Intelligent early warning and comprehensive management system for multi-source data fusion

Abstract

The invention relates to the technical field of intelligent early warning management of electroplating parks, in particular to an intelligent early warning and comprehensive management system based on multi-source data fusion. Comprising a database, a multi-source monitoring module and an early warning management module, the multi-source monitoring module is used for collecting and analyzing electroplating equipment information and electroplating discharge information in an electroplating workshop in real time to ensure that each link in the electroplating process is comprehensively monitored, and an equipment monitoring index and a waste discharge monitoring index are obtained through calculation and analysis; based on the equipment monitoring index and the waste discharge monitoring index, a multi-dimensional early warning system is constructed, and various abnormal conditions possibly occurring in the electroplating workshop can be comprehensively dealt with; corresponding safety protection measures such as shutdown operation and maintenance instruction sending are accurately taken, so that safe and stable operation of the electroplating workshop is ensured; according to the 3D structure model of the electroplating park, the position and the safety state of the operator are monitored in real time, and once it is found that the operator is in a dangerous area and does not wear special protective clothing, early warning information is sent immediately.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent early warning management of electroplating parks, and specifically to an intelligent early warning and integrated management system for multi-source data fusion. Background Art

[0002] An electroplating park is an industrial park that provides a centralized production and operation environment for the electroplating industry. It is usually large in area and covers a wide range of functional areas. Therefore, it is necessary to conduct multi-dimensional data monitoring and early warning management of the park to achieve effective management of the electroplating park. Electroplating is a process of depositing metal ions onto the surface of an object through an electrolytic process. It is usually used to improve the performance of the metal surface, such as increasing corrosion resistance, improving wear resistance, or changing the appearance. In the electroplating process, many chemicals and electrolytes are involved, and pollutants such as waste gas and wastewater are also generated. Therefore, equipment and environmental monitoring, early warning, and management of electroplating parks are particularly important.

[0003] Although some electroplating parks monitor the concentration of emissions, the emission concentration is usually an instantaneous measurement result. This monitoring method has serious limitations. It lacks assessment of long-term emission trends and cannot provide timely early warnings to electroplating workers. At the same time, when there are abnormalities in the electroplating equipment, it is impossible to issue early warnings in time. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent early warning and comprehensive management system for multi-source data fusion to solve the problems mentioned in the above background technology.

[0005] The object of the present invention can be achieved by the following technical solutions: an intelligent early warning and integrated management system for multi-source data fusion, comprising: a database, a multi-source monitoring module and an early warning management module;

[0006] It is assumed that there are several electroplating workshops in the electroplating park. The database communicates with the sensors in the electroplating workshops to collect the electroplating equipment information and electroplating emission information in the electroplating workshops in real time and stores them.

[0007] The multi-source monitoring module includes an electroplating equipment monitoring unit and an electroplating waste monitoring unit. Specifically, the electroplating equipment monitoring unit performs real-time monitoring and analysis on the status of electroplating equipment in the electroplating workshop based on the electroplating equipment information to obtain an equipment monitoring index; the electroplating waste monitoring unit performs real-time monitoring and analysis on the electroplating emission status based on the electroplating emission information to obtain a waste monitoring index; the equipment monitoring index and the waste monitoring index are integrated into workshop characteristic parameters and sent to the early warning management module;

[0008] The early warning management module performs intelligent early warning and safety protection management based on the workshop characteristic parameters of the electroplating workshop, specifically:

[0009] Retrieve the equipment monitoring index of the electroplating workshop and compare and analyze it with the set equipment abnormality threshold. When the equipment monitoring index is greater than the set equipment abnormality threshold, an equipment abnormality warning is generated, otherwise an equipment normal signal is generated;

[0010] Retrieve the waste discharge monitoring index of the electroplating workshop, compare and analyze the waste discharge monitoring index with the set waste discharge pollution threshold, and generate a pollution abnormality warning when the waste discharge monitoring index is greater than the set waste discharge pollution threshold; otherwise, generate a pollution normal signal;

[0011] If there are both equipment abnormality warning and pollution abnormality warning, the electroplating equipment in the electroplating workshop will be shut down and the electroplating workshop will be marked as a dangerous workshop; a pollution danger signal will be sent to the administrator's mobile terminal; at the same time, an equipment abnormality instruction will be sent to the corresponding safety officer's mobile terminal, and the safety officer and administrator will be reminded to wear special protective clothing;

[0012] If there are both equipment abnormality warning and pollution normal signal, the electroplating equipment in the electroplating workshop will be shut down, and the equipment abnormality instruction will be sent to the mobile terminal of the corresponding safety officer, and the safety officer will be reminded to wear ordinary protective clothing;

[0013] If there are both normal equipment signals and abnormal pollution warnings, the electroplating workshop will be recorded as a dangerous workshop, and a pollution danger signal will be sent to the administrator's mobile terminal, and the administrator will be reminded to wear special protective clothing, and the administrator will be notified in time that there is a potential emission hazard in the dangerous workshop, so that he can deal with it in time;

[0014] If there are both normal equipment signals and normal pollution signals, there is no need for early warning and management;

[0015] According to the layout of the electroplating park, 3D modeling is carried out to obtain a 3D structural model of the electroplating park, the safety status of each electroplating workshop is displayed, and safety warnings are issued to operators in the electroplating park based on this.

[0016] Preferably, the specific safety warning process is:

[0017] Dangerous workshops are displayed in yellow, electroplating workshops in shutdown state are displayed in red, and electroplating workshops in operation state are displayed in green; at the same time, the electroplating equipment information, electroplating emission information, state value curve chart and waste emission curve chart of each electroplating workshop are linked with the electroplating workshop;

[0018] Identify the dangerous workshops in the 3D structural model of the electroplating park, use the minimum circumscribed circle simulation to obtain the center point of the dangerous workshop, calculate the interval distance between the center point and any point on the edge of the workshop, and select the largest interval distance as the effective distance of the dangerous workshop and record it as σ; take the waste discharge monitoring index XG of the dangerous electroplating area, normalize it with the effective distance σ and take its value, calculate the value to get the area radius Ψ, the specific calculation formula is: Ψ=σ+φ*XG, where φ is the set distance conversion coefficient;

[0019] The danger zone is obtained by drawing a circle with the center point as the center. By obtaining the real-time position of each operator, if the operator is in the danger zone, the real-time image of the operator is obtained through the camera to identify whether the operator is wearing special protective clothing. If so, no warning is required; if not, a danger zone warning is sent to the operator's mobile terminal to remind him to leave the danger zone in time to prevent irrelevant personnel from entering the danger zone and ensure the safety of operators in the electroplating park.

