Storage environment intelligent management and control system suitable for electric appliance accessory processing

Abstract

The invention belongs to the technical field of electric appliance accessory storage supervision, and particularly relates to a storage environment intelligent management and control system suitable for electric appliance accessory processing, which comprises a shelf displacement monitoring module, a shelf placement risk analysis module, a storage environment control evaluation module, a storage operation monitoring module and a background supervision terminal. Displacement of all the goods shelves is monitored through the goods shelf displacement monitoring module, and when displacement safety signals of the corresponding goods shelves are generated, placing risks of the corresponding goods shelves are analyzed through the goods shelf placing risk analysis module. The storage environment control evaluation module is used for monitoring and analyzing the environment control condition of the electric appliance accessory storage warehouse, and the storage operation monitoring module is used for monitoring the transportation process of electric appliance accessory transportation in the warehouse in real time and accurately evaluating the transportation operation performance; the electric appliance accessory storage environment is comprehensively monitored and early warned in time, the storage safety of the electric appliance accessories is guaranteed, and the storage management difficulty is remarkably reduced.

Description

Technical Field

[0001] The invention relates to the technical field of storage supervision of electrical appliance parts, and in particular to an intelligent management and control system for a storage environment suitable for processing electrical appliance parts. Background Art

[0002] Electrical accessories are an indispensable part of electrical equipment. They cooperate with the main body of the electrical equipment and play an important role in the operation, connection, protection and expansion of the electrical equipment. When storing processed electrical accessories, it is necessary to monitor the storage environment of the warehouse;

[0003] At present, when conducting storage monitoring and control of electrical parts, the temperature and humidity in the warehouse are mainly monitored to identify environmental anomalies and adjust them. It is impossible to accurately judge the safety hazards of the shelves where electrical parts are placed and reasonably evaluate the environmental control performance and the transportation operation performance in the warehouse. It is impossible to achieve comprehensive monitoring of the storage environment of electrical parts and timely warning, which is not conducive to ensuring the storage safety of electrical parts and reducing the difficulty of storage management;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent management and control system for the storage environment suitable for the processing of electrical accessories, which solves the problem that the prior art cannot accurately judge the safety hazards existing in the shelves where electrical accessories are placed and reasonably evaluate the environmental control performance and transportation operation performance, and cannot realize comprehensive monitoring of the storage environment of electrical accessories and timely warning, which is not conducive to ensuring the storage safety of electrical accessories and reducing the difficulty of warehouse management.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The intelligent management and control system of storage environment applicable to electrical parts processing includes shelf displacement monitoring module, shelf placement risk analysis module, storage environment control assessment module, storage operation monitoring module and background supervision terminal;

[0008] The shelf displacement monitoring module obtains all shelves in the electrical accessories storage warehouse that carry and place electrical accessories, monitors the displacement of all shelves, and generates displacement warning signals or displacement safety signals of the corresponding shelves through analysis;

[0009] When generating the displacement safety signal of the corresponding shelf, the shelf placement risk analysis module analyzes the placement risk of the corresponding shelf, and generates a placement warning signal or a placement safety signal of the corresponding shelf through analysis;

[0010] The storage environment control assessment module will monitor and analyze the environmental control status of the electrical parts storage warehouse, and generate storage control early warning signals or storage control safety signals through analysis;

[0011] The warehouse operation monitoring module obtains all safe transportation routes in the electrical parts storage warehouse, monitors the transportation process of electrical parts in the warehouse in real time, and generates operation warning signals or operation safety signals through transportation operation analysis; when generating displacement warning signals, placement warning signals, warehouse control warning signals or operation warning signals, the background supervision end issues corresponding warnings.

