

[0079] The data determination unit is further configured to obtain the delivery time of products sold within a set time period; subtract the delivery time from the third database to obtain the storage time; and divide the storage time by the set time period to obtain the depreciation rate of the sold product. Depreciation rates include annual, monthly, and quarterly depreciation rates.

[0080] The second data processing unit is further used to obtain the quantity and time of shipment of unsold products within a set time period;

[0081] The data determination unit is further configured to divide the shipment quantity of the unsold products by the total quantity of the products to obtain the stocking rate of the products.

[0082] The data analysis unit is also used to record the depreciation rate of the sold product and the product accumulation rate; and analyze according to the following rules:

[0083] If at least one of the depreciation rate of the sold product and the accumulation rate of the product exceeds its corresponding risk value, an asset risk warning will be issued.

[0084] The above judgment is made through the depreciation rate and accumulation rate of the product, the sales situation of the product, and the risks brought by the length of retention time. Therefore, it can provide asset managers with certain reference standards for adjustments. For example, if the depreciation rate and accumulation rate are large, it proves that the product is sold less and the time span is long; if the depreciation rate is small, it means that the product sales are small and it has a large market demand within a certain period of time.

[0085] In some preferred embodiments, the power data asset analysis system further includes a terminal module connected to the data analysis unit, the terminal module serving as a user login device and a user control terminal;

[0086] The terminal module includes an identity authentication unit and a display unit. The identity authentication unit is used as a monitoring platform for users to log in to the analysis system and as a security protection system for the analysis system; the display unit is used to display the cause of the abnormality and authentication information.

[0087] The setting of this module makes it easier for administrators to log in and view information.

[0088] Furthermore, the raw material management module, production management module and analysis module are all connected to the backup module, which is used to store data during the operation of the raw material management module, production management module and analysis module; since each module has the function of data storage, the additional backup module will back up the above modules separately to avoid data loss.

[0089] In some preferred embodiments, the specific steps for the data determination unit to determine the operating status of the power equipment according to the fourth database include:

[0090] If the number of magnetic field anomalies and the value of anomalies within the set time are both less than the first set threshold, and the device temperature is normal, it is a level 1 power usage situation;

[0091] If the number of magnetic field anomalies and the value of the anomaly within the set time are both greater than the first set threshold, and the device temperature is normal, it is a level 2 power usage situation;

[0092] If the number of magnetic field anomalies and the value of the anomaly within the set time are both greater than the first set threshold, and the device temperature is greater than the second set threshold, it is a risky power usage situation.

[0093] The data analysis unit is used to analyze the operating status of the power equipment and determine the cause of the abnormality, including the following steps:

[0094] When the operating state is the first level power consumption state or the second level power consumption state, the data analysis unit does not operate;

[0095] When the operating status is risky power usage, obtain the ambient temperature within the set time and proceed to the following steps:

[0096] If the ambient temperature is greater than the third set threshold and the device temperature is less than the fourth set threshold, it is the third level of power consumption;

[0097] If the ambient temperature is greater than the third set threshold and the device temperature is greater than the fourth set threshold within the set time, an electrical equipment failure alarm is issued;

[0098] If the ambient temperature is lower than the third set threshold and the device temperature is higher than the fourth set threshold, an electrical equipment failure alarm is issued.

[0099] The principle behind this is that power equipment generates relatively stable magnetic fields and temperatures during operation. When power equipment malfunctions or experiences high power consumption, the magnetic field fluctuates. This process distinguishes high power consumption from actual equipment failures. Using set thresholds, it can determine if a fault has occurred and trigger an alarm. This also takes into account high summer temperatures, enabling more accurate analysis and facilitating operational management of power equipment assets. The magnetic field information acquisition module can utilize detection elements from related technologies to collect both magnetic field information and equipment temperature.

[0100] It should be understood that the above raw material management module and production management module exist as related systems and will not be explained in detail.

[0101] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware.

[0102] This application is subject to various modifications and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this application should be included in the scope of the claims of this application.

[0103] In the description of this application, it should be noted that the terms "upper" and "lower" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be internal communication between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0104] It should be noted that, in this application, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0105] The foregoing is merely a list of specific embodiments of the present application, intended to enable those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the broadest scope consistent with the principles and novel features of the present application.