[0020] Preferably, the electroplating equipment status monitoring and analysis process of the electroplating equipment monitoring unit is:

[0021] 3-1: Retrieve the electroplating equipment information at each acquisition moment, the specific electroplating equipment information includes voltage spectrum, current spectrum, electrolyte temperature, electrolyte flow rate, pH value, electrode potential, equipment load, and record them as U(t)j, I(t)j, Tj, Lj, pHj, Ej and Fj respectively; where j = 1, 2, 3...J, J is a positive integer, J represents the total number of acquisition moments, j represents the sequence number of any acquisition moment; t represents the time dimension in the voltage spectrum or current spectrum; set the electroplating equipment to have a standard process parameter, the specific standard process parameters include standard voltage range, standard current range, standard electrolyte temperature range, standard electrolyte flow range, standard pH range, standard electrode potential range and standard equipment load range;

[0022] 3-2: Spectrum analysis is performed based on the voltage spectrum and current spectrum to obtain the voltage deviation amplitude and current deviation amplitude respectively;

[0023] 3-3: The electrolyte temperature, electrolyte flow, pH value, electrode potential and equipment load are compared with the standard electrolyte temperature interval, standard electrolyte flow interval, standard pH interval, standard electrode potential interval and standard equipment load interval in the standard process parameters to obtain the reference electrolyte temperature, reference electrolyte flow, reference pH value, reference electrode potential and reference equipment load at each collection time, and they are recorded as and

[0024] 3-4: Set a waste discharge coefficient for each electroplating workshop, and set the waste discharge coefficient μj, voltage deviation amplitude SYj, current deviation amplitude SVj, reference electrolyte temperature Reference electrolyte flow rate Reference pH Reference electrode potential and reference equipment load Perform normalization and take its value, and perform formula calculation and analysis on the value to obtain the device status value Rj at each collection time, which is specifically expressed as:

[0025]

[0026] Among them, β1, β2, β3, β4, β5, β6, and β7 are the set proportional coefficients respectively;

[0027] 3-5: Construct a two-dimensional rectangular coordinate system with time as the horizontal coordinate and the state value as the vertical coordinate. Input the state value into the coordinate system according to its corresponding collection time, and record the position of the state value in the coordinate system as the state point. Use a smooth curve to connect the state points in sequence to obtain a state value curve graph; according to the state value curve graph, perform a graphical analysis of the changing trend of the equipment operating status in the electroplating workshop to obtain the equipment monitoring index.

[0028] Preferably, the electroplating discharge status monitoring and analysis process of the electroplating waste discharge monitoring unit is:

[0029] 4-1: Retrieve the electroplating emission information at each collection time, where the electroplating emission information includes the types of pollutants in the wastewater and the concentration of each pollutant. Types of pollutants in the exhaust gas and the corresponding concentration of each pollutant The weight of the waste residue is recorded as C3; the superscript 1 represents the liquid state, that is, wastewater; the superscript 2 represents the gaseous state, that is, waste gas; the superscript 3 represents the solid state, that is, waste residue; k = 1, 2, 3 ... K, K is a positive integer, K represents the total number of types of pollutants in the wastewater, k represents any one of the pollutants; q = 1, 2, 3 ... Q, Q is a positive integer, Q represents the total number of types of pollutants in the waste gas, q represents any one of the pollutants;

[0030] 4-2: Pollutant concentration in wastewater Pollutant concentration in exhaust gas The waste residue mass C3 is normalized and its value is taken. The value is calculated and analyzed by formula to obtain the waste discharge coefficient μ. The waste discharge coefficient at each collection time is recorded as μj and sent to the electroplating equipment monitoring unit. The specific calculation formula is:

[0031]

[0032] Among them, g1, g2, and g3 are the set proportional constants respectively;

[0033] 4-3: Set each pollutant in the wastewater and each pollutant in the waste gas to correspond to a chemical pollution value, compare each type of pollutant in the wastewater and each type of pollutant in the waste gas with all the pollutants in the set wastewater and all the pollutants in the waste gas to match the corresponding chemical pollution value, and record them as and

[0034] 4-4: Pollutant concentration in wastewater And its corresponding chemical pollution value Pollutant concentration in exhaust gas And its corresponding chemical pollution value The waste residue mass C3 is normalized and its value is taken. The value is calculated and analyzed by formula to obtain the waste discharge value CG. The waste discharge value corresponding to each collection time is recorded as CGj. The specific calculation formula is:

[0035]

[0036] Among them, z1, z2, and z3 are the set proportional constants respectively;

[0037] 4-5: Construct a two-dimensional rectangular coordinate system with the waste discharge value as the vertical coordinate, input the waste discharge value into the coordinate system according to its corresponding collection time, and record the position of the waste discharge value in the coordinate system as the waste discharge point, and use a smooth curve to connect each waste discharge point in sequence to obtain a waste discharge value curve chart; based on the waste discharge value curve chart, perform graphical analysis on the changing trend of the waste discharge status in the electroplating workshop to obtain the waste discharge monitoring index.

[0038] Preferably, the specific process of spectrum analysis is:

[0039] Identify peaks and dips in the voltage spectrum and record them as voltage transitions;

[0040] Compare and analyze the transition values ​​corresponding to the voltage transitions in the voltage spectrum with the set transition intervals, so as to classify the voltage transitions corresponding to the transition values ​​into highly severe transitions, moderately severe transitions and slightly severe transitions, and count the cumulative times of highly severe transitions, moderately severe transitions and slightly severe transitions in the voltage transitions, and record them as Y1, Y2 and Y3 respectively; calculate the mean of the transition values ​​corresponding to each voltage transition to obtain the transition mean value, which is recorded as Y4;

[0041] The cumulative number of highly severe transitions Y1, the cumulative number of moderately severe transitions Y2, the cumulative number of slightly severe transitions Y3 and the transition mean Y4 in the voltage transition are calculated and analyzed by formulating to obtain the transition amplitude Yα of the voltage spectrum; the specific calculation formula is:

[0042]

[0043] Wherein α1, α2, and α3 are respectively set proportional constants, and α1>α2>α3>0, and the specific values ​​are set by those skilled in the art;

[0044] According to the upper limit A1 and lower limit A2 of the standard voltage interval [A1, A2], two straight lines parallel to the horizontal axis are drawn. The voltage spectrum is divided into three parts by the two straight lines. One part is below the straight line U=A1, one part is between the straight line U=A1 and the straight line U=A2, and one part is above U=A2. The areas of the three parts are calculated and recorded as S A1 , and S A2 ; S A1 , and S A2 The out-of-region amplitude Sα of the voltage spectrum is obtained by formula calculation and analysis; the specific calculation formula is:

[0045]

[0046] Wherein α4 and α5 are respectively set proportional constants, and their specific values ​​are set by those skilled in the art, for example, α4 is set to 0.44 and α5 is set to 0.56;

[0047] The transition amplitude and the super-region amplitude of the voltage spectrum are normalized and their values ​​are taken. The values ​​are weighted and calculated to obtain the voltage deviation amplitude, which is recorded as SY. Thus, the voltage deviation amplitude of the voltage spectrum at each acquisition time is recorded as SYj.