[0012] Furthermore, the specific analysis process of the shelf displacement monitoring module is as follows:

[0013] A number of detection points are set on the shelf, the current position of the corresponding detection point is collected, and the distance value between the current position and the set standard position is marked as the point distance detection value; the point distance detection value is numerically compared with the preset point distance detection threshold, and if the point distance detection value exceeds the preset point distance detection threshold, the corresponding detection point is marked as a shelf deviation point;

[0014] If there is a shelf deviation point on the corresponding shelf, a displacement warning signal of the corresponding shelf is generated; if there is no shelf deviation point on the corresponding shelf, the point distance detection values ​​of all detection points on the shelf are averaged to obtain a shelf displacement assessment value, and the shelf displacement assessment value is numerically compared with the preset shelf displacement assessment threshold. If the shelf displacement assessment value exceeds the preset shelf displacement assessment threshold, a displacement warning signal of the corresponding shelf is generated; if the shelf displacement assessment value does not exceed the preset shelf displacement assessment threshold, a displacement safety signal of the corresponding shelf is generated.

[0015] Furthermore, the specific analysis process of the shelf placement risk analysis module is as follows:

[0016] The shelf placement risk value of the corresponding shelf in unit time is obtained through analysis, and the shelf placement risk value is numerically compared with the preset shelf placement risk threshold. If the shelf placement risk value exceeds the preset shelf placement risk threshold, a placement warning signal for the corresponding shelf is generated; if the shelf placement risk value does not exceed the preset shelf placement risk threshold, a placement safety signal for the corresponding shelf is generated.

[0017] Furthermore, the analysis and acquisition method of shelf placement risk value is as follows:

[0018] The real-time swing amplitude and real-time swing frequency of the corresponding shelf are collected, and the real-time swing amplitude and real-time swing frequency are numerically compared with the preset real-time swing amplitude threshold and the preset real-time swing frequency threshold respectively. If the real-time swing amplitude or the real-time swing frequency exceeds the corresponding preset threshold, it is determined that the corresponding shelf is in an abnormal shaking state;

[0019] Obtain the peripheral area of ​​the corresponding shelf, mark the average human flow in the peripheral area of ​​the corresponding shelf in unit time as the shelf peripheral human inspection value, and mark the average distance between the personnel in the peripheral area of ​​the corresponding shelf and the shelf in unit time as the shelf peripheral human distance value;

[0020] And obtain all the single durations of the corresponding shelf being in the abnormal state within the unit time, and sum up all the single durations of the abnormal state to obtain the total abnormal time value, and mark the number of occurrences of the single duration of the abnormal state in the unit time exceeding the corresponding preset single duration threshold as the high risk value of abnormality;

[0021] The shelf placement risk value is obtained by numerically calculating the human inspection value outside the shelf, the human distance value outside the shelf, the total time value of the swaying abnormality and the high risk value of the swaying abnormality.

[0022] Furthermore, the specific analysis process of the warehouse environment control assessment module is as follows:

[0023] The warehouse control condition value is obtained through analysis, and the warehouse control condition value is compared with the preset warehouse control condition threshold. If the warehouse control condition value exceeds the preset warehouse control condition threshold, a warehouse control early warning signal is generated; if the warehouse control condition value does not exceed the preset warehouse control condition threshold, a warehouse control safety signal is generated.

[0024] Furthermore, the method for analyzing and obtaining the warehouse control value is as follows:

[0025] Several monitoring areas are set up in the electrical parts storage warehouse, and the temperature and humidity of the corresponding monitoring areas are collected. The temperature is compared with the median of the preset suitable storage temperature range, and the difference is calculated and the absolute value is taken to obtain the storage temperature detection value. Similarly, the storage humidity detection value is obtained;

[0026] And collect the light intensity and dust concentration of the corresponding monitoring area, and perform numerical calculations on the storage temperature inspection value, storage humidity inspection value, light intensity and dust concentration to obtain the regional storage inspection value; calculate the average of the regional storage inspection values ​​of the corresponding monitoring area at all times in a unit time to obtain the regional storage meter value, and mark the monitoring area whose regional storage meter value exceeds the preset regional storage meter threshold as a storage control abnormality area;

[0027] The number of storage control abnormality areas in the electrical parts storage warehouse is obtained and the ratio is calculated with the total number of monitoring areas to obtain the storage control abnormality detection value, and the regional storage meter values ​​of all monitoring areas are averaged to obtain the warehouse control meter value, and the regional storage meter value with the largest value is marked as the regional abnormal amplitude value; the warehouse control condition value is obtained by numerically calculating the storage control abnormality detection value, warehouse control meter value and regional abnormal amplitude value.