Claims

1. A power data asset analysis system, comprising a raw material management module, a production management module, and an analysis module, characterized in that: It also includes a magnetic field information acquisition module provided on the power equipment, the magnetic field information acquisition module including a magnetic field acquisition unit and a temperature acquisition unit; The analysis module further comprises a first data processing unit, a second data processing unit, a third data processing unit, a data determination unit and a data analysis unit which are electrically coupled; The first data processing unit is configured to obtain product type information and the types of raw materials required to produce each product from the raw material management module to form a first database; and is further configured to form a second database based on the first database and a standard loss value of each product during a standard production process; the standard loss value is the ratio between the amount of raw materials consumed to produce a standard quantity of products and the standard quantity, where the standard quantity is one or more products; The third data processing unit is used to obtain the number and value of magnetic field anomalies and the number and value of device temperature anomalies within a set time from the magnetic field information acquisition module, and form a fourth database; A second data processing unit is configured to obtain the actual loss value of each product during the production process from the production management module and form a third database; the actual loss value is the ratio between the amount of raw materials consumed in producing a standard number of products during the actual production process and the standard amount; a data determination unit, configured to determine a production asset state based on a standard loss value and an actual loss value, and further configured to determine an operating state of the power equipment based on a fourth database; A data analysis unit, which is used to analyze the production asset status determined by the data determination unit and the operating status of the power equipment to determine the cause of the abnormality; The specific steps for the data determination unit to determine the production asset status according to the standard loss value and the actual loss value are as follows: Obtaining an actual loss value corresponding to the product in the third database during the first production time period, and subtracting a standard loss value corresponding to the product in the second database from the actual loss value to obtain a first difference value; Repeat the above steps to obtain the second difference in the second production time period and the third difference in the third production time period; calculate the coefficient of variation of the first difference, the second difference, and the third difference; wherein the first production time period is the first time period; The judgment is made based on the discrete coefficient. If the discrete coefficient is greater than the set coefficient, the data analysis unit is used for analysis. Otherwise, it is a normal state and the product continues to be produced.

2. The power data asset analysis system according to claim 1, characterized in that: The data analysis unit is used to analyze the production asset status determined by the data determination unit to determine the cause of the abnormality. The specific steps include: Obtain the equipment status on the production line of the corresponding product and the quantity of raw materials for the corresponding product in the raw material library; If there is any abnormality in the equipment, an abnormality alarm will be issued and the number of abnormalities will be recorded; If the quantity of raw materials for the corresponding product in the raw material warehouse is lower than the critical value, a replenishment alarm will be issued and the number of out-of-stock times will be recorded.

3. The power data asset analysis system according to claim 2, characterized in that: Obtaining the equipment status on the production line of the corresponding product includes the following steps: Obtain maintenance personnel's maintenance frequency and maintenance time, as well as maintenance schedule; If the number of maintenance times and maintenance times are different from the maintenance schedule, it indicates an abnormality; otherwise, it is normal.

4. The power data asset analysis system according to claim 2, characterized in that: When the number of equipment anomalies or out-of-stock times exceeds the number of warnings in a week, a month, or a quarter, it is considered an asset risk situation, and the number of equipment anomalies or out-of-stock times will be sent to the management personnel.

5. The power data asset analysis system according to claim 1, characterized in that: The second data processing unit is further configured to record the storage time, batch, and storage quantity of the produced products as a third database; The data determination unit is further configured to obtain the outbound time of the products sold within a set time period; to obtain the storage time by subtracting the storage time from the outbound time in the third database; and to obtain the depreciation rate of the sold products by dividing the storage time by the set time period.

6. The power data asset analysis system according to claim 5, characterized in that: The second data processing unit is further configured to obtain the quantity and time of shipment of unsold products within a set time period; The data determination unit is further configured to divide the number of unsold products shipped out of the warehouse by the total amount of the product to obtain the stocking rate of the product; The data analysis unit is further configured to record the depreciation rate of the sold product and the product stock rate, and perform analysis according to the following rules: If at least one of the depreciation rate of the sold product and the accumulation rate of the product exceeds its corresponding risk value, an asset risk warning will be issued.

7. The power data asset analysis system according to claim 1, characterized in that: The specific steps for the data determination unit to determine the operating status of the power equipment according to the fourth database include: If the number of magnetic field anomalies and the value of anomalies within the set time are both less than the first set threshold, and the device temperature is normal, it is a level 1 power usage situation; If the number of magnetic field anomalies and the value of the anomaly within the set time are both greater than the first set threshold, and the device temperature is normal, it is a level 2 power usage situation; If the number of magnetic field anomalies and the value of the anomaly within the set time are both greater than the first set threshold, and the device temperature is greater than the second set threshold, it is a risky power usage situation.

8. The power data asset analysis system according to claim 1, characterized in that: The data analysis unit is used to analyze the operating status of the power equipment and determine the cause of the abnormality, including the following steps: When the operating state is the first level power consumption state or the second level power consumption state, the data analysis unit does not operate; When the operating status is risky power usage, obtain the ambient temperature within the set time and proceed to the following steps: If the ambient temperature is greater than the third set threshold and the device temperature is less than the fourth set threshold, it is the third level of power consumption; If the ambient temperature is greater than the third set threshold and the device temperature is greater than the fourth set threshold within the set time, an electrical equipment failure alarm is issued; If the ambient temperature is lower than the third set threshold and the device temperature is higher than the fourth set threshold, an electrical equipment failure alarm is issued.

9. The power data asset analysis system according to claim 1, characterized in that: Also included is a terminal module connected to the data analysis unit, the terminal module serving as a user login device and a user control terminal; The terminal module includes an identity authentication unit and a display unit. The identity authentication unit is used as a monitoring platform for users to log in to the analysis system and is used as a security protection system for the analysis system. The display unit is used to display the cause of the abnormality and authentication information.

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