[0048] Similarly, the current deviation amplitude is obtained by spectrum analysis of the current spectrum and recorded as SVj.

[0049] Preferably, the specific interval distance comparison analysis process is:

[0050] The electrolyte temperature Tj and the standard electrolyte temperature interval [C1, C2] are marked on the numerical axis. If the electrolyte temperature Tj is in the standard electrolyte temperature interval [C1, C2], the reference electrolyte temperature is assigned a value of zero and recorded as Otherwise, according to the formula Calculate the reference electrolyte temperature

[0051] Similarly, the electrolyte flow rate, pH value, electrode potential and equipment load are compared with the standard electrolyte flow rate interval, standard pH interval, standard electrode potential interval and standard equipment load interval in the standard process parameters to obtain the reference electrolyte flow rate, reference pH value, reference electrode potential and reference equipment load at each collection time.

[0052] Preferably, the changing trend of the operating status of the equipment in the electroplating workshop is graphically analyzed based on the status value curve chart, and the specific process is:

[0053] Draw a tangent line at each state point, and use data fitting to get the tangent slope, which is recorded as the state slope Wj; sum up the state slopes greater than zero to get the abnormal increase value, which is recorded as η1, and sum up the state slopes less than zero to get the absolute value, which is recorded as η2;

[0054] The state value Rj, state slope Wj, abnormal increase value η1 and abnormal decrease value η2 at each acquisition time are normalized and their values ​​are taken, and the values ​​are calculated and analyzed by formula to obtain the equipment monitoring index RW; the specific calculation formula is:

[0055]

[0056] Among them, δ1, δ2, and δ3 are the set proportional constants, is the mean value of the state slope of each state point in the state value curve.

[0057] Preferably, a graphical analysis is performed on the changing trend of the waste discharge state in the electroplating workshop according to the waste discharge value curve chart, and the specific process is as follows:

[0058] Draw a tangent line at each waste discharge point, and use data fitting to calculate the slope of the tangent line, which is recorded as the waste discharge slope Xj; sum up the waste discharge slopes greater than zero to obtain the waste discharge increase value, which is recorded as f1, and sum up the waste discharge slopes less than zero and take the absolute value to obtain the waste discharge reduction value, which is recorded as f2;

[0059] The waste discharge value CGj, waste discharge slope Xj, waste discharge increase value f1 and waste discharge reduction value f2 at each collection time are normalized and their values ​​are taken, and the values ​​are calculated and analyzed by formula to obtain the waste discharge monitoring index XG; the specific calculation formula is:

[0060]

[0061] Among them, h1, h2, and h3 are the set proportional constants. It is the average value of the waste discharge slope of each waste discharge point in the waste discharge value curve.

[0062] Beneficial effects of the present invention:

[0063] 1. The multi-source monitoring module collects and analyzes the electroplating equipment information and electroplating emission information in the electroplating workshop in real time to ensure comprehensive monitoring of every link in the electroplating process; through in-depth analysis of electroplating equipment information such as voltage spectrum and current spectrum, as well as meticulous processing of electroplating emission information such as wastewater, waste gas, and waste residue, it can accurately identify abnormal conditions of electroplating equipment and emission status; using advanced algorithms to process the collected data, calculate and analyze the equipment monitoring index and waste emission monitoring index, which can intuitively reflect the operating status and environmental risks of the electroplating workshop; once an abnormal situation is found, the multi-source monitoring module can quickly send relevant information to the early warning management module, providing timely and accurate data support for subsequent early warning and management operations;

[0064] 2. The early warning management module builds a multi-dimensional early warning system based on the equipment monitoring index and the waste discharge monitoring index, which can comprehensively deal with various abnormal situations that may occur in the electroplating workshop; through real-time monitoring and data analysis, the early warning management module can respond to abnormal situations as soon as they occur, effectively avoiding the deterioration of the situation. According to different early warning situations, the early warning management module can accurately take corresponding safety protection measures, such as shutdown operations, sending equipment abnormality instructions, etc., to ensure the safe and stable operation of the electroplating workshop; at the same time, through 3D modeling technology, the early warning management module can intuitively display the overall operation of the electroplating park, help administrators better understand the status of the park and improve management efficiency; according to the status of each electroplating workshop in the 3D structural model of the electroplating park, the location and safety status of the operators are monitored in real time. Once it is found that the operators are in a dangerous area and are not wearing special protective clothing, an early warning message will be sent immediately to ensure the life safety of the operators;

[0065] In summary, the present invention can accurately judge the equipment operation status and emission status of the electroplating workshop through multi-source monitoring and multi-dimensional data analysis, predict potential abnormal risks, and ensure the production quality and environmental compliance of the electroplating workshop. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 is a schematic diagram of system module connection of the present invention;

[0067] Figure 2 It is a schematic diagram of the danger zone of the present invention. DETAILED DESCRIPTION

[0068] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0069] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0070] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0071] In addition, it should be noted that in the description of the present invention, 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 it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0072] See also Figure 1 As shown, the present invention is an intelligent early warning and integrated management system for multi-source data fusion, including: a database, a multi-source monitoring module and an early warning management module;

[0073] It is assumed that there are several electroplating workshops in the electroplating park. The database communicates with the sensors in the electroplating workshops to collect the electroplating equipment information and electroplating emission information in the electroplating workshops in real time and stores them.

[0074] The multi-source monitoring module contains an electroplating equipment monitoring unit and an electroplating waste monitoring unit. Specifically, the electroplating equipment monitoring unit monitors and analyzes the status of the electroplating equipment in the electroplating workshop in real time based on the electroplating equipment information to obtain the equipment monitoring index; the electroplating waste monitoring unit monitors and analyzes the electroplating emission status in real time based on the electroplating emission information to obtain the waste monitoring index; the equipment monitoring index and the waste monitoring index are integrated into workshop characteristic parameters and sent to the early warning management module; specifically:

[0075] The electroplating equipment status monitoring analysis of the electroplating equipment monitoring unit is:

[0076] Retrieve the electroplating equipment information at each acquisition moment. The specific electroplating equipment information includes voltage spectrum, current spectrum, electrolyte temperature, electrolyte flow, pH value, electrode potential, and equipment load, and record them as U(t)j, I(t)j, Tj, Lj, pHj, Ej, and Fj, respectively; where j = 1, 2, 3...J, J is a positive integer, J represents the total number of acquisition moments, and j represents the sequence number of any one of the acquisition moments; t represents the time dimension in the voltage spectrum or the current spectrum;