[0028] Furthermore, the specific analysis process of the warehouse operation monitoring module includes:

[0029] The transportation process of electrical parts in the electrical parts storage warehouse is monitored, and the total number of deviations from the safe transportation path in the transportation process per unit time is collected and marked as the transportation operation deviation frequency value, and when a deviation occurs in the transportation process, the deviation duration of the corresponding deviation is collected and marked as the transportation deviation time value, and the area enclosed by the actual transportation path and the corresponding safe path between the deviation start time and the deviation end time is marked as the transportation deviation amplitude value;

[0030] The transport deviation time value and the transport deviation amplitude value are numerically compared with the preset transport deviation time threshold value and the preset transport deviation amplitude threshold value respectively. If the transport deviation time value or the transport deviation amplitude value exceeds the corresponding preset threshold value, a deviation judgment symbol ZP-1 is assigned; the number of assignments of the deviation judgment symbol ZP-1 per unit time is obtained and marked as the transport operation risk deviation value;

[0031] The transport operation evaluation value is obtained by weighted summing up the transport operation frequency deviation value and the transport operation risk deviation value, and the transport operation evaluation value is numerically compared with the preset transport operation evaluation threshold. If the transport operation evaluation value exceeds the preset transport operation evaluation threshold, an operation warning signal is generated; if the transport operation evaluation value does not exceed the preset transport operation evaluation threshold, an operation safety signal is generated.

[0032] Furthermore, the background supervision end is communicated with the warehouse supervision analysis module, which is used to set the inspection period, analyze the supervision difficulty of the electrical parts storage warehouse during the inspection period, and determine whether to generate a supervision enhancement signal through analysis, and send the supervision enhancement signal to the background supervision end.

[0033] Furthermore, the specific analysis process of the warehouse supervision analysis module is as follows:

[0034] The number of displacement warning signals and the number of placement warning signals generated by the corresponding shelf during the detection period are collected and marked as displacement warning values ​​and placement warning values, respectively, and the sum of the displacement warning value and the placement warning value is marked as the shelf evaluation value;

[0035] The shelf evaluation values ​​of all shelves in the detection period are obtained and their average is calculated to obtain the shelf comprehensive evaluation value, and the number of times the warehouse control warning signal is generated and the number of times the operation warning signal is generated in the detection period are marked as the warehouse control inspection value and the operation warning value, respectively. The warehouse supervision analysis value is obtained by numerically calculating the shelf evaluation value, the warehouse control inspection value and the operation warning value. The warehouse supervision analysis value is numerically compared with the preset warehouse supervision analysis threshold. If the warehouse supervision analysis value exceeds the preset warehouse supervision analysis threshold, a supervision enhancement signal is generated.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. In the present invention, the displacement of all shelves is monitored by the shelf displacement monitoring module, and the placement risk of the corresponding shelf is analyzed by the shelf placement risk analysis module when the displacement safety signal of the corresponding shelf is generated, and the environmental control status of the electrical parts storage warehouse is monitored and analyzed by the storage environment control evaluation module, and the transportation process of the electrical parts in the warehouse is monitored in real time by the storage operation monitoring module and the transportation operation performance is accurately evaluated, so as to realize comprehensive monitoring of the storage environment of the electrical parts and timely warning, which is conducive to ensuring the storage safety of the electrical parts and significantly reducing the difficulty of storage management;