[0077] It is assumed that there is a standard process parameter for the electroplating equipment. The specific standard process parameters include the standard voltage interval recorded as [A1, A2], the standard current interval recorded as [B1, B2], the standard electrolyte temperature interval recorded as [C1, C2], the standard electrolyte flow interval recorded as [D1, D2], the standard pH interval recorded as [H1, H2], the standard electrode potential interval recorded as [N1, N2], and the standard equipment load interval recorded as [M1, M2]; the standard process parameters refer to the optimal or expected operating range of the electroplating equipment operation and the electroplating process. These parameters can ensure the stability, quality and efficiency of the electroplating process. They are specifically determined by the specifications and models of the electroplating equipment, the process requirements of the electroplating process and the requirements of the electroplated products, and their values ​​are set by personnel in this field;

[0078] It should be noted that the acquisition of voltage spectrum and current spectrum usually only takes a few seconds, so each acquisition moment has its corresponding voltage spectrum and current spectrum; current is a very important parameter in the electroplating process, which directly affects the reduction process of metal ions and the quality of the electroplating layer; voltage controls the ion migration in the electroplating process, affecting the thickness and adhesion of the electroplating layer. Too high or too low voltage will lead to substandard electroplating quality; the electrolyte temperature in the electroplating process has an important influence on the deposition rate of metal ions and the stability of the electroplating solution. Too high or too low temperature will affect the electroplating effect; the flow rate of the electroplating solution directly affects the uniformity of the electroplating solution and the distribution of metal ions. Insufficient flow will cause local concentration changes in the electroplating solution, affecting the quality of electroplating; excessive flow will increase the burden on equipment; pH value affects the chemical stability of the electroplating solution and the ion exchange process in the electroplating process. Too high or too low pH value may lead to unstable electroplating quality or corrosion to equipment; too high or too low electrode potential will affect the selectivity and efficiency of the electroplating reaction; for example, if the electrode potential is too high, it will lead to side reactions, such as hydrogen evolution reaction or oxidation reaction, affecting the quality of the coating; too high load will increase the energy consumption in the electroplating process, the equipment will be overloaded and affect the electroplating quality, and if the equipment is overloaded, the power supply or electroplating cell will be unstable, affecting process control;

[0079] Identify peaks and depressions in the voltage spectrum and record them as voltage transitions; a peak indicates a sharp rise in voltage, and a depression indicates a sharp drop in voltage. Calculate the transition value of the voltage transition. The specific calculation method of the transition value is: subtract the minimum voltage from the maximum voltage in the peak, that is, the peak height; subtract the minimum voltage from the maximum voltage in the depression, that is, the depth of the depression; the larger the transition value, the more drastic the voltage change; compare and analyze the transition value corresponding to the voltage transition in the voltage spectrum with the set transition interval. When the transition value is greater than the maximum value in the set transition interval, a highly severe transition is accumulated; when the transition value is within the set transition interval, a highly severe transition is accumulated. When the transition value is less than the minimum value in the set transition interval, a mildly severe transition is accumulated; the cumulative number of highly severe transitions, moderately severe transitions and mildly severe transitions in the voltage transitions are counted respectively, and recorded as Y1, Y2 and Y3 respectively; the transition values ​​corresponding to each voltage transition are averaged to obtain the transition mean value recorded as Y4; the cumulative number of highly severe transitions Y1, the cumulative number of moderately severe transitions Y2, the cumulative number of mildly severe transitions Y3 and the transition mean value Y4 in the voltage transition are calculated and analyzed by formulas to obtain the transition amplitude Yα of the voltage spectrum; the specific calculation formula is:

[0080]

[0081] Wherein α1, α2, and α3 are respectively set proportional constants, and α1>α2>α3>0, and the specific values ​​are set by those skilled in the art;

[0082] According to the upper limit A1 and lower limit A2 of the standard voltage interval [A1, A2], two straight lines parallel to the horizontal axis are drawn. The voltage spectrum is divided into three parts by the two straight lines. One part is below the straight line U=A1, one part is between the straight line U=A1 and the straight line U=A2, and one part is above U=A2. The areas of the three parts are calculated and recorded as S A1 , and S A2 ; S A1 , and S A2 The out-of-region amplitude Sα of the voltage spectrum is obtained by formula calculation and analysis; the specific calculation formula is:

[0083]

[0084] Wherein α4 and α5 are respectively set proportional constants, and their specific values ​​are set by those skilled in the art, for example, α4 is set to 0.44 and α5 is set to 0.56;

[0085] The transition amplitude Yα and the super-region amplitude Sα of the voltage spectrum are normalized and their values ​​are taken. The values ​​are weighted and calculated to obtain the voltage deviation amplitude, which is recorded as SY. Thus, the voltage deviation amplitude of the voltage spectrum at each acquisition time is recorded as SYj.

[0086] Similarly, the peaks and depressions in the current spectrum are identified and recorded as current jumps; the peaks represent a sharp rise in current, and the depressions represent a sharp drop in current. The jump value of the current jump is calculated. The specific jump value calculation method is:

[0087] Subtract the current minimum value from the current maximum value in the peak, that is, the peak height; subtract the current minimum value from the current maximum value in the depression, that is, the depth of the depression; the larger the jump value, the more drastic the current change; compare and analyze the jump value corresponding to the current jump in the current spectrum with the set jump interval. When the jump value is greater than the maximum value in the set jump interval, a highly severe jump is accumulated; when the jump value is in the set jump interval, a moderately severe jump is accumulated; when the jump value is less than the minimum value in the set jump interval, a slightly severe jump is accumulated; the cumulative number of highly severe jumps, moderately severe jumps and slightly severe jumps in the current jumps are counted respectively, and they are recorded as V1, V2 and V3 respectively; the jump values ​​corresponding to each current jump are averaged to obtain the jump mean value recorded as V4; the cumulative number of highly severe jumps V1, the cumulative number of moderately severe jumps V2, the cumulative number of slightly severe jumps V3 and the jump mean V4 in the current jumps are calculated and analyzed in a formula to obtain the jump amplitude Vα of the current spectrum; the specific calculation formula is:

[0088]

[0089] Wherein γ1, γ2, and γ3 are respectively set proportional constants, and γ1>γ2>γ3>0, and the specific values ​​are set by those skilled in the art;

[0090] According to the upper limit B1 and lower limit B2 of the standard current interval [B1, B2], two straight lines parallel to the horizontal axis are drawn. The current spectrum is divided into three parts by the two straight lines. One part is below the straight line I = B1, one part is between the straight line I = B1 and the straight line I = B2, and one part is above I = B2. The areas of the three parts are calculated and recorded as S B1 , and S B2 ; S B1 , and S B2 The super-region amplitude Sα of the current spectrum is obtained by formula calculation and analysis; the specific calculation formula is:

[0091]

[0092] Wherein γ4 and γ5 are respectively set proportional constants, and their specific values ​​are set by those skilled in the art, for example, α4 is set to 0.41 and α5 is set to 0.59;

[0093] The jump amplitude Vγ and the over-area amplitude Sγ of the current spectrum are normalized and their values ​​are taken. The values ​​are weighted and calculated to obtain the current deviation amplitude, which is recorded as SV. Thus, the current deviation amplitude of the current spectrum at each acquisition time is recorded as SVj.