[0038] 2. In the present invention, the difficulty of supervision of the electrical parts storage warehouse during the detection period is analyzed through the warehouse supervision analysis module. The analysis is used to determine whether to generate a supervision enhancement signal. When the supervision enhancement signal is generated, the background supervision terminal issues a corresponding early warning to remind the warehouse manager to strengthen the supervision of the electrical parts storage warehouse in the future, which is conducive to the subsequent supervision planning of the electrical parts storage warehouse, ensuring the rationality and scientificity of the supervision planning scheme, and having a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0040] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0041] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0043] Embodiment 1: Figure 1 As shown, the intelligent storage environment management and control system for electrical parts processing proposed by the present invention includes a shelf displacement monitoring module, a shelf placement risk analysis module, a storage environment control evaluation module, a storage operation monitoring module and a background supervision terminal;

[0044] The shelf displacement monitoring module obtains all shelves in the electrical accessories storage warehouse that carry and place electrical accessories, and monitors the displacement of all shelves. It generates displacement warning signals or displacement safety signals of the corresponding shelves through analysis. When the displacement warning signal is generated, it is sent to the background supervision end. When the background supervision end receives the displacement warning signal, it issues a corresponding warning to remind the warehouse management personnel to check the corresponding shelves in time and make reasonable improvement measures to ensure the safety of the corresponding shelves for carrying and placing electrical accessories. The specific analysis process of the shelf displacement monitoring module is as follows:

[0045] A number of detection points are set on the shelf, the current position of the corresponding detection point is collected, and the distance value between the current position and the set standard position is marked as the point distance detection value; the point distance detection value is numerically compared with the preset point distance detection threshold. If the point distance detection value exceeds the preset point distance detection threshold, it indicates that the displacement of the corresponding detection point is extremely serious, and the corresponding detection point is marked as a shelf deviation point;

[0046] If there is a shelf deviation point on the corresponding shelf, indicating that there is a displacement risk of the corresponding shelf, a displacement warning signal of the corresponding shelf is generated; if there is no shelf deviation point on the corresponding shelf, the point distance detection values ​​of all detection points on the shelf are averaged to obtain a shelf displacement assessment value, and the shelf displacement assessment value is numerically compared with a preset shelf displacement assessment threshold;

[0047] If the shelf displacement assessment value exceeds the preset shelf displacement assessment threshold, indicating that the corresponding shelf has a displacement risk, a displacement warning signal for the corresponding shelf is generated; if the shelf displacement assessment value does not exceed the preset shelf displacement assessment threshold, indicating that the corresponding shelf does not have a displacement risk, a displacement safety signal for the corresponding shelf is generated.

[0048] When generating the displacement safety signal of the corresponding shelf, the shelf placement risk analysis module analyzes the placement risk of the corresponding shelf, generates the placement warning signal or placement safety signal of the corresponding shelf through analysis, and sends it to the background supervision end when the placement warning signal is generated. When the background supervision end receives the placement warning signal, it issues a corresponding warning to remind the warehouse management personnel to check the corresponding shelf in time and make reasonable improvement measures, so as to further ensure the safety of the corresponding shelf for the placement of electrical accessories. The specific analysis process of the shelf placement risk analysis module is as follows:

[0049] The real-time swing amplitude and real-time swing frequency of the corresponding shelf are collected, and the real-time swing amplitude and real-time swing frequency are numerically compared with the preset real-time swing amplitude threshold and the preset real-time swing frequency threshold respectively. If the real-time swing amplitude or the real-time swing frequency exceeds the corresponding preset threshold, it indicates that the vibration of the corresponding shelf is relatively abnormal, which is likely to cause damage to electrical accessories, and the corresponding shelf is judged to be in an abnormal shaking state;