[0094] The electrolyte temperature Tj, electrolyte flow rate Lj, ​​pH value pHj, electrode potential Ej and equipment load Fj are respectively compared with the standard electrolyte temperature interval [C1, C2], standard electrolyte flow interval [D1, D2], standard pH interval [H1, H2], standard electrode potential interval [N1, N2] and standard equipment load interval [M1, M2] in the standard process parameters to obtain the reference electrolyte temperature, reference electrolyte flow rate, reference pH value, reference electrode potential and reference equipment load at each collection time, and are recorded as and The specific process of interval distance comparison analysis is as follows:

[0095] The electrolyte temperature Tj and the standard electrolyte temperature interval [C1, C2] are marked on the numerical axis. If the electrolyte temperature Tj is in the standard electrolyte temperature interval [C1, C2], the reference electrolyte temperature is assigned a value of zero and recorded as Otherwise, according to the formula Calculate the reference electrolyte temperature

[0096] Similarly, the electrolyte flow rate Lj and the standard electrolyte temperature range [D1, D2] are marked on the numerical axis. If the electrolyte flow rate Lj is in the standard electrolyte flow rate range [D1, D2], the reference electrolyte flow rate is assigned a value of zero and recorded as Otherwise, according to the formula Calculate the reference electrolyte flow rate

[0097] Similarly, the pH value pHj and the standard pH interval [H1, H2] are marked on the number axis. If the pH value pHj is in the standard pH interval [H1, H2], the reference pH value is assigned to zero and recorded as Otherwise, according to the formula Calculate the reference pH value

[0098] Similarly, the electrode potential Ej and the standard electrode potential interval [N1, N2] are marked on the numerical axis. If the electrode potential Ej is in the standard electrode potential interval [N1, N2], the reference electrode potential is assigned a value of zero and is recorded as Otherwise, according to the formula Calculate the reference electrode potential

[0099] Similarly, the equipment load Fj and the standard equipment load interval [M1, M2] are marked on the numerical axis. If the equipment load Fj is in the standard equipment load interval [M1, M2], the reference equipment load is assigned a value of zero and recorded as Otherwise, according to the formula Calculate the reference equipment load

[0100] The voltage deviation amplitude SYj, the current deviation amplitude SVj, the reference electrolyte temperature Reference electrolyte flow rate Reference pH Reference electrode potential and reference equipment load Perform normalization and take its value, and perform formula calculation and analysis on the value to obtain the device status value Rj at each collection time, which is specifically expressed as:

[0101]

[0102] Among them, β1, β2, β3, β4, β5, β6, and β7 are the set proportional coefficients, and μj is the waste discharge coefficient. It can be seen from the formula that when the voltage deviation amplitude and the current deviation amplitude are larger, the voltage and current abnormalities of the electroplating equipment are more obvious, and the greater the impact on the electroplating quality, the greater the equipment status value; when the reference electrolyte temperature Reference electrolyte flow rate Reference pH Reference electrode potential and reference equipment load The larger the value is, the greater the gap between the standard process parameters is, the greater the impact on the electroplating quality is, and the greater the equipment status value is;

[0103] A two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the state value as the vertical coordinate. The state value is input into the coordinate system according to its corresponding collection time, and the position of the state value in the coordinate system is recorded as the state point. A smooth curve is used to connect the state points in sequence to obtain a state value curve graph; a tangent line is drawn at each state point, and the slope of the tangent line is obtained by data fitting and recorded as the state slope Wj; it should be noted that when the state slope is greater than zero, it means that the state value shows an increasing trend. The larger the state slope, the greater the increase in the abnormal risk of the electroplating equipment; when the state slope is When the rate is less than zero, it means that the state value shows a downward trend. The smaller the state slope, the greater the trend of reducing the abnormal risk of electroplating equipment; the state slopes greater than zero are summed up to obtain the abnormal increase value recorded as η1, and the state slopes less than zero are summed up and then the absolute value is taken to obtain the abnormal reduction value recorded as η2; the state value Rj, state slope Wj, abnormal increase value η1 and abnormal reduction value η2 at each acquisition time are normalized and their values ​​are taken, and the numerical values ​​are calculated and analyzed by formula to obtain the equipment monitoring index RW; the specific calculation formula is:

[0104]

[0105] Among them, δ1, δ2, and δ3 are the set proportional constants, is the mean value of the state slope of each state point in the state value curve. It can be seen from the formula that when the increasing trend of the state value is greater and the decreasing trend is smaller, it means that the potential abnormal risk of the equipment is greater, and the equipment monitoring index is greater; when the state slope is more unstable, it means that the equipment is more unstable, and its impact on the electroplating quality is greater, and the equipment monitoring index is greater;

[0106] Through in-depth analysis of electroplating equipment information such as voltage spectra and current spectra, the abnormal status of electroplating equipment can be accurately identified. By using advanced algorithms to process the collected data and calculate the equipment monitoring index, it can intuitively reflect the operating status of the electroplating equipment in the electroplating workshop.

[0107] The electroplating waste monitoring unit's electroplating discharge status monitoring analysis is as follows:

[0108] Retrieve the electroplating emission information at each collection time, where the electroplating emission information includes the types of pollutants in the wastewater and the corresponding concentration of each pollutant, recorded as Types of pollutants in the exhaust gas and the corresponding concentration of each pollutant The weight of the waste residue is recorded as C3; the superscript 1 represents the liquid state, that is, waste water; the superscript 2 represents the gaseous state, that is, waste gas; the superscript 3 represents the solid state, that is, waste residue; k = 1, 2, 3 ... K, K is a positive integer, K represents the total number of types of pollutants in the waste water, and k represents any one of the pollutants; q = 1, 2, 3 ... Q, Q is a positive integer, Q represents the total number of types of pollutants in the waste gas, and q represents any one of the pollutants; it should be noted that the more serious the waste water and waste gas pollution discharged in the electroplating workshop, the more waste residue mass, and the unstable discharge, the greater the risk of abnormal electroplating equipment; this is because equipment abnormality will lead to incomplete reaction or uneven generation of chemical reaction products or unstable electroplating process, resulting in increased waste discharge or unstable waste discharge;