[0050] The peripheral area of ​​the corresponding shelf is obtained, and the average flow of people in the peripheral area of ​​the corresponding shelf in a unit time is marked as the shelf peripheral personnel inspection value, and the average distance between people and the shelf in the peripheral area of ​​the corresponding shelf in a unit time is marked as the shelf peripheral personnel distance value; wherein, the larger the value of the shelf peripheral personnel inspection value and the smaller the value of the shelf peripheral personnel distance value, the greater the potential risk of the corresponding shelf;

[0051] And obtain all the single durations of the corresponding shelf being in the abnormal state within the unit time, and sum up all the single durations of the abnormal state to obtain the total abnormal time value, and mark the number of occurrences of the single duration of the abnormal state in the unit time exceeding the corresponding preset single duration threshold as the high risk value of abnormality;

[0052] By formula The shelf placement risk value LX is obtained by numerically calculating the shelf perimeter human inspection value LP, shelf perimeter human distance value LK, swaying total time value LS and swaying high risk value LN; wherein su1, su2, su3 and su4 are preset proportional coefficients with values ​​greater than zero; and the larger the value of the shelf placement risk value LX, the greater the overall placement risk of the corresponding shelf;

[0053] The shelf placement risk value LX is numerically compared with the preset shelf placement risk threshold. If the shelf placement risk value LX exceeds the preset shelf placement risk threshold, indicating that the placement risk of the corresponding shelf is generally large, then a placement warning signal for the corresponding shelf is generated; if the shelf placement risk value LX does not exceed the preset shelf placement risk threshold, indicating that the placement risk of the corresponding shelf is generally small, then a placement safety signal for the corresponding shelf is generated.

[0054] The storage environment control assessment module will monitor and analyze the environmental control status of the electrical parts storage warehouse, generate storage control warning signals or storage control safety signals through analysis, and send them to the background supervision end when the storage control warning signals are generated. When the background supervision end receives the storage control warning signals, it will issue corresponding warnings to remind warehouse managers to continue to focus on the environmental conditions in the electrical parts storage warehouse and strengthen environmental monitoring and control, reduce the damage caused by environmental conditions to electrical parts, and improve the storage safety of electrical parts. The specific analysis process of the storage environment control assessment module is as follows:

[0055] Several monitoring areas are set up in the electrical parts storage warehouse, and the temperature and humidity of the corresponding monitoring areas are collected. The temperature is compared with the median of the preset suitable storage temperature range to calculate the difference and take the absolute value to obtain the storage temperature inspection value. Similarly, the storage humidity inspection value is obtained; and the light intensity and dust concentration of the corresponding monitoring area are collected;

[0056] The storage temperature detection value RY, the storage humidity detection value GY, the light intensity XF and the dust concentration WF are numerically calculated by the formula GN = (hy1*RY+hy2*GY+hy3*XF+hy4*WF) / 4 to obtain the regional storage detection value GN; wherein hy1, hy2, hy3 and hy4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the regional storage detection value GN is, the worse the environmental condition of the corresponding monitoring area at the current moment is;

[0057] The regional storage value is calculated by averaging the regional storage inspection values ​​of the corresponding monitoring area at all times within a unit time, and the regional storage value is compared with the preset regional storage threshold, and the monitoring area whose regional storage value exceeds the preset regional storage threshold is marked as a storage control abnormality area;

[0058] The number of storage control abnormality areas in the electrical parts storage warehouse is obtained and the ratio is calculated with the total number of monitoring areas to obtain the storage control abnormality detection value, and the regional storage meter values ​​of all monitoring areas are averaged to obtain the warehouse control meter value, and the regional storage meter value with the largest value is marked as the regional abnormal amplitude value;

[0059] The storage control condition value YW is obtained by numerically calculating the storage control abnormality detection value QX, the warehouse control meter value MY and the regional abnormal amplitude value GP through the formula YW=sg1*QX+(sg2*MY+sg3*GP) / 2; wherein sg1, sg2 and sg3 are preset proportional coefficients, sg1>sg2>sg3>0.157; and the larger the value of the storage control condition value YW is, the worse the environmental control performance of the electrical parts storage warehouse is overall;

[0060] The storage control condition value YW is numerically compared with the preset storage control condition threshold. If the storage control condition value YW exceeds the preset storage control condition threshold, it indicates that the environmental control performance of the electrical accessories storage warehouse is poor, and the damage to the electrical accessories is large, then a storage control early warning signal is generated; if the storage control condition value YW does not exceed the preset storage control condition threshold, it indicates that the environmental control performance of the electrical accessories storage warehouse is good, and the damage to the electrical accessories is small, then a storage control safety signal is generated.