[0109] The concentration of pollutants in wastewater Pollutant concentration in exhaust gas The waste residue mass C3 is normalized and its value is taken. The value is calculated and analyzed by formula to obtain the waste discharge coefficient μ. The waste discharge coefficient at each collection time is recorded as μj and sent to the electroplating equipment monitoring unit. The specific calculation formula is:

[0110]

[0111] Among them, g1, g2, and g3 are the set proportional constants respectively;

[0112] Each pollutant in the wastewater and each pollutant in the waste gas is set to correspond to a chemical pollution index (CCI). It should be noted that the chemical pollution value is usually an indicator to measure its harm to the human body and the environment, which is specifically set by experts in this field. Each type of pollutant in the wastewater and each type of pollutant in the waste gas are compared with all the pollutants in the set wastewater and all the pollutants in the waste gas to match the corresponding chemical pollution values, and they are recorded as and

[0113] The concentration of pollutants in wastewater And its corresponding chemical pollution value Pollutant concentration in exhaust gas And its corresponding chemical pollution value The waste residue mass C3 is normalized and its value is taken. The value is calculated and analyzed by formula to obtain the waste discharge value CG. The waste discharge value corresponding to each collection time is recorded as CGj. The specific calculation formula is:

[0114]

[0115] Among them, z1, z2, and z3 are respectively set proportional constants. It can be seen from the formula that when the concentration of pollutants in wastewater is greater, the corresponding chemical pollution value is greater, and the waste discharge value is greater; when the concentration of pollutants in waste gas is greater, the corresponding chemical pollution value is greater, and the waste discharge value is greater; when the mass of waste residue is greater, the waste discharge value is greater; a two-dimensional rectangular coordinate system is constructed with time as the horizontal coordinate and the waste discharge value as the vertical coordinate, and the waste discharge value is input into the coordinate system according to its corresponding collection time, and the position of the waste discharge value in the coordinate system is recorded as the waste discharge point, and a smooth curve is used to connect each waste discharge point in turn to obtain a waste discharge value curve; a tangent line is drawn at each waste discharge point, and the slope of the tangent line is calculated by data fitting and recorded as the waste discharge slope Xj; the waste discharge slopes greater than zero are summed up to obtain the waste discharge increase value recorded as f1, and the waste discharge slopes less than zero are summed up and calculated and then the absolute value is taken to obtain the waste discharge reduction value recorded as f2;

[0116] The waste discharge value CGj, waste discharge slope Xj, waste discharge increase value f1 and waste discharge reduction value f2 at each collection time are normalized and their values ​​are taken, and the values ​​are calculated and analyzed by formula to obtain the waste discharge monitoring index XG; the specific calculation formula is:

[0117]

[0118] Among them, h1, h2, and h3 are the set proportional constants. is the average value of the waste discharge slope of each waste discharge point in the waste discharge value curve diagram; it can be seen from the formula that when the increasing trend of the waste discharge value is greater and the decreasing trend is smaller, it means that the potential pollution risk of the environment in the electroplating workshop is greater, and the waste discharge monitoring index is greater; when the waste discharge slope is more unstable, it means that the waste discharge environment state is more unstable, and the waste discharge monitoring index is greater;

[0119] Through the detailed processing and analysis of electroplating emission information such as wastewater, waste gas, and waste residue in the electroplating workshop, it is possible to accurately identify abnormal emission conditions in the electroplating workshop, calculate the waste emission monitoring index, and intuitively reflect the environmental risk status of the electroplating workshop;

[0120] The multi-source monitoring module ensures comprehensive monitoring of every link of the electroplating process by collecting and analyzing the electroplating equipment information and electroplating emission information in the electroplating workshop in real time; through in-depth analysis of electroplating equipment information such as voltage spectrum and current spectrum, as well as meticulous processing of electroplating emission information such as wastewater, waste gas and waste residue, the multi-source monitoring module can accurately identify abnormal conditions of electroplating equipment and emission status; the collected data is processed using advanced algorithms to calculate the equipment monitoring index and waste emission monitoring index, which can intuitively reflect the operating status and environmental risks of the electroplating workshop; once an abnormal situation is detected, the multi-source monitoring module can quickly send relevant information to the early warning management module, providing timely and accurate data support for subsequent early warning and management operations.

[0121] The early warning management module performs intelligent early warning and safety protection management based on the workshop characteristic parameters (equipment monitoring index and waste monitoring index) of the electroplating workshop, specifically:

[0122] Retrieve the equipment monitoring index of the electroplating workshop and compare and analyze it with the set equipment abnormality threshold. When the equipment monitoring index is greater than the set equipment abnormality threshold, an equipment abnormality warning is generated, otherwise an equipment normal signal is generated;

[0123] Retrieve the waste discharge monitoring index of the electroplating workshop, compare and analyze the waste discharge monitoring index with the set waste discharge pollution threshold, and generate a pollution abnormality warning when the waste discharge monitoring index is greater than the set waste discharge pollution threshold; otherwise, generate a pollution normal signal;

[0124] If there are both equipment abnormality warnings and pollution abnormality warnings, the electroplating equipment in the electroplating workshop will be shut down to prevent further deterioration of the electroplating equipment and cause greater equipment losses, and the electroplating workshop will be recorded as a dangerous workshop; a pollution danger signal will be sent to the administrator's mobile terminal, and the administrator will be reminded to wear special protective clothing, and the administrator will be notified in time that there is a potential emission hazard in the dangerous workshop, so that he can go there in time for processing; at the same time, an equipment abnormality instruction will be sent to the corresponding safety officer's mobile terminal, and the safety officer will be reminded to wear special protective clothing;

[0125] If there are both equipment abnormality warning and pollution normal signal, the equipment abnormality instruction will be sent to the mobile terminal of the corresponding safety officer, and the safety officer will be reminded to wear ordinary protective clothing;

[0126] If there are both normal equipment signals and abnormal pollution warnings, the electroplating workshop will be recorded as a dangerous workshop, and a pollution danger signal will be sent to the administrator's mobile terminal, and the administrator will be reminded to wear special protective clothing;

[0127] If there are both normal equipment signals and normal pollution signals, there is no need for early warning and management;

[0128] It should be noted that each electroplating workshop has a corresponding safety officer and an administrator. The safety officer is responsible for handling equipment abnormalities, and the administrator is mainly responsible for monitoring pollution emissions in the electroplating workshop.