[0061] The storage operation monitoring module obtains all safe transportation routes in the electrical parts storage warehouse, monitors the transportation process of electrical parts in the warehouse in real time, generates operation warning signals or operation safety signals through transportation operation analysis, and sends them to the background monitoring end when the operation warning signal is generated. The background monitoring end issues a corresponding warning when receiving the operation warning signal;

[0062] When receiving the early warning, the warehouse management personnel will strengthen the inspection in the warehouse to ensure that the transportation process of the transportation equipment is carried out according to the safe transportation route, avoid the damage to the stored electrical accessories caused by deviation from the transportation route, and further ensure the storage safety of electrical accessories in the warehouse; the specific analysis process of the warehouse operation monitoring module is as follows:

[0063] The transportation process of electrical parts in the electrical parts storage warehouse is monitored, and the total number of deviations from the safe transportation path in the transportation process per unit time is collected and marked as the transportation operation deviation frequency value, and when a deviation occurs in the transportation process, the deviation duration of the corresponding deviation is collected and marked as the transportation deviation time value, and the area enclosed by the actual transportation path and the corresponding safe path between the deviation start time and the deviation end time is marked as the transportation deviation amplitude value;

[0064] The transport deviation time value and the transport deviation amplitude value are numerically compared with the preset transport deviation time threshold value and the preset transport deviation amplitude threshold value respectively. If the transport deviation time value or the transport deviation amplitude value exceeds the corresponding preset threshold value, a deviation judgment symbol ZP-1 is assigned; the number of assignments of the deviation judgment symbol ZP-1 per unit time is obtained and marked as the transport operation risk deviation value;

[0065] The transport operation evaluation value NY is obtained by weighting and summing the transport operation deviation frequency value NF and the transport operation risk deviation value NR through the formula NY=wq1*NF+wq2*NR; wherein wq1 and wq2 are preset weight coefficients, wq2>wq1>0.524; and the larger the value of the transport operation evaluation value NY is, the larger the value of the transport operation evaluation value NY is, indicating that the overall performance of the transport operation in the electrical parts storage warehouse is worse, and the greater the potential risk is;

[0066] The transport operation assessment value NY is numerically compared with the preset transport operation assessment threshold. If the transport operation assessment value NY exceeds the preset transport operation assessment threshold, it indicates that the transport operation performance in the electrical parts storage warehouse is poor and the potential risk is large, then an operation warning signal is generated; if the transport operation assessment value NY does not exceed the preset transport operation assessment threshold, it indicates that the transport operation performance in the electrical parts storage warehouse is good and the potential risk is small, then an operation safety signal is generated.

[0067] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the background supervision end is connected to the storage supervision analysis module in communication, and the storage supervision analysis module is used to set the detection period, preferably, the detection period is fifteen days; the supervision difficulty of the electrical parts storage warehouse during the detection period is analyzed, and the analysis is used to determine whether to generate a supervision enhancement signal;

[0068] And the supervision enhancement signal is sent to the background supervision end. When the background supervision end receives the supervision enhancement signal, it issues a corresponding warning to remind the warehouse management personnel to strengthen the supervision of the electrical parts storage warehouse in the future, which is conducive to the subsequent supervision planning of the electrical parts storage warehouse, ensuring the rationality and scientificity of the supervision planning scheme, and a high degree of intelligence; the specific analysis process of the warehouse supervision analysis module is as follows:

[0069] The number of displacement warning signals and the number of placement warning signals generated by the corresponding shelf during the detection period are collected and marked as displacement warning values ​​and placement warning values, respectively, and the sum of the displacement warning value and the placement warning value is marked as the shelf evaluation value;

[0070] The shelf evaluation values ​​of all shelves in the detection period are obtained and the average is calculated to obtain the shelf comprehensive evaluation value, and the number of times the storage control warning signal and the number of times the operation warning signal are generated in the detection period are marked as the storage control inspection value and the operation warning value respectively;

[0071] By formula The shelf evaluation value Tuk, the warehouse control and inspection value Tup and the operation warning value Tre are numerically calculated to obtain the warehouse supervision analysis value Tas; wherein m1, m2 and m3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the warehouse supervision analysis value Tas is, the greater the management difficulty of the electrical parts storage warehouse during the detection period;

[0072] The warehouse supervision analysis value Tas is numerically compared with the preset warehouse supervision analysis threshold. If the warehouse supervision analysis value Tas exceeds the preset warehouse supervision analysis threshold, it indicates that the management difficulty of the electrical accessories storage warehouse during the detection period is greater, and the management of the electrical accessories storage warehouse needs to be strengthened in the future, and a supervision enhancement signal is generated.

[0073] The working principle of the present invention is as follows: when in use, the displacement of all shelves is monitored through the shelf displacement monitoring module, and the placement risk of the corresponding shelf is analyzed through the shelf placement risk analysis module when the displacement safety signal of the corresponding shelf is generated, and the warehouse manager is reminded to check the corresponding shelf and make reasonable improvement measures when the displacement warning signal or the placement warning signal is generated, and the environmental control status of the electrical accessories storage warehouse is monitored and analyzed through the storage environment control evaluation module, and the warehouse manager is reminded to continue to focus on the environmental status in the electrical accessories storage warehouse and strengthen environmental monitoring and regulation when the storage control warning signal is generated, and the transportation process of the electrical accessories in the warehouse is monitored in real time through the storage operation monitoring module and the transportation operation performance is accurately evaluated, and the warehouse manager is reminded to strengthen the inspection in the warehouse when the operation warning signal is generated, so as to realize the comprehensive monitoring of the storage environment of the electrical accessories and timely warning, which is conducive to ensuring the storage safety of the electrical accessories and significantly reducing the difficulty of storage management, and has a high degree of intelligence.

[0074] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. Applicable to the intelligent management and control system of storage environment for electrical parts processing, characterized by: It includes shelf displacement monitoring module, shelf placement risk analysis module, warehouse environment control assessment module, warehouse operation monitoring module and background supervision terminal; The shelf displacement monitoring module obtains all shelves in the electrical accessories storage warehouse that carry and place electrical accessories, monitors the displacement of all shelves, and generates displacement warning signals or displacement safety signals of the corresponding shelves through analysis; When generating the displacement safety signal of the corresponding shelf, the shelf placement risk analysis module analyzes the placement risk of the corresponding shelf, and generates a placement warning signal or a placement safety signal of the corresponding shelf through analysis; The storage environment control assessment module will monitor and analyze the environmental control status of the electrical parts storage warehouse, and generate storage control early warning signals or storage control safety signals through analysis; The warehouse operation monitoring module obtains all safe transportation routes in the electrical parts storage warehouse, monitors the transportation process of electrical parts in the warehouse in real time, and generates operation warning signals or operation safety signals through transportation operation analysis; when generating displacement warning signals, placement warning signals, warehouse control warning signals or operation warning signals, the background supervision end issues corresponding warnings.