[0129] According to the layout of the electroplating park, 3D modeling is carried out to obtain a 3D structural model of the electroplating park, and the safety status of each electroplating workshop is displayed. Dangerous workshops are displayed in yellow (including electroplating workshops that are shut down but have abnormal pollution warnings), electroplating workshops in shutdown state are displayed in red, and electroplating workshops in operation state are displayed in green; at the same time, the electroplating equipment information, electroplating emission information, status value curve chart and waste discharge curve chart of each electroplating workshop are linked to the electroplating workshop. When the administrator clicks the icon of the electroplating workshop, the relevant information of the electroplating workshop can be opened to view, allowing the administrator to Intuitively understand the overall operation of the park; identify the dangerous workshops in the 3D structural model of the electroplating park, use the minimum circumscribed circle simulation to obtain the center point of the dangerous workshop, calculate the distance between the center point and any point on the edge of the workshop, and select the largest distance as the effective distance of the dangerous workshop and record it as σ; take the waste discharge monitoring index XG of the dangerous electroplating area, normalize it with the effective distance σ and take its value, calculate the value to get the area radius Ψ, the specific calculation formula is: Ψ=σ+φ*XG, where φ is the set distance conversion coefficient;

[0130] like Figure 2 As shown, a circle is drawn with the center point as the center to obtain the danger zone (the shaded area in the figure). By obtaining the real-time position of each operator, if the operator is in the danger zone, the real-time image of the operator is obtained through the camera to identify whether the operator is wearing special protective clothing. If so, no warning is required; if not, a danger zone warning is sent to the operator's mobile terminal to promptly warn the operators in the workshop; by combining real-time position monitoring, image recognition and intelligent warning systems, rapid response and timely reminders can be achieved, thereby protecting the safety of operators;

[0131] Based on the equipment monitoring index and waste monitoring index, the early warning management module has built a multi-dimensional early warning system, which can comprehensively deal with various abnormal situations that may occur in the electroplating workshop. Through real-time monitoring and data analysis, the early warning management module can respond to abnormal situations as soon as possible, effectively avoiding the deterioration of the situation. According to different early warning situations, the early warning management module can accurately take corresponding safety protection measures, such as shutdown operations, sending equipment abnormal instructions, etc., to ensure the safe and stable operation of the electroplating workshop. At the same time, through 3D modeling technology, the early warning management module can intuitively display the overall operation of the electroplating park, help administrators better understand the status of the park and improve management efficiency. According to the status of each electroplating workshop in the 3D structural model of the electroplating park, the location and safety status of the operators are monitored in real time. Once the operators are found in a dangerous area and are not wearing special protective clothing, an early warning message will be sent immediately to ensure the safety of the operators.

[0132] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. Intelligent early warning and integrated management system based on multi-source data fusion, characterized by: include: Multi-source monitoring module and early warning management module; The multi-source monitoring module includes an electroplating equipment monitoring unit and an electroplating waste monitoring unit. Specifically, the electroplating equipment monitoring unit performs real-time monitoring and analysis on the status of electroplating equipment in the electroplating workshop based on the electroplating equipment information to obtain an equipment monitoring index; the electroplating waste monitoring unit performs real-time monitoring and analysis on the electroplating emission status based on the electroplating emission information to obtain a waste monitoring index; the equipment monitoring index and the waste monitoring index are integrated into workshop characteristic parameters and sent to the early warning management module; The early warning management module performs intelligent early warning and safety protection management based on the workshop characteristic parameters of the electroplating workshop, specifically: Retrieve the equipment monitoring index of the electroplating workshop and compare and analyze it with the set equipment abnormality threshold. When the equipment monitoring index is greater than the set equipment abnormality threshold, an equipment abnormality warning is generated, otherwise an equipment normal signal is generated; Retrieve the waste discharge monitoring index of the electroplating workshop, compare and analyze the waste discharge monitoring index with the set waste discharge pollution threshold, and generate a pollution abnormality warning when the waste discharge monitoring index is greater than the set waste discharge pollution threshold; Otherwise, a contaminated normal signal is generated; If there are both equipment abnormality warning and pollution abnormality warning, the electroplating equipment in the electroplating workshop will be shut down and the electroplating workshop will be marked as a dangerous workshop; a pollution danger signal will be sent to the administrator's mobile terminal, and the administrator will be reminded to wear special protective clothing; at the same time, an equipment abnormality instruction will be sent to the corresponding safety officer's mobile terminal, and the safety officer will be reminded to wear special protective clothing; If there are both equipment abnormality warning and pollution normal signal, the electroplating equipment in the electroplating workshop will be shut down, and the equipment abnormality instruction will be sent to the mobile terminal of the corresponding safety officer, and the safety officer will be reminded to wear ordinary protective clothing; If there are both normal equipment signals and abnormal pollution warnings, the electroplating workshop will be recorded as a dangerous workshop, and a pollution danger signal will be sent to the administrator's mobile terminal, and the administrator will be reminded to wear special protective clothing; If there are both normal equipment signals and normal pollution signals, there is no need for early warning and management; According to the layout of the electroplating park, 3D modeling is carried out to obtain a 3D structural model of the electroplating park, the safety status of each electroplating workshop is displayed, and safety warnings are issued to operators in the electroplating park based on this.

2. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 1 is characterized in that: The specific safety warning process is as follows: Dangerous workshops are displayed in yellow, electroplating workshops in shutdown state are displayed in red, and electroplating workshops in operation state are displayed in green; at the same time, the electroplating equipment information, electroplating emission information, state value curve chart and waste emission curve chart of each electroplating workshop are linked with the electroplating workshop; Identify the dangerous workshops in the 3D structural model of the electroplating park, use the minimum circumscribed circle simulation to obtain the center point of the dangerous workshop, calculate the distance between the center point and any point on the edge of the workshop, and select the largest distance as the effective distance of the dangerous workshop; take the waste discharge monitoring index of the dangerous electroplating area, normalize it with the effective distance and take its value, and calculate the value to obtain the area radius; The danger zone is obtained by drawing a circle with the center point as the center. The real-time position of each operator is obtained. If the operator is in the danger zone, the real-time position of the operator is obtained through the camera to identify whether the operator is wearing special protective clothing. If so, no warning is required; if not, a danger zone warning is sent to the operator's mobile terminal to remind him to leave the danger zone in time.

3. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 1 is characterized in that: The electroplating equipment status monitoring and analysis process of the electroplating equipment monitoring unit is as follows: 3-1: Retrieve the electroplating equipment information at each acquisition moment, and the specific electroplating equipment information includes voltage spectrum, current spectrum, electrolyte temperature, electrolyte flow, pH value, electrode potential and equipment load; set the electroplating equipment to have a standard process parameter, and the specific standard process parameters include standard voltage range, standard current range, standard electrolyte temperature range, standard electrolyte flow range, standard pH range, standard electrode potential range and standard equipment load range; 3-2: Spectrum analysis is performed based on the voltage spectrum and current spectrum to obtain the voltage deviation amplitude and current deviation amplitude respectively; 3-3: Compare the electrolyte temperature, electrolyte flow, pH value, electrode potential and equipment load with the standard electrolyte temperature interval, standard electrolyte flow interval, standard pH interval, standard electrode potential interval and standard equipment load interval in the standard process parameters to obtain the reference electrolyte temperature, reference electrolyte flow, reference pH value, reference electrode potential and reference equipment load at each collection time; 3-4: Set a waste discharge coefficient corresponding to each electroplating workshop, normalize the waste discharge coefficient, voltage deviation amplitude, current deviation amplitude, reference electrolyte temperature, reference electrolyte flow, reference pH value, reference electrode potential and reference equipment load, and take their values, and perform formula calculation and analysis on the values ​​to obtain the equipment status value at each collection time; 3-5: Construct a two-dimensional rectangular coordinate system with time as the horizontal coordinate and the state value as the vertical coordinate. Input the state value into the coordinate system according to its corresponding collection time, and record the position of the state value in the coordinate system as the state point. Use a smooth curve to connect the state points in sequence to obtain a state value curve graph; according to the state value curve graph, perform a graphical analysis of the changing trend of the equipment operating status in the electroplating workshop to obtain the equipment monitoring index.

4. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 1 is characterized in that: The electroplating discharge status monitoring and analysis process of the electroplating waste monitoring unit is as follows: 4-1: Retrieve the electroplating emission information at each collection time, where the electroplating emission information includes the types of pollutants in the wastewater and the corresponding concentration of each pollutant, the types of pollutants in the waste gas and the corresponding concentration of each pollutant, and the weight of waste residue; 4-2: Normalize the pollutant concentration in the wastewater, the pollutant concentration in the waste gas, and the waste residue mass and take their values. Formulate and analyze the values ​​to obtain the waste discharge coefficient, thereby obtaining the waste discharge coefficient at each collection time and sending it to the electroplating equipment monitoring unit; 4-3: Set a chemical pollution value for each pollutant in the wastewater and each pollutant in the waste gas, and compare each type of pollutant in the wastewater and each type of pollutant in the waste gas with all the pollutants in the set wastewater and all the pollutants in the waste gas to match the corresponding chemical pollution value; 4-4: Normalize the pollutant concentration in the wastewater and its corresponding chemical pollution value, the pollutant concentration in the waste gas and its corresponding chemical pollution value, and the waste residue mass and take their values, and perform formula calculation and analysis on the values ​​to obtain the waste discharge value, thereby obtaining the waste discharge value corresponding to each collection time; 4-5: Construct a two-dimensional rectangular coordinate system with the waste discharge value as the vertical coordinate, input the waste discharge value into the coordinate system according to its corresponding collection time, and record the position of the waste discharge value in the coordinate system as the waste discharge point, and use a smooth curve to connect each waste discharge point in sequence to obtain a waste discharge value curve chart; based on the waste discharge value curve chart, perform graphical analysis on the changing trend of the waste discharge status in the electroplating workshop to obtain the waste discharge monitoring index.

5. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 3 is characterized in that: The specific process of spectrum analysis is as follows: Identify peaks and dips in the voltage spectrum and record them as voltage transitions; Compare and analyze the transition values ​​corresponding to the voltage transitions in the voltage spectrum with the set transition intervals, so as to classify the voltage transitions corresponding to the transition values ​​into highly severe transitions, moderately severe transitions and slightly severe transitions, respectively count the cumulative times of highly severe transitions, moderately severe transitions and slightly severe transitions in the voltage transitions, and calculate the mean of the transition values ​​corresponding to each voltage transition to obtain the transition mean; The cumulative number of highly severe transitions, the cumulative number of moderately severe transitions, the cumulative number of slightly severe transitions and the transition mean value in the voltage transition are calculated and analyzed by formulating a transition amplitude of the voltage spectrum; According to the upper and lower limits of the standard voltage range, two straight lines are drawn parallel to the horizontal axis. The voltage spectrum is divided into three parts by the two straight lines. The areas of the three parts are calculated and analyzed by formula to obtain the super-range amplitude of the voltage spectrum. The transition amplitude and the over-range amplitude of the voltage spectrum are normalized and their values ​​are taken, and the values ​​are weighted to obtain the voltage deviation amplitude, thereby obtaining the voltage deviation amplitude of the voltage spectrum at each acquisition time; Similarly, the current deviation amplitude is obtained by performing spectrum analysis on the current spectrum.

6. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 4 is characterized in that: The specific process of interval distance comparison analysis is as follows: The electrolyte temperature and the standard electrolyte temperature range are marked on the numerical axis. If the electrolyte temperature is within the standard electrolyte temperature range, the reference electrolyte temperature is assigned a value of zero. Otherwise, the difference between the electrolyte temperature and the upper limit and lower limit of the standard electrolyte temperature range are calculated respectively, and the smallest difference is taken as the reference electrolyte temperature; Similarly, the electrolyte flow rate, pH value, electrode potential and equipment load are compared with the standard electrolyte flow rate interval, standard pH interval, standard electrode potential interval and standard equipment load interval in the standard process parameters to obtain the reference electrolyte flow rate, reference pH value, reference electrode potential and reference equipment load at each collection time.

7. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 5 is characterized in that: According to the state value curve chart, the changing trend of the equipment operation status in the electroplating workshop is graphically analyzed. The specific process is as follows: Draw a tangent line at each state point, and use data fitting to get the tangent slope, which is recorded as the state slope; sum up the state slopes greater than zero to get the abnormal increase value, and sum up the state slopes less than zero and take the absolute value to get the abnormal decrease value; The state value, state slope, abnormal increase value and abnormal decrease value at each acquisition moment are normalized and their numerical values ​​are taken, and the numerical values ​​are calculated and analyzed by formula to obtain the equipment monitoring index.

8. The intelligent early warning and integrated management system based on multi-source data fusion according to claim 4 is characterized in that: According to the waste discharge value curve, the changing trend of waste discharge status in the electroplating workshop is graphically analyzed. The specific process is as follows: Draw a tangent line at each waste discharge point, and use data fitting to calculate the slope of the tangent line and record it as the waste discharge slope; sum up the waste discharge slopes greater than zero to obtain the waste discharge increase value, and sum up the waste discharge slopes less than zero and then take the absolute value to obtain the waste discharge reduction value; The waste discharge value, waste discharge slope, waste discharge increase value and waste discharge decrease value at each collection moment are normalized and their numerical values ​​are taken, and the numerical values ​​are calculated and analyzed by formula to obtain the waste discharge monitoring index.

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