2. The intelligent management and control system for storage environment suitable for electrical parts processing according to claim 1 is characterized in that: The specific analysis process of the shelf displacement monitoring module is as follows: If there is a shelf deviation point on the corresponding shelf, a displacement warning signal of the corresponding shelf is generated; if there is no shelf deviation point on the corresponding shelf, the point distance detection values ​​of all detection points on the shelf are averaged to obtain a shelf displacement evaluation value. If the shelf displacement evaluation value exceeds a preset shelf displacement evaluation threshold, a displacement warning signal of the corresponding shelf is generated; If the shelf displacement evaluation value does not exceed the preset shelf displacement evaluation threshold, a displacement safety signal of the corresponding shelf is generated.

3. The intelligent management and control system for storage environment suitable for electrical parts processing according to claim 1 is characterized in that: The specific analysis process of the shelf placement risk analysis module is as follows: The shelf placement risk value of the corresponding shelf within a unit time is obtained through analysis. If the shelf placement risk value exceeds the preset shelf placement risk threshold, a placement warning signal of the corresponding shelf is generated; If the shelf placement risk value does not exceed the preset shelf placement risk threshold, a placement safety signal for the corresponding shelf is generated.

4. The intelligent management and control system for storage environment suitable for electrical parts processing according to claim 3 is characterized in that: The analysis and acquisition method of shelf placement risk value is as follows: The shelf placement risk value is obtained by numerically calculating the human inspection value outside the shelf, the human distance value outside the shelf, the total time value of the swaying abnormality and the high risk value of the swaying abnormality.

5. The intelligent management and control system for storage environment suitable for electrical parts processing according to claim 1 is characterized in that: The specific analysis process of the warehouse environment control assessment module is as follows: The warehouse control condition value is obtained through analysis. If the warehouse control condition value exceeds the preset warehouse control condition threshold, a warehouse control early warning signal is generated; if the warehouse control condition value does not exceed the preset warehouse control condition threshold, a warehouse control safety signal is generated.

6. The intelligent management and control system for storage environment suitable for electrical parts processing according to claim 5 is characterized in that: The analysis and acquisition method of warehouse control value is as follows: The number of storage control abnormality areas in the electrical parts storage warehouse is obtained and the ratio is calculated with the total number of monitoring areas to obtain the storage control abnormality detection value, and the regional storage meter values ​​of all monitoring areas are averaged to obtain the warehouse control meter value, and the regional storage meter value with the largest value is marked as the regional abnormal amplitude value; the warehouse control condition value is obtained by numerically calculating the storage control abnormality detection value, warehouse control meter value and regional abnormal amplitude value.

7. The intelligent management and control system for storage environment suitable for electrical parts processing according to claim 1 is characterized in that: The specific analysis process of the warehouse operation monitoring module includes: The transportation process of electrical parts in the electrical parts storage warehouse is monitored, and the transportation operation evaluation value is obtained by weighted summing up the transportation operation frequency deviation value and the transportation operation risk deviation value. If the transportation operation evaluation value exceeds the preset transportation operation evaluation threshold, an operation warning signal is generated; if the transportation operation evaluation value does not exceed the preset transportation operation evaluation threshold, an operation safety signal is generated.

8. The intelligent management and control system for storage environment applicable to electrical parts processing according to claim 1 is characterized in that: The backend supervision end is communicated with the warehouse supervision analysis module. The warehouse supervision analysis module is used to set the inspection period, analyze the supervision difficulty of the electrical parts storage warehouse during the inspection period, determine whether to generate a supervision enhancement signal through analysis, and send the supervision enhancement signal to the backend supervision end.

9. The intelligent management and control system for storage environment applicable to electrical parts processing according to claim 8 is characterized in that: The specific analysis process of the warehouse supervision analysis module is as follows: The shelf evaluation values ​​of all shelves in the detection period are obtained and their average is calculated to obtain the shelf comprehensive evaluation value. The shelf evaluation value, warehouse control and inspection value and operation warning value are numerically calculated to obtain the warehouse supervision analysis value. If the warehouse supervision analysis value exceeds the preset warehouse supervision analysis threshold, a supervision enhancement signal is generated.